396 Publications

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[396]
2020 | Conference Paper | LibreCat-ID: 17407
Extreme Algorithm Selection with Dyadic Feature Representation
A. Tornede, M.D. Wever, E. Hüllermeier, in: Discovery Science, 2020.
LibreCat
 
[395]
2020 | Conference Paper | LibreCat-ID: 19953
A Novel Higher-order Weisfeiler-Lehman Graph Convolution
C. Damke, V. Melnikov, E. Hüllermeier, in: S. Jialin Pan, M. Sugiyama (Eds.), Proceedings of The 12th Asian Conference on Machine Learning, PMLR, Bangkok, Thailand, 2020, pp. 49–64.
LibreCat | Files available | arXiv
 
[394]
2020 | Conference Paper | LibreCat-ID: 17408
Hybrid Ranking and Regression for Algorithm Selection
J.M. Hanselle, A. Tornede, M.D. Wever, E. Hüllermeier, in: KI 2020: Advances in Artificial Intelligence, 2020.
LibreCat
 
[393]
2020 | Book Chapter | LibreCat-ID: 18014
Pool-Based Realtime Algorithm Configuration: A Preselection Bandit Approach
A. El Mesaoudi-Paul, D. Weiß, V. Bengs, E. Hüllermeier, K. Tierney, in: Learning and Intelligent Optimization. LION 2020., Springer, Cham, 2020, pp. 216–232.
LibreCat | DOI
 
[392]
2020 | Preprint | LibreCat-ID: 17605
Reliable Part-of-Speech Tagging of Historical Corpora through Set-Valued Prediction
S.H. Heid, M.D. Wever, E. Hüllermeier, Journal of Data Mining and Digital Humanities (n.d.).
LibreCat | Download (ext.)
 
[391]
2020 | Conference Paper | LibreCat-ID: 15629
LiBRe: Label-Wise Selection of Base Learners in Binary Relevance for Multi-Label Classification
M.D. Wever, A. Tornede, F. Mohr, E. Hüllermeier, in: Springer, n.d.
LibreCat
 
[390]
2020 | Conference Paper | LibreCat-ID: 17424
AutoML for Predictive Maintenance: One Tool to RUL them all
T. Tornede, A. Tornede, M.D. Wever, F. Mohr, E. Hüllermeier, in: Proceedings of the ECMLPKDD 2020, 2020.
LibreCat
 
[389]
2020 | Preprint | LibreCat-ID: 19603
Towards a Scalable and Flexible Simulation and Testing Environment Toolbox for Intelligent Microgrid Control
H. Bode, S.H. Heid, D. Weber, E. Hüllermeier, O. Wallscheid, ArXiv:2005.04869 (2020).
LibreCat | Download (ext.)
 
[388]
2020 | Journal Article | LibreCat-ID: 16725
Algorithm Selection for Software Validation Based on Graph Kernels
C. Richter, E. Hüllermeier, M.-C. Jakobs, H. Wehrheim, Journal of Automated Software Engineering (n.d.).
LibreCat
 
[387]
2020 | Preprint | LibreCat-ID: 18017
Online Preselection with Context Information under the Plackett-Luce Model
A. El Mesaoudi-Paul, V. Bengs, E. Hüllermeier, ArXiv:2002.04275 (n.d.).
LibreCat
 
[386]
2020 | Conference Paper | LibreCat-ID: 18276
Run2Survive: A Decision-theoretic Approach to Algorithm Selection based on Survival Analysis
A. Tornede, M.D. Wever, S. Werner, F. Mohr, E. Hüllermeier, in: 2020.
LibreCat | Download (ext.)
 
[385]
2019 | Journal Article | LibreCat-ID: 15002
Multi-target prediction: a unifying view on problems and methods
W. Waegeman, K. Dembczynski, E. Hüllermeier, Data Mining and Knowledge Discovery 33 (2019) 293–324.
LibreCat | Files available | DOI
 
[384]
2019 | Conference Paper | LibreCat-ID: 15014
Learning from Imprecise Data: Adjustments of Optimistic and Pessimistic Variants
E. Hüllermeier, I. Couso, S. Diestercke, in: Proceedings SUM 2019, International Conference on Scalable Uncertainty Management, 2019.
LibreCat
 
[383]
2019 | Conference Paper | LibreCat-ID: 15007
Learning to Aggregate: Tackling the Aggregation/Disaggregation Problem for OWA
V. Melnikov, E. Hüllermeier, in: Proceedings ACML, Asian Conference on Machine Learning (Proceedings of Machine Learning Research, 101), 2019.
LibreCat | Files available | DOI
 
[382]
2019 | Conference Paper | LibreCat-ID: 15003
Set-Valued Prediction in Multi-Class Classification
T. Mortier, M. Wydmuch, K. Dembczynski, E. Hüllermeier, W. Waegeman, in: Proceedings of the 31st Benelux Conference on Artificial Intelligence {(BNAIC} 2019) and the 28th Belgian Dutch Conference on Machine Learning (Benelearn 2019), Brussels, Belgium, November 6-8, 2019, 2019.
LibreCat
 
[381]
2019 | Journal Article | LibreCat-ID: 15015
Mining Rank Data
S. Henzgen, E. Hüllermeier, ACM Transactions on Knowledge Discovery from Data (2019) 1–36.
LibreCat | DOI
 
[380]
2019 | Conference Paper | LibreCat-ID: 10232
Automating Multi-Label Classification Extending ML-Plan
M.D. Wever, F. Mohr, A. Tornede, E. Hüllermeier, in: 2019.
LibreCat | Files available
 
[379]
2019 | Journal Article | LibreCat-ID: 10578
Choice Functions Generated by Mallows and Plackett–Luce Relations
V.K. Tagne, S. Fotso, L.A. Fono, E. Hüllermeier, New Mathematics and Natural Computation 15 (2019) 191–213.
LibreCat
 
[378]
2019 | Book Chapter | LibreCat-ID: 15004
Feature Selection for Analogy-Based Learning to Rank
M. Ahmadi Fahandar, E. Hüllermeier, in: Discovery Science, Cham, 2019.
LibreCat | DOI
 
[377]
2019 | Conference Paper | LibreCat-ID: 15011
Algorithm Selection as Recommendation: From Collaborative Filtering to Dyad Ranking
A. Tornede, M.D. Wever, E. Hüllermeier, in: F. Hoffmann, E. Hüllermeier, R. Mikut (Eds.), Proceedings - 29. Workshop Computational Intelligence, Dortmund, 28. - 29. November 2019, KIT Scientific Publishing, Karlsruhe, 2019, pp. 135–146.
LibreCat | Files available
 
[376]
2019 | Book Chapter | LibreCat-ID: 15005
Analogy-Based Preference Learning with Kernels
M. Ahmadi Fahandar, E. Hüllermeier, in: KI 2019: Advances in Artificial Intelligence, Cham, 2019.
LibreCat | DOI
 
[375]
2019 | Preprint | LibreCat-ID: 18016
Preselection Bandits under the Plackett-Luce Model
V. Bengs, E. Hüllermeier, ArXiv:1907.06123 (n.d.).
LibreCat
 
[374]
2019 | Conference Abstract | LibreCat-ID: 13132
From Automated to On-The-Fly Machine Learning
F. Mohr, M.D. Wever, A. Tornede, E. Hüllermeier, in: INFORMATIK 2019: 50 Jahre Gesellschaft Für Informatik – Informatik Für Gesellschaft, Gesellschaft für Informatik e.V., Bonn, 2019, pp. 273–274.
LibreCat
 
[373]
2019 | Journal Article | LibreCat-ID: 15001
Fuzzy Sets in Data Analysis: From Statistical Foundations to Machine Learning
I. Couso, C. Borgelt, E. Hüllermeier, R. Kruse, IEEE Computational Intelligence Magazine (2019) 31–44.
LibreCat | DOI
 
[372]
2019 | Book Chapter | LibreCat-ID: 15006
Epistemic Uncertainty Sampling
V.-L. Nguyen, S. Destercke, E. Hüllermeier, in: Discovery Science, Cham, 2019.
LibreCat | DOI
 
[371]
2019 | Conference Paper | LibreCat-ID: 15013
A Reduction of Label Ranking to Multiclass Classification
K. Brinker, E. Hüllermeier, in: Proceedings ECML/PKDD, European Conference on Machine Learning and Knowledge Discovery in Databases, Würzburg, Germany, 2019.
LibreCat
 
[370]
2019 | Conference Abstract | LibreCat-ID: 8868
Towards Automated Machine Learning for Multi-Label Classification
M.D. Wever, F. Mohr, E. Hüllermeier, A. Hetzer, in: 2019.
LibreCat | Files available
 
[369]
2018 | Conference Paper | LibreCat-ID: 10184
Preference-Based Reinforcement Learning Using Dyad Ranking
D. Schäfer, E. Hüllermeier, in: Proc. 21st Int. Conference on Discovery Science (DS), 2018, pp. 161–175.
LibreCat
 
[368]
2018 | Conference Paper | LibreCat-ID: 2479
(WIP) Towards the Automated Composition of Machine Learning Services
F. Mohr, M.D. Wever, E. Hüllermeier, A. Faez, in: SCC, IEEE, San Francisco, CA, USA, 2018.
LibreCat | Files available | DOI | Download (ext.)
 
[367]
2018 | Conference Paper | LibreCat-ID: 3852
ML-Plan for Unlimited-Length Machine Learning Pipelines
M.D. Wever, F. Mohr, E. Hüllermeier, in: ICML 2018 AutoML Workshop, 2018.
LibreCat | Files available | Download (ext.)
 
[366]
2018 | Conference (Editor) | LibreCat-ID: 10591
Research Directions for Principles of Data Management
S. Abiteboul, M. Arenas, P. Barceló, M. Bienvenu, D. Calvanese, C. David, R. Hull, E. Hüllermeier, B. Kimelfeld, L. Libkin, W. Martens, T. Milo, F. Murlak, F. Neven, M. Ortiz, T. Schwentick, J. Stoyanovich, J. Su, D. Suciu, V. Vianu, K. Yi, eds., Research Directions for Principles of Data Management, 2018.
LibreCat
 
[365]
2018 | Preprint | LibreCat-ID: 17713
Automated Multi-Label Classification based on ML-Plan
M.D. Wever, F. Mohr, E. Hüllermeier, (2018).
LibreCat | Download (ext.)
 
[364]
2018 | Conference Paper | LibreCat-ID: 10148
Ranking Distributions based on Noisy Sorting
A. El Mesaoudi-Paul, E. Hüllermeier, R. Busa-Fekete, in: Proc. 35th Int. Conference on Machine Learning (ICML), 2018, pp. 3469–3477.
LibreCat
 
[363]
2018 | Conference Paper | LibreCat-ID: 10181
Reliable Multi-class Classification based on Pairwise Epistemic and Aleatoric Uncertainty
V.-L. Nguyen, S. Destercke, M.-H. Masson, E. Hüllermeier, in: Proc. 27th Int.Joint Conference on Artificial Intelligence (IJCAI), 2018, pp. 5089–5095.
LibreCat
 
[362]
2018 | Journal Article | LibreCat-ID: 16038
Dyad ranking using Plackett-Luce models based on joint feature representations
D. Schäfer, E. Hüllermeier, Machine Learning 107 (2018) 903–941.
LibreCat
 
[361]
2018 | Conference Paper | LibreCat-ID: 2109
Ensembles of Evolved Nested Dichotomies for Classification
M.D. Wever, F. Mohr, E. Hüllermeier, in: Proceedings of the Genetic and Evolutionary Computation Conference, GECCO 2018, Kyoto, Japan, July 15-19, 2018, ACM, Kyoto, Japan, 2018.
LibreCat | Files available | DOI | Download (ext.)
 
[360]
2018 | Conference Paper | LibreCat-ID: 2471
On-The-Fly Service Construction with Prototypes
F. Mohr, M.D. Wever, E. Hüllermeier, in: SCC, IEEE Computer Society, San Francisco, CA, USA, 2018.
LibreCat | Files available | DOI | Download (ext.)
 
[359]
2018 | Book Chapter | LibreCat-ID: 6423
Preference-Based Reinforcement Learning Using Dyad Ranking
D. Schäfer, E. Hüllermeier, in: Discovery Science, Springer International Publishing, Cham, 2018, pp. 161–175.
LibreCat | Files available | DOI
 
[358]
2018 | Preprint | LibreCat-ID: 17714
Automated machine learning service composition
F. Mohr, M.D. Wever, E. Hüllermeier, (2018).
LibreCat | Download (ext.)
 
[357]
2018 | Journal Article | LibreCat-ID: 10276
Dyad Ranking Using Plackett-Luce Models based on joint feature representations
D. Schäfer, E. Hüllermeier, Machine Learning 107 (2018) 903–941.
LibreCat
 
[356]
2018 | Conference Paper | LibreCat-ID: 10149
A Reinforcement Learning Strategy for the Swing-Up of the Double Pendulum on a Cart
M. Hesse, J. Timmermann, E. Hüllermeier, A. Trächtler, in: Proc. 4th Int. Conference on System-Integrated Intelligence: Intelligent, Flexible and Connected Systems in Products and Production, Procedia Manufacturing 24, 2018, pp. 15–20.
LibreCat
 
[355]
2018 | Book Chapter | LibreCat-ID: 10783
Statistical Inference for Incomplete Ranking Data: A Comparison of two likelihood-based estimators
I. Couso, E. Hüllermeier, in: S. Mostaghim, A. Nürnberger, C. Borgelt (Eds.), Frontiers in Computational Intelligence, Springer, 2018, pp. 31–46.
LibreCat
 
[354]
2018 | Conference Paper | LibreCat-ID: 2857
Programmatic Task Network Planning
F. Mohr, T. Lettmann, E. Hüllermeier, M.D. Wever, in: Proceedings of the 1st ICAPS Workshop on Hierarchical Planning, AAAI, 2018, pp. 31–39.
LibreCat | Files available | Download (ext.)
 
[353]
2018 | Conference Paper | LibreCat-ID: 3552
Reduction Stumps for Multi-Class Classification
F. Mohr, M.D. Wever, E. Hüllermeier, in: Proceedings of the Symposium on Intelligent Data Analysis, ‘s-Hertogenbosch, the Netherlands, n.d.
LibreCat | Files available | DOI | Download (ext.)
 
[352]
2018 | Conference Paper | LibreCat-ID: 10145
Learning to Rank Based on Analogical Reasoning
M. Ahmadi Fahandar, E. Hüllermeier, in: Proc. 32 Nd AAAI Conference on Artificial Intelligence (AAAI), 2018, pp. 2951–2958.
LibreCat
 
[351]
2018 | Book Chapter | LibreCat-ID: 10152
Learning interpretable rules for multi-label classification
E.L. Mencia, J. Fürnkranz, E. Hüllermeier, M. Rapp, in: H. Jair Escalante, S. Escalera, I. Guyon, X. Baro, Y. Güclüütürk, U. Güclü, M.A.J. van Gerven (Eds.), Explainable and Interpretable Models in Computer Vision and Machine Learning, Springer, 2018, pp. 81–113.
LibreCat
 
[350]
2018 | Conference Abstract | LibreCat-ID: 1379
Supporting the Cognitive Process in Annotation Tasks
N. Seemann, M. Geierhos, M.-L. Merten, D. Tophinke, M.D. Wever, E. Hüllermeier, in: K. Eckart, D. Schlechtweg (Eds.), Postersession Computerlinguistik der 40. Jahrestagung der Deutschen Gesellschaft für Sprachwissenschaft, 2018.
LibreCat | Files available | Download (ext.)
 
[349]
2018 | Journal Article | LibreCat-ID: 3510
ML-Plan: Automated Machine Learning via Hierarchical Planning
F. Mohr, M.D. Wever, E. Hüllermeier, Machine Learning (2018) 1495–1515.
LibreCat | Files available | DOI | Download (ext.)
 
[348]
2018 | Journal Article | LibreCat-ID: 3402 LibreCat | Files available | DOI
 
[347]
2017 | Conference Paper | LibreCat-ID: 10204
Estimating relative depth in single images via rankboost
R. Ewerth, M. Springstein, E. Müller, A. Balz, J. Gehlhaar, T. Naziyok, K. Dembczynski, E. Hüllermeier, in: Proc. IEEE Int. Conf. on Multimedia and Expo (ICME 2017), 2017, pp. 919–924.
LibreCat
 
[346]
2017 | Conference Paper | LibreCat-ID: 10209
Learning to Rank based on Analogical Reasoning
M. Ahmadi Fahandar, E. Hüllermeier, in: Proc. AAAI 2017, 32nd AAAI Conference on Artificial Intelligence, 2017.
LibreCat
 
[345]
2017 | Conference Paper | LibreCat-ID: 10216
Learning TSK Fuzzy Rules from Data Streams
A. Shaker, W. Heldt, E. Hüllermeier, in: Proceedings ECML/PKDD, European Conference on Machine Learning and Knowledge Discovery in Databases, Skopje, Macedonia, 2017.
LibreCat
 
[344]
2017 | Conference Paper | LibreCat-ID: 1180
Automatic Machine Learning: Hierachical Planning Versus Evolutionary Optimization
M.D. Wever, F. Mohr, E. Hüllermeier, in: 27th Workshop Computational Intelligence, Dortmund, 2017.
LibreCat | Files available | Download (ext.)
 
[343]
2017 | Conference Paper | LibreCat-ID: 15110
Maximum likelihood estimation and coarse data
I. Couso, D. Dubois, E. Hüllermeier, in: In Proceedings SUM 2017, 11th International Conference on Scalable Uncertainty Management, Granada, Spain, Springer, 2017, pp. 3–16.
LibreCat
 
[342]
2017 | Encyclopedia Article | LibreCat-ID: 10589
Preference Learning
J. Fürnkranz, E. Hüllermeier, in: Encyclopedia of Machine Learning and Data Mining, 2017, pp. 1000–1005.
LibreCat
 
[341]
2017 | Conference Paper | LibreCat-ID: 10205
Statistical Inference for Incomplete Ranking Data: The Case of Rank-Dependent Coarsening
M. Ahmadi Fahandar, E. Hüllermeier, I. Couso, in: Proc. 34th Int. Conf. on Machine Learning (ICML 2017), 2017, pp. 1078–1087.
LibreCat
 
[340]
2017 | Conference Paper | LibreCat-ID: 10212 LibreCat
 
[339]
2017 | Journal Article | LibreCat-ID: 10267
Lexicographic preferences for predictive modeling of human decision making. A new machine learning method with an application in accounting
M. Bräuning, E. Hüllermeier, T. Keller, M. Glaum, European Journal of Operational Research 258 (2017) 295–306.
LibreCat
 
[338]
2017 | Conference Paper | LibreCat-ID: 15399
Predicting rankings of software verification tools
M. Czech, E. Hüllermeier, M.C. Jacobs, H. Wehrheim, in: In Proceedings ESEC/FSE Workshops 2017 - 3rd ACM SIGSOFT, International Workshop on Software Analytics (SWAN 2017), Paderborn Germany, 2017.
LibreCat
 
[337]
2017 | Conference Paper | LibreCat-ID: 10213
Optimizing the Structure of Nested Dichotomies: A Comparison of Two Heuristics
V. Melnikov, E. Hüllermeier, in: Proceedings 27. Workshop Computational Intelligence, Dortmund, Germany 2017, 2017, pp. 1–12.
LibreCat
 
[336]
2017 | Journal Article | LibreCat-ID: 10268
Imprecise Matching of Requirements Specifications for Software Services Using Fuzzy Logic
M.-C. Platenius, A. Shaker, M. Becker, E. Hüllermeier, W. Schäfer, IEEE Transactions on Software Engineering 43 (2017) 739–759.
LibreCat
 
[335]
2017 | Conference Paper | LibreCat-ID: 10206
Planning with Independent Task Networks
F. Mohr, T. Lettmann, E. Hüllermeier, in: Proc. 40th Annual German Conference on Advances in Artificial Intelligence (KI 2017), 2017, pp. 193–206.
LibreCat | Files available | DOI
 
[334]
2017 | Conference Paper | LibreCat-ID: 10207
Predicting rankings of software verification tools
M. Czech, E. Hüllermeier, M.-C. Jakobs, H. Wehrheim, in: Proc. 3rd ACM SIGSOFT Int. I Workshop on Software Analytics (SWAN@ESEC/SIGSOFT FSE 2017, 2017, pp. 23–26.
LibreCat
 
[333]
2017 | Journal Article | LibreCat-ID: 10269
From Knowledge-based to Data-driven Modeling of Fuzzy Rule-based Systems: A Critical Reflection
E. Hüllermeier, The Computing Research Repository  (CoRR) (2017).
LibreCat
 
[332]
2017 | Conference Paper | LibreCat-ID: 71
Predicting Rankings of Software Verification Tools
M. Czech, E. Hüllermeier, M.-C. Jakobs, H. Wehrheim, in: Proceedings of the 3rd International Workshop on Software Analytics, 2017, pp. 23–26.
LibreCat | Files available | DOI
 
[331]
2017 | Book Chapter | LibreCat-ID: 10784
Preference Learning
J. Fürnkranz, E. Hüllermeier, in: C. Sammut, G.I. Webb (Eds.), Encyclopedia of Machine Learning and Data Mining, Springer, 2017, pp. 1000–1005.
LibreCat
 
[330]
2017 | Conference Paper | LibreCat-ID: 10208
Maximum Likelihood Estimation and Coarse Data
I. Couso, D. Dubois, E. Hüllermeier, in: Proc. 11th Int. Conf. on Scalable Uncertainty Management (SUM 2017), 2017, pp. 3–16.
LibreCat
 
[329]
2017 | Conference Paper | LibreCat-ID: 15397
Optimizing the structure of nested dichotomies. A comparison of two heuristics
V. Melnikov, E. Hüllermeier, in: F. Hoffmann, E. Hüllermeier, R. Mikut (Eds.), In Proceedings 27th Workshop Computational Intelligence, Dortmund Germany, KIT Scientific Publishing, 2017, pp. 1–12.
LibreCat
 
[328]
2017 | Report | LibreCat-ID: 72
Predicting Rankings of Software Verification Competitions
M. Czech, E. Hüllermeier, M.-C. Jakobs, H. Wehrheim, Predicting Rankings of Software Verification Competitions, 2017.
LibreCat | Files available
 
[327]
2017 | Conference Paper | LibreCat-ID: 3325
Optimizing the Structure of Nested Dichotomies: A Comparison of Two Heuristics
V. Melnikov, E. Hüllermeier, in: Proceedings. 27. Workshop Computational Intelligence, Dortmund, 23. - 24. November 2017, KIT Scientific Publishing, 2017.
LibreCat | Files available | DOI
 
[326]
2016 | Encyclopedia Article | LibreCat-ID: 10785
Preference Learning
J. Fürnkranz, E. Hüllermeier, in: C. Sammut, G.I. Webb (Eds.), Encyclopedia of Machine Learning and Data Mining, Springer, 2016.
LibreCat
 
[325]
2016 | Conference Paper | LibreCat-ID: 10223
Learning to aggregate using uninorms, in Proceedings ECML/PKDD-2016
V. Melnikov, E. Hüllermeier, in: European Conference on Machine Learning and Knowledge Discovery in Databases, Part II, Riva Del Garda, Italy, 2016, pp. 756–771.
LibreCat
 
[324]
2016 | Conference Paper | LibreCat-ID: 10228
Preference-Based Reinforcement Learning Using Dyad Ranking
D. Schäfer, E. Hüllermeier, in: R. Busa-Fekete, E. Hüllermeier, V. Mousseau, K. Pfannschmidt (Eds.), Proceedings DA2PL ´2016, Euro Mini Conference from Multiple Criteria Decision Aid to Preference Learning, 2016.
LibreCat
 
[323]
2016 | Conference Paper | LibreCat-ID: 10230
Support vector classification on noisy data using fuzzy supersets losses
S. Lu, E. Hüllermeier, in: F. Hoffmann, E. Hüllermeier, R. Mikut (Eds.), Proceedings 26. Workshop Computational Intelligence, KIT Scientific Publishing, 2016, pp. 1–8.
LibreCat
 
[322]
2016 | Journal Article | LibreCat-ID: 10266 LibreCat
 
[321]
2016 | Conference Paper | LibreCat-ID: 15401
Preference -based reinforcement learning using dyad ranking
D. Schäfer, E. Hüllermeier, in: R. Busa-Fekete, E. Hüllermeier, V. Mousseau, K. Pfannschmidt (Eds.), In Proceedings DA2PL`2016 Euro Mini Conference From Multiple Criteria Decision Aid to Preference Learning, Paderborn, Germany, 2016.
LibreCat
 
[320]
2016 | Conference Paper | LibreCat-ID: 10224
Consistency of probalistic classifier trees
K. Dembczynski, W. Kotlowski, W. Waegeman, R. Busa-Fekete, E. Hüllermeier, in: In Proceedings ECML/PKDD European Conference on Maschine Learning and Knowledge Discovery in Databases, Part II, Riva Del Garda, Italy, 2016, pp. 511–526.
LibreCat
 
[319]
2016 | Conference Paper | LibreCat-ID: 10229
Statistical Inference for Incomplete Ranking Data: A Comparison of two likelihood-based estimators
I. Couso, M. Ahmadi Fahandar, E. Hüllermeier, in: R. Busa-Fekete, E. Hüllermeier, V. Mousseau, K. Pfannschmidt (Eds.), Proceedings DA2PL ´2016, Euro Mini Conference from Multiple Criteria Decision Aid to Preference Learning, 2016.
LibreCat
 
[318]
2016 | Conference Paper | LibreCat-ID: 10231
Plackett-Luce networks for dyad ranking
D. Schäfer, E. Hüllermeier, in: In Workshop LWDA “Lernen, Wissen, Daten, Analysen,” 2016.
LibreCat
 
[317]
2016 | Conference Paper | LibreCat-ID: 15402
Statistical Inference for Incomplete Ranking Data: A Comparison of two likelihood-based estimators
I. Couso, M. Ahmadi Fahandar, E. Hüllermeier, in: R. Busa-Fekete, E. Hüllermeier, V. Mousseau, K. Pfannschmidt (Eds.), In Proceedings DA2PL 2016 EURO Mini Conference From Multiple Criteria Decision Aid to Preference Learning, Paderborn Germany, 2016.
LibreCat
 
[316]
2016 | Conference Paper | LibreCat-ID: 15111
Evaluating tests in medical diagnosis-Combining machine learning with game-theoretical concepts
K. Pfannschmidt, E. Hüllermeier, S. Held, R. Neiger, in: In Proceedings IPMU 16th International Conference on Information Processing and Management  of Uncertainty in Knowledge-Based Systems, Part 1, Eindhoven, The Netherlands, Springer, 2016, pp. 450–461.
LibreCat
 
[315]
2016 | Conference Paper | LibreCat-ID: 10225
Predicting the electricity consumption of buildings: An improved CBR approach
A. Shabani, A. Paul, R. Platon, E. Hüllermeier, in: In Proceedings ICCBR, 24th International Conference on Case-Based Reasoning, Atlanta, GA, USA, 2016, pp. 356–369.
LibreCat
 
[314]
2016 | Conference (Editor) | LibreCat-ID: 10263
ECAI 2016, 22nd European Conference on Artificial Intelligence, including PAIS 2016, Prestigious Applications of Artificial Intelligence
G.A. Kaminka, M. Fox, P. Bouquet, E. Hüllermeier, V. Dignum, F. Dignum, F. van Harmelen, eds., ECAI 2016, 22nd European Conference on Artificial Intelligence, Including PAIS 2016, Prestigious Applications of Artificial Intelligence, IOS Press, The Hague, The Netherlands, 2016.
LibreCat
 
[313]
2016 | Conference Paper | LibreCat-ID: 15403
Support vector classification on noisy data using fuzzy superset losses
S. Lu, E. Hüllermeier, in: E. Hüllermeier, F. Hoffmann, R. Mikut (Eds.), In Proceedings 26th Workshop Computational Intelligence, Dortmund Germany, KIT Scientific Publishing, 2016, pp. 1–8.
LibreCat
 
[312]
2016 | Journal Article | LibreCat-ID: 190
Imprecise Matching of Requirements Specifications for Software Services using Fuzzy Logic
M.C. Platenius, A. Shaker, M. Becker, E. Hüllermeier, W. Schäfer, IEEE Transactions on Software Engineering (TSE), Presented at ICSE 2017 (2016) 739–759.
LibreCat | Files available | DOI
 
[311]
2016 | Book Chapter | LibreCat-ID: 10214
Preference Learning
J. Fürnkranz, E. Hüllermeier, in: C. Sammut, G.I. Webb (Eds.), Encyclopedia of Machine Learning and Data Mining, Springer, 2016.
LibreCat
 
[310]
2016 | Conference (Editor) | LibreCat-ID: 10221
Proceedings 26. Workshop Computational Intelligence KIT Scientific Publishing, Karlsruhe, Germany
F. Hoffmann, E. Hüllermeier, R. Mikut, eds., Proceedings 26. Workshop Computational Intelligence KIT Scientific Publishing, Karlsruhe, Germany, 2016.
LibreCat
 
[309]
2016 | Conference Paper | LibreCat-ID: 10226
Evaluating tests in medical diagnosis-Combining machine learning with game-theoretical concepts
K. Pfannschmidt, E. Hüllermeier, S. Held, R. Neiger, in: In Proceedings IPMU 16th International Conference on Information Processing and Management  of Uncertainty in Knowledge-Based Systems, Part 1, Eindhoven, The Netherlands, Springer, 2016, pp. 450–461.
LibreCat
 
[308]
2016 | Journal Article | LibreCat-ID: 10264
CavSimBase: A database for large scale comparison of protein binding sites
M. Leinweber, T. Fober, M. Strickert, L. Baumgärtner, G. Klebe, B. Freisleben, E. Hüllermeier, IEEE Transactions on Knowledge and Data Engineering 28 (2016) 1423–1434.
LibreCat
 
[307]
2016 | Conference Paper | LibreCat-ID: 15404
Plackett-Luce networks for dyad ranking
D. Schäfer, E. Hüllermeier, in: In Workshop LWDA “Lernen, Wissen, Daten, Analysen” Potsdam, Germany, 2016.
LibreCat
 
[306]
2016 | Journal Article | LibreCat-ID: 16041
CavSimBase: A database for large scale comparison of protein binding sites
M. Leinweber, T. Fober, M. Strickert, L. Baumgärtner, G. Klebe, B. Freisleben, E. Hüllermeier, IEEE Transactions on Knowledge and Data Engineering 28 (2016) 1423–1434.
LibreCat
 
[305]
2016 | Conference Paper | LibreCat-ID: 184
Learning to Aggregate Using Uninorms
V. Melnikov, E. Hüllermeier, in: Proceedings of the Joint European Conference on Machine Learning and Knowledge Discovery in Databases (ECML/PKDD 2016), 2016, pp. 756–771.
LibreCat | Files available | DOI
 
[304]
2016 | Conference Paper | LibreCat-ID: 10222
Extreme F-measure maximization using sparse probability estimates
K. Jasinska, K. Dembczynski, R. Busa-Fekete, T. Klerx, E. Hüllermeier, in: M.F. Balcan, K.Q. Weinberger (Eds.), Proceedings ICML-2016, 33th International Conference on Machine Learning, New York, USA, 2016.
LibreCat
 
[303]
2016 | Conference Paper | LibreCat-ID: 10227
On the Identifiability of models in multi-criteria preference learning
C. Labreuche, E. Hüllermeier, P. Vojtas, A. Fallah Tehrani, in: R. Busa-Fekete, E. Hüllermeier, V. Mousseau, K. Pfannschmidt (Eds.), Proceedings DA2PL ´2016, Euro Mini Conference from Multiple Criteria Decision Aid to Preference Learning, 2016.
LibreCat
 
[302]
2016 | Conference Paper | LibreCat-ID: 15400
On the identifiability of models in multi-criteria preference learning
C. Labreuche, E. Hüllermeier, P. Vojtas, A. Fallah Tehrani, in: R. Busa-Fekete, E. Hüllermeier, V. Mousseau, K. Pfannschmidt (Eds.), In Proceedings DA2PL 2016 EURO Mini Conference From Multiple Criteria Decision Aid to Preference Learning, Paderborn Germany, 2016.
LibreCat
 
[301]
2016 | Journal Article | LibreCat-ID: 3318
Pairwise versus Pointwise Ranking: A Case Study
V. Melnikov, E. Hüllermeier, D. Kaimann, B. Frick, Pritha Gupta, Schedae Informaticae 25 (2016).
LibreCat | Files available | DOI
 
[300]
2015 | Journal Article | LibreCat-ID: 10324
Fast Fuzzy Pattern Tree Learning of Classification
R. Senge, E. Hüllermeier, IEEE Transactions on Fuzzy Systems 23 (2015) 2024–2033.
LibreCat
 
[299]
2015 | Conference Paper | LibreCat-ID: 10235 LibreCat
 
[298]
2015 | Conference Paper | LibreCat-ID: 10242
Online F-Measure Optimization
B. Szörényi, R. Busa-Fekete, K. Dembczynski, E. Hüllermeier, in: In Advances in Neural Information Processing Systems 28 (NIPS 2015), 2015, pp. 595–603.
LibreCat
 
[297]
2015 | Conference Paper | LibreCat-ID: 15406
Preference-based meta-learning using dyad ranking: Recommending algorithms in cold-start situations
D. Schäfer, E. Hüllermeier, in: In Proceedings of the 2015 International Workshop on Meta-Learning and Algorithm Selection Co-Located ECML/PKDD, Porto, Portugal, 2015, pp. 110–111.
LibreCat
 
[296]
2015 | Journal Article | LibreCat-ID: 16067 LibreCat
 
[295]
2015 | Journal Article | LibreCat-ID: 4792
Fast Fuzzy Pattern Tree Learning for Classification
R. Senge, E. Hüllermeier, IEEE Transactions on Fuzzy Systems 23 (2015) 2024–2033.
LibreCat | Files available | DOI
 
[294]
2015 | Conference Paper | LibreCat-ID: 10236
Case Base Maintenance in Preference-Based CBR
A. Abdel-Aziz, E. Hüllermeier, in: In Proceedings 23rd International Conference on Case-Based Reasoning (ICCBR 2015), 2015, pp. 1–14.
LibreCat
 
[293]
2015 | Conference Paper | LibreCat-ID: 10243
A CBR Approach to the Angry Birds Game
A. El Mesaoudi-Paul, E. Hüllermeier, in: In Workshop Proc. 23rd International Conference on Case-Based Reasoning (ICCBR 2015), 2015, pp. 68–77.
LibreCat
 
[292]
2015 | Journal Article | LibreCat-ID: 10320
Does machine learning need fuzzy logic?
E. Hüllermeier, Fuzzy Sets and Systems 281 (2015) 292–299.
LibreCat
 
[291]
2015 | Conference Paper | LibreCat-ID: 15750
Depth estimation in monocular images: Quantitative versus qualitative approaches
R. Ewerth, A. Balz, J. Gehlhaar, K. Dembczynski, E. Hüllermeier, in: F. Hoffmann, E. Hüllermeier (Eds.), In Proceedings 25. Workshop Computational Intelligence, Dortmund, Germany, KIT Scientific Publishing, 2015, pp. 235–240.
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[290]
2015 | Journal Article | LibreCat-ID: 16049
Fast fuzzy pattern tree learning for classification
R. Senge, E. Hüllermeier, IEEE Transactions on Fuzzy Systems 23 (2015) 2024–2033.
LibreCat
 
[289]
2015 | Journal Article | LibreCat-ID: 16051 LibreCat
 
[288]
2015 | Conference Paper | LibreCat-ID: 10237
Qualitative Multi-Armed Bandits: A Quantile-Based Approach
B. Szörényi, R. Busa-Fekete, P. Weng, E. Hüllermeier, in: In Proceedings International Conference on Machine Learning (ICML 2015), 2015, pp. 1660–1668.
LibreCat
 
[287]
2015 | Conference Paper | LibreCat-ID: 10244
Preference-Based Meta- Learning Using Dyad Ranking: Recommending Algorithms in Cold-Start Situations
D. Schäfer, E. Hüllermeier, in: In Proceedings of the 2015 International Workshop on Meta-Learning and Algorithm Selection (MetaSel@PKDD/ECML), 2015, pp. 110–111.
LibreCat
 
[286]
2015 | Journal Article | LibreCat-ID: 10319
On the Bayes-Optimality of F-Measure Maximizers
W. Waegeman, K. Dembczynski, A. Jachnik, W. Cheng, E. Hüllermeier, In Journal of Machine Learning Research 15 (2015) 3333–3388.
LibreCat
 
[285]
2015 | Journal Article | LibreCat-ID: 10321 LibreCat
 
[284]
2015 | Conference Paper | LibreCat-ID: 15749
A cbr approach to the angry birds game
A. Paul, E. Hüllermeier, in: In Workshop Proceedings from ICCBR, 23rd International Conference on Case-Based Reasoning, Frankfurt, Germany, 2015, pp. 68–77.
LibreCat
 
[283]
2015 | Conference Paper | LibreCat-ID: 15751
Locally weighted regression through data imprecisiation
S. Lu, E. Hüllermeier, in: F. Hoffmann, E. Hüllermeier (Eds.), In Proceedings 25th Workshop Computational Intelligence, Dortmund Germany, KIT Scientific Publishing, 2015, pp. 97–104.
LibreCat
 
[282]
2015 | Conference Paper | LibreCat-ID: 10238
Dyad Ranking Using A Bilinear Plackett-Luce Model
D. Schäfer, E. Hüllermeier, in: In Proceedings European Conference on Machine Learning and Knowledge Discovery in Databases (ECML/PKDD), 2015, pp. 227–242.
LibreCat
 
[281]
2015 | Conference Paper | LibreCat-ID: 10240
Weighted Rank Correlation : A Flexible Approach Based on Fuzzy Order Relations
S. Henzgen, E. Hüllermeier, in: In Proceedings European Conference on Machine Learning and Knowledge Discovery in Databases (ECML/PKDD), 2015, pp. 422–437.
LibreCat
 
[280]
2015 | Conference Paper | LibreCat-ID: 10245
Locally weighted regression through data imprecisiation
S. Lu, E. Hüllermeier, in: Proceedings 25. Workshop Computational Intelligence, 2015, pp. 97–104.
LibreCat
 
[279]
2015 | Journal Article | LibreCat-ID: 10322 LibreCat
 
[278]
2015 | Journal Article | LibreCat-ID: 16053
Does machine learning need fuzzy logic?
E. Hüllermeier, Fuzzy Sets and Systems 281 (2015) 292–299.
LibreCat
 
[277]
2015 | Journal Article | LibreCat-ID: 16058
On the Bayes-optimality of F-measure maximizers
W. Waegeman, K. Dembczynski, A. Jachnik, W. Cheng, E. Hüllermeier, Journal of Machine Learning Research 15 (2015) 3313–3368.
LibreCat
 
[276]
2015 | Journal Article | LibreCat-ID: 10323
Overlap Indices: Construction of and Application of Interpolative Fuzzy Systems
S. Garcia-Jimenez, U. Bustince, E. Hüllermeier, R. Mesiar, N.R. Pal, A. Pradera, IEEE Transactions on Fuzzy Systems 23 (2015) 1259–1273.
LibreCat
 
[275]
2015 | Conference Paper | LibreCat-ID: 10234
Case-Based Reasoning Research and Development
E. Hüllermeier, M. Minor, in: In Proceedings 23rd International Conference on Case-Based Reasoning (ICCBR 2015) LNAI 9343, Springer, 2015.
LibreCat
 
[274]
2015 | Conference Paper | LibreCat-ID: 10239
Superset Learning Based on Generalized Loss Minimization
E. Hüllermeier, W. Cheng, in: In Proceedings European Conference on Machine Learning and Knowledge Discovery in Databases (ECML/PKDD), 2015, pp. 260–275.
LibreCat
 
[273]
2015 | Conference Paper | LibreCat-ID: 10241
Online Rank Elicitation for Plackett-Luce: A Dueling Bandits Approach
B. Szörényi, R. Busa-Fekete, A. Paul, E. Hüllermeier, in: In Advances in Neural Information Processing Systems 28 (NIPS 2015), 2015, pp. 604–612.
LibreCat
 
[272]
2015 | Conference Paper | LibreCat-ID: 10246
Depth estimation in monocular images: Quantitative versus qualitative approaches
R. Ewerth, A. Balz, J. Gehlhaar, K. Dembczynski, E. Hüllermeier, in: Proceedings 25. Workshop Computational Intelligence, 2015, pp. 235–240.
LibreCat
 
[271]
2014 | Journal Article | LibreCat-ID: 10297
Ausgewählte Beiträge des GMA-Fachausschusses 5.14
F. Hoffmann, E. Hüllermeier, A. Kroll, Computational Intelligence Automatisierungstechnik 62 (2014) 685–686.
LibreCat
 
[270]
2014 | Journal Article | LibreCat-ID: 10312
Protein Sub-Cellular Localization Prediction for Special compartments via Optimized Time Series Distances
M. Mernberger, M. Moog, S. Stork, S. Zauner, U.G. Maier, E. Hüllermeier, J. Bioinformatics and Computational Biology 12 (2014).
LibreCat
 
[269]
2014 | Journal Article | LibreCat-ID: 10317
Extended Graph-Based Models for Enhanced Similarity Search in Cavbase
T. Krotzky, T. Fober, E. Hüllermeier, G. Klebe, IEEE/ACM Trans. Comput. Biology Bioinform. 11 (2014) 878–890.
LibreCat
 
[268]
2014 | Conference Paper | LibreCat-ID: 10247
PAC Rank Elicitation through Adaptive Sampling of Stochastic Pairwise Preferences
R. Busa-Fekete, B. Szörényi, E. Hüllermeier, in: Proceedings AAAI 2014, Quebec, Canada, 2014, pp. 1701–1707.
LibreCat
 
[267]
2014 | Conference Paper | LibreCat-ID: 10254
Machine Learning and Knowledge Discovery in Databases-European Conf. ECML/PKDD, Nancy, France
T. Calders, F. Esposito, E. Hüllermeier, R. Meo, in: Proceedings, Parts I-III. Lecture Notes in Computer Science, Springer, 2014, pp. 8724–8726.
LibreCat
 
[266]
2014 | Journal Article | LibreCat-ID: 16079
Correlation-based embedding of pairwise score data
M. Strickert, K. Bunte, F.M. Schleif, E. Hüllermeier, Neurocomputing 141 (2014) 97–109.
LibreCat
 
[265]
2014 | Conference Paper | LibreCat-ID: 10248
A Survey of Preference-Based Online Learning with Bandit Algorithms
R. Busa-Fekete, E. Hüllermeier, in: Proceedings Int. Conf. on Algorithmic Learning Theory (ALT), Bled, Slovenia, 2014, pp. 18–39.
LibreCat
 
[264]
2014 | Conference Paper | LibreCat-ID: 10250
The Choquet kernel for monotone data
A. Fallah Tehrani, M. Strickert, E. Hüllermeier, in: Proceedings ESANN , Bruges, Belgium, 2014.
LibreCat
 
[263]
2014 | Journal Article | LibreCat-ID: 10298
Guest editors`introduction:special issue of the ECML/PKDD 2014 journal track
T. Calders, F. Esposito, E. Hüllermeier, R. Meo, Data Min. Knowledge Discovery 28 (2014) 1129–1133.
LibreCat
 
[262]
2014 | Journal Article | LibreCat-ID: 10313
Guest editors`introduction:special issue of the ECML/PKDD 2014 journal track
T. Calders, F. Esposito, E. Hüllermeier, R. Meo, Machine Learning 97 (2014) 1–3.
LibreCat
 
[261]
2014 | Journal Article | LibreCat-ID: 10318
Identification of Functionally Releated Enzymes by Learning to Rank Methods
M. Stock, T. Fober, E. Hüllermeier, S. Glinca, G. Klebe, T. Pahikkala, A. Airola, B. De Baets, W. Wageman, IEEE/ACM Trans. Comput. Biology Bioinform. 11 (2014) 1157–1169.
LibreCat
 
[260]
2014 | Journal Article | LibreCat-ID: 16082
Reliable classification: Learning classifiers that distinguish aleatoric and epistemic uncertainty
R. Senge, S. Bösner, K. Dembczynski, J. Haasenritter, O. Hirsch, N. Donner-Banzhoff, E. Hüllermeier, Information Sciences 255 (2014) 16–29.
LibreCat
 
[259]
2014 | Conference Paper | LibreCat-ID: 10249
Mining Rank Data
S. Henzgen, E. Hüllermeier, in: Proceedings Discovery Science, Bled,Slovenia , 2014, pp. 123–134.
LibreCat
 
[258]
2014 | Conference Paper | LibreCat-ID: 10251
Learning Solution Similarity in Preference-Based CBR
A. Abdel-Aziz, M. Strickert, E. Hüllermeier, in: Proceedings Int. Conf. Case-Based Reasoning (ICCBR), Cork, Ireland, 2014, pp. 17–31.
LibreCat
 
[257]
2014 | Journal Article | LibreCat-ID: 10299
Visualization of evolving fuzzy rule-based systems
S. Henzgen, M. Strickert, E. Hüllermeier, Evolving Systems 5 (2014) 175–191.
LibreCat
 
[256]
2014 | Journal Article | LibreCat-ID: 10314
Preference-Based Reinforcement Learning: evolutionary direct policy search using a preference-based racing algorithm
R. Busa-Fekete, B. Szörényi, P. Weng, W. Cheng, E. Hüllermeier, Machine Learning 97 (2014) 327–351.
LibreCat
 
[255]
2014 | Journal Article | LibreCat-ID: 16064
Learning from imprecise and fuzzy observations: Data disambiguation through generalized loss minimization
E. Hüllermeier, International Journal of Approximate Reasoning 55 (2014) 1519–1534.
LibreCat
 
[254]
2014 | Journal Article | LibreCat-ID: 16069
Visualization of evolving fuzzy-rule-based systems
S. Henzgen, M. Strickert, E. Hüllermeier, Evolving Systems 5 (2014) 175–191.
LibreCat
 
[253]
2014 | Journal Article | LibreCat-ID: 16083
The comprehensive diagnostic study is suggested as a design to model the diagnostic process
N. Donner-Banzhoff, J. Haasenritter, E. Hüllermeier, A. Viniol, S. Bösner, A. Becker, Journal of Clinical Epidemiology 2 (2014) 124–132.
LibreCat
 
[252]
2014 | Conference Paper | LibreCat-ID: 10295
Preference Learning (Dagstuhl Seminar 14101) Dagstuhl Reports
J. Fürnkranz, E. Hüllermeier, C. Rudin, R. Slowinski, S. Sanner, in: 2014, pp. 1–27.
LibreCat
 
[251]
2014 | Journal Article | LibreCat-ID: 10308 LibreCat
 
[250]
2014 | Journal Article | LibreCat-ID: 10310
Correlation-based embedding of pairwise score data
M. Strickert, K. Bunte, F.-M. Schleif, E. Hüllermeier, Neurocomputing 141 (2014) 97–109.
LibreCat
 
[249]
2014 | Journal Article | LibreCat-ID: 10315
Dependent binary relevance models for multi-label classification
E. Montanés, R. Senge, J. Barranquero, J.R. Quevedo, J.J. Del Coz, E. Hüllermeier, Pattern Recognition 47 (2014) 1494–1508.
LibreCat
 
[248]
2014 | Journal Article | LibreCat-ID: 16046
Preference-based learning of ideal solutions in TOPSIS-like decision models
M. Agarwal, A. Fallah Tehrani, E. Hüllermeier, Journal of Multi-Criteria Decision Analysis 22 (2014).
LibreCat
 
[247]
2014 | Journal Article | LibreCat-ID: 16060
Extended graph-based models for enhanced similarity search in Cabase
T. Krotzky, T. Fober, E. Hüllermeier, G. Klebe, IEEE/ACM Transactions of Computational Biology and Bioinformatics 11 (2014) 878–890.
LibreCat
 
[246]
2014 | Journal Article | LibreCat-ID: 16077
Preference-based reinforcement learning: evolutionary direct policy search using a preference-based racing algorithm.
R. Busa-Fekete, B. Szörenyi, P. Weng, W. Cheng, E. Hüllermeier, Machine Learning 97 (2014) 327–351.
LibreCat
 
[245]
2014 | Journal Article | LibreCat-ID: 10296
Survival analysis on data streams: Analyzing temporal events in dynamically changing environments
A. Shaker, E. Hüllermeier, Applied Mathematics and Computer Science 24 (2014) 199–212.
LibreCat
 
[244]
2014 | Journal Article | LibreCat-ID: 10309 LibreCat
 
[243]
2014 | Journal Article | LibreCat-ID: 10311
Reliable classification: Learning classifiers that distinguish aleatoric and epistemic uncertainty
R. Senge, S. Bösner, K. Dembczynski, J. Haasenritter, O. Hirsch, N. Donner-Banzhoff, E. Hüllermeier, Information Sciences 255 (2014) 16–29.
LibreCat
 
[242]
2014 | Journal Article | LibreCat-ID: 10316
Open challenges for data stream mining research
G. Krempl, I. Zliobaite, D. Brzezinski, E. Hüllermeier, M. Last, V. Lemaire, T. Noack, A. Shaker, S. Sievi, M. Spiliopoulou, J. Stefanowski, SIGKDD Explorations 16 (2014) 1–10.
LibreCat
 
[241]
2014 | Conference Paper | LibreCat-ID: 10253
Dyad Ranking Using A Bilinear Plackett-Luce Model
D. Schäfer, E. Hüllermeier, in: Proceedings Lernen-Wissensentdeckung-Adaptivität (LWA), Aachen, Germany, 2014, pp. 32–33.
LibreCat
 
[240]
2014 | Journal Article | LibreCat-ID: 16078
Open challenges for data stream mining research
G. Krempl, I. Zliobaite, D. Brzezinski, E. Hüllermeier, M. Last, V. Lemaire, T. Noack, A. Shaker, S. Sievi, M. Spiliopoulou, J. Stefanowski, SIGKDD Explorations 16 (2014) 1–10.
LibreCat
 
[239]
2014 | Journal Article | LibreCat-ID: 16080
Survival analysis on data streams: Analyzing temporal events in dynamically changing environments
A. Shaker, E. Hüllermeier, International Journal of Applied Mathematics and Computer Science 24 (2014) 199–212.
LibreCat
 
[238]
2013 | Conference Paper | LibreCat-ID: 13190
Recovery analysis for adaptive learning from non-stationary data streams
A. Shaker, E. Hüllermeier, in: R. Burduk, K. Jackowski, M. Kurzynski, W. Wozniak, A. Zolnierek (Eds.), In Proceedings CORES 2013, 8th International Conference on Computer Recognition Systems, Wroclaw, Poland, Springer, 2013, pp. 289–298.
LibreCat
 
[237]
2013 | Conference Paper | LibreCat-ID: 13119
Rule chains for visualizing evolving fuzzy rule-based systems
S. Henzgen, M. Strickert, E. Hüllermeier, in: R. Burduk, K. Jackowski, M. Kurzynski, M. Wozniak, A. Zolnierek (Eds.), In Proceedings CORES 2013, 8th International Conference on Computer Recognition Systems, Wroclaw, Poland, Springer, 2013, pp. 279–288.
LibreCat
 
[236]
2013 | Journal Article | LibreCat-ID: 16081
Chest pain in primary care: is the localization of pain diagnostically helpful in the critical evaluation of patients? A cross sectional study.
S. Bösner, K. Bönisch, J. Haasenritter , P. Schlegel, E. Hüllermeier, N. Donner-Banzhoff, BMC Family Practice 14 (2013) 154–162.
LibreCat
 
[235]
2013 | Journal Article | LibreCat-ID: 16086
Diagnose im Kontext - eine erweiterte Perspektive
J. Haasenritter, A. Viniol, A. Becker, S. Bösner, E. Hüllermeier, R. Senge, N. Donner-Banzhoff, Zeitschrift Für Evidenz, Fortbildung Und Qualität Im Gesundheitswesen (ZEFQ) 107 (2013) 585–591.
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[234]
2013 | Conference Paper | LibreCat-ID: 15759
A nearest neigbor approach to label ranking based on generalized labelwise loss minimization
W. Cheng, E. Hüllermeier, in: In Proceedings M-PREF`13, 7th Multidisciplinary Workshop on Advances in Preference Handling Beijing, China, 2013.
LibreCat
 
[233]
2013 | Conference Paper | LibreCat-ID: 15761
On the problem of error propagation in classier chains for multi-label classification. Data Analysis, Machine Learning and Knowledge Discovery
R. Senge, J.J. del Coz, E. Hüllermeier, in: L. Schmidt-Thieme, M. Spiliopoulou (Eds.), In Proceedings of GFKL-2012, 36th Annual Conference of the German Classification Society, Studies in Classification, Data Analysis and Knowledge Organization, Hildesheim, Germany , Springer, 2013.
LibreCat
 
[232]
2013 | Conference Paper | LibreCat-ID: 13115
Learning to rank lexical substitutions
G. Szarvas, R. Busa-Fekete, E. Hüllermeier, in: In Proceedings EMNLP-2013 Conference on Empirical Methods in Natural Language Processing, Seattle, USA, 2013.
LibreCat
 
[231]
2013 | Conference Paper | LibreCat-ID: 15755
Preference-based evolutionary optimization using generalized racing algorithms
R. Busa-Fekete, T. Fober, E. Hüllermeier, in: F. Hoffmann, E. Hüllermeier (Eds.), In Proceedings 23th Workshop Computational Intelligence, Dortmund Germany, KIT Scientific Publishing, 2013, pp. 237–246.
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[230]
2013 | Journal Article | LibreCat-ID: 16044
Multilabel classification for exploiting cross-resistance information in HIV-1 drug resistence prediction
D. Heider, R. Senge, W. Cheng, E. Hüllermeier, Bioinformatics 29 (2013) 1946–1952.
LibreCat
 
[229]
2013 | Conference Paper | LibreCat-ID: 13116
Optimizing the F-measure in multi-label classification: Plug-in rule approach versus structured loss minimization
K. Dembczynski, A. Jachnik, W. Kotlowski, W. Waegeman, E. Hüllermeier, in: S. Dasgupta, D. McAllester (Eds.), In Proceedings ICML-2013, 30th International Conference on Machine Learning, Atlanta, USA, 2013, pp. 1130–1138.
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[228]
2013 | Conference Paper | LibreCat-ID: 15756
Weighted rank correlation measures based on fuzzy order relations
S. Henzgen, E. Hüllermeier, in: F. Hoffmann, E. Hüllermeier (Eds.), In Proceedings 23th Workshop Computational Intelligence, Dortmund Germany, KIT Scientific Publishing, 2013, pp. 227–236.
LibreCat
 
[227]
2013 | Conference Paper | LibreCat-ID: 15763
Local clique merging: An extension of the maximum common subgraph measure with applications in structural bioinformatics, Algorithms from and for Nature and Life
T. Fober, G. Klebe, E. Hüllermeier, in: B. Lausen, D. Van den Poel, A. Ultsch (Eds.), In Proceedings GFKL-2011, Conference of the German Classification Society, Frankfurt Germany, Springer, 2013, pp. 279–286.
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[226]
2013 | Conference Paper | LibreCat-ID: 15112
Ordinal Choquistic regression
A. Fallah Tehrani, E. Hüllermeier, in: J. Montero, G. Pasi, D. Ciucci (Eds.), In Proceedings EUSFLAT-2013 8th International Conference on the European Society for Fuzzy Logic and Technology, Milano, Italy, Atlantis Press, 2013.
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[225]
2013 | Conference Paper | LibreCat-ID: 13117
Top-k selection based on adaptive sampling of noisy preferences
R. Busa-Fekete, B. Szoreny, P. Weng, W. Cheng, E. Hüllermeier, in: S. Dasgupta, D. McAllester (Eds.), In Proceedings ICML-2013, 30th International Conference on Machine Learning, Atlanta, USA, 2013, pp. 1094–1102.
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[224]
2013 | Conference Paper | LibreCat-ID: 15113
Fuzzy Pattern Trees as an alternative to rule-based fuzzy systems: Knowledge-driven, data-driven and hybrid modeling of colour yield in poyester dyeing, Edmonton, Canada
N. Nasiri, T. Fober, R. Senge, E. Hüllermeier, in: In Proceedings IFSA-2013 World Congress of the International Fuzzy Systems Association, Edmonton, Canada, 2013, pp. 715–721.
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[223]
2013 | Conference Paper | LibreCat-ID: 15752
Labelwise versus pairwise decomposition in label ranking
W. Cheng, S. Henzgen, E. Hüllermeier, in: In Proceedings Workshop LWA-2009, Lernen-Wissensentdeckung-Adaptivität, Bamberg, Germany, 2013, pp. 129–136.
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[222]
2013 | Conference Paper | LibreCat-ID: 15757
Interactive Q-learning with ordinal rewards and unreliable tutor
P. Weng, R. Busa-Fekete, E. Hüllermeier, in: In Proceedings ECML/PKDD-Workshop on Reinforcement Learning from Generalized Feedback:Beyond Numerical Rewards, Prague, 2013.
LibreCat
 
[221]
2013 | Journal Article | LibreCat-ID: 16123
Evolving fuzzy pattern trees for binary classification on data streams
A. Shaker, R. Senge, E. Hüllermeier, Information Sciences 220 (2013) 34–45.
LibreCat
 
[220]
2013 | Conference Paper | LibreCat-ID: 13118
Preference-based CBR: General ideas and basic principles
E. Hüllermeier, W. Cheng, in: F. Rossi (Ed.), In Proceedings IJCAI-13, 23rd International Joint Conference on Artificial Intelligence, Beijing, China, AAAI Press, 2013, pp. 3012–3016.
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[219]
2013 | Conference Paper | LibreCat-ID: 15753
Rectifying classifier chains for multi-label classification, Bamberg, Germany
R. Senge, J. del Coz, E. Hüllermeier, in: In Proceedings Workshop LWA-2009, Lernen-Wissensentdeckung-Adaptivität, Bamberg, Germany, 2013, pp. 151–158.
LibreCat
 
[218]
2013 | Conference Paper | LibreCat-ID: 15758
Preference-based evolutionary direct policy search
R. Busa-Fekete, B. Szörenyi, P. Weng, E. Hüllermeier, in: In Proceedings ECML/PKDD-Workshop on Reinforcement Learning from Generalized Feedback:Beyond Numerical Rewards, Prague, 2013.
LibreCat
 
[217]
2013 | Conference Paper | LibreCat-ID: 15760
Event history analysis on data streams: An application to earthquake occurence
A. Shaker, E. Hüllermeier, in: G. Krempl, I. Zliobaite, Y. Wang, G. Forman (Eds.), In Proceedings RealStream 2013, 1st International Workshop on Real-World Challenges for Data Stream Mining, Prague, Czech Republic, 2013, pp. 38–41.
LibreCat
 
[216]
2012 | Book Chapter | LibreCat-ID: 10153
Fuzzy rules in data mining: From fuzzy associations to gradual dependencies
E. Hüllermeier, in: E. Trillas, P.P. Bonissone, L. Magdalena, J. Kacprzyk (Eds.), Combining Experimentation and Theory, Springer, 2012, pp. 123–135.
LibreCat
 
[215]
2012 | Journal Article | LibreCat-ID: 16093
Comparing fuzzy partitions: A generalization of the Rand index and related measures
E. Hüllermeier, M. Rifqi, S. Henzgen, R. Senge, IEEE Transactions on Fuzzy Systems 20 (2012) 546–556.
LibreCat
 
[214]
2012 | Conference Paper | LibreCat-ID: 15754
Learning conditional lexicographic preference trees
M. Bräuning, E. Hüllermeier, in: In Workshops on Preference Learning at ECAI, European Conference on Artiticial Intelligence, Montpellier, France, 2012.
LibreCat
 
[213]
2012 | Conference Paper | LibreCat-ID: 13191
Probability estimation for mulit-class classification based on label ranking
W. Cheng, E. Hüllermeier, in: Proceedings ECML/PKDD-2012, European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, Bristol, UK, 2012.
LibreCat
 
[212]
2012 | Journal Article | LibreCat-ID: 16087
Preference-based reinforcement learning: A formal framework and a policy iteration algorithm
J. Fürnkranz, E. Hüllermeier, W. Cheng, S.H. Park, Machine Learning 89 (2012) 123–156.
LibreCat
 
[211]
2012 | Journal Article | LibreCat-ID: 16094
Fuzzy Pattern Trees: Ein alternativer Ansatz zur Fuzzy-Modellierung
R. Senge, T. Fober, N. Nasiri, E. Hüllermeier, At-Atomatisierungstechnik 60 (2012) 622–629.
LibreCat
 
[210]
2012 | Conference Paper | LibreCat-ID: 13192
Consistent multilabel ranking through univariate loss minimization
K. Dembczynski, W. Kotlowski, E. Hüllermeier, in: J. Langford, J. Pineau (Eds.), In Proceedings ICML-2012,  International Conference on Machine Learning, Edinburgh, Scotland, 2012.
LibreCat
 
[209]
2012 | Conference Paper | LibreCat-ID: 15299
GPU-based cloud computing for comparing the structure of protein binding sites
M. Leinweber, L. Baumgärtner, M. Mernberger, T. Fober, E. Hüllermeier, G. Klebe, B. Freisleben, in: In Proceedings IEEE Conference on Digital Ecosystem Technologies-Complex Environment Engineering Campione D`Italia, Italy, 2012.
LibreCat
 
[208]
2012 | Journal Article | LibreCat-ID: 16088
On label dependence and loss minimization in multi-label classification
K. Dembczynski, W. Waegeman, W. Cheng, E. Hüllermeier, Machine Learning 88 (2012) 5–45.
LibreCat
 
[207]
2012 | Journal Article | LibreCat-ID: 16090
A formal and empirical analysis of the fuzzy gamma rank correlation coefficient
M. Dolorez Ruiz, E. Hüllermeier, Information Sciences 206 (2012) 1–17.
LibreCat
 
[206]
2012 | Conference Paper | LibreCat-ID: 13193
An analysis of chaining in multi-label classification
K. Dembczynski, W. Waegeman, E. Hüllermeier, in: In Proceedings ECAI-2012, 20th European Conference on Artificial Inteligence, Montpellier, France , IOS Press, 2012, pp. 294–299.
LibreCat
 
[205]
2012 | Book Chapter | LibreCat-ID: 15396
Efficient learning of classifiers based on the 2-additive Choquet integral
E. Hüllermeier, A. Fallah Tehrani, in: C. Moewes, A. Nürnberger (Eds.), Computational Intelligence in Intelligent Data Analysis, Springer, 2012, pp. 17–30.
LibreCat
 
[204]
2012 | Journal Article | LibreCat-ID: 16084
Learning monotone nonlinear models using the Choquet integral
A. Fallah Tehrani, W. Cheng, K. Dembczynski, E. Hüllermeier, Machine Learning 89 (2012) 183–211.
LibreCat
 
[203]
2012 | Journal Article | LibreCat-ID: 16089
IBL Streams: A system for instance-based classification and regression on data streams
A. Shaker, E. Hüllermeier, Evolving Systems 3 (2012) 235–249.
LibreCat
 
[202]
2012 | Journal Article | LibreCat-ID: 16091
Preference learning using the Choquet integral: The case of multipartite ranking
A. Fallah Tehrani, W. Cheng, E. Hüllermeier, IEEE Transactions on Fuzzy Systems 20 (2012) 1102–1113.
LibreCat
 
[201]
2012 | Conference Paper | LibreCat-ID: 13120
Label ranking with partial abstention based on thresholded probalistic models
W. Cheng, E. Hüllermeier, W. Waegeman, V. Welker, in: In Proceedings NIPS-2012, 26th Annual Conference on Neural Information Processing Systems, Lake Tahoe, Nevada, USA, 2012.
LibreCat
 
[200]
2012 | Conference Paper | LibreCat-ID: 15114
On the VC dimension of the Choquet integral
E. Hüllermeier, A. Fallah Tehrani, in: In Proceedings IPMU-2012 14th International Conference on Information Processing and Management  of Uncertainty in Knowledge-Based Systems, Part 1, Catania, Italy, 2012.
LibreCat
 
[199]
2012 | Journal Article | LibreCat-ID: 16085
Grouping, overlap and generalized bientropic functions for fuzzy modeling of pairwise comparisons
H. Bustince, M. Pagola, R. Mesiar, E. Hüllermeier, F. Herrera, IEEE Transactions on Fuzzy Systems 20 (2012) 405–415.
LibreCat
 
[198]
2012 | Journal Article | LibreCat-ID: 16092
Fingerprint kernels for protein structure comparison
T. Fober, M. Mernberger, G. Klebe, E. Hüllermeier, Molecular Informatics 31 (2012) 443–452.
LibreCat
 
[197]
2011 | Conference Paper | LibreCat-ID: 13195
Preference-based policy iteration: Leveraging preference learning for reinforcement learning
W. Cheng, J. Fuernkranz, E. Hüllermeier, S.H. Park, in: Proceedings ECML/PKDD-2011, European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, Athens, Greece, , 2011.
LibreCat
 
[196]
2011 | Conference Paper | LibreCat-ID: 15115
Comparing methods for knowledge-driven and data-driven fuzzy modeling: A case study in textile industry
M. Nasiri, E. Hüllermeier, R. Senge, E. Lughofer, in: In Proceedings IFSA-2011 World Congress of the International Fuzzy Systems Association, Surabaya and Bali Island, Indonesia, 2011, p. RW-103-1-6.
LibreCat
 
[195]
2011 | Journal Article | LibreCat-ID: 16149
Superposition and alignment of labeled point clouds
T. Fober, S. Glinca, G. Klebe, E. Hüllermeier, IEEE/ACM Transactions on Computational Biology and Bioinformatics 8 (2011) 1653–1666.
LibreCat
 
[194]
2011 | Conference Paper | LibreCat-ID: 13196
Learning from label preferences
J. Fürnkranz, E. Hüllermeier, in: T. Elomaa, J. Hollmen, H. Mannila (Eds.), In Proceedings DS-2011, 14th International  Conference on Discovery Science, Number 6926 in LNAI, Springer, 2011, pp. 2–17.
LibreCat
 
[193]
2011 | Conference Paper | LibreCat-ID: 13588
Bipartite ranking through minimization of univariate loss
W. Kotlowski, K. Dembczynski, E. Hüllermeier, in: In Proceedings ICML-2011, 28th International Conference on Machine Learning, Washington, USA, 2011.
LibreCat
 
[192]
2011 | Conference Paper | LibreCat-ID: 15116
On-line redundancy deletion in evolving fuzzy regression models using a fuzzy inclusion measure
E. Lughofer, E. Hüllermeier, in: S. Galichet, J. Montero, G. Mauris (Eds.), In Proceedings EUSFLAT-2011 7th International Conference on the European Society for Fuzzy Logic and Technology, Aix-Les-Bains, France, 2011, pp. 380–387.
LibreCat
 
[191]
2011 | Journal Article | LibreCat-ID: 16119
Multivariate modeling to identify patterns in clinical data: The example of chest pain
O. Hirsch, S. Bösner, E. Hüllermeier, R. Senge, K. Dembczynski, N. Donner-Banzhoff, BMC Medical Research Methodology 11 (2011).
LibreCat
 
[190]
2011 | Journal Article | LibreCat-ID: 16126
Preferences in AL: An overview
C. Domshlak, E. Hüllermeier, S. Kaci, H. Prade, Artificial Intelligence 175 (2011) 1037–1052.
LibreCat
 
[189]
2011 | Conference Paper | LibreCat-ID: 15762
Joint mode estimation in multi-label classification by chaining
K. Dembczynski, W. Waegeman, E. Hüllermeier, in: In Proceedings ECML Workshop on Collective Inference and Learning on Structured Data, Athens, Greece, 2011.
LibreCat
 
[188]
2011 | Conference Paper | LibreCat-ID: 13197
Learning monotone nonlinear models using the Choquet integral
A. Fallah Tehrani, W. Cheng, K. Dembczynski, E. Hüllermeier, in: In Proceedings ECML/PKDD-2011, European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, Athens, Greece, 2011.
LibreCat
 
[187]
2011 | Conference Paper | LibreCat-ID: 15117
Choquistic regression: Generalizing logistic regression using the Choquet integral
A. Fallah Tehrani, W. Cheng, E. Hüllermeier, in: In Proceedings EUSFLAT-2011 7th International Conference on the European Society for Fuzzy Logic and Technology, Aix-Les-Bains, France, 2011, pp. 868–875.
LibreCat
 
[186]
2011 | Journal Article | LibreCat-ID: 16153
Top-down induction of fuzzy pattern trees
R. Senge, E. Hüllermeier, IEEE Transactions on Fuzzy Systems 19 (2011) 241–252.
LibreCat
 
[185]
2011 | Conference Paper | LibreCat-ID: 13198
Preference-based CBR: First steps toward a methodological framework
E. Hüllermeier, P. Schlegel, in: A. Ram, N. Wiratunga (Eds.), In Proceedings ICCBR-2011, 19th International Conference on Case-Based Reasoning, Number 6880 in LNAI, Springer, 2011, pp. 77–91.
LibreCat
 
[184]
2011 | Conference Paper | LibreCat-ID: 15764
Prediction of protein localization for specialized compartments using time series kernels
M. Mernberger, D. Moog, S. Stork, S. Zauner, U. Maier, E. Hüllermeier, in: In Proceedings GCB-2011 German Conference on Bioinformatics Munich, Germany, 2011.
LibreCat
 
[183]
2011 | Journal Article | LibreCat-ID: 16147
Fuzzy machine learning and data mining
E. Hüllermeier, WIREs Data Mining and Knowledge Discovery 1 (2011) 269–283.
LibreCat
 
[182]
2011 | Conference Paper | LibreCat-ID: 13194
An exact algorithm for F-measure maximization
K. Dembczynski, W. Waegeman, W. Cheng, E. Hüllermeier, in: In Proceedings NIPS-2011, 25th Annual Conference on Neural Information Processing Systems, Granada, Spain, 2011.
LibreCat
 
[181]
2011 | Journal Article | LibreCat-ID: 16148
SEGA: Semi-global graph alignment for structure-based protein comparison
M. Mernberger, G. Klebe, E. Hüllermeier, IEEE/ACM Transactions of Computational Biology and Bioinformatics 8 (2011) 1330–1343.
LibreCat
 
[180]
2011 | Journal Article | LibreCat-ID: 16150
Fuzzy sets in machine learning and data mining
E. Hüllermeier, Applied Soft Computing Journal (2011) 1493–1505.
LibreCat
 
[179]
2010 | Conference Paper | LibreCat-ID: 13594
Predicting partial orders: Ranking with abstention
W. Cheng, M. Rademaker, B. De Beats, E. Hüllermeier, in: In Proceedings ECML/PKDD-2010, European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, ,Bareclona, Spain, 2010.
LibreCat
 
[178]
2010 | Book Chapter | LibreCat-ID: 15297
An Analysis of the FURIA algorithm for fuzzy rule induction
E. Hüllermeier, J. Hühn, in: J. Koronacki, Z.W. Ras, S.T. Wierzchon, J. Kacprzyk (Eds.), Advances in Machine Learning I: Dedicated to the Memory of Professor Ryszard S.Michalski, Springer, 2010, pp. 321–344.
LibreCat
 
[177]
2010 | Journal Article | LibreCat-ID: 16151 LibreCat
 
[176]
2010 | Conference Paper | LibreCat-ID: 13590
Label ranking based on the Plackett-Luce model
W. Cheng, K. Dembczynski, E. Hüllermeier, in: J. Fürnkranz, T. Joachims (Eds.), In Proceedings ICML-2010, 27th International Conference on Machine Learning, Haifa, Israel, 2010, pp. 215–222.
LibreCat
 
[175]
2010 | Book Chapter | LibreCat-ID: 15298
Preference Learning: An Introduction
J. Fürnkranz, E. Hüllermeier, in: J. Fürnkranz, E. Hüllermeier (Eds.), Preference Learning, Springer, 2010, pp. 1–18.
LibreCat
 
[174]
2010 | Journal Article | LibreCat-ID: 16121
GARLig: A fully automated tool for subset selection of large fragment spaces via a self-adaptive genetic algorithm
P. Pfeffer, T. Fober, E. Hüllermeier, G. Klebe, Journal of Chemical Information and Modeling 50 (2010) 1644–1659.
LibreCat
 
[173]
2010 | Journal Article | LibreCat-ID: 16152
On predictive accuracy and risk minimization in pairwise label ranking
E. Hüllermeier, J. Fürnkranz, Journal of Computer and System Sciences 76 (2010) 49–62.
LibreCat
 
[172]
2010 | Conference Paper | LibreCat-ID: 13589
Bayes optimal multilabel classification via probalistic classifier chains
K. Dembczynski, W. Cheng, E. Hüllermeier, in: J. Fürnkranz, T. Joachims (Eds.), In Proceedings ICML-2010, 27th International Conference on Machine Learning, Haifa, Israel, 2010, pp. 279–286.
LibreCat
 
[171]
2010 | Conference Paper | LibreCat-ID: 13591
Graded multi-label classification: The ordinal case
W. Cheng, K. Dembczynski, E. Hüllermeier, in: J. Fürnkranz, T. Joachims (Eds.), In Proceedings ICML-2010, 27th International Conference on Machine Learning, Haifa, Israel, 2010.
LibreCat
 
[170]
2010 | Conference Paper | LibreCat-ID: 13597
Uncertainty in clustering and classification
E. Hüllermeier, in: In Proceedings SUM 2010, International Conference on Scalable Uncertainty Management , Springer, 2010, pp. 16–19.
LibreCat
 
[169]
2010 | Conference Paper | LibreCat-ID: 15118
Similarity measures for protein structures based on fuzzy histogram comparison
T. Fober, E. Hüllermeier, in: In Proceedings WCCI-2010, World Congress on Computational Intelligence, Barcelona, Spain, 2010.
LibreCat
 
[168]
2010 | Conference Paper | LibreCat-ID: 13593
Regret analysis for performance metrics in multi-label classification: The case of Hamming and subset zero-one loss
K. Dembczynski, W. Waegeman, W. Cheng, E. Hüllermeier, in: In Proceedings ECML/PKDD-2010, European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, ,Bareclona, Spain, 2010.
LibreCat
 
[167]
2010 | Conference Paper | LibreCat-ID: 15119
Pattern trees for regression and fuzzy systems modeling
R. Senge, E. Hüllermeier, in: In Proceedings WCCI-2010, World Congress on Computational Intelligence, Barcelona, Spain, 2010.
LibreCat
 
[166]
2010 | Conference Paper | LibreCat-ID: 15765
Efficient similarity retrieval for protein binding sites based on histogram comparison
T. Fober, M. Mernberger, G. Klebe, E. Hüllermeier, in: In Proceedings GCB-2010 German Conference on Bioinformatics Braunschweig, Germany, 2010, pp. 51–60.
LibreCat
 
[165]
2010 | Conference Paper | LibreCat-ID: 15772
On label dependence in multi-label classification
K. Dembczynski, W. Waegeman, W. Cheng, E. Hüllermeier, in: In Proceedings MLD-2010, 2nd International Workshop on Learning from Multi-Label Data, Haifa, Israel, 2010.
LibreCat
 
[164]
2009 | Conference Paper | LibreCat-ID: 15196
A fuzzy variant of the Rand index for comparing clustering structures
E. Hüllermeier, M. Rifqi, in: In Proceedings IFSA / EUSFLAT-2009 World Congress of  the Fuzzy Systems Association, Lissabon, Portugal, 2009, pp. 1294–1298.
LibreCat
 
[163]
2009 | Journal Article | LibreCat-ID: 16163
FR3: A fuzzy rule learner for inducing reliable classifiers
J. Hühn, E. Hüllermeier, IEEE Transactions on Fuzzy Systems 17 (2009) 138–149.
LibreCat
 
[162]
2009 | Conference Paper | LibreCat-ID: 15773
A simple instance-based approach to multilabel classification using the Mallows model
W. Cheng, E. Hüllermeier, in: In Proceedings MLD-2009 1st  International Workshop on Learning from Multi-Label Data, Bled, Slovenia, 2009, pp. 28–38.
LibreCat
 
[161]
2009 | Conference Paper | LibreCat-ID: 15778
Extension and empirical comparison of graph-kernels for the analysis of protein active sites
T. Fober, M. Mernberger, V. Melnikov, R. Moritz, E. Hüllermeier, in: In Proceedings Workshop LWA-2009, Lernen-Wissensentdeckung-Adaptivität, Darmstadt, Germany, 2009, pp. 30–36.
LibreCat
 
[160]
2009 | Conference Paper | LibreCat-ID: 13595
Decision tree and instance-based learning for label ranking
W. Cheng, J. Hühn, E. Hüllermeier, in: In Proceedings ICML-2009, 26th International Conference on Machine Learning, Montreal, Canada, 2009, pp. 161–168.
LibreCat
 
[159]
2009 | Conference Paper | LibreCat-ID: 15774
Learning pattern tree classifiers using a co-evolutionary algorithm
R. Senge, E. Hüllermeier, in: F. Hoffmann, E. Hüllermeier (Eds.), In Proceedings 19th Workshop Computational Intelligence, Dortmund Germany, KIT Scientific Publishing, 2009, pp. 22–33.
LibreCat
 
[158]
2009 | Conference Paper | LibreCat-ID: 13596
Binary decomposition methods for multipartite ranking
J. Fürnkranz, E. Hüllermeier, S. Vanderlooy, in: In Proceedings ECML/PKDD-2009, European Conference on Machine Learning and Principles and Knowledge Discovery in Databases, Bled Sloveniaery in Databases, Bled, Slovenia, 2009.
LibreCat
 
[157]
2009 | Conference Paper | LibreCat-ID: 15775
Graph-kernels for the comparative analysis of protein active sites
T. Fober, M. Mernberger, R. Moritz, E. Hüllermeier, in: I. Grosse, S. Neumann, S. Posch, F. Schreiber, P.. Stadler (Eds.), In Proceedings GCB-2009 German Conference on Bioinformatics Halle (Saale), Germany, 2009, pp. 21–31.
LibreCat
 
[156]
2009 | Journal Article | LibreCat-ID: 16158
FURIA: An Algorithm for unordered fuzzy rule induction
J. Hühn, E. Hüllermeier, Data Mining and Knowledge Discovery 19 (2009) 293–319.
LibreCat
 
[155]
2009 | Journal Article | LibreCat-ID: 16160
Combining instance-based learning and logistic regression for multilabel classification
W. Cheng, E. Hüllermeier, Machine Learning 76 (2009) 211–225.
LibreCat
 
[154]
2009 | Journal Article | LibreCat-ID: 16165
Supporting case-based retrieval by similarity skylines: Basic concepts and extensions
E. Hüllermeier, I. Vladimirskiy, B. Prados Suarez, E. Stauch, Künstliche Intelligenz 1 (2009) 24–29.
LibreCat
 
[153]
2009 | Conference Paper | LibreCat-ID: 15194
Similarity analysis of protein binding sites: A generalization of the maximum common subgraph measure based on quasi-clique detection
I. Boukhris, Z. Elouedi, T. Fober, M. Mernberger, E. Hüllermeier, in: In Proceedings IDA-2009, 9th International Symposium on Intelligent Data Analysis, Pisa / Italy, 2009, pp. 1245–1250.
LibreCat
 
[152]
2009 | Conference Paper | LibreCat-ID: 15120
Efficient construction of multiple geometrical alignments for the comparison of protein binding sites
T. Fober, G. Klebe, E. Hüllermeier, in: In Proceedings ISDA-2009, 9th International Conference on Intelligent Systems Design and Applications, Pisa, Italy, 2009, pp. 1251–1256.
LibreCat
 
[151]
2009 | Conference Paper | LibreCat-ID: 15776
Learning pattern tree classifiers using a co-evolutionary algorithm
R. Senge, E. Hüllermeier, in: In Proceedings Workshop LWA-2009, Lernen-Wissensentdeckung-Adaptivität, Darmstadt, Germany, 2009, pp. 105–110.
LibreCat
 
[150]
2009 | Journal Article | LibreCat-ID: 16154
Merging chemical and biological space: Structural mapping of enzyme binding pocket space
N. Weskamp, E. Hüllermeier, G. Klebe, Proteins 76 (2009) 317–330.
LibreCat
 
[149]
2009 | Journal Article | LibreCat-ID: 16159
Why fuzzy decision trees are good rankers
E. Hüllermeier, S. Vanderlooy, IEEE Transactions on Fuzzy Systems 17 (2009) 1233–1244.
LibreCat
 
[148]
2009 | Journal Article | LibreCat-ID: 16161
Fuzzy operator trees for modeling rating functions
Y. Yi, T. Fober, E. Hüllermeier, International Journal of Computational Intelligence and Applications 8 (2009) 413–428.
LibreCat
 
[147]
2009 | Book Chapter | LibreCat-ID: 10188
On the usefulness of fuzzy sets in data mining
E. Hüllermeier, in: R. Seising (Ed.), Views on Fuzzy Sets and Systems from Different Perspectives: Philosophy and Logic, Criticisms and Applications, Springer, 2009, pp. 457–470.
LibreCat
 
[146]
2009 | Conference Paper | LibreCat-ID: 13598
A new instance-based label ranking approach using the Mallows model. In Advances in Neural Networks
W. Cheng, E. Hüllermeier, in: In Proceedings 6th International Symposium on Neural Networks, Wuhan, China, Springer, 2009, pp. 707–716.
LibreCat
 
[145]
2009 | Conference Paper | LibreCat-ID: 15195
Fuzzy modeling of labeled point cloud superposition for the comparison of protein binding sites
T. Fober, E. Hüllermeier, in: In Proceedings IFSA / EUSFLAT-2009 World Congress of  the Fuzzy Systems Association, Lissabon, Portugal, 2009, pp. 1299–1304.
LibreCat
 
[144]
2009 | Journal Article | LibreCat-ID: 16162
Evolutionary construction of multiple graph alignments for the structural analysis of biomolecules
T. Fober, M. Mernberger, G. Klebe, E. Hüllermeier, Bioinformatics 25 (2009) 2110–2117.
LibreCat
 
[143]
2008 | Conference Paper | LibreCat-ID: 13599
Supporting case-based retrieval by similarity skylines: Basic concepts and extensions
E. Hüllermeier, I. Vladimirskiy, B. Prados Suarez, E. Stauch, in: K.D. Althoff, R. Bergmann, M. Minor, A. Hanft (Eds.), In Proceedings ECCBR-2008 9th European Conference on Case-Based  Reasoning, Trier, Germany, 2008, pp. 240–254.
LibreCat
 
[142]
2008 | Journal Article | LibreCat-ID: 16168
Multilabel classification via calibrated label ranking
J. Fürnkranz, E. Hüllermeier, E. Mencia, K. Brinker, Machine Learning 73 (2008) 133–153.
LibreCat
 
[141]
2008 | Conference Paper | LibreCat-ID: 15780
Evolutionary construction of multiple graph alignments for mining structured biomolecular data
T. Fober, E. Hüllermeier, M. Mernberger, in: In Proceedings Workshop LWA-2008, Lernen-Wissensentdeckung-Adaptivität, Würzburg, Germany, 2008, pp. 27–33.
LibreCat
 
[140]
2008 | Book Chapter | LibreCat-ID: 10154
Fuzzy methods in data mining
E. Hüllermeier, in: Encyclopedia of Data Warehousing and Mining - Second Edition, Idea Group, Inc.,Hershey, USA, 2008, pp. 907–912.
LibreCat
 
[139]
2008 | Book Chapter | LibreCat-ID: 10185
Learning preference models from data: On the problem of label ranking and its variants
E. Hüllermeier, J. Fürnkranz, in: G. Della Riccia, D. Dubois, R. Kruse, H.J. Lenz (Eds.), Preferences and Similarities, Springer, 2008, pp. 283–304.
LibreCat
 
[138]
2008 | Conference Paper | LibreCat-ID: 15779
Weighted voting as approximate MAP prediction in pairwise classification
E. Hüllermeier, S. Vanderlooy, in: In Proceedings Workshop LWA-2008, Lernen-Wissensentdeckung-Adaptivität, Würzburg, Germany, 2008, pp. 34–41.
LibreCat
 
[137]
2008 | Conference Paper | LibreCat-ID: 15781
Evolutionary construction of multiple graph alignments for the structural analysis of biomolecules
T. Fober, E. Hüllermeier, M. Mernberger, in: A. Beyer, M. Schroeder (Eds.), IIn Proceedings GCB-2008, Germany Conference on Bioinformatics, Dresden 2008, 2008, pp. 44–53.
LibreCat
 
[136]
2008 | Journal Article | LibreCat-ID: 16164
Is an ordinal class structure useful in classifier learning?
J. Hühn, E. Hüllermeier, International Journal of Data Mining, Modeling and Management 1 (2008) 45–67.
LibreCat
 
[135]
2008 | Journal Article | LibreCat-ID: 16169
Learning valued preference structures for solving classification problems
E. Hüllermeier, K. Brinker, Fuzzy Sets and Systems 159 (2008) 2337–2352.
LibreCat
 
[134]
2008 | Journal Article | LibreCat-ID: 16184
Case-based learning in a bipolar possibilistic framework
J. Beringer, E. Hüllermeier, International Journal of Intelligent Systems 23 (2008) 1119–1134.
LibreCat
 
[133]
2008 | Conference Paper | LibreCat-ID: 13600
Learning similarity functions from qualitative feedback
W. Cheng, E. Hüllermeier, in: K.D. Althoff, R. Bergmann, M. Minor, A. Hanft (Eds.), In Proceedings ECCBR-2008 9th European Conference on Case-Based  Reasoning, Trier, Germany, Springer, 2008, pp. 120–134.
LibreCat
 
[132]
2008 | Journal Article | LibreCat-ID: 16166
Label ranking by learning pairwise preferences
E. Hüllermeier, J. Fürnkranz, W. Cheng, K. Brinker, Artificial Intelligence 172 (2008) 1897–1917.
LibreCat
 
[131]
2008 | Journal Article | LibreCat-ID: 16167
A critical analysis of variants of the AUC
S. Vanderlooy, E. Hüllermeier, Machine Learning 72 (2008) 247–272.
LibreCat
 
[130]
2008 | Book Chapter | LibreCat-ID: 16225
Granular computing in machine learning and data mining
E. Hüllermeier, in: W. Pedrycz, A. Skowron, V. Kreinovich (Eds.), Handbook on Granular Computing, John Wiley and Sons, 2008, pp. 889–906.
LibreCat
 
[129]
2007 | Conference Paper | LibreCat-ID: 14833
Label ranking in case-based reasoning
K. Brinker, E. Hüllermeier, in: M. Richter, R. Weber (Eds.), In Proceedings ICCBR-2007, 7th International Conference on Case-Based Reasoning, Belfast, Northern Ireland, Springer, 2007, pp. 77–91.
LibreCat
 
[128]
2007 | Journal Article | LibreCat-ID: 16170
In defense of fuzzy association analysis
E. Hüllermeier, Y. Yi, IEEE Transactions on Systems, Man and Cybernetics-Part B: Cybernetics 37 (2007) 1039–1043.
LibreCat
 
[127]
2007 | Journal Article | LibreCat-ID: 16175
Comparing probability measures using possibility theory: A notion of relative peakedness
D. Dubois, E. Hüllermeier, International Journal of Approximate Reasoning 45 (2007) 364–385.
LibreCat
 
[126]
2007 | Journal Article | LibreCat-ID: 16194
Risk assessment for natural hazards: A new approach based on fuzzy probability
I. Karimi, E. Hüllermeier, Fuzzy Sets and Systems 158 (2007) 987–999.
LibreCat
 
[125]
2007 | Book Chapter | LibreCat-ID: 16226
Fuzzy clustering of parallel data streams
J. Beringer, E. Hüllermeier, in: J. Valente de Oliveira, W. Pedrycz (Eds.), Advances in Fuzzy Clustering and Its Applications , John Wiley and Sons, 2007, pp. 333–352.
LibreCat
 
[124]
2007 | Conference Paper | LibreCat-ID: 15197
Fuzzy-relational classificaton : Combining pairwise decomposition techniques with fuzzy preference modeling
E. Hüllermeier, K. Brinker, in: In Proceedings EUSFLAT-2007 5th International Conference on the European Society for Fuzzy Logic and Technology, Ostrava, Czech Republic, 2007, pp. 353–360.
LibreCat
 
[123]
2007 | Conference Paper | LibreCat-ID: 14834
Efficient instance-based learning on data streams
J. Beringer, E. Hüllermeier, in: P. Perner (Ed.), In Proceedings ICDM-2007, International Conference on Industrial Data Mining, Leipzig, Springer, 2007, pp. 34–48.
LibreCat
 
[122]
2007 | Journal Article | LibreCat-ID: 16171
Credible case-based inference using similarity profiles
E. Hüllermeier, IEEE Transactions on Knowledge and Data Engineering 19 (2007) 847–858.
LibreCat
 
[121]
2007 | Book Chapter | LibreCat-ID: 16227
Fuzzy methods for data mining and machine learning: State of the art and prospects
E. Hüllermeier, in: Fuzzy Sets and Their Extensions: Representation, Aggregation and Models, Springer, 2007, pp. 355–374.
LibreCat
 
[120]
2007 | Conference Paper | LibreCat-ID: 14835
Case-based multilabel ranking
K. Brinker, E. Hüllermeier, in: In Proceedings IJCAI-07, 20th International Joint Conference on Artificial Intelligence, Hyerabad, India, January 2007, 2007, pp. 701–707.
LibreCat
 
[119]
2007 | Conference Paper | LibreCat-ID: 15782
Interactive ranking of skylines using machine learning techniques
W. Cheng, E. Hüllermeier, B. Seeger, I. Vladimirskiy, in: In Proceedings Workshop LWA-2007, Lernen-Wissensentdeckung-Adaptivität, Halle/Saale, Germany, 2007, pp. 141–148.
LibreCat
 
[118]
2007 | Conference Paper | LibreCat-ID: 15198
Adaptive optimization of the number of clusters in fuzzy clustering, London 2007
J. Beringer, E. Hüllermeier, in: In Proceedings FUZZ-IEEE-07, IEEE International Conference on Fuzzy Systems, 2007.
LibreCat
 
[117]
2007 | Journal Article | LibreCat-ID: 16172
Efficient instance-based learning on data streams
J. Beringer, E. Hüllermeier, Intelligent Data Analysis 11 (2007) 627–650.
LibreCat
 
[116]
2007 | Conference Paper | LibreCat-ID: 15199
Graph alignment: Fuzzy pattern mining for the structural analysis of protein active sites
E. Hüllermeier, N. Weskamp, G. Klebe, D. Kuhn, in: In Proceedings FUZZ-IEEE-07, IEEE International Conference on Fuzzy Systems, London, 2007.
LibreCat
 
[115]
2007 | Conference Paper | LibreCat-ID: 15783
Evolutionary construction of multiple graph alignments for the structural analysis of biomolecules
T. Fober, E. Hüllermeier, M. Mernberger, in: R. Mikut, M. Reischl (Eds.), In Proceedings 17th Workshop Computational Intelligence, Dortmund Germany, 2007, pp. 1–14.
LibreCat
 
[114]
2007 | Book Chapter | LibreCat-ID: 16224
Why fuzzy set theory is useful in data mining
E. Hüllermeier, in: F. Masseglia, P. Poncelet, M. Teisseire (Eds.), Successes and New Directions in Data Mining, Information Science Reference, Hershey, New York, 2007, pp. 1–16.
LibreCat
 
[113]
2007 | Conference Paper | LibreCat-ID: 13601
On pairwise Naive Bayes classifiers
J.N. Sulzmann, J. Fürnkranz, E. Hüllermeier, in: In Proceedings ECML-2007, 17th European Conference on Machine Learning, Warsawa, Poland, Springer, 2007.
LibreCat
 
[112]
2007 | Conference Paper | LibreCat-ID: 14832
On minimizing the position error in label ranking
E. Hüllermeier, J. Fürnkranz, in: In Proceedings ECML-2007, 17th European Conference on Machine Learning, Warsawa, Poland, September 2007, Springer, 2007.
LibreCat
 
[111]
2007 | Book | LibreCat-ID: 16282
Case-based Approximate Reasoning
E. Hüllermeier, Case-Based Approximate Reasoning, Springer, 2007.
LibreCat
 
[110]
2007 | Conference Paper | LibreCat-ID: 15784
Similarity search over uncertain archaeological data using a modified skyline operator
I. Vladimirskiy, E. Hüllermeier, E. Stauch, in: D.C. Wilson, D. Khemani (Eds.), In Workshop Proceedings from ICCBR-2007 7th International Conference on Case-Based Reasoning, Belfast, Northern Ireland, 2007, pp. 31–40.
LibreCat
 
[109]
2007 | Journal Article | LibreCat-ID: 16179
Multiple graph aligment for the structural analysis of protein active sites
N. Weskamp, E. Hüllermeier, D. Kuhn, G. Klebe, IEEE/ACM Transactions of Computational Biology and Bioinformatics 4 (2007) 310–320.
LibreCat
 
[108]
2006 | Conference Paper | LibreCat-ID: 14838
A unified model for multilabel classification and ranking
K. Brinker, J. Fuernkranz, E. Hüllermeier, in: G. Brewka, S. Coradeschi, A. Perini, P. Traverso (Eds.), In Proceedings ECAI-2006, 17th European Conference on Artificial Inteligence, Riva Del Garda, Italy, 2006, pp. 489–493.
LibreCat
 
[107]
2006 | Journal Article | LibreCat-ID: 16182
From the similarity analysis of protein cavities to the functional classification of protein families using Cavbase
D. Kuhn, N. Weskamp, S. Schmitt, E. Hüllermeier, G. Klebe, Journal of Molecular Biology 359 (2006) 1023–1044.
LibreCat
 
[106]
2006 | Conference Paper | LibreCat-ID: 15785
Adaptive optimization of the number of clusters in fuzzy clustering, Dortmund, Germany 2006
J. Beringer, E. Hüllermeier, in: R. Mikut, M. Reischl (Eds.), In Proceedings 16th Workshop Computational Intelligence, Dortmund Germany, 2006, pp. 140–149.
LibreCat
 
[105]
2006 | Conference Paper | LibreCat-ID: 15786
Classification via fuzzy preference learning
E. Hüllermeier, K. Brinker, in: R. Mikut, M. Reischl (Eds.), In Proceedings 16th Workshop Computational Intelligence, Dortmund Germany, 2006, pp. 190–199.
LibreCat
 
[104]
2006 | Conference Paper | LibreCat-ID: 15798
Credible case-based inference using similarity profiles
E. Hüllermeier, in: M. Minor (Ed.), In Proceedings of ECCBR-2006 Workshops, 8th European Conference on Case-Based Reasoning, Ölüdeniz/Fethiye Turkey, 2006, pp. 230–242.
LibreCat
 
[103]
2006 | Journal Article | LibreCat-ID: 16176
Fuzzy methods in case-based recommendation and decision support
D. Dubois, E. Hüllermeier, H. Prade, Journal of Intelligent Information Systems 27 (2006) 95–115.
LibreCat
 
[102]
2006 | Journal Article | LibreCat-ID: 16183
Online clustering of parallel data streams
J. Beringer, E. Hüllermeier, Data and Knowledge Engineering 58 (2006) 180–204.
LibreCat
 
[101]
2006 | Journal Article | LibreCat-ID: 16195
A fuzzy-probablistic earthquake risk assessment system
I. Karimi, E. Hüllermeier, K. Meskouris, Soft Computing 11 (2006) 229–238.
LibreCat
 
[100]
2006 | Conference Paper | LibreCat-ID: 15201
Integrating instance-based learning and logistic regression
E. Hüllermeier, in: In Proceedings IPMU-2006 11th International Conference on Information Processing and Management  of Uncertainty in Knowledge-Based Systems, Paris, France, 2006.
LibreCat
 
[99]
2006 | Conference Paper | LibreCat-ID: 15213
The Choquet integral as an aggregation operator in case-based learning
E. Hüllermeier, in: B. Reusch (Ed.), In Proceeding of the International Conference on Computational Intelligence, 9th Fuzzy Days, Dortmund, Springer, 2006, pp. 615–628.
LibreCat
 
[98]
2006 | Journal Article | LibreCat-ID: 16177
Learning from ambiguously labeled examples
E. Hüllermeier, J. Beringer, Intelligent Data Analysis 10 (2006) 419–440.
LibreCat
 
[97]
2006 | Conference Paper | LibreCat-ID: 14836
Hierarchical classification by expected utility maximization
K. Bade, E. Hüllermeier, A. Nürnberger, in: In Proceedings ICDM-2006, IEEE International Conference on Data Mining, IEEE Computer Society Press, 2006, pp. 43–52.
LibreCat
 
[96]
2006 | Journal Article | LibreCat-ID: 16173
A systematic approach to the assessment of fuzzy association rules
D. Dubois, E. Hüllermeier, H. Prade, Data Mining and Knowledge Discovery 13 (2006) 167–192.
LibreCat
 
[95]
2006 | Journal Article | LibreCat-ID: 16180
Physicochemical descriptors to discriminate protein interactions in permanent and transient complexes by means of machine learning algorithms
P. Block, J. Paern, E. Hüllermeier, P. Sanschagrin, C. Sotriffer, G. Klebe, Proteins: Structure, Function and Bioinformatics 65 (2006) 607–622.
LibreCat
 
[94]
2006 | Conference Paper | LibreCat-ID: 14837
Case-based label ranking
K. Brinker, E. Hüllermeier, in: In Proceedings ECML-2006, 17th European Conference on Machine Learning, Berlin September 2006, Springer, 2006, pp. 566–573.
LibreCat
 
[93]
2005 | Conference Paper | LibreCat-ID: 15216
Learning complexity-boundet rule-based classifiers by combining association analysis and genetic algorithms
Y. Yi, E. Hüllermeier, in: In Proceedings EUSFLAT-2005 4th International Conference on the European Society for Fuzzy Logic and Technology,  Barcelona, Spain, 2005.
LibreCat
 
[92]
2005 | Conference Paper | LibreCat-ID: 14840
Learning label preferences: Ranking error versus position error
E. Hüllermeier, J. Fürnkranz, in: A. Famili, J. Kok, J. Pena, A. Siebes, A. Feelders (Eds.), In Proceedings IDA-2005, 6th International Symposium on Intelligent Data Analysis, Madrid, Springer, 2005, pp. 180–191.
LibreCat
 
[91]
2005 | Conference Paper | LibreCat-ID: 15800
On position error and label ranking through iterated choice
E. Hüllermeier, J. Fürnkranz, J. Beringer, in: In Proceedings LWA/FGML-2005, German Workshop on Machine Learning, Saarbrücken, Germany , 2005, pp. 158–163.
LibreCat
 
[90]
2005 | Conference Paper | LibreCat-ID: 14839
A method for combining interacting pieces of evidence in case-based learning
E. Hüllermeier, C. NN, in: L. Kaelbling, A. Saffiotti (Eds.), In Proceedings IJCAI-05, 19th International Joint Conference on Artificial Intelligence, Edingburgh, Scotland, 2005, pp. 3–8.
LibreCat
 
[89]
2005 | Conference Paper | LibreCat-ID: 14841
Learning from ambiguously labeled examples
E. Hüllermeier, J. Beringer, in: A. Famili, J. Kok, J. Pena, A. Siebes, A. Feelders (Eds.), In Proceedings IDA-2005, 6th International Symposium on Intelligent Data Analysis, Madrid, Springer, 2005, pp. 168–179.
LibreCat
 
[88]
2005 | Conference Paper | LibreCat-ID: 15799
Calibrated label-ranking
K. Brinker, E. Hüllermeier, in: S. Agarwal, C. Cortes, R. Herbrich (Eds.), In Proceedings of the NIPS-2005 Workshop on Learning to Rank, Whistler, BC, Canada, http://web.mit.edu/shivani/www/Ranking-NIPS-05/., 2005, pp. 1–6.
LibreCat
 
[87]
2005 | Conference Paper | LibreCat-ID: 15105
A notion of comarative probabilistic entroy based on the possibilistic specificity ordering
D. Dubois, E. Hüllermeier, in: In Proceedings ECSQARU-2005, 8th European Conference of Symbolic and Quantitative Approaches to Reasoning with Uncertainty, Barcelona, Spain, 2005.
LibreCat
 
[86]
2005 | Conference Paper | LibreCat-ID: 15214
A fuzzy-probablistic risk assessment system for natural disasters
I. Karimi, E. Hüllermeier, in: In Proceedings IFSA-2005, 11th  World Congress of the International Fuzzy System Association, Beijing, China, 2005, pp. 1147–1153.
LibreCat
 
[85]
2005 | Journal Article | LibreCat-ID: 16178
Experience-based decision making: A satisficing decision tree approach
E. Hüllermeier, IEEE Transactions on Systems, Man and Cybernetics-Part A: Systems and Humans 35 (2005) 641–653.
LibreCat
 
[84]
2005 | Conference Paper | LibreCat-ID: 15215
Improving the interpretability of data-driven evolving fuzzy systems
E. Lughofer, E. Hüllermeier, E. Klement, in: In Proceedings EUSFLAT-2005 4th International Conference on the European Society for Fuzzy Logic and Technology, Barcelona, Spain, 2005.
LibreCat
 
[83]
2005 | Journal Article | LibreCat-ID: 16174
Fuzzy sets in machine learning and data mining: Status and prospects
E. Hüllermeier, Fuzzy Sets and Systems 156 (2005) 387–406.
LibreCat
 
[82]
2005 | Journal Article | LibreCat-ID: 16181
Clustering of gene expression data using a local shape-based similarity measure
R. Balasubramaniyan, E. Hüllermeier, N. Weskamp, J. Kämper, Bioinformatics 21 (2005) 1069–1077.
LibreCat
 
[81]
2004 | Journal Article | LibreCat-ID: 16187
Flexible constraints for regularization in learning from data
E. Hüllermeier, International Journal of Intelligent Systems 19 (2004) 525–541.
LibreCat
 
[80]
2004 | Conference Paper | LibreCat-ID: 15217
Comparison of ranking procedures in pairwise preference learning
E. Hüllermeier, J. Fürnkranz, in: In Proceedings IPMU-2004 10th International Conference on Information Processing and Management  of Uncertainty in Knowledge-Based Systems, Perugia, Italy, 2004.
LibreCat
 
[79]
2004 | Conference Paper | LibreCat-ID: 15801
A systematic approach to the assessment of fuzzy association rules
D. Dubois, E. Hüllermeier, H. Prade, in: J. Cubero, D. Sanchez, Z. Ras, T. Sudkamp (Eds.), In Proceedings of the Workshop on Alternative Techniques for Data Mining and Knowledge Discovery, IEEE International Conference on Data Mining, Brighton, UK, 2004.
LibreCat
 
[78]
2004 | Conference Paper | LibreCat-ID: 14842
Instance-based prediction with guaranteed confidence
E. Hüllermeier, in: R. Lopez de Mantaras, L. Saitta (Eds.), In Proceedings ECAI-2004, 16th European Conference on Artificial Inteligence, Valencia, Spain, IOS Press, 2004, pp. 97–101.
LibreCat
 
[77]
2004 | Conference Paper | LibreCat-ID: 15218
Ranking by pairwise comparison: A note on risk minimization
E. Hüllermeier, J. Fürnkranz, in: In Proceedings FUZZ-IEEE-04, IEEE International Conference on Fuzzy Systems, Budapest, Hungary, 2004.
LibreCat
 
[76]
2004 | Conference Paper | LibreCat-ID: 15220
Learning decision rules from positive and negative preferences
E. Hüllermeier, J. Beringer, in: In Proceedings IPMU-2004 10th International Conference on Information Processing and Management  of Uncertainty in Knowledge-Based Systems, Perugia, Italy, 2004.
LibreCat
 
[75]
2004 | Conference Paper | LibreCat-ID: 15219
An earthquake risk assessment method based on fuzzy probability
I. Karimi, E. Hüllermeier, K. Meskouris, in: In Proceedings 6th International FLINS Conference on Applied  Computational Intelligence, Duinse Polders, Blankenberg,Belgien, 2004.
LibreCat
 
[74]
2004 | Journal Article | LibreCat-ID: 16185
An evolutionary approach to constraints-regularized learning
E. Hüllermeier, I. Renners, A. Grauel, Mathware and Soft Computing 11 (2004) 109–124.
LibreCat
 
[73]
2004 | Conference Paper | LibreCat-ID: 15804
Graph alignments: A new concept to detect conserved regions in protein active sites
N. Weskamp, E. Hüllermeier, D. Kuhn, G. Klebe, in: R. Giegerich, J. Stoye (Eds.), In Proceedings of GCB-2004 of the German Conference on Bioinformatics, Bielefeld, Germany, Springer, 2004, pp. 131–140.
LibreCat
 
[72]
2004 | Journal Article | LibreCat-ID: 16186
Efficient similarity search in protein structure databases: Improving clique-detection through clique-hashing
N. Weskamp, D. Kuhn, E. Hüllermeier, G. Klebe, Bioinformatics 20 (2004) 1522–1526.
LibreCat
 
[71]
2003 | Conference Paper | LibreCat-ID: 15223
Inducing fuzzy concepts through extended version space learning
E. Hüllermeier, in: T. Bilgic, B. De Beats, O. Kaynak (Eds.), In Proceedings IFSA-03 10th International Fuzzy Systems Association World Congress, Istanbul, Turkey, Springer, 2003, pp. 648–677.
LibreCat
 
[70]
2003 | Conference Paper | LibreCat-ID: 15065
Regularized learning with flexible constraints
E. Hüllermeier, in: M.R. Berthold, H.J. Lenz, E. Bradley, R. Kruse, C. Borgelt (Eds.), In Proceddings IDA-03, 5th International Symposium on Intelligent Data Anaysis, Springer, 2003.
LibreCat
 
[69]
2003 | Journal Article | LibreCat-ID: 16188
Possibilistic instance-based learning
E. Hüllermeier, Artificial Intelligence 148 (2003) 335–383.
LibreCat
 
[68]
2003 | Journal Article | LibreCat-ID: 16190
On the representation of fuzzy rules in terms of crisp rules
D. Dubois, E. Hüllermeier, H. Prade, Information Sciences 151 (2003) 301–326.
LibreCat
 
[67]
2003 | Conference Paper | LibreCat-ID: 15802
Efficient similarity search in protein structure databases: Improving clique-detection through geometric hashing
N. Weskamp, D. Kuhn, E. Hüllermeier, G. Klebe, in: In Proceedings GCB-2003 German Conference on Bioinformatics, Munich, Germany, 2003.
LibreCat
 
[66]
2003 | Conference Paper | LibreCat-ID: 15066
Pairwise preference learning and ranking
J. Fürnkranz, E. Hüllermeier, in: In Proceedings ECML-2003, 13 Th European Conference on Machine Learning, Cavtat-Dubrovnik, Croatia, Springer, 2003.
LibreCat
 
[65]
2003 | Journal Article | LibreCat-ID: 16189
Flexibility and case-based evaluation in querying: An Illustration in an experimental setting
M. De Calmès, D. Dubois, E. Hüllermeier, H. Prade, F. Sèdes, International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems 11 (2003) 43–66.
LibreCat
 
[64]
2003 | Book Chapter | LibreCat-ID: 16228
Sequential decision making in heuristic search
E. Hüllermeier, in: G. Della Riccia, D. Dubois, R. Kruse, H.J. Lenz (Eds.), Planning Based on Decision Theory (CISM Courses and Lectures No.472), Springer, 2003.
LibreCat
 
[63]
2003 | Book Chapter | LibreCat-ID: 16230
Mining implication-based fuzzy association rules in databases
E. Hüllermeier, J. Beringer, in: B. Bouchon-Meunier, L. Foulloy, R.R.. Yager (Eds.), Intelligent Systems for Information Processing: From Representation to Applications, Elsevier, 2003.
LibreCat
 
[62]
2003 | Conference Paper | LibreCat-ID: 15221
Instance-based collaborative filtering with fuzzy labels
E. Hüllermeier, in: In Proceedings EUSFLAT-2003 3th International Conference on the European Society for Fuzzy Logic and Technology, Zittlau, Germany, 2003, pp. 468–473.
LibreCat
 
[61]
2003 | Conference Paper | LibreCat-ID: 15803
Instance-based learning of credible label sets
E. Hüllermeier, in: A. Günter, R. Kruse, B. Neumann (Eds.), In Proceedings KI-2003, 26th German Conference on Artificial Intelligence, Hamburg, Germany, Springer, 2003.
LibreCat
 
[60]
2003 | Book Chapter | LibreCat-ID: 16229
Possibilistic case-based decisions
D. Dubois, E. Hüllermeier, H. Prade, in: C. Lesage, M. Cottrell (Eds.), Connectionist Approaches in Economics and Management  Sciences, Kluwer, 2003.
LibreCat
 
[59]
2003 | Conference Paper | LibreCat-ID: 15222
A note on quality measures for fuzzy association rules
D. Dubois, E. Hüllermeier, H. Prade, in: T. Bilgic, B. De Beats, O. Kaynak (Eds.), In Proceedings IFSA-03 10th International Fuzzy Systems Association World Congress, Istanbul, Turkey, Springer, 2003, pp. 648–677.
LibreCat
 
[58]
2002 | Conference Paper | LibreCat-ID: 15228
Case-based quering and prediction: A fuzzy set approach
M. De Calmès, D. Dubois, E. Hüllermeier, H. Prade, F. Sèdes, in: In Proceedings FUZZ-IEEE-02, IEEE International Conference on Fuzzy Systems, Honolulu, Hawaii, 2002, pp. 735–740.
LibreCat
 
[57]
2002 | Conference Paper | LibreCat-ID: 15064
A fuzzy set approach to flexible case-based querying: methodology and experimentation
M. De Calmès, D. Dubois, E. Hüllermeier, H. Prade, F. Sèdes, in: D. Fensel, F. Giunchiglia, D. Mc Guinness, M.A. Williams (Eds.), In Proceedings KR-02, 8th International Conference on Principles of Knowledge Representation and Reasoning, France, Morgan Kaufmann, 2002, pp. 449–458.
LibreCat
 
[56]
2002 | Journal Article | LibreCat-ID: 16191
Model adaption in possibilistic instance-based reasoning
E. Hüllermeier, D. Dubois, H. Prade, IEEE Transactions on Fuzzy Systems 10 (2002) 333–339.
LibreCat
 
[55]
2002 | Conference Paper | LibreCat-ID: 15226
Mining implication-based fuzzy association rules in databases
E. Hüllermeier, in: In Proceedings IPMU-2002 9th International Conference on Information Processing and Management  of Uncertainty in Knowledge-Based Systems,Annecy, France, 2002, pp. 101–108.
LibreCat
 
[54]
2002 | Conference Paper | LibreCat-ID: 15098
Association rules for expressing gradual dependencies
E. Hüllermeier, in: In Proceedings PKDD-02  6th European Conference on Principles and Practise of Knowledge Discovery in Databases, Helsinki, Finland, Springer, 2002, pp. 200–211.
LibreCat
 
[53]
2002 | Conference Paper | LibreCat-ID: 15101
Possibilistic induction in decision tree learning
E. Hüllermeier, in: In Proceedings ECML-02, 13th European Conference on Machine Learning, Helsinki Finland, Springer, 2002, pp. 173–184.
LibreCat
 
[52]
2002 | Conference Paper | LibreCat-ID: 14843
On the representation and combination of evidence in instance-based learning
E. Hüllermeier, in: In Proceedings ECAI-2002, 15th European Conference on Artificial Intelligence, Lyon, France, IOS Press, 2002, pp. 360–364.
LibreCat
 
[51]
2002 | Journal Article | LibreCat-ID: 16192
Fuzzy set-based methods in instance-based reasoning
D. Dubois, E. Hüllermeier, H. Prade, IEEE Transactions on Fuzzy Systems 10 (2002) 322–332.
LibreCat
 
[50]
2002 | Conference Paper | LibreCat-ID: 15227
Exploiting similarity and experience in decision making
E. Hüllermeier, in: In Proceedings FUZZ-IEEE-02, IEEE International Conference on Fuzzy Systems, Honolulu, Hawaii, 2002, pp. 729–734.
LibreCat
 
[49]
2002 | Book Chapter | LibreCat-ID: 16232
Knowledge-based extrapolation of cases: A possibilistic approach
E. Hüllermeier, D. Dubois, H. Prade, in: B. Bouchon-Meunier, J. Gutierrez-Rios, L. Magdalena, R.R. Yager (Eds.), Technologies for Constructing Intelligent Systems, Springer, 2002, pp. 377–390.
LibreCat
 
[48]
2001 | Conference Paper | LibreCat-ID: 15300
Experience-based decision making and learning from examples
E. Hüllermeier, in: In Proceedings SOR-01 Symposium on Operations Research, Duisburg, Germany, Springer, 2001.
LibreCat
 
[47]
2001 | Conference Paper | LibreCat-ID: 15230
Toward the representation of implication-based fuzzy rules in terms of crisp rules
D. Dubois, E. Hüllermeier, H. Prade, in: In Proceedings IFSA/NAFIPS-2001  Joint 9th World Congress of the International Fuzzy Systems Association and 20th Internatinonal Conference of the North American Fuzzy Information Processing Society, Vancouver, Canada, 2001, pp. 1592–1597.
LibreCat
 
[46]
2001 | Book Chapter | LibreCat-ID: 16233
Empirische Überprüfung eines synergetischen Konjunkturmodells
M. Kraft, E. Hüllermeier, P. Weise, in: H.-W. Lorenz, B. Meyer (Eds.), Studien Zur Evoltorischen Ökonomik IV, Duncker & Humblot, Berlin, 2001, pp. 11–44.
LibreCat
 
[45]
2001 | Conference Paper | LibreCat-ID: 15805
Possibilistic instance-based learning
E. Hüllermeier, in: In Proceedings FGML-2001 German Workshop on Machine Learning, Dortmund, Germany, 2001, pp. 108–115.
LibreCat
 
[44]
2001 | Conference Paper | LibreCat-ID: 15229
Fuzzy association rules: Semantic issues and quality measures
E. Hüllermeier, in: B. Reusch (Ed.), In Proceedings of the International Conference on Computational Intelligence 7th Fuzzy Days, Dortmund, Germany, Springer, 2001, pp. 380–391.
LibreCat
 
[43]
2001 | Conference Paper | LibreCat-ID: 15806
Implication-based fuzzy association rules
E. Hüllermeier, in: In Proceedings FGML-2001 German Workshop on Machine Learning, Dortmund, Germany, 2001, pp. 93–99.
LibreCat
 
[42]
2001 | Conference Paper | LibreCat-ID: 15807
Instance-based prediction in the framework of possibility theory
E. Hüllermeier, D. Dubois, H. Prade, in: In Proceedings of Workshop on Soft Computing in Case-Based Reasoning, Vancouver, Canada, 2001.
LibreCat
 
[41]
2001 | Conference Paper | LibreCat-ID: 15106
Implication-based fuzzy association rules
E. Hüllermeier, in: D. Raedt, A. Siebes (Eds.), In Proceedings PKDD-01  5th European Conference on Principles and Practise of Knowledge Discovery in Databases, Freiburg, Germany, Springer, 2001, pp. 241–252.
LibreCat
 
[40]
2001 | Book Chapter | LibreCat-ID: 16231
Machinelles Lernen und Komplexität
E. Hüllermeier, in: F. Haslinger, P. Weise (Eds.), Ökonomie Und Gesellschaft, Jahrbuch 17: Komplexität Und Lernen, Metropolis, 2001, pp. 255–288.
LibreCat
 
[39]
2001 | Journal Article | LibreCat-ID: 16193
Similarity-based inference as evidential reasoning
E. Hüllermeier, International Journal of Approximate Reasoning 26 (2001) 67–100.
LibreCat
 
[38]
2000 | Conference Paper | LibreCat-ID: 15108
A method for predicting solutions in case-based problem solving
E. Hüllermeier, in: E. Blanzieri, L. Portinale (Eds.), In Proceedings EWCBR-2000, 5th European Workshop on Case-Based Reasoning, Trento, Italy, Springer, 2000, pp. 124–135.
LibreCat
 
[37]
2000 | Conference Paper | LibreCat-ID: 14845
Focusing search by using problem solving experience
E. Hüllermeier, in: W. Horn (Ed.), In Proceedings ECAI-2000, 14th European Conference on Artificial Inteligence, Berlin, Germany, IOS Press, 2000, pp. 55–59.
LibreCat
 
[36]
2000 | Conference Paper | LibreCat-ID: 15301
Fuzzy dynamics: Methodological framework and applications of compartmental modeling
E. Hüllermeier, in: D.M. Dubois (Ed.), In Proceedings CASYS-2000, 4th International Conference on Computing Anticipatory Systems Liège, Belgium, 2000.
LibreCat
 
[35]
2000 | Conference Paper | LibreCat-ID: 15109
Flexible control of case-based prediction in the framework of possibility theory
D. Dubois, E. Hüllermeier, H. Prade, in: E. Blanzieri, L. Portinale (Eds.), In Proceedings EWCBR-2000, 5th European Workshop on Case-Based Reasoning, Trento, Italy, Springer, 2000, pp. 61–73.
LibreCat
 
[34]
2000 | Conference Paper | LibreCat-ID: 15231
Knowledge-based extrapolution of cases: A possibilistic approach
E. Hüllermeier, D. Dubois, H. Prade, in: In Proceedings IPMU-2000 8th International Conference on Information Processing and Management  of Uncertainty in Knowledge-Based Systems, Madrid, Spain, 2000, pp. 1575–1582.
LibreCat
 
[33]
2000 | Book Chapter | LibreCat-ID: 16234
Formalizing case-based inference using fuzzy rules
D. Dubois, E. Hüllermeier, H. Prade, in: S.K. Pal, D.Y. So, T. Dillon (Eds.), Soft Computing in Case-Based Reasoning, Springer, 2000, pp. 47–72.
LibreCat
 
[32]
2000 | Conference Paper | LibreCat-ID: 15302
In vitro-in vivo hepatic clearance prediction using fuzzy sets
I. Gueroguieva, I. Nestorov, M. Rowland, E. Hüllermeier, in: In Proceedings EUFEPS-2000, 6th European Congress of Pharmaceutical Sciences, Supplement 1 , European Journal of Pharmaceutical Sciences, 2000, p. S22.
LibreCat
 
[31]
2000 | Journal Article | LibreCat-ID: 16196
Fuzzy dynamics and applications in biological systems modelling
E. Hüllermeier, C. Giersch, Systems Analysis,  Modelling, Simulation 38 (2000) 29–50.
LibreCat
 
[30]
2000 | Conference Paper | LibreCat-ID: 15808
Flexible control of case-based prediction in the framework of possibility theory
D. Dubois, E. Hüllermeier, H. Prade, in: In Proceedings RàPC-2000, Raisonnement à Partir de Cas, Toulouse, France, 2000, pp. 7–16.
LibreCat
 
[29]
2000 | Conference Paper | LibreCat-ID: 15063
Change detection in heuristic search
E. Hüllermeier, in: Proceedings AAAI 2000, 17th National Conference on Artificial Intelligence, Austin, Texas, 2000, pp. 898–903.
LibreCat
 
[28]
2000 | Conference Paper | LibreCat-ID: 14844
Similarity-based inference as evidential reasoning
E. Hüllermeier, in: W. Horn (Ed.), In Proceedings ECAI-2000, 14th European Conference on Artificial Inteligence, Berlin, Germany, IOS Press, 2000, pp. 50–54.
LibreCat
 
[27]
2000 | Journal Article | LibreCat-ID: 16198
Evaluation and specification of a synergetic business cycle model with German data
E. Hüllermeier, M. Kraft, P. Weise, Homo Oeconomicus XVI (2000).
LibreCat
 
[26]
1999 | Journal Article | LibreCat-ID: 16199
Numerical methods for fuzzy initial value problems
E. Hüllermeier, International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems 7 (1999) 439–461.
LibreCat
 
[25]
1999 | Conference Paper | LibreCat-ID: 15232
Extensions of a qualitative approach to case-based decision making: Unvertainty and fuzzy quantification in act evaluation
E. Hüllermeier, D. Dubois, H. Prade, in: H.J. Zimmermann (Ed.), In Proceedings EUFIT-99 7th European Congress on Intelligent Techniques and Soft Computing, Aachen, Germany, 1999.
LibreCat
 
[24]
1999 | Book Chapter | LibreCat-ID: 16235
Qualitatives Schließen und Qualitative Simulation
E. Hüllermeier, in: H. Szczerbicka, T. Uthmann (Eds.), Modellierung, Simulation Und Künstliche Intelligenz, SCS Publishing House, Erlangen, 1999, pp. 277–310.
LibreCat
 
[23]
1999 | Conference Paper | LibreCat-ID: 15233
Toward models of case-based decision making
E. Hüllermeier, in: H.J. Zimmermann (Ed.), In Proceedings EUFIT-99 7th European Congress on Intelligent Techniques and Soft Computing, Aachen, Germany, 1999.
LibreCat
 
[22]
1999 | Conference Paper | LibreCat-ID: 15062
Toward a probabilistic formalization of case-based inference
E. Hüllermeier, in: T. Dean (Ed.), In Proceedings IJCAI-99, 16th International Joint Conference on Artificial Intelligence, Stockholm, Sweden, Morgan Kaufmann, 1999, pp. 248–253.
LibreCat
 
[21]
1999 | Journal Article | LibreCat-ID: 16200
Approximation of uncertain funtional relationships
E. Hüllermeier, Fuzzy Sets and Systems 101 (1999) 227–240.
LibreCat
 
[20]
1999 | Conference Paper | LibreCat-ID: 15234
A possibilistic formalization of case-based reasoning and decision making
E. Hüllermeier, in: B. Reusch (Ed.), In Proceedings of the 6th International Conference on Computational Intelligence, Dortmund, Germany, Springer, 1999, pp. 411–420.
LibreCat
 
[19]
1999 | Conference Paper | LibreCat-ID: 15107
Exploiting similarity for supporting data analysis and problem solving
E. Hüllermeier, in: D.J. Hand, J.N. Kok, M.R. Berthold (Eds.), In Proceedings IDA-1999, 3th International Symposium on Intelligent Data Analysis, Amsterdam, Netherlands, Springer, 1999, pp. 257–268.
LibreCat
 
[18]
1999 | Conference Paper | LibreCat-ID: 15809
Fuzzy rules in case-based reasoning
E. Hüllermeier, D. Dubois, H. Prade, in: In Proceedings RàPC-1999, Raisonnement à Partir de Cas, Paris Palaiseau, France, In Conferences AFIA-1999, 1999, pp. 45–54.
LibreCat
 
[17]
1998 | Conference Paper | LibreCat-ID: 15287
Fuzzy dynamics of compartmental systems
E. Hüllermeier, in: H.J. Zimmermann (Ed.), In Proceedings EUFIT-98 6th European Congress on Intelligent Techniques and Soft Computing, Aachen, Germany, 1998.
LibreCat
 
[16]
1998 | Conference Paper | LibreCat-ID: 15288
Fuzzy sets and modelling of uncertainty in biological systems
E. Hüllermeier, C. Giersch, in: In Proceedings IPMU-98 7th International Conference on Information Processing and Management  of Uncertainty in Knowledge-Based Systems, Paris, La Sorbonne, Editions E.D.K., 1998, pp. 1857–1864.
LibreCat
 
[15]
1998 | Conference Paper | LibreCat-ID: 15303
Numerical solutions for fuzzy initial value problems
E. Hüllermeier, in: P. Borne, M. Ksouri, A. El Kamel (Eds.), In Proceedings CESA-98, IMACS Multiconference on Computaional Engineering in Systems Applications, Symposium on Applied Mathematics and Optimization, Nabeul-Hammamet, Tunesia, 1998.
LibreCat
 
[14]
1998 | Conference Paper | LibreCat-ID: 15810
Case-based probality and case-based decision making
E. Hüllermeier, in: L. Gierl, M. Lenz (Eds.), In Proceedings of the 6th German Workshop on Case-Based Reasoning, Berlin, Germany, 1998, pp. 13–22.
LibreCat
 
[13]
1998 | Conference Paper | LibreCat-ID: 15289
A Bayesian approach to case-based probalistic reasoning
E. Hüllermeier, in: In Proceedings IPMU-98 7th International Conference on Information Processing and Management  of Uncertainty in Knowledge-Based Systems, Paris, La Sorbonne, Editions E.D.K., 1998, pp. 1296–1303.
LibreCat
 
[12]
1997 | Conference Paper | LibreCat-ID: 15290
Hierarchical propagation of uncertain constraints
E. Hüllermeier, in: H.J. Zimmermann (Ed.), In Proceedings EUFIT-97 5th European Congress on Intelligent Techniques and Soft Computing, Aachen, Germany, 1997, pp. 953–957.
LibreCat
 
[11]
1997 | Conference Paper | LibreCat-ID: 15291
Approximation of fuzzy functions
E. Hüllermeier, in: A. Grauel, W. Becker, F. Belli (Eds.), In Proceedings 4.Internationaler Workshop Fuzzy-Neuro-Systeme. Soest Germany, 1997, pp. 374–381.
LibreCat
 
[10]
1997 | Conference Paper | LibreCat-ID: 15811
Modellierung und Simulation unsicherer dynamischer Systeme und Anwendungen in der Diagnose
E. Hüllermeier, in: D.P.F. Möller, O. Richter (Eds.), In Proceedings ASIM Fachgruppentagung Soft Computing, 1997.
LibreCat
 
[9]
1997 | Journal Article | LibreCat-ID: 16201
A new approach to modelling and simulation of uncertain dynamical systems
E. Hüllermeier, International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems 5 (1997) 117–137.
LibreCat
 
[8]
1996 | Conference Paper | LibreCat-ID: 15292
Approminate probabilistic reasoning with fuzzy constraints
E. Hüllermeier, in: H.J. Zimmermann (Ed.), In Proceedings EUFIT-96 4th European Congress on Intelligent Techniques and Soft Computing, Aachen, Germany, 1996.
LibreCat
 
[7]
1996 | Conference Paper | LibreCat-ID: 15293
A fuzzy simulation method
E. Hüllermeier, in: P.G. Anderson, K. Warwick (Eds.), International Symposium on Soft Computing, Reading U.K., ICSC Academic Press, 1996, pp. B230–B236.
LibreCat
 
[6]
1996 | Conference Paper | LibreCat-ID: 15304
Hierarchical constraint propagation based on interval arithmetic
E. Hüllermeier, in: In Proceedings Interval-96 International Conference on Interval Methods and Computer Aided Proofs in Science and Engineering, Würzburg, 1996, pp. 54–55.
LibreCat
 
[5]
1995 | Conference Paper | LibreCat-ID: 15305
Fuzzy polynomial and spline interpolation
E. Hüllermeier, in: In Proceedings IMACS Symposium on Systems Analysis and Simulation, Berlin, Gordon and Breach Publishers, 1995, pp. 401–404.
LibreCat
 
[4]
1995 | Conference Paper | LibreCat-ID: 15294
Towards modelling of fuzzy functions
E. Hüllermeier, in: H.J. Zimmermann (Ed.), In Proceedings EUFIT-95 3rd European Congress on Intelligent Techniques and Soft Computing, Aachen, Germany, 1995, pp. 150–154.
LibreCat
 
[3]
1995 | Conference Paper | LibreCat-ID: 15295
Rule-based modelling in fuzzy simulation
E. Hüllermeier, in: In Proceedings ISFL-95 International Symposium on Logic, Zürich, ICSC Academic Press, 1995, pp. B49–B56.
LibreCat
 
[2]
1995 | Book Chapter | LibreCat-ID: 16236
Konjunkturzyklen aufgrund von Investitionsinterdependenzen: Simulation und empirische Überprüfung
E. Hüllermeier, in: J. Flemmig (Ed.), Moderne Makroökonomie-Eine Kritische Bestandsaufnahme, Metropolis, 1995, pp. 413–454.
LibreCat
 
[1]
1994 | Conference Paper | LibreCat-ID: 15296
Approximate solution of a linear programming problem using a modified perceptron-algorithm.
E. Hüllermeier, in: H.J. Zimmermann (Ed.), In Proceedings EUFIT-94 2nd European Congress on Intelligent Techniques and Soft Computing, Aachen, Germany, 1994, pp. 195–199.
LibreCat
 

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[396]
2020 | Conference Paper | LibreCat-ID: 17407
Extreme Algorithm Selection with Dyadic Feature Representation
A. Tornede, M.D. Wever, E. Hüllermeier, in: Discovery Science, 2020.
LibreCat
 
[395]
2020 | Conference Paper | LibreCat-ID: 19953
A Novel Higher-order Weisfeiler-Lehman Graph Convolution
C. Damke, V. Melnikov, E. Hüllermeier, in: S. Jialin Pan, M. Sugiyama (Eds.), Proceedings of The 12th Asian Conference on Machine Learning, PMLR, Bangkok, Thailand, 2020, pp. 49–64.
LibreCat | Files available | arXiv
 
[394]
2020 | Conference Paper | LibreCat-ID: 17408
Hybrid Ranking and Regression for Algorithm Selection
J.M. Hanselle, A. Tornede, M.D. Wever, E. Hüllermeier, in: KI 2020: Advances in Artificial Intelligence, 2020.
LibreCat
 
[393]
2020 | Book Chapter | LibreCat-ID: 18014
Pool-Based Realtime Algorithm Configuration: A Preselection Bandit Approach
A. El Mesaoudi-Paul, D. Weiß, V. Bengs, E. Hüllermeier, K. Tierney, in: Learning and Intelligent Optimization. LION 2020., Springer, Cham, 2020, pp. 216–232.
LibreCat | DOI
 
[392]
2020 | Preprint | LibreCat-ID: 17605
Reliable Part-of-Speech Tagging of Historical Corpora through Set-Valued Prediction
S.H. Heid, M.D. Wever, E. Hüllermeier, Journal of Data Mining and Digital Humanities (n.d.).
LibreCat | Download (ext.)
 
[391]
2020 | Conference Paper | LibreCat-ID: 15629
LiBRe: Label-Wise Selection of Base Learners in Binary Relevance for Multi-Label Classification
M.D. Wever, A. Tornede, F. Mohr, E. Hüllermeier, in: Springer, n.d.
LibreCat
 
[390]
2020 | Conference Paper | LibreCat-ID: 17424
AutoML for Predictive Maintenance: One Tool to RUL them all
T. Tornede, A. Tornede, M.D. Wever, F. Mohr, E. Hüllermeier, in: Proceedings of the ECMLPKDD 2020, 2020.
LibreCat
 
[389]
2020 | Preprint | LibreCat-ID: 19603
Towards a Scalable and Flexible Simulation and Testing Environment Toolbox for Intelligent Microgrid Control
H. Bode, S.H. Heid, D. Weber, E. Hüllermeier, O. Wallscheid, ArXiv:2005.04869 (2020).
LibreCat | Download (ext.)
 
[388]
2020 | Journal Article | LibreCat-ID: 16725
Algorithm Selection for Software Validation Based on Graph Kernels
C. Richter, E. Hüllermeier, M.-C. Jakobs, H. Wehrheim, Journal of Automated Software Engineering (n.d.).
LibreCat
 
[387]
2020 | Preprint | LibreCat-ID: 18017
Online Preselection with Context Information under the Plackett-Luce Model
A. El Mesaoudi-Paul, V. Bengs, E. Hüllermeier, ArXiv:2002.04275 (n.d.).
LibreCat
 
[386]
2020 | Conference Paper | LibreCat-ID: 18276
Run2Survive: A Decision-theoretic Approach to Algorithm Selection based on Survival Analysis
A. Tornede, M.D. Wever, S. Werner, F. Mohr, E. Hüllermeier, in: 2020.
LibreCat | Download (ext.)
 
[385]
2019 | Journal Article | LibreCat-ID: 15002
Multi-target prediction: a unifying view on problems and methods
W. Waegeman, K. Dembczynski, E. Hüllermeier, Data Mining and Knowledge Discovery 33 (2019) 293–324.
LibreCat | Files available | DOI
 
[384]
2019 | Conference Paper | LibreCat-ID: 15014
Learning from Imprecise Data: Adjustments of Optimistic and Pessimistic Variants
E. Hüllermeier, I. Couso, S. Diestercke, in: Proceedings SUM 2019, International Conference on Scalable Uncertainty Management, 2019.
LibreCat
 
[383]
2019 | Conference Paper | LibreCat-ID: 15007
Learning to Aggregate: Tackling the Aggregation/Disaggregation Problem for OWA
V. Melnikov, E. Hüllermeier, in: Proceedings ACML, Asian Conference on Machine Learning (Proceedings of Machine Learning Research, 101), 2019.
LibreCat | Files available | DOI
 
[382]
2019 | Conference Paper | LibreCat-ID: 15003
Set-Valued Prediction in Multi-Class Classification
T. Mortier, M. Wydmuch, K. Dembczynski, E. Hüllermeier, W. Waegeman, in: Proceedings of the 31st Benelux Conference on Artificial Intelligence {(BNAIC} 2019) and the 28th Belgian Dutch Conference on Machine Learning (Benelearn 2019), Brussels, Belgium, November 6-8, 2019, 2019.
LibreCat
 
[381]
2019 | Journal Article | LibreCat-ID: 15015
Mining Rank Data
S. Henzgen, E. Hüllermeier, ACM Transactions on Knowledge Discovery from Data (2019) 1–36.
LibreCat | DOI
 
[380]
2019 | Conference Paper | LibreCat-ID: 10232
Automating Multi-Label Classification Extending ML-Plan
M.D. Wever, F. Mohr, A. Tornede, E. Hüllermeier, in: 2019.
LibreCat | Files available
 
[379]
2019 | Journal Article | LibreCat-ID: 10578
Choice Functions Generated by Mallows and Plackett–Luce Relations
V.K. Tagne, S. Fotso, L.A. Fono, E. Hüllermeier, New Mathematics and Natural Computation 15 (2019) 191–213.
LibreCat
 
[378]
2019 | Book Chapter | LibreCat-ID: 15004
Feature Selection for Analogy-Based Learning to Rank
M. Ahmadi Fahandar, E. Hüllermeier, in: Discovery Science, Cham, 2019.
LibreCat | DOI
 
[377]
2019 | Conference Paper | LibreCat-ID: 15011
Algorithm Selection as Recommendation: From Collaborative Filtering to Dyad Ranking
A. Tornede, M.D. Wever, E. Hüllermeier, in: F. Hoffmann, E. Hüllermeier, R. Mikut (Eds.), Proceedings - 29. Workshop Computational Intelligence, Dortmund, 28. - 29. November 2019, KIT Scientific Publishing, Karlsruhe, 2019, pp. 135–146.
LibreCat | Files available
 
[376]
2019 | Book Chapter | LibreCat-ID: 15005
Analogy-Based Preference Learning with Kernels
M. Ahmadi Fahandar, E. Hüllermeier, in: KI 2019: Advances in Artificial Intelligence, Cham, 2019.
LibreCat | DOI
 
[375]
2019 | Preprint | LibreCat-ID: 18016
Preselection Bandits under the Plackett-Luce Model
V. Bengs, E. Hüllermeier, ArXiv:1907.06123 (n.d.).
LibreCat
 
[374]
2019 | Conference Abstract | LibreCat-ID: 13132
From Automated to On-The-Fly Machine Learning
F. Mohr, M.D. Wever, A. Tornede, E. Hüllermeier, in: INFORMATIK 2019: 50 Jahre Gesellschaft Für Informatik – Informatik Für Gesellschaft, Gesellschaft für Informatik e.V., Bonn, 2019, pp. 273–274.
LibreCat
 
[373]
2019 | Journal Article | LibreCat-ID: 15001
Fuzzy Sets in Data Analysis: From Statistical Foundations to Machine Learning
I. Couso, C. Borgelt, E. Hüllermeier, R. Kruse, IEEE Computational Intelligence Magazine (2019) 31–44.
LibreCat | DOI
 
[372]
2019 | Book Chapter | LibreCat-ID: 15006
Epistemic Uncertainty Sampling
V.-L. Nguyen, S. Destercke, E. Hüllermeier, in: Discovery Science, Cham, 2019.
LibreCat | DOI
 
[371]
2019 | Conference Paper | LibreCat-ID: 15013
A Reduction of Label Ranking to Multiclass Classification
K. Brinker, E. Hüllermeier, in: Proceedings ECML/PKDD, European Conference on Machine Learning and Knowledge Discovery in Databases, Würzburg, Germany, 2019.
LibreCat
 
[370]
2019 | Conference Abstract | LibreCat-ID: 8868
Towards Automated Machine Learning for Multi-Label Classification
M.D. Wever, F. Mohr, E. Hüllermeier, A. Hetzer, in: 2019.
LibreCat | Files available
 
[369]
2018 | Conference Paper | LibreCat-ID: 10184
Preference-Based Reinforcement Learning Using Dyad Ranking
D. Schäfer, E. Hüllermeier, in: Proc. 21st Int. Conference on Discovery Science (DS), 2018, pp. 161–175.
LibreCat
 
[368]
2018 | Conference Paper | LibreCat-ID: 2479
(WIP) Towards the Automated Composition of Machine Learning Services
F. Mohr, M.D. Wever, E. Hüllermeier, A. Faez, in: SCC, IEEE, San Francisco, CA, USA, 2018.
LibreCat | Files available | DOI | Download (ext.)
 
[367]
2018 | Conference Paper | LibreCat-ID: 3852
ML-Plan for Unlimited-Length Machine Learning Pipelines
M.D. Wever, F. Mohr, E. Hüllermeier, in: ICML 2018 AutoML Workshop, 2018.
LibreCat | Files available | Download (ext.)
 
[366]
2018 | Conference (Editor) | LibreCat-ID: 10591
Research Directions for Principles of Data Management
S. Abiteboul, M. Arenas, P. Barceló, M. Bienvenu, D. Calvanese, C. David, R. Hull, E. Hüllermeier, B. Kimelfeld, L. Libkin, W. Martens, T. Milo, F. Murlak, F. Neven, M. Ortiz, T. Schwentick, J. Stoyanovich, J. Su, D. Suciu, V. Vianu, K. Yi, eds., Research Directions for Principles of Data Management, 2018.
LibreCat
 
[365]
2018 | Preprint | LibreCat-ID: 17713
Automated Multi-Label Classification based on ML-Plan
M.D. Wever, F. Mohr, E. Hüllermeier, (2018).
LibreCat | Download (ext.)
 
[364]
2018 | Conference Paper | LibreCat-ID: 10148
Ranking Distributions based on Noisy Sorting
A. El Mesaoudi-Paul, E. Hüllermeier, R. Busa-Fekete, in: Proc. 35th Int. Conference on Machine Learning (ICML), 2018, pp. 3469–3477.
LibreCat
 
[363]
2018 | Conference Paper | LibreCat-ID: 10181
Reliable Multi-class Classification based on Pairwise Epistemic and Aleatoric Uncertainty
V.-L. Nguyen, S. Destercke, M.-H. Masson, E. Hüllermeier, in: Proc. 27th Int.Joint Conference on Artificial Intelligence (IJCAI), 2018, pp. 5089–5095.
LibreCat
 
[362]
2018 | Journal Article | LibreCat-ID: 16038
Dyad ranking using Plackett-Luce models based on joint feature representations
D. Schäfer, E. Hüllermeier, Machine Learning 107 (2018) 903–941.
LibreCat
 
[361]
2018 | Conference Paper | LibreCat-ID: 2109
Ensembles of Evolved Nested Dichotomies for Classification
M.D. Wever, F. Mohr, E. Hüllermeier, in: Proceedings of the Genetic and Evolutionary Computation Conference, GECCO 2018, Kyoto, Japan, July 15-19, 2018, ACM, Kyoto, Japan, 2018.
LibreCat | Files available | DOI | Download (ext.)
 
[360]
2018 | Conference Paper | LibreCat-ID: 2471
On-The-Fly Service Construction with Prototypes
F. Mohr, M.D. Wever, E. Hüllermeier, in: SCC, IEEE Computer Society, San Francisco, CA, USA, 2018.
LibreCat | Files available | DOI | Download (ext.)
 
[359]
2018 | Book Chapter | LibreCat-ID: 6423
Preference-Based Reinforcement Learning Using Dyad Ranking
D. Schäfer, E. Hüllermeier, in: Discovery Science, Springer International Publishing, Cham, 2018, pp. 161–175.
LibreCat | Files available | DOI
 
[358]
2018 | Preprint | LibreCat-ID: 17714
Automated machine learning service composition
F. Mohr, M.D. Wever, E. Hüllermeier, (2018).
LibreCat | Download (ext.)
 
[357]
2018 | Journal Article | LibreCat-ID: 10276
Dyad Ranking Using Plackett-Luce Models based on joint feature representations
D. Schäfer, E. Hüllermeier, Machine Learning 107 (2018) 903–941.
LibreCat
 
[356]
2018 | Conference Paper | LibreCat-ID: 10149
A Reinforcement Learning Strategy for the Swing-Up of the Double Pendulum on a Cart
M. Hesse, J. Timmermann, E. Hüllermeier, A. Trächtler, in: Proc. 4th Int. Conference on System-Integrated Intelligence: Intelligent, Flexible and Connected Systems in Products and Production, Procedia Manufacturing 24, 2018, pp. 15–20.
LibreCat
 
[355]
2018 | Book Chapter | LibreCat-ID: 10783
Statistical Inference for Incomplete Ranking Data: A Comparison of two likelihood-based estimators
I. Couso, E. Hüllermeier, in: S. Mostaghim, A. Nürnberger, C. Borgelt (Eds.), Frontiers in Computational Intelligence, Springer, 2018, pp. 31–46.
LibreCat
 
[354]
2018 | Conference Paper | LibreCat-ID: 2857
Programmatic Task Network Planning
F. Mohr, T. Lettmann, E. Hüllermeier, M.D. Wever, in: Proceedings of the 1st ICAPS Workshop on Hierarchical Planning, AAAI, 2018, pp. 31–39.
LibreCat | Files available | Download (ext.)
 
[353]
2018 | Conference Paper | LibreCat-ID: 3552
Reduction Stumps for Multi-Class Classification
F. Mohr, M.D. Wever, E. Hüllermeier, in: Proceedings of the Symposium on Intelligent Data Analysis, ‘s-Hertogenbosch, the Netherlands, n.d.
LibreCat | Files available | DOI | Download (ext.)
 
[352]
2018 | Conference Paper | LibreCat-ID: 10145
Learning to Rank Based on Analogical Reasoning
M. Ahmadi Fahandar, E. Hüllermeier, in: Proc. 32 Nd AAAI Conference on Artificial Intelligence (AAAI), 2018, pp. 2951–2958.
LibreCat
 
[351]
2018 | Book Chapter | LibreCat-ID: 10152
Learning interpretable rules for multi-label classification
E.L. Mencia, J. Fürnkranz, E. Hüllermeier, M. Rapp, in: H. Jair Escalante, S. Escalera, I. Guyon, X. Baro, Y. Güclüütürk, U. Güclü, M.A.J. van Gerven (Eds.), Explainable and Interpretable Models in Computer Vision and Machine Learning, Springer, 2018, pp. 81–113.
LibreCat
 
[350]
2018 | Conference Abstract | LibreCat-ID: 1379
Supporting the Cognitive Process in Annotation Tasks
N. Seemann, M. Geierhos, M.-L. Merten, D. Tophinke, M.D. Wever, E. Hüllermeier, in: K. Eckart, D. Schlechtweg (Eds.), Postersession Computerlinguistik der 40. Jahrestagung der Deutschen Gesellschaft für Sprachwissenschaft, 2018.
LibreCat | Files available | Download (ext.)
 
[349]
2018 | Journal Article | LibreCat-ID: 3510
ML-Plan: Automated Machine Learning via Hierarchical Planning
F. Mohr, M.D. Wever, E. Hüllermeier, Machine Learning (2018) 1495–1515.
LibreCat | Files available | DOI | Download (ext.)
 
[348]
2018 | Journal Article | LibreCat-ID: 3402 LibreCat | Files available | DOI
 
[347]
2017 | Conference Paper | LibreCat-ID: 10204
Estimating relative depth in single images via rankboost
R. Ewerth, M. Springstein, E. Müller, A. Balz, J. Gehlhaar, T. Naziyok, K. Dembczynski, E. Hüllermeier, in: Proc. IEEE Int. Conf. on Multimedia and Expo (ICME 2017), 2017, pp. 919–924.
LibreCat
 
[346]
2017 | Conference Paper | LibreCat-ID: 10209
Learning to Rank based on Analogical Reasoning
M. Ahmadi Fahandar, E. Hüllermeier, in: Proc. AAAI 2017, 32nd AAAI Conference on Artificial Intelligence, 2017.
LibreCat
 
[345]
2017 | Conference Paper | LibreCat-ID: 10216
Learning TSK Fuzzy Rules from Data Streams
A. Shaker, W. Heldt, E. Hüllermeier, in: Proceedings ECML/PKDD, European Conference on Machine Learning and Knowledge Discovery in Databases, Skopje, Macedonia, 2017.
LibreCat
 
[344]
2017 | Conference Paper | LibreCat-ID: 1180
Automatic Machine Learning: Hierachical Planning Versus Evolutionary Optimization
M.D. Wever, F. Mohr, E. Hüllermeier, in: 27th Workshop Computational Intelligence, Dortmund, 2017.
LibreCat | Files available | Download (ext.)
 
[343]
2017 | Conference Paper | LibreCat-ID: 15110
Maximum likelihood estimation and coarse data
I. Couso, D. Dubois, E. Hüllermeier, in: In Proceedings SUM 2017, 11th International Conference on Scalable Uncertainty Management, Granada, Spain, Springer, 2017, pp. 3–16.
LibreCat
 
[342]
2017 | Encyclopedia Article | LibreCat-ID: 10589
Preference Learning
J. Fürnkranz, E. Hüllermeier, in: Encyclopedia of Machine Learning and Data Mining, 2017, pp. 1000–1005.
LibreCat
 
[341]
2017 | Conference Paper | LibreCat-ID: 10205
Statistical Inference for Incomplete Ranking Data: The Case of Rank-Dependent Coarsening
M. Ahmadi Fahandar, E. Hüllermeier, I. Couso, in: Proc. 34th Int. Conf. on Machine Learning (ICML 2017), 2017, pp. 1078–1087.
LibreCat
 
[340]
2017 | Conference Paper | LibreCat-ID: 10212 LibreCat
 
[339]
2017 | Journal Article | LibreCat-ID: 10267
Lexicographic preferences for predictive modeling of human decision making. A new machine learning method with an application in accounting
M. Bräuning, E. Hüllermeier, T. Keller, M. Glaum, European Journal of Operational Research 258 (2017) 295–306.
LibreCat
 
[338]
2017 | Conference Paper | LibreCat-ID: 15399
Predicting rankings of software verification tools
M. Czech, E. Hüllermeier, M.C. Jacobs, H. Wehrheim, in: In Proceedings ESEC/FSE Workshops 2017 - 3rd ACM SIGSOFT, International Workshop on Software Analytics (SWAN 2017), Paderborn Germany, 2017.
LibreCat
 
[337]
2017 | Conference Paper | LibreCat-ID: 10213
Optimizing the Structure of Nested Dichotomies: A Comparison of Two Heuristics
V. Melnikov, E. Hüllermeier, in: Proceedings 27. Workshop Computational Intelligence, Dortmund, Germany 2017, 2017, pp. 1–12.
LibreCat
 
[336]
2017 | Journal Article | LibreCat-ID: 10268
Imprecise Matching of Requirements Specifications for Software Services Using Fuzzy Logic
M.-C. Platenius, A. Shaker, M. Becker, E. Hüllermeier, W. Schäfer, IEEE Transactions on Software Engineering 43 (2017) 739–759.
LibreCat
 
[335]
2017 | Conference Paper | LibreCat-ID: 10206
Planning with Independent Task Networks
F. Mohr, T. Lettmann, E. Hüllermeier, in: Proc. 40th Annual German Conference on Advances in Artificial Intelligence (KI 2017), 2017, pp. 193–206.
LibreCat | Files available | DOI
 
[334]
2017 | Conference Paper | LibreCat-ID: 10207
Predicting rankings of software verification tools
M. Czech, E. Hüllermeier, M.-C. Jakobs, H. Wehrheim, in: Proc. 3rd ACM SIGSOFT Int. I Workshop on Software Analytics (SWAN@ESEC/SIGSOFT FSE 2017, 2017, pp. 23–26.
LibreCat
 
[333]
2017 | Journal Article | LibreCat-ID: 10269
From Knowledge-based to Data-driven Modeling of Fuzzy Rule-based Systems: A Critical Reflection
E. Hüllermeier, The Computing Research Repository  (CoRR) (2017).
LibreCat
 
[332]
2017 | Conference Paper | LibreCat-ID: 71
Predicting Rankings of Software Verification Tools
M. Czech, E. Hüllermeier, M.-C. Jakobs, H. Wehrheim, in: Proceedings of the 3rd International Workshop on Software Analytics, 2017, pp. 23–26.
LibreCat | Files available | DOI
 
[331]
2017 | Book Chapter | LibreCat-ID: 10784
Preference Learning
J. Fürnkranz, E. Hüllermeier, in: C. Sammut, G.I. Webb (Eds.), Encyclopedia of Machine Learning and Data Mining, Springer, 2017, pp. 1000–1005.
LibreCat
 
[330]
2017 | Conference Paper | LibreCat-ID: 10208
Maximum Likelihood Estimation and Coarse Data
I. Couso, D. Dubois, E. Hüllermeier, in: Proc. 11th Int. Conf. on Scalable Uncertainty Management (SUM 2017), 2017, pp. 3–16.
LibreCat
 
[329]
2017 | Conference Paper | LibreCat-ID: 15397
Optimizing the structure of nested dichotomies. A comparison of two heuristics
V. Melnikov, E. Hüllermeier, in: F. Hoffmann, E. Hüllermeier, R. Mikut (Eds.), In Proceedings 27th Workshop Computational Intelligence, Dortmund Germany, KIT Scientific Publishing, 2017, pp. 1–12.
LibreCat
 
[328]
2017 | Report | LibreCat-ID: 72
Predicting Rankings of Software Verification Competitions
M. Czech, E. Hüllermeier, M.-C. Jakobs, H. Wehrheim, Predicting Rankings of Software Verification Competitions, 2017.
LibreCat | Files available
 
[327]
2017 | Conference Paper | LibreCat-ID: 3325
Optimizing the Structure of Nested Dichotomies: A Comparison of Two Heuristics
V. Melnikov, E. Hüllermeier, in: Proceedings. 27. Workshop Computational Intelligence, Dortmund, 23. - 24. November 2017, KIT Scientific Publishing, 2017.
LibreCat | Files available | DOI
 
[326]
2016 | Encyclopedia Article | LibreCat-ID: 10785
Preference Learning
J. Fürnkranz, E. Hüllermeier, in: C. Sammut, G.I. Webb (Eds.), Encyclopedia of Machine Learning and Data Mining, Springer, 2016.
LibreCat
 
[325]
2016 | Conference Paper | LibreCat-ID: 10223
Learning to aggregate using uninorms, in Proceedings ECML/PKDD-2016
V. Melnikov, E. Hüllermeier, in: European Conference on Machine Learning and Knowledge Discovery in Databases, Part II, Riva Del Garda, Italy, 2016, pp. 756–771.
LibreCat
 
[324]
2016 | Conference Paper | LibreCat-ID: 10228
Preference-Based Reinforcement Learning Using Dyad Ranking
D. Schäfer, E. Hüllermeier, in: R. Busa-Fekete, E. Hüllermeier, V. Mousseau, K. Pfannschmidt (Eds.), Proceedings DA2PL ´2016, Euro Mini Conference from Multiple Criteria Decision Aid to Preference Learning, 2016.
LibreCat
 
[323]
2016 | Conference Paper | LibreCat-ID: 10230
Support vector classification on noisy data using fuzzy supersets losses
S. Lu, E. Hüllermeier, in: F. Hoffmann, E. Hüllermeier, R. Mikut (Eds.), Proceedings 26. Workshop Computational Intelligence, KIT Scientific Publishing, 2016, pp. 1–8.
LibreCat
 
[322]
2016 | Journal Article | LibreCat-ID: 10266 LibreCat
 
[321]
2016 | Conference Paper | LibreCat-ID: 15401
Preference -based reinforcement learning using dyad ranking
D. Schäfer, E. Hüllermeier, in: R. Busa-Fekete, E. Hüllermeier, V. Mousseau, K. Pfannschmidt (Eds.), In Proceedings DA2PL`2016 Euro Mini Conference From Multiple Criteria Decision Aid to Preference Learning, Paderborn, Germany, 2016.
LibreCat
 
[320]
2016 | Conference Paper | LibreCat-ID: 10224
Consistency of probalistic classifier trees
K. Dembczynski, W. Kotlowski, W. Waegeman, R. Busa-Fekete, E. Hüllermeier, in: In Proceedings ECML/PKDD European Conference on Maschine Learning and Knowledge Discovery in Databases, Part II, Riva Del Garda, Italy, 2016, pp. 511–526.
LibreCat
 
[319]
2016 | Conference Paper | LibreCat-ID: 10229
Statistical Inference for Incomplete Ranking Data: A Comparison of two likelihood-based estimators
I. Couso, M. Ahmadi Fahandar, E. Hüllermeier, in: R. Busa-Fekete, E. Hüllermeier, V. Mousseau, K. Pfannschmidt (Eds.), Proceedings DA2PL ´2016, Euro Mini Conference from Multiple Criteria Decision Aid to Preference Learning, 2016.
LibreCat
 
[318]
2016 | Conference Paper | LibreCat-ID: 10231
Plackett-Luce networks for dyad ranking
D. Schäfer, E. Hüllermeier, in: In Workshop LWDA “Lernen, Wissen, Daten, Analysen,” 2016.
LibreCat
 
[317]
2016 | Conference Paper | LibreCat-ID: 15402
Statistical Inference for Incomplete Ranking Data: A Comparison of two likelihood-based estimators
I. Couso, M. Ahmadi Fahandar, E. Hüllermeier, in: R. Busa-Fekete, E. Hüllermeier, V. Mousseau, K. Pfannschmidt (Eds.), In Proceedings DA2PL 2016 EURO Mini Conference From Multiple Criteria Decision Aid to Preference Learning, Paderborn Germany, 2016.
LibreCat
 
[316]
2016 | Conference Paper | LibreCat-ID: 15111
Evaluating tests in medical diagnosis-Combining machine learning with game-theoretical concepts
K. Pfannschmidt, E. Hüllermeier, S. Held, R. Neiger, in: In Proceedings IPMU 16th International Conference on Information Processing and Management  of Uncertainty in Knowledge-Based Systems, Part 1, Eindhoven, The Netherlands, Springer, 2016, pp. 450–461.
LibreCat
 
[315]
2016 | Conference Paper | LibreCat-ID: 10225
Predicting the electricity consumption of buildings: An improved CBR approach
A. Shabani, A. Paul, R. Platon, E. Hüllermeier, in: In Proceedings ICCBR, 24th International Conference on Case-Based Reasoning, Atlanta, GA, USA, 2016, pp. 356–369.
LibreCat
 
[314]
2016 | Conference (Editor) | LibreCat-ID: 10263
ECAI 2016, 22nd European Conference on Artificial Intelligence, including PAIS 2016, Prestigious Applications of Artificial Intelligence
G.A. Kaminka, M. Fox, P. Bouquet, E. Hüllermeier, V. Dignum, F. Dignum, F. van Harmelen, eds., ECAI 2016, 22nd European Conference on Artificial Intelligence, Including PAIS 2016, Prestigious Applications of Artificial Intelligence, IOS Press, The Hague, The Netherlands, 2016.
LibreCat
 
[313]
2016 | Conference Paper | LibreCat-ID: 15403
Support vector classification on noisy data using fuzzy superset losses
S. Lu, E. Hüllermeier, in: E. Hüllermeier, F. Hoffmann, R. Mikut (Eds.), In Proceedings 26th Workshop Computational Intelligence, Dortmund Germany, KIT Scientific Publishing, 2016, pp. 1–8.
LibreCat
 
[312]
2016 | Journal Article | LibreCat-ID: 190
Imprecise Matching of Requirements Specifications for Software Services using Fuzzy Logic
M.C. Platenius, A. Shaker, M. Becker, E. Hüllermeier, W. Schäfer, IEEE Transactions on Software Engineering (TSE), Presented at ICSE 2017 (2016) 739–759.
LibreCat | Files available | DOI
 
[311]
2016 | Book Chapter | LibreCat-ID: 10214
Preference Learning
J. Fürnkranz, E. Hüllermeier, in: C. Sammut, G.I. Webb (Eds.), Encyclopedia of Machine Learning and Data Mining, Springer, 2016.
LibreCat
 
[310]
2016 | Conference (Editor) | LibreCat-ID: 10221
Proceedings 26. Workshop Computational Intelligence KIT Scientific Publishing, Karlsruhe, Germany
F. Hoffmann, E. Hüllermeier, R. Mikut, eds., Proceedings 26. Workshop Computational Intelligence KIT Scientific Publishing, Karlsruhe, Germany, 2016.
LibreCat
 
[309]
2016 | Conference Paper | LibreCat-ID: 10226
Evaluating tests in medical diagnosis-Combining machine learning with game-theoretical concepts
K. Pfannschmidt, E. Hüllermeier, S. Held, R. Neiger, in: In Proceedings IPMU 16th International Conference on Information Processing and Management  of Uncertainty in Knowledge-Based Systems, Part 1, Eindhoven, The Netherlands, Springer, 2016, pp. 450–461.
LibreCat
 
[308]
2016 | Journal Article | LibreCat-ID: 10264
CavSimBase: A database for large scale comparison of protein binding sites
M. Leinweber, T. Fober, M. Strickert, L. Baumgärtner, G. Klebe, B. Freisleben, E. Hüllermeier, IEEE Transactions on Knowledge and Data Engineering 28 (2016) 1423–1434.
LibreCat
 
[307]
2016 | Conference Paper | LibreCat-ID: 15404
Plackett-Luce networks for dyad ranking
D. Schäfer, E. Hüllermeier, in: In Workshop LWDA “Lernen, Wissen, Daten, Analysen” Potsdam, Germany, 2016.
LibreCat
 
[306]
2016 | Journal Article | LibreCat-ID: 16041
CavSimBase: A database for large scale comparison of protein binding sites
M. Leinweber, T. Fober, M. Strickert, L. Baumgärtner, G. Klebe, B. Freisleben, E. Hüllermeier, IEEE Transactions on Knowledge and Data Engineering 28 (2016) 1423–1434.
LibreCat
 
[305]
2016 | Conference Paper | LibreCat-ID: 184
Learning to Aggregate Using Uninorms
V. Melnikov, E. Hüllermeier, in: Proceedings of the Joint European Conference on Machine Learning and Knowledge Discovery in Databases (ECML/PKDD 2016), 2016, pp. 756–771.
LibreCat | Files available | DOI
 
[304]
2016 | Conference Paper | LibreCat-ID: 10222
Extreme F-measure maximization using sparse probability estimates
K. Jasinska, K. Dembczynski, R. Busa-Fekete, T. Klerx, E. Hüllermeier, in: M.F. Balcan, K.Q. Weinberger (Eds.), Proceedings ICML-2016, 33th International Conference on Machine Learning, New York, USA, 2016.
LibreCat
 
[303]
2016 | Conference Paper | LibreCat-ID: 10227
On the Identifiability of models in multi-criteria preference learning
C. Labreuche, E. Hüllermeier, P. Vojtas, A. Fallah Tehrani, in: R. Busa-Fekete, E. Hüllermeier, V. Mousseau, K. Pfannschmidt (Eds.), Proceedings DA2PL ´2016, Euro Mini Conference from Multiple Criteria Decision Aid to Preference Learning, 2016.
LibreCat
 
[302]
2016 | Conference Paper | LibreCat-ID: 15400
On the identifiability of models in multi-criteria preference learning
C. Labreuche, E. Hüllermeier, P. Vojtas, A. Fallah Tehrani, in: R. Busa-Fekete, E. Hüllermeier, V. Mousseau, K. Pfannschmidt (Eds.), In Proceedings DA2PL 2016 EURO Mini Conference From Multiple Criteria Decision Aid to Preference Learning, Paderborn Germany, 2016.
LibreCat
 
[301]
2016 | Journal Article | LibreCat-ID: 3318
Pairwise versus Pointwise Ranking: A Case Study
V. Melnikov, E. Hüllermeier, D. Kaimann, B. Frick, Pritha Gupta, Schedae Informaticae 25 (2016).
LibreCat | Files available | DOI
 
[300]
2015 | Journal Article | LibreCat-ID: 10324
Fast Fuzzy Pattern Tree Learning of Classification
R. Senge, E. Hüllermeier, IEEE Transactions on Fuzzy Systems 23 (2015) 2024–2033.
LibreCat
 
[299]
2015 | Conference Paper | LibreCat-ID: 10235 LibreCat
 
[298]
2015 | Conference Paper | LibreCat-ID: 10242
Online F-Measure Optimization
B. Szörényi, R. Busa-Fekete, K. Dembczynski, E. Hüllermeier, in: In Advances in Neural Information Processing Systems 28 (NIPS 2015), 2015, pp. 595–603.
LibreCat
 
[297]
2015 | Conference Paper | LibreCat-ID: 15406
Preference-based meta-learning using dyad ranking: Recommending algorithms in cold-start situations
D. Schäfer, E. Hüllermeier, in: In Proceedings of the 2015 International Workshop on Meta-Learning and Algorithm Selection Co-Located ECML/PKDD, Porto, Portugal, 2015, pp. 110–111.
LibreCat
 
[296]
2015 | Journal Article | LibreCat-ID: 16067 LibreCat
 
[295]
2015 | Journal Article | LibreCat-ID: 4792
Fast Fuzzy Pattern Tree Learning for Classification
R. Senge, E. Hüllermeier, IEEE Transactions on Fuzzy Systems 23 (2015) 2024–2033.
LibreCat | Files available | DOI
 
[294]
2015 | Conference Paper | LibreCat-ID: 10236
Case Base Maintenance in Preference-Based CBR
A. Abdel-Aziz, E. Hüllermeier, in: In Proceedings 23rd International Conference on Case-Based Reasoning (ICCBR 2015), 2015, pp. 1–14.
LibreCat
 
[293]
2015 | Conference Paper | LibreCat-ID: 10243
A CBR Approach to the Angry Birds Game
A. El Mesaoudi-Paul, E. Hüllermeier, in: In Workshop Proc. 23rd International Conference on Case-Based Reasoning (ICCBR 2015), 2015, pp. 68–77.
LibreCat
 
[292]
2015 | Journal Article | LibreCat-ID: 10320
Does machine learning need fuzzy logic?
E. Hüllermeier, Fuzzy Sets and Systems 281 (2015) 292–299.
LibreCat
 
[291]
2015 | Conference Paper | LibreCat-ID: 15750
Depth estimation in monocular images: Quantitative versus qualitative approaches
R. Ewerth, A. Balz, J. Gehlhaar, K. Dembczynski, E. Hüllermeier, in: F. Hoffmann, E. Hüllermeier (Eds.), In Proceedings 25. Workshop Computational Intelligence, Dortmund, Germany, KIT Scientific Publishing, 2015, pp. 235–240.
LibreCat
 
[290]
2015 | Journal Article | LibreCat-ID: 16049
Fast fuzzy pattern tree learning for classification
R. Senge, E. Hüllermeier, IEEE Transactions on Fuzzy Systems 23 (2015) 2024–2033.
LibreCat
 
[289]
2015 | Journal Article | LibreCat-ID: 16051 LibreCat
 
[288]
2015 | Conference Paper | LibreCat-ID: 10237
Qualitative Multi-Armed Bandits: A Quantile-Based Approach
B. Szörényi, R. Busa-Fekete, P. Weng, E. Hüllermeier, in: In Proceedings International Conference on Machine Learning (ICML 2015), 2015, pp. 1660–1668.
LibreCat
 
[287]
2015 | Conference Paper | LibreCat-ID: 10244
Preference-Based Meta- Learning Using Dyad Ranking: Recommending Algorithms in Cold-Start Situations
D. Schäfer, E. Hüllermeier, in: In Proceedings of the 2015 International Workshop on Meta-Learning and Algorithm Selection (MetaSel@PKDD/ECML), 2015, pp. 110–111.
LibreCat
 
[286]
2015 | Journal Article | LibreCat-ID: 10319
On the Bayes-Optimality of F-Measure Maximizers
W. Waegeman, K. Dembczynski, A. Jachnik, W. Cheng, E. Hüllermeier, In Journal of Machine Learning Research 15 (2015) 3333–3388.
LibreCat
 
[285]
2015 | Journal Article | LibreCat-ID: 10321 LibreCat
 
[284]
2015 | Conference Paper | LibreCat-ID: 15749
A cbr approach to the angry birds game
A. Paul, E. Hüllermeier, in: In Workshop Proceedings from ICCBR, 23rd International Conference on Case-Based Reasoning, Frankfurt, Germany, 2015, pp. 68–77.
LibreCat
 
[283]
2015 | Conference Paper | LibreCat-ID: 15751
Locally weighted regression through data imprecisiation
S. Lu, E. Hüllermeier, in: F. Hoffmann, E. Hüllermeier (Eds.), In Proceedings 25th Workshop Computational Intelligence, Dortmund Germany, KIT Scientific Publishing, 2015, pp. 97–104.
LibreCat
 
[282]
2015 | Conference Paper | LibreCat-ID: 10238
Dyad Ranking Using A Bilinear Plackett-Luce Model
D. Schäfer, E. Hüllermeier, in: In Proceedings European Conference on Machine Learning and Knowledge Discovery in Databases (ECML/PKDD), 2015, pp. 227–242.
LibreCat
 
[281]
2015 | Conference Paper | LibreCat-ID: 10240
Weighted Rank Correlation : A Flexible Approach Based on Fuzzy Order Relations
S. Henzgen, E. Hüllermeier, in: In Proceedings European Conference on Machine Learning and Knowledge Discovery in Databases (ECML/PKDD), 2015, pp. 422–437.
LibreCat
 
[280]
2015 | Conference Paper | LibreCat-ID: 10245
Locally weighted regression through data imprecisiation
S. Lu, E. Hüllermeier, in: Proceedings 25. Workshop Computational Intelligence, 2015, pp. 97–104.
LibreCat
 
[279]
2015 | Journal Article | LibreCat-ID: 10322 LibreCat
 
[278]
2015 | Journal Article | LibreCat-ID: 16053
Does machine learning need fuzzy logic?
E. Hüllermeier, Fuzzy Sets and Systems 281 (2015) 292–299.
LibreCat
 
[277]
2015 | Journal Article | LibreCat-ID: 16058
On the Bayes-optimality of F-measure maximizers
W. Waegeman, K. Dembczynski, A. Jachnik, W. Cheng, E. Hüllermeier, Journal of Machine Learning Research 15 (2015) 3313–3368.
LibreCat
 
[276]
2015 | Journal Article | LibreCat-ID: 10323
Overlap Indices: Construction of and Application of Interpolative Fuzzy Systems
S. Garcia-Jimenez, U. Bustince, E. Hüllermeier, R. Mesiar, N.R. Pal, A. Pradera, IEEE Transactions on Fuzzy Systems 23 (2015) 1259–1273.
LibreCat
 
[275]
2015 | Conference Paper | LibreCat-ID: 10234
Case-Based Reasoning Research and Development
E. Hüllermeier, M. Minor, in: In Proceedings 23rd International Conference on Case-Based Reasoning (ICCBR 2015) LNAI 9343, Springer, 2015.
LibreCat
 
[274]
2015 | Conference Paper | LibreCat-ID: 10239
Superset Learning Based on Generalized Loss Minimization
E. Hüllermeier, W. Cheng, in: In Proceedings European Conference on Machine Learning and Knowledge Discovery in Databases (ECML/PKDD), 2015, pp. 260–275.
LibreCat
 
[273]
2015 | Conference Paper | LibreCat-ID: 10241
Online Rank Elicitation for Plackett-Luce: A Dueling Bandits Approach
B. Szörényi, R. Busa-Fekete, A. Paul, E. Hüllermeier, in: In Advances in Neural Information Processing Systems 28 (NIPS 2015), 2015, pp. 604–612.
LibreCat
 
[272]
2015 | Conference Paper | LibreCat-ID: 10246
Depth estimation in monocular images: Quantitative versus qualitative approaches
R. Ewerth, A. Balz, J. Gehlhaar, K. Dembczynski, E. Hüllermeier, in: Proceedings 25. Workshop Computational Intelligence, 2015, pp. 235–240.
LibreCat
 
[271]
2014 | Journal Article | LibreCat-ID: 10297
Ausgewählte Beiträge des GMA-Fachausschusses 5.14
F. Hoffmann, E. Hüllermeier, A. Kroll, Computational Intelligence Automatisierungstechnik 62 (2014) 685–686.
LibreCat
 
[270]
2014 | Journal Article | LibreCat-ID: 10312
Protein Sub-Cellular Localization Prediction for Special compartments via Optimized Time Series Distances
M. Mernberger, M. Moog, S. Stork, S. Zauner, U.G. Maier, E. Hüllermeier, J. Bioinformatics and Computational Biology 12 (2014).
LibreCat
 
[269]
2014 | Journal Article | LibreCat-ID: 10317
Extended Graph-Based Models for Enhanced Similarity Search in Cavbase
T. Krotzky, T. Fober, E. Hüllermeier, G. Klebe, IEEE/ACM Trans. Comput. Biology Bioinform. 11 (2014) 878–890.
LibreCat
 
[268]
2014 | Conference Paper | LibreCat-ID: 10247
PAC Rank Elicitation through Adaptive Sampling of Stochastic Pairwise Preferences
R. Busa-Fekete, B. Szörényi, E. Hüllermeier, in: Proceedings AAAI 2014, Quebec, Canada, 2014, pp. 1701–1707.
LibreCat
 
[267]
2014 | Conference Paper | LibreCat-ID: 10254
Machine Learning and Knowledge Discovery in Databases-European Conf. ECML/PKDD, Nancy, France
T. Calders, F. Esposito, E. Hüllermeier, R. Meo, in: Proceedings, Parts I-III. Lecture Notes in Computer Science, Springer, 2014, pp. 8724–8726.
LibreCat
 
[266]
2014 | Journal Article | LibreCat-ID: 16079
Correlation-based embedding of pairwise score data
M. Strickert, K. Bunte, F.M. Schleif, E. Hüllermeier, Neurocomputing 141 (2014) 97–109.
LibreCat
 
[265]
2014 | Conference Paper | LibreCat-ID: 10248
A Survey of Preference-Based Online Learning with Bandit Algorithms
R. Busa-Fekete, E. Hüllermeier, in: Proceedings Int. Conf. on Algorithmic Learning Theory (ALT), Bled, Slovenia, 2014, pp. 18–39.
LibreCat
 
[264]
2014 | Conference Paper | LibreCat-ID: 10250
The Choquet kernel for monotone data
A. Fallah Tehrani, M. Strickert, E. Hüllermeier, in: Proceedings ESANN , Bruges, Belgium, 2014.
LibreCat
 
[263]
2014 | Journal Article | LibreCat-ID: 10298
Guest editors`introduction:special issue of the ECML/PKDD 2014 journal track
T. Calders, F. Esposito, E. Hüllermeier, R. Meo, Data Min. Knowledge Discovery 28 (2014) 1129–1133.
LibreCat
 
[262]
2014 | Journal Article | LibreCat-ID: 10313
Guest editors`introduction:special issue of the ECML/PKDD 2014 journal track
T. Calders, F. Esposito, E. Hüllermeier, R. Meo, Machine Learning 97 (2014) 1–3.
LibreCat
 
[261]
2014 | Journal Article | LibreCat-ID: 10318
Identification of Functionally Releated Enzymes by Learning to Rank Methods
M. Stock, T. Fober, E. Hüllermeier, S. Glinca, G. Klebe, T. Pahikkala, A. Airola, B. De Baets, W. Wageman, IEEE/ACM Trans. Comput. Biology Bioinform. 11 (2014) 1157–1169.
LibreCat
 
[260]
2014 | Journal Article | LibreCat-ID: 16082
Reliable classification: Learning classifiers that distinguish aleatoric and epistemic uncertainty
R. Senge, S. Bösner, K. Dembczynski, J. Haasenritter, O. Hirsch, N. Donner-Banzhoff, E. Hüllermeier, Information Sciences 255 (2014) 16–29.
LibreCat
 
[259]
2014 | Conference Paper | LibreCat-ID: 10249
Mining Rank Data
S. Henzgen, E. Hüllermeier, in: Proceedings Discovery Science, Bled,Slovenia , 2014, pp. 123–134.
LibreCat
 
[258]
2014 | Conference Paper | LibreCat-ID: 10251
Learning Solution Similarity in Preference-Based CBR
A. Abdel-Aziz, M. Strickert, E. Hüllermeier, in: Proceedings Int. Conf. Case-Based Reasoning (ICCBR), Cork, Ireland, 2014, pp. 17–31.
LibreCat
 
[257]
2014 | Journal Article | LibreCat-ID: 10299
Visualization of evolving fuzzy rule-based systems
S. Henzgen, M. Strickert, E. Hüllermeier, Evolving Systems 5 (2014) 175–191.
LibreCat
 
[256]
2014 | Journal Article | LibreCat-ID: 10314
Preference-Based Reinforcement Learning: evolutionary direct policy search using a preference-based racing algorithm
R. Busa-Fekete, B. Szörényi, P. Weng, W. Cheng, E. Hüllermeier, Machine Learning 97 (2014) 327–351.
LibreCat
 
[255]
2014 | Journal Article | LibreCat-ID: 16064
Learning from imprecise and fuzzy observations: Data disambiguation through generalized loss minimization
E. Hüllermeier, International Journal of Approximate Reasoning 55 (2014) 1519–1534.
LibreCat
 
[254]
2014 | Journal Article | LibreCat-ID: 16069
Visualization of evolving fuzzy-rule-based systems
S. Henzgen, M. Strickert, E. Hüllermeier, Evolving Systems 5 (2014) 175–191.
LibreCat
 
[253]
2014 | Journal Article | LibreCat-ID: 16083
The comprehensive diagnostic study is suggested as a design to model the diagnostic process
N. Donner-Banzhoff, J. Haasenritter, E. Hüllermeier, A. Viniol, S. Bösner, A. Becker, Journal of Clinical Epidemiology 2 (2014) 124–132.
LibreCat
 
[252]
2014 | Conference Paper | LibreCat-ID: 10295
Preference Learning (Dagstuhl Seminar 14101) Dagstuhl Reports
J. Fürnkranz, E. Hüllermeier, C. Rudin, R. Slowinski, S. Sanner, in: 2014, pp. 1–27.
LibreCat
 
[251]
2014 | Journal Article | LibreCat-ID: 10308 LibreCat
 
[250]
2014 | Journal Article | LibreCat-ID: 10310
Correlation-based embedding of pairwise score data
M. Strickert, K. Bunte, F.-M. Schleif, E. Hüllermeier, Neurocomputing 141 (2014) 97–109.
LibreCat
 
[249]
2014 | Journal Article | LibreCat-ID: 10315
Dependent binary relevance models for multi-label classification
E. Montanés, R. Senge, J. Barranquero, J.R. Quevedo, J.J. Del Coz, E. Hüllermeier, Pattern Recognition 47 (2014) 1494–1508.
LibreCat
 
[248]
2014 | Journal Article | LibreCat-ID: 16046
Preference-based learning of ideal solutions in TOPSIS-like decision models
M. Agarwal, A. Fallah Tehrani, E. Hüllermeier, Journal of Multi-Criteria Decision Analysis 22 (2014).
LibreCat
 
[247]
2014 | Journal Article | LibreCat-ID: 16060
Extended graph-based models for enhanced similarity search in Cabase
T. Krotzky, T. Fober, E. Hüllermeier, G. Klebe, IEEE/ACM Transactions of Computational Biology and Bioinformatics 11 (2014) 878–890.
LibreCat
 
[246]
2014 | Journal Article | LibreCat-ID: 16077
Preference-based reinforcement learning: evolutionary direct policy search using a preference-based racing algorithm.
R. Busa-Fekete, B. Szörenyi, P. Weng, W. Cheng, E. Hüllermeier, Machine Learning 97 (2014) 327–351.
LibreCat
 
[245]
2014 | Journal Article | LibreCat-ID: 10296
Survival analysis on data streams: Analyzing temporal events in dynamically changing environments
A. Shaker, E. Hüllermeier, Applied Mathematics and Computer Science 24 (2014) 199–212.
LibreCat
 
[244]
2014 | Journal Article | LibreCat-ID: 10309 LibreCat
 
[243]
2014 | Journal Article | LibreCat-ID: 10311
Reliable classification: Learning classifiers that distinguish aleatoric and epistemic uncertainty
R. Senge, S. Bösner, K. Dembczynski, J. Haasenritter, O. Hirsch, N. Donner-Banzhoff, E. Hüllermeier, Information Sciences 255 (2014) 16–29.
LibreCat
 
[242]
2014 | Journal Article | LibreCat-ID: 10316
Open challenges for data stream mining research
G. Krempl, I. Zliobaite, D. Brzezinski, E. Hüllermeier, M. Last, V. Lemaire, T. Noack, A. Shaker, S. Sievi, M. Spiliopoulou, J. Stefanowski, SIGKDD Explorations 16 (2014) 1–10.
LibreCat
 
[241]
2014 | Conference Paper | LibreCat-ID: 10253
Dyad Ranking Using A Bilinear Plackett-Luce Model
D. Schäfer, E. Hüllermeier, in: Proceedings Lernen-Wissensentdeckung-Adaptivität (LWA), Aachen, Germany, 2014, pp. 32–33.
LibreCat
 
[240]
2014 | Journal Article | LibreCat-ID: 16078
Open challenges for data stream mining research
G. Krempl, I. Zliobaite, D. Brzezinski, E. Hüllermeier, M. Last, V. Lemaire, T. Noack, A. Shaker, S. Sievi, M. Spiliopoulou, J. Stefanowski, SIGKDD Explorations 16 (2014) 1–10.
LibreCat
 
[239]
2014 | Journal Article | LibreCat-ID: 16080
Survival analysis on data streams: Analyzing temporal events in dynamically changing environments
A. Shaker, E. Hüllermeier, International Journal of Applied Mathematics and Computer Science 24 (2014) 199–212.
LibreCat
 
[238]
2013 | Conference Paper | LibreCat-ID: 13190
Recovery analysis for adaptive learning from non-stationary data streams
A. Shaker, E. Hüllermeier, in: R. Burduk, K. Jackowski, M. Kurzynski, W. Wozniak, A. Zolnierek (Eds.), In Proceedings CORES 2013, 8th International Conference on Computer Recognition Systems, Wroclaw, Poland, Springer, 2013, pp. 289–298.
LibreCat
 
[237]
2013 | Conference Paper | LibreCat-ID: 13119
Rule chains for visualizing evolving fuzzy rule-based systems
S. Henzgen, M. Strickert, E. Hüllermeier, in: R. Burduk, K. Jackowski, M. Kurzynski, M. Wozniak, A. Zolnierek (Eds.), In Proceedings CORES 2013, 8th International Conference on Computer Recognition Systems, Wroclaw, Poland, Springer, 2013, pp. 279–288.
LibreCat
 
[236]
2013 | Journal Article | LibreCat-ID: 16081
Chest pain in primary care: is the localization of pain diagnostically helpful in the critical evaluation of patients? A cross sectional study.
S. Bösner, K. Bönisch, J. Haasenritter , P. Schlegel, E. Hüllermeier, N. Donner-Banzhoff, BMC Family Practice 14 (2013) 154–162.
LibreCat
 
[235]
2013 | Journal Article | LibreCat-ID: 16086
Diagnose im Kontext - eine erweiterte Perspektive
J. Haasenritter, A. Viniol, A. Becker, S. Bösner, E. Hüllermeier, R. Senge, N. Donner-Banzhoff, Zeitschrift Für Evidenz, Fortbildung Und Qualität Im Gesundheitswesen (ZEFQ) 107 (2013) 585–591.
LibreCat
 
[234]
2013 | Conference Paper | LibreCat-ID: 15759
A nearest neigbor approach to label ranking based on generalized labelwise loss minimization
W. Cheng, E. Hüllermeier, in: In Proceedings M-PREF`13, 7th Multidisciplinary Workshop on Advances in Preference Handling Beijing, China, 2013.
LibreCat
 
[233]
2013 | Conference Paper | LibreCat-ID: 15761
On the problem of error propagation in classier chains for multi-label classification. Data Analysis, Machine Learning and Knowledge Discovery
R. Senge, J.J. del Coz, E. Hüllermeier, in: L. Schmidt-Thieme, M. Spiliopoulou (Eds.), In Proceedings of GFKL-2012, 36th Annual Conference of the German Classification Society, Studies in Classification, Data Analysis and Knowledge Organization, Hildesheim, Germany , Springer, 2013.
LibreCat
 
[232]
2013 | Conference Paper | LibreCat-ID: 13115
Learning to rank lexical substitutions
G. Szarvas, R. Busa-Fekete, E. Hüllermeier, in: In Proceedings EMNLP-2013 Conference on Empirical Methods in Natural Language Processing, Seattle, USA, 2013.
LibreCat
 
[231]
2013 | Conference Paper | LibreCat-ID: 15755
Preference-based evolutionary optimization using generalized racing algorithms
R. Busa-Fekete, T. Fober, E. Hüllermeier, in: F. Hoffmann, E. Hüllermeier (Eds.), In Proceedings 23th Workshop Computational Intelligence, Dortmund Germany, KIT Scientific Publishing, 2013, pp. 237–246.
LibreCat
 
[230]
2013 | Journal Article | LibreCat-ID: 16044
Multilabel classification for exploiting cross-resistance information in HIV-1 drug resistence prediction
D. Heider, R. Senge, W. Cheng, E. Hüllermeier, Bioinformatics 29 (2013) 1946–1952.
LibreCat
 
[229]
2013 | Conference Paper | LibreCat-ID: 13116
Optimizing the F-measure in multi-label classification: Plug-in rule approach versus structured loss minimization
K. Dembczynski, A. Jachnik, W. Kotlowski, W. Waegeman, E. Hüllermeier, in: S. Dasgupta, D. McAllester (Eds.), In Proceedings ICML-2013, 30th International Conference on Machine Learning, Atlanta, USA, 2013, pp. 1130–1138.
LibreCat
 
[228]
2013 | Conference Paper | LibreCat-ID: 15756
Weighted rank correlation measures based on fuzzy order relations
S. Henzgen, E. Hüllermeier, in: F. Hoffmann, E. Hüllermeier (Eds.), In Proceedings 23th Workshop Computational Intelligence, Dortmund Germany, KIT Scientific Publishing, 2013, pp. 227–236.
LibreCat
 
[227]
2013 | Conference Paper | LibreCat-ID: 15763
Local clique merging: An extension of the maximum common subgraph measure with applications in structural bioinformatics, Algorithms from and for Nature and Life
T. Fober, G. Klebe, E. Hüllermeier, in: B. Lausen, D. Van den Poel, A. Ultsch (Eds.), In Proceedings GFKL-2011, Conference of the German Classification Society, Frankfurt Germany, Springer, 2013, pp. 279–286.
LibreCat
 
[226]
2013 | Conference Paper | LibreCat-ID: 15112
Ordinal Choquistic regression
A. Fallah Tehrani, E. Hüllermeier, in: J. Montero, G. Pasi, D. Ciucci (Eds.), In Proceedings EUSFLAT-2013 8th International Conference on the European Society for Fuzzy Logic and Technology, Milano, Italy, Atlantis Press, 2013.
LibreCat
 
[225]
2013 | Conference Paper | LibreCat-ID: 13117
Top-k selection based on adaptive sampling of noisy preferences
R. Busa-Fekete, B. Szoreny, P. Weng, W. Cheng, E. Hüllermeier, in: S. Dasgupta, D. McAllester (Eds.), In Proceedings ICML-2013, 30th International Conference on Machine Learning, Atlanta, USA, 2013, pp. 1094–1102.
LibreCat
 
[224]
2013 | Conference Paper | LibreCat-ID: 15113
Fuzzy Pattern Trees as an alternative to rule-based fuzzy systems: Knowledge-driven, data-driven and hybrid modeling of colour yield in poyester dyeing, Edmonton, Canada
N. Nasiri, T. Fober, R. Senge, E. Hüllermeier, in: In Proceedings IFSA-2013 World Congress of the International Fuzzy Systems Association, Edmonton, Canada, 2013, pp. 715–721.
LibreCat
 
[223]
2013 | Conference Paper | LibreCat-ID: 15752
Labelwise versus pairwise decomposition in label ranking
W. Cheng, S. Henzgen, E. Hüllermeier, in: In Proceedings Workshop LWA-2009, Lernen-Wissensentdeckung-Adaptivität, Bamberg, Germany, 2013, pp. 129–136.
LibreCat
 
[222]
2013 | Conference Paper | LibreCat-ID: 15757
Interactive Q-learning with ordinal rewards and unreliable tutor
P. Weng, R. Busa-Fekete, E. Hüllermeier, in: In Proceedings ECML/PKDD-Workshop on Reinforcement Learning from Generalized Feedback:Beyond Numerical Rewards, Prague, 2013.
LibreCat
 
[221]
2013 | Journal Article | LibreCat-ID: 16123
Evolving fuzzy pattern trees for binary classification on data streams
A. Shaker, R. Senge, E. Hüllermeier, Information Sciences 220 (2013) 34–45.
LibreCat
 
[220]
2013 | Conference Paper | LibreCat-ID: 13118
Preference-based CBR: General ideas and basic principles
E. Hüllermeier, W. Cheng, in: F. Rossi (Ed.), In Proceedings IJCAI-13, 23rd International Joint Conference on Artificial Intelligence, Beijing, China, AAAI Press, 2013, pp. 3012–3016.
LibreCat
 
[219]
2013 | Conference Paper | LibreCat-ID: 15753
Rectifying classifier chains for multi-label classification, Bamberg, Germany
R. Senge, J. del Coz, E. Hüllermeier, in: In Proceedings Workshop LWA-2009, Lernen-Wissensentdeckung-Adaptivität, Bamberg, Germany, 2013, pp. 151–158.
LibreCat
 
[218]
2013 | Conference Paper | LibreCat-ID: 15758
Preference-based evolutionary direct policy search
R. Busa-Fekete, B. Szörenyi, P. Weng, E. Hüllermeier, in: In Proceedings ECML/PKDD-Workshop on Reinforcement Learning from Generalized Feedback:Beyond Numerical Rewards, Prague, 2013.
LibreCat
 
[217]
2013 | Conference Paper | LibreCat-ID: 15760
Event history analysis on data streams: An application to earthquake occurence
A. Shaker, E. Hüllermeier, in: G. Krempl, I. Zliobaite, Y. Wang, G. Forman (Eds.), In Proceedings RealStream 2013, 1st International Workshop on Real-World Challenges for Data Stream Mining, Prague, Czech Republic, 2013, pp. 38–41.
LibreCat
 
[216]
2012 | Book Chapter | LibreCat-ID: 10153
Fuzzy rules in data mining: From fuzzy associations to gradual dependencies
E. Hüllermeier, in: E. Trillas, P.P. Bonissone, L. Magdalena, J. Kacprzyk (Eds.), Combining Experimentation and Theory, Springer, 2012, pp. 123–135.
LibreCat
 
[215]
2012 | Journal Article | LibreCat-ID: 16093
Comparing fuzzy partitions: A generalization of the Rand index and related measures
E. Hüllermeier, M. Rifqi, S. Henzgen, R. Senge, IEEE Transactions on Fuzzy Systems 20 (2012) 546–556.
LibreCat
 
[214]
2012 | Conference Paper | LibreCat-ID: 15754
Learning conditional lexicographic preference trees
M. Bräuning, E. Hüllermeier, in: In Workshops on Preference Learning at ECAI, European Conference on Artiticial Intelligence, Montpellier, France, 2012.
LibreCat
 
[213]
2012 | Conference Paper | LibreCat-ID: 13191
Probability estimation for mulit-class classification based on label ranking
W. Cheng, E. Hüllermeier, in: Proceedings ECML/PKDD-2012, European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, Bristol, UK, 2012.
LibreCat
 
[212]
2012 | Journal Article | LibreCat-ID: 16087
Preference-based reinforcement learning: A formal framework and a policy iteration algorithm
J. Fürnkranz, E. Hüllermeier, W. Cheng, S.H. Park, Machine Learning 89 (2012) 123–156.
LibreCat
 
[211]
2012 | Journal Article | LibreCat-ID: 16094
Fuzzy Pattern Trees: Ein alternativer Ansatz zur Fuzzy-Modellierung
R. Senge, T. Fober, N. Nasiri, E. Hüllermeier, At-Atomatisierungstechnik 60 (2012) 622–629.
LibreCat
 
[210]
2012 | Conference Paper | LibreCat-ID: 13192
Consistent multilabel ranking through univariate loss minimization
K. Dembczynski, W. Kotlowski, E. Hüllermeier, in: J. Langford, J. Pineau (Eds.), In Proceedings ICML-2012,  International Conference on Machine Learning, Edinburgh, Scotland, 2012.
LibreCat
 
[209]
2012 | Conference Paper | LibreCat-ID: 15299
GPU-based cloud computing for comparing the structure of protein binding sites
M. Leinweber, L. Baumgärtner, M. Mernberger, T. Fober, E. Hüllermeier, G. Klebe, B. Freisleben, in: In Proceedings IEEE Conference on Digital Ecosystem Technologies-Complex Environment Engineering Campione D`Italia, Italy, 2012.
LibreCat
 
[208]
2012 | Journal Article | LibreCat-ID: 16088
On label dependence and loss minimization in multi-label classification
K. Dembczynski, W. Waegeman, W. Cheng, E. Hüllermeier, Machine Learning 88 (2012) 5–45.
LibreCat
 
[207]
2012 | Journal Article | LibreCat-ID: 16090
A formal and empirical analysis of the fuzzy gamma rank correlation coefficient
M. Dolorez Ruiz, E. Hüllermeier, Information Sciences 206 (2012) 1–17.
LibreCat
 
[206]
2012 | Conference Paper | LibreCat-ID: 13193
An analysis of chaining in multi-label classification
K. Dembczynski, W. Waegeman, E. Hüllermeier, in: In Proceedings ECAI-2012, 20th European Conference on Artificial Inteligence, Montpellier, France , IOS Press, 2012, pp. 294–299.
LibreCat
 
[205]
2012 | Book Chapter | LibreCat-ID: 15396
Efficient learning of classifiers based on the 2-additive Choquet integral
E. Hüllermeier, A. Fallah Tehrani, in: C. Moewes, A. Nürnberger (Eds.), Computational Intelligence in Intelligent Data Analysis, Springer, 2012, pp. 17–30.
LibreCat
 
[204]
2012 | Journal Article | LibreCat-ID: 16084
Learning monotone nonlinear models using the Choquet integral
A. Fallah Tehrani, W. Cheng, K. Dembczynski, E. Hüllermeier, Machine Learning 89 (2012) 183–211.
LibreCat
 
[203]
2012 | Journal Article | LibreCat-ID: 16089
IBL Streams: A system for instance-based classification and regression on data streams
A. Shaker, E. Hüllermeier, Evolving Systems 3 (2012) 235–249.
LibreCat
 
[202]
2012 | Journal Article | LibreCat-ID: 16091
Preference learning using the Choquet integral: The case of multipartite ranking
A. Fallah Tehrani, W. Cheng, E. Hüllermeier, IEEE Transactions on Fuzzy Systems 20 (2012) 1102–1113.
LibreCat
 
[201]
2012 | Conference Paper | LibreCat-ID: 13120
Label ranking with partial abstention based on thresholded probalistic models
W. Cheng, E. Hüllermeier, W. Waegeman, V. Welker, in: In Proceedings NIPS-2012, 26th Annual Conference on Neural Information Processing Systems, Lake Tahoe, Nevada, USA, 2012.
LibreCat
 
[200]
2012 | Conference Paper | LibreCat-ID: 15114
On the VC dimension of the Choquet integral
E. Hüllermeier, A. Fallah Tehrani, in: In Proceedings IPMU-2012 14th International Conference on Information Processing and Management  of Uncertainty in Knowledge-Based Systems, Part 1, Catania, Italy, 2012.
LibreCat
 
[199]
2012 | Journal Article | LibreCat-ID: 16085
Grouping, overlap and generalized bientropic functions for fuzzy modeling of pairwise comparisons
H. Bustince, M. Pagola, R. Mesiar, E. Hüllermeier, F. Herrera, IEEE Transactions on Fuzzy Systems 20 (2012) 405–415.
LibreCat
 
[198]
2012 | Journal Article | LibreCat-ID: 16092
Fingerprint kernels for protein structure comparison
T. Fober, M. Mernberger, G. Klebe, E. Hüllermeier, Molecular Informatics 31 (2012) 443–452.
LibreCat
 
[197]
2011 | Conference Paper | LibreCat-ID: 13195
Preference-based policy iteration: Leveraging preference learning for reinforcement learning
W. Cheng, J. Fuernkranz, E. Hüllermeier, S.H. Park, in: Proceedings ECML/PKDD-2011, European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, Athens, Greece, , 2011.
LibreCat
 
[196]
2011 | Conference Paper | LibreCat-ID: 15115
Comparing methods for knowledge-driven and data-driven fuzzy modeling: A case study in textile industry
M. Nasiri, E. Hüllermeier, R. Senge, E. Lughofer, in: In Proceedings IFSA-2011 World Congress of the International Fuzzy Systems Association, Surabaya and Bali Island, Indonesia, 2011, p. RW-103-1-6.
LibreCat
 
[195]
2011 | Journal Article | LibreCat-ID: 16149
Superposition and alignment of labeled point clouds
T. Fober, S. Glinca, G. Klebe, E. Hüllermeier, IEEE/ACM Transactions on Computational Biology and Bioinformatics 8 (2011) 1653–1666.
LibreCat
 
[194]
2011 | Conference Paper | LibreCat-ID: 13196
Learning from label preferences
J. Fürnkranz, E. Hüllermeier, in: T. Elomaa, J. Hollmen, H. Mannila (Eds.), In Proceedings DS-2011, 14th International  Conference on Discovery Science, Number 6926 in LNAI, Springer, 2011, pp. 2–17.
LibreCat
 
[193]
2011 | Conference Paper | LibreCat-ID: 13588
Bipartite ranking through minimization of univariate loss
W. Kotlowski, K. Dembczynski, E. Hüllermeier, in: In Proceedings ICML-2011, 28th International Conference on Machine Learning, Washington, USA, 2011.
LibreCat
 
[192]
2011 | Conference Paper | LibreCat-ID: 15116
On-line redundancy deletion in evolving fuzzy regression models using a fuzzy inclusion measure
E. Lughofer, E. Hüllermeier, in: S. Galichet, J. Montero, G. Mauris (Eds.), In Proceedings EUSFLAT-2011 7th International Conference on the European Society for Fuzzy Logic and Technology, Aix-Les-Bains, France, 2011, pp. 380–387.
LibreCat
 
[191]
2011 | Journal Article | LibreCat-ID: 16119
Multivariate modeling to identify patterns in clinical data: The example of chest pain
O. Hirsch, S. Bösner, E. Hüllermeier, R. Senge, K. Dembczynski, N. Donner-Banzhoff, BMC Medical Research Methodology 11 (2011).
LibreCat
 
[190]
2011 | Journal Article | LibreCat-ID: 16126
Preferences in AL: An overview
C. Domshlak, E. Hüllermeier, S. Kaci, H. Prade, Artificial Intelligence 175 (2011) 1037–1052.
LibreCat
 
[189]
2011 | Conference Paper | LibreCat-ID: 15762
Joint mode estimation in multi-label classification by chaining
K. Dembczynski, W. Waegeman, E. Hüllermeier, in: In Proceedings ECML Workshop on Collective Inference and Learning on Structured Data, Athens, Greece, 2011.
LibreCat
 
[188]
2011 | Conference Paper | LibreCat-ID: 13197
Learning monotone nonlinear models using the Choquet integral
A. Fallah Tehrani, W. Cheng, K. Dembczynski, E. Hüllermeier, in: In Proceedings ECML/PKDD-2011, European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, Athens, Greece, 2011.
LibreCat
 
[187]
2011 | Conference Paper | LibreCat-ID: 15117
Choquistic regression: Generalizing logistic regression using the Choquet integral
A. Fallah Tehrani, W. Cheng, E. Hüllermeier, in: In Proceedings EUSFLAT-2011 7th International Conference on the European Society for Fuzzy Logic and Technology, Aix-Les-Bains, France, 2011, pp. 868–875.
LibreCat
 
[186]
2011 | Journal Article | LibreCat-ID: 16153
Top-down induction of fuzzy pattern trees
R. Senge, E. Hüllermeier, IEEE Transactions on Fuzzy Systems 19 (2011) 241–252.
LibreCat
 
[185]
2011 | Conference Paper | LibreCat-ID: 13198
Preference-based CBR: First steps toward a methodological framework
E. Hüllermeier, P. Schlegel, in: A. Ram, N. Wiratunga (Eds.), In Proceedings ICCBR-2011, 19th International Conference on Case-Based Reasoning, Number 6880 in LNAI, Springer, 2011, pp. 77–91.
LibreCat
 
[184]
2011 | Conference Paper | LibreCat-ID: 15764
Prediction of protein localization for specialized compartments using time series kernels
M. Mernberger, D. Moog, S. Stork, S. Zauner, U. Maier, E. Hüllermeier, in: In Proceedings GCB-2011 German Conference on Bioinformatics Munich, Germany, 2011.
LibreCat
 
[183]
2011 | Journal Article | LibreCat-ID: 16147
Fuzzy machine learning and data mining
E. Hüllermeier, WIREs Data Mining and Knowledge Discovery 1 (2011) 269–283.
LibreCat
 
[182]
2011 | Conference Paper | LibreCat-ID: 13194
An exact algorithm for F-measure maximization
K. Dembczynski, W. Waegeman, W. Cheng, E. Hüllermeier, in: In Proceedings NIPS-2011, 25th Annual Conference on Neural Information Processing Systems, Granada, Spain, 2011.
LibreCat
 
[181]
2011 | Journal Article | LibreCat-ID: 16148
SEGA: Semi-global graph alignment for structure-based protein comparison
M. Mernberger, G. Klebe, E. Hüllermeier, IEEE/ACM Transactions of Computational Biology and Bioinformatics 8 (2011) 1330–1343.
LibreCat
 
[180]
2011 | Journal Article | LibreCat-ID: 16150
Fuzzy sets in machine learning and data mining
E. Hüllermeier, Applied Soft Computing Journal (2011) 1493–1505.
LibreCat
 
[179]
2010 | Conference Paper | LibreCat-ID: 13594
Predicting partial orders: Ranking with abstention
W. Cheng, M. Rademaker, B. De Beats, E. Hüllermeier, in: In Proceedings ECML/PKDD-2010, European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, ,Bareclona, Spain, 2010.
LibreCat
 
[178]
2010 | Book Chapter | LibreCat-ID: 15297
An Analysis of the FURIA algorithm for fuzzy rule induction
E. Hüllermeier, J. Hühn, in: J. Koronacki, Z.W. Ras, S.T. Wierzchon, J. Kacprzyk (Eds.), Advances in Machine Learning I: Dedicated to the Memory of Professor Ryszard S.Michalski, Springer, 2010, pp. 321–344.
LibreCat
 
[177]
2010 | Journal Article | LibreCat-ID: 16151 LibreCat
 
[176]
2010 | Conference Paper | LibreCat-ID: 13590
Label ranking based on the Plackett-Luce model
W. Cheng, K. Dembczynski, E. Hüllermeier, in: J. Fürnkranz, T. Joachims (Eds.), In Proceedings ICML-2010, 27th International Conference on Machine Learning, Haifa, Israel, 2010, pp. 215–222.
LibreCat
 
[175]
2010 | Book Chapter | LibreCat-ID: 15298
Preference Learning: An Introduction
J. Fürnkranz, E. Hüllermeier, in: J. Fürnkranz, E. Hüllermeier (Eds.), Preference Learning, Springer, 2010, pp. 1–18.
LibreCat
 
[174]
2010 | Journal Article | LibreCat-ID: 16121
GARLig: A fully automated tool for subset selection of large fragment spaces via a self-adaptive genetic algorithm
P. Pfeffer, T. Fober, E. Hüllermeier, G. Klebe, Journal of Chemical Information and Modeling 50 (2010) 1644–1659.
LibreCat
 
[173]
2010 | Journal Article | LibreCat-ID: 16152
On predictive accuracy and risk minimization in pairwise label ranking
E. Hüllermeier, J. Fürnkranz, Journal of Computer and System Sciences 76 (2010) 49–62.
LibreCat
 
[172]
2010 | Conference Paper | LibreCat-ID: 13589
Bayes optimal multilabel classification via probalistic classifier chains
K. Dembczynski, W. Cheng, E. Hüllermeier, in: J. Fürnkranz, T. Joachims (Eds.), In Proceedings ICML-2010, 27th International Conference on Machine Learning, Haifa, Israel, 2010, pp. 279–286.
LibreCat
 
[171]
2010 | Conference Paper | LibreCat-ID: 13591
Graded multi-label classification: The ordinal case
W. Cheng, K. Dembczynski, E. Hüllermeier, in: J. Fürnkranz, T. Joachims (Eds.), In Proceedings ICML-2010, 27th International Conference on Machine Learning, Haifa, Israel, 2010.
LibreCat
 
[170]
2010 | Conference Paper | LibreCat-ID: 13597
Uncertainty in clustering and classification
E. Hüllermeier, in: In Proceedings SUM 2010, International Conference on Scalable Uncertainty Management , Springer, 2010, pp. 16–19.
LibreCat
 
[169]
2010 | Conference Paper | LibreCat-ID: 15118
Similarity measures for protein structures based on fuzzy histogram comparison
T. Fober, E. Hüllermeier, in: In Proceedings WCCI-2010, World Congress on Computational Intelligence, Barcelona, Spain, 2010.
LibreCat
 
[168]
2010 | Conference Paper | LibreCat-ID: 13593
Regret analysis for performance metrics in multi-label classification: The case of Hamming and subset zero-one loss
K. Dembczynski, W. Waegeman, W. Cheng, E. Hüllermeier, in: In Proceedings ECML/PKDD-2010, European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, ,Bareclona, Spain, 2010.
LibreCat
 
[167]
2010 | Conference Paper | LibreCat-ID: 15119
Pattern trees for regression and fuzzy systems modeling
R. Senge, E. Hüllermeier, in: In Proceedings WCCI-2010, World Congress on Computational Intelligence, Barcelona, Spain, 2010.
LibreCat
 
[166]
2010 | Conference Paper | LibreCat-ID: 15765
Efficient similarity retrieval for protein binding sites based on histogram comparison
T. Fober, M. Mernberger, G. Klebe, E. Hüllermeier, in: In Proceedings GCB-2010 German Conference on Bioinformatics Braunschweig, Germany, 2010, pp. 51–60.
LibreCat
 
[165]
2010 | Conference Paper | LibreCat-ID: 15772
On label dependence in multi-label classification
K. Dembczynski, W. Waegeman, W. Cheng, E. Hüllermeier, in: In Proceedings MLD-2010, 2nd International Workshop on Learning from Multi-Label Data, Haifa, Israel, 2010.
LibreCat
 
[164]
2009 | Conference Paper | LibreCat-ID: 15196
A fuzzy variant of the Rand index for comparing clustering structures
E. Hüllermeier, M. Rifqi, in: In Proceedings IFSA / EUSFLAT-2009 World Congress of  the Fuzzy Systems Association, Lissabon, Portugal, 2009, pp. 1294–1298.
LibreCat
 
[163]
2009 | Journal Article | LibreCat-ID: 16163
FR3: A fuzzy rule learner for inducing reliable classifiers
J. Hühn, E. Hüllermeier, IEEE Transactions on Fuzzy Systems 17 (2009) 138–149.
LibreCat
 
[162]
2009 | Conference Paper | LibreCat-ID: 15773
A simple instance-based approach to multilabel classification using the Mallows model
W. Cheng, E. Hüllermeier, in: In Proceedings MLD-2009 1st  International Workshop on Learning from Multi-Label Data, Bled, Slovenia, 2009, pp. 28–38.
LibreCat
 
[161]
2009 | Conference Paper | LibreCat-ID: 15778
Extension and empirical comparison of graph-kernels for the analysis of protein active sites
T. Fober, M. Mernberger, V. Melnikov, R. Moritz, E. Hüllermeier, in: In Proceedings Workshop LWA-2009, Lernen-Wissensentdeckung-Adaptivität, Darmstadt, Germany, 2009, pp. 30–36.
LibreCat
 
[160]
2009 | Conference Paper | LibreCat-ID: 13595
Decision tree and instance-based learning for label ranking
W. Cheng, J. Hühn, E. Hüllermeier, in: In Proceedings ICML-2009, 26th International Conference on Machine Learning, Montreal, Canada, 2009, pp. 161–168.
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[159]
2009 | Conference Paper | LibreCat-ID: 15774
Learning pattern tree classifiers using a co-evolutionary algorithm
R. Senge, E. Hüllermeier, in: F. Hoffmann, E. Hüllermeier (Eds.), In Proceedings 19th Workshop Computational Intelligence, Dortmund Germany, KIT Scientific Publishing, 2009, pp. 22–33.
LibreCat
 
[158]
2009 | Conference Paper | LibreCat-ID: 13596
Binary decomposition methods for multipartite ranking
J. Fürnkranz, E. Hüllermeier, S. Vanderlooy, in: In Proceedings ECML/PKDD-2009, European Conference on Machine Learning and Principles and Knowledge Discovery in Databases, Bled Sloveniaery in Databases, Bled, Slovenia, 2009.
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[157]
2009 | Conference Paper | LibreCat-ID: 15775
Graph-kernels for the comparative analysis of protein active sites
T. Fober, M. Mernberger, R. Moritz, E. Hüllermeier, in: I. Grosse, S. Neumann, S. Posch, F. Schreiber, P.. Stadler (Eds.), In Proceedings GCB-2009 German Conference on Bioinformatics Halle (Saale), Germany, 2009, pp. 21–31.
LibreCat
 
[156]
2009 | Journal Article | LibreCat-ID: 16158
FURIA: An Algorithm for unordered fuzzy rule induction
J. Hühn, E. Hüllermeier, Data Mining and Knowledge Discovery 19 (2009) 293–319.
LibreCat
 
[155]
2009 | Journal Article | LibreCat-ID: 16160
Combining instance-based learning and logistic regression for multilabel classification
W. Cheng, E. Hüllermeier, Machine Learning 76 (2009) 211–225.
LibreCat
 
[154]
2009 | Journal Article | LibreCat-ID: 16165
Supporting case-based retrieval by similarity skylines: Basic concepts and extensions
E. Hüllermeier, I. Vladimirskiy, B. Prados Suarez, E. Stauch, Künstliche Intelligenz 1 (2009) 24–29.
LibreCat
 
[153]
2009 | Conference Paper | LibreCat-ID: 15194
Similarity analysis of protein binding sites: A generalization of the maximum common subgraph measure based on quasi-clique detection
I. Boukhris, Z. Elouedi, T. Fober, M. Mernberger, E. Hüllermeier, in: In Proceedings IDA-2009, 9th International Symposium on Intelligent Data Analysis, Pisa / Italy, 2009, pp. 1245–1250.
LibreCat
 
[152]
2009 | Conference Paper | LibreCat-ID: 15120
Efficient construction of multiple geometrical alignments for the comparison of protein binding sites
T. Fober, G. Klebe, E. Hüllermeier, in: In Proceedings ISDA-2009, 9th International Conference on Intelligent Systems Design and Applications, Pisa, Italy, 2009, pp. 1251–1256.
LibreCat
 
[151]
2009 | Conference Paper | LibreCat-ID: 15776
Learning pattern tree classifiers using a co-evolutionary algorithm
R. Senge, E. Hüllermeier, in: In Proceedings Workshop LWA-2009, Lernen-Wissensentdeckung-Adaptivität, Darmstadt, Germany, 2009, pp. 105–110.
LibreCat
 
[150]
2009 | Journal Article | LibreCat-ID: 16154
Merging chemical and biological space: Structural mapping of enzyme binding pocket space
N. Weskamp, E. Hüllermeier, G. Klebe, Proteins 76 (2009) 317–330.
LibreCat
 
[149]
2009 | Journal Article | LibreCat-ID: 16159
Why fuzzy decision trees are good rankers
E. Hüllermeier, S. Vanderlooy, IEEE Transactions on Fuzzy Systems 17 (2009) 1233–1244.
LibreCat
 
[148]
2009 | Journal Article | LibreCat-ID: 16161
Fuzzy operator trees for modeling rating functions
Y. Yi, T. Fober, E. Hüllermeier, International Journal of Computational Intelligence and Applications 8 (2009) 413–428.
LibreCat
 
[147]
2009 | Book Chapter | LibreCat-ID: 10188
On the usefulness of fuzzy sets in data mining
E. Hüllermeier, in: R. Seising (Ed.), Views on Fuzzy Sets and Systems from Different Perspectives: Philosophy and Logic, Criticisms and Applications, Springer, 2009, pp. 457–470.
LibreCat
 
[146]
2009 | Conference Paper | LibreCat-ID: 13598
A new instance-based label ranking approach using the Mallows model. In Advances in Neural Networks
W. Cheng, E. Hüllermeier, in: In Proceedings 6th International Symposium on Neural Networks, Wuhan, China, Springer, 2009, pp. 707–716.
LibreCat
 
[145]
2009 | Conference Paper | LibreCat-ID: 15195
Fuzzy modeling of labeled point cloud superposition for the comparison of protein binding sites
T. Fober, E. Hüllermeier, in: In Proceedings IFSA / EUSFLAT-2009 World Congress of  the Fuzzy Systems Association, Lissabon, Portugal, 2009, pp. 1299–1304.
LibreCat
 
[144]
2009 | Journal Article | LibreCat-ID: 16162
Evolutionary construction of multiple graph alignments for the structural analysis of biomolecules
T. Fober, M. Mernberger, G. Klebe, E. Hüllermeier, Bioinformatics 25 (2009) 2110–2117.
LibreCat
 
[143]
2008 | Conference Paper | LibreCat-ID: 13599
Supporting case-based retrieval by similarity skylines: Basic concepts and extensions
E. Hüllermeier, I. Vladimirskiy, B. Prados Suarez, E. Stauch, in: K.D. Althoff, R. Bergmann, M. Minor, A. Hanft (Eds.), In Proceedings ECCBR-2008 9th European Conference on Case-Based  Reasoning, Trier, Germany, 2008, pp. 240–254.
LibreCat
 
[142]
2008 | Journal Article | LibreCat-ID: 16168
Multilabel classification via calibrated label ranking
J. Fürnkranz, E. Hüllermeier, E. Mencia, K. Brinker, Machine Learning 73 (2008) 133–153.
LibreCat
 
[141]
2008 | Conference Paper | LibreCat-ID: 15780
Evolutionary construction of multiple graph alignments for mining structured biomolecular data
T. Fober, E. Hüllermeier, M. Mernberger, in: In Proceedings Workshop LWA-2008, Lernen-Wissensentdeckung-Adaptivität, Würzburg, Germany, 2008, pp. 27–33.
LibreCat
 
[140]
2008 | Book Chapter | LibreCat-ID: 10154
Fuzzy methods in data mining
E. Hüllermeier, in: Encyclopedia of Data Warehousing and Mining - Second Edition, Idea Group, Inc.,Hershey, USA, 2008, pp. 907–912.
LibreCat
 
[139]
2008 | Book Chapter | LibreCat-ID: 10185
Learning preference models from data: On the problem of label ranking and its variants
E. Hüllermeier, J. Fürnkranz, in: G. Della Riccia, D. Dubois, R. Kruse, H.J. Lenz (Eds.), Preferences and Similarities, Springer, 2008, pp. 283–304.
LibreCat
 
[138]
2008 | Conference Paper | LibreCat-ID: 15779
Weighted voting as approximate MAP prediction in pairwise classification
E. Hüllermeier, S. Vanderlooy, in: In Proceedings Workshop LWA-2008, Lernen-Wissensentdeckung-Adaptivität, Würzburg, Germany, 2008, pp. 34–41.
LibreCat
 
[137]
2008 | Conference Paper | LibreCat-ID: 15781
Evolutionary construction of multiple graph alignments for the structural analysis of biomolecules
T. Fober, E. Hüllermeier, M. Mernberger, in: A. Beyer, M. Schroeder (Eds.), IIn Proceedings GCB-2008, Germany Conference on Bioinformatics, Dresden 2008, 2008, pp. 44–53.
LibreCat
 
[136]
2008 | Journal Article | LibreCat-ID: 16164
Is an ordinal class structure useful in classifier learning?
J. Hühn, E. Hüllermeier, International Journal of Data Mining, Modeling and Management 1 (2008) 45–67.
LibreCat
 
[135]
2008 | Journal Article | LibreCat-ID: 16169
Learning valued preference structures for solving classification problems
E. Hüllermeier, K. Brinker, Fuzzy Sets and Systems 159 (2008) 2337–2352.
LibreCat
 
[134]
2008 | Journal Article | LibreCat-ID: 16184
Case-based learning in a bipolar possibilistic framework
J. Beringer, E. Hüllermeier, International Journal of Intelligent Systems 23 (2008) 1119–1134.
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[133]
2008 | Conference Paper | LibreCat-ID: 13600
Learning similarity functions from qualitative feedback
W. Cheng, E. Hüllermeier, in: K.D. Althoff, R. Bergmann, M. Minor, A. Hanft (Eds.), In Proceedings ECCBR-2008 9th European Conference on Case-Based  Reasoning, Trier, Germany, Springer, 2008, pp. 120–134.
LibreCat
 
[132]
2008 | Journal Article | LibreCat-ID: 16166
Label ranking by learning pairwise preferences
E. Hüllermeier, J. Fürnkranz, W. Cheng, K. Brinker, Artificial Intelligence 172 (2008) 1897–1917.
LibreCat
 
[131]
2008 | Journal Article | LibreCat-ID: 16167
A critical analysis of variants of the AUC
S. Vanderlooy, E. Hüllermeier, Machine Learning 72 (2008) 247–272.
LibreCat
 
[130]
2008 | Book Chapter | LibreCat-ID: 16225
Granular computing in machine learning and data mining
E. Hüllermeier, in: W. Pedrycz, A. Skowron, V. Kreinovich (Eds.), Handbook on Granular Computing, John Wiley and Sons, 2008, pp. 889–906.
LibreCat
 
[129]
2007 | Conference Paper | LibreCat-ID: 14833
Label ranking in case-based reasoning
K. Brinker, E. Hüllermeier, in: M. Richter, R. Weber (Eds.), In Proceedings ICCBR-2007, 7th International Conference on Case-Based Reasoning, Belfast, Northern Ireland, Springer, 2007, pp. 77–91.
LibreCat
 
[128]
2007 | Journal Article | LibreCat-ID: 16170
In defense of fuzzy association analysis
E. Hüllermeier, Y. Yi, IEEE Transactions on Systems, Man and Cybernetics-Part B: Cybernetics 37 (2007) 1039–1043.
LibreCat
 
[127]
2007 | Journal Article | LibreCat-ID: 16175
Comparing probability measures using possibility theory: A notion of relative peakedness
D. Dubois, E. Hüllermeier, International Journal of Approximate Reasoning 45 (2007) 364–385.
LibreCat
 
[126]
2007 | Journal Article | LibreCat-ID: 16194
Risk assessment for natural hazards: A new approach based on fuzzy probability
I. Karimi, E. Hüllermeier, Fuzzy Sets and Systems 158 (2007) 987–999.
LibreCat
 
[125]
2007 | Book Chapter | LibreCat-ID: 16226
Fuzzy clustering of parallel data streams
J. Beringer, E. Hüllermeier, in: J. Valente de Oliveira, W. Pedrycz (Eds.), Advances in Fuzzy Clustering and Its Applications , John Wiley and Sons, 2007, pp. 333–352.
LibreCat
 
[124]
2007 | Conference Paper | LibreCat-ID: 15197
Fuzzy-relational classificaton : Combining pairwise decomposition techniques with fuzzy preference modeling
E. Hüllermeier, K. Brinker, in: In Proceedings EUSFLAT-2007 5th International Conference on the European Society for Fuzzy Logic and Technology, Ostrava, Czech Republic, 2007, pp. 353–360.
LibreCat
 
[123]
2007 | Conference Paper | LibreCat-ID: 14834
Efficient instance-based learning on data streams
J. Beringer, E. Hüllermeier, in: P. Perner (Ed.), In Proceedings ICDM-2007, International Conference on Industrial Data Mining, Leipzig, Springer, 2007, pp. 34–48.
LibreCat
 
[122]
2007 | Journal Article | LibreCat-ID: 16171
Credible case-based inference using similarity profiles
E. Hüllermeier, IEEE Transactions on Knowledge and Data Engineering 19 (2007) 847–858.
LibreCat
 
[121]
2007 | Book Chapter | LibreCat-ID: 16227
Fuzzy methods for data mining and machine learning: State of the art and prospects
E. Hüllermeier, in: Fuzzy Sets and Their Extensions: Representation, Aggregation and Models, Springer, 2007, pp. 355–374.
LibreCat
 
[120]
2007 | Conference Paper | LibreCat-ID: 14835
Case-based multilabel ranking
K. Brinker, E. Hüllermeier, in: In Proceedings IJCAI-07, 20th International Joint Conference on Artificial Intelligence, Hyerabad, India, January 2007, 2007, pp. 701–707.
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[119]
2007 | Conference Paper | LibreCat-ID: 15782
Interactive ranking of skylines using machine learning techniques
W. Cheng, E. Hüllermeier, B. Seeger, I. Vladimirskiy, in: In Proceedings Workshop LWA-2007, Lernen-Wissensentdeckung-Adaptivität, Halle/Saale, Germany, 2007, pp. 141–148.
LibreCat
 
[118]
2007 | Conference Paper | LibreCat-ID: 15198
Adaptive optimization of the number of clusters in fuzzy clustering, London 2007
J. Beringer, E. Hüllermeier, in: In Proceedings FUZZ-IEEE-07, IEEE International Conference on Fuzzy Systems, 2007.
LibreCat
 
[117]
2007 | Journal Article | LibreCat-ID: 16172
Efficient instance-based learning on data streams
J. Beringer, E. Hüllermeier, Intelligent Data Analysis 11 (2007) 627–650.
LibreCat
 
[116]
2007 | Conference Paper | LibreCat-ID: 15199
Graph alignment: Fuzzy pattern mining for the structural analysis of protein active sites
E. Hüllermeier, N. Weskamp, G. Klebe, D. Kuhn, in: In Proceedings FUZZ-IEEE-07, IEEE International Conference on Fuzzy Systems, London, 2007.
LibreCat
 
[115]
2007 | Conference Paper | LibreCat-ID: 15783
Evolutionary construction of multiple graph alignments for the structural analysis of biomolecules
T. Fober, E. Hüllermeier, M. Mernberger, in: R. Mikut, M. Reischl (Eds.), In Proceedings 17th Workshop Computational Intelligence, Dortmund Germany, 2007, pp. 1–14.
LibreCat
 
[114]
2007 | Book Chapter | LibreCat-ID: 16224
Why fuzzy set theory is useful in data mining
E. Hüllermeier, in: F. Masseglia, P. Poncelet, M. Teisseire (Eds.), Successes and New Directions in Data Mining, Information Science Reference, Hershey, New York, 2007, pp. 1–16.
LibreCat
 
[113]
2007 | Conference Paper | LibreCat-ID: 13601
On pairwise Naive Bayes classifiers
J.N. Sulzmann, J. Fürnkranz, E. Hüllermeier, in: In Proceedings ECML-2007, 17th European Conference on Machine Learning, Warsawa, Poland, Springer, 2007.
LibreCat
 
[112]
2007 | Conference Paper | LibreCat-ID: 14832
On minimizing the position error in label ranking
E. Hüllermeier, J. Fürnkranz, in: In Proceedings ECML-2007, 17th European Conference on Machine Learning, Warsawa, Poland, September 2007, Springer, 2007.
LibreCat
 
[111]
2007 | Book | LibreCat-ID: 16282
Case-based Approximate Reasoning
E. Hüllermeier, Case-Based Approximate Reasoning, Springer, 2007.
LibreCat
 
[110]
2007 | Conference Paper | LibreCat-ID: 15784
Similarity search over uncertain archaeological data using a modified skyline operator
I. Vladimirskiy, E. Hüllermeier, E. Stauch, in: D.C. Wilson, D. Khemani (Eds.), In Workshop Proceedings from ICCBR-2007 7th International Conference on Case-Based Reasoning, Belfast, Northern Ireland, 2007, pp. 31–40.
LibreCat
 
[109]
2007 | Journal Article | LibreCat-ID: 16179
Multiple graph aligment for the structural analysis of protein active sites
N. Weskamp, E. Hüllermeier, D. Kuhn, G. Klebe, IEEE/ACM Transactions of Computational Biology and Bioinformatics 4 (2007) 310–320.
LibreCat
 
[108]
2006 | Conference Paper | LibreCat-ID: 14838
A unified model for multilabel classification and ranking
K. Brinker, J. Fuernkranz, E. Hüllermeier, in: G. Brewka, S. Coradeschi, A. Perini, P. Traverso (Eds.), In Proceedings ECAI-2006, 17th European Conference on Artificial Inteligence, Riva Del Garda, Italy, 2006, pp. 489–493.
LibreCat
 
[107]
2006 | Journal Article | LibreCat-ID: 16182
From the similarity analysis of protein cavities to the functional classification of protein families using Cavbase
D. Kuhn, N. Weskamp, S. Schmitt, E. Hüllermeier, G. Klebe, Journal of Molecular Biology 359 (2006) 1023–1044.
LibreCat
 
[106]
2006 | Conference Paper | LibreCat-ID: 15785
Adaptive optimization of the number of clusters in fuzzy clustering, Dortmund, Germany 2006
J. Beringer, E. Hüllermeier, in: R. Mikut, M. Reischl (Eds.), In Proceedings 16th Workshop Computational Intelligence, Dortmund Germany, 2006, pp. 140–149.
LibreCat
 
[105]
2006 | Conference Paper | LibreCat-ID: 15786
Classification via fuzzy preference learning
E. Hüllermeier, K. Brinker, in: R. Mikut, M. Reischl (Eds.), In Proceedings 16th Workshop Computational Intelligence, Dortmund Germany, 2006, pp. 190–199.
LibreCat
 
[104]
2006 | Conference Paper | LibreCat-ID: 15798
Credible case-based inference using similarity profiles
E. Hüllermeier, in: M. Minor (Ed.), In Proceedings of ECCBR-2006 Workshops, 8th European Conference on Case-Based Reasoning, Ölüdeniz/Fethiye Turkey, 2006, pp. 230–242.
LibreCat
 
[103]
2006 | Journal Article | LibreCat-ID: 16176
Fuzzy methods in case-based recommendation and decision support
D. Dubois, E. Hüllermeier, H. Prade, Journal of Intelligent Information Systems 27 (2006) 95–115.
LibreCat
 
[102]
2006 | Journal Article | LibreCat-ID: 16183
Online clustering of parallel data streams
J. Beringer, E. Hüllermeier, Data and Knowledge Engineering 58 (2006) 180–204.
LibreCat
 
[101]
2006 | Journal Article | LibreCat-ID: 16195
A fuzzy-probablistic earthquake risk assessment system
I. Karimi, E. Hüllermeier, K. Meskouris, Soft Computing 11 (2006) 229–238.
LibreCat
 
[100]
2006 | Conference Paper | LibreCat-ID: 15201
Integrating instance-based learning and logistic regression
E. Hüllermeier, in: In Proceedings IPMU-2006 11th International Conference on Information Processing and Management  of Uncertainty in Knowledge-Based Systems, Paris, France, 2006.
LibreCat
 
[99]
2006 | Conference Paper | LibreCat-ID: 15213
The Choquet integral as an aggregation operator in case-based learning
E. Hüllermeier, in: B. Reusch (Ed.), In Proceeding of the International Conference on Computational Intelligence, 9th Fuzzy Days, Dortmund, Springer, 2006, pp. 615–628.
LibreCat
 
[98]
2006 | Journal Article | LibreCat-ID: 16177
Learning from ambiguously labeled examples
E. Hüllermeier, J. Beringer, Intelligent Data Analysis 10 (2006) 419–440.
LibreCat
 
[97]
2006 | Conference Paper | LibreCat-ID: 14836
Hierarchical classification by expected utility maximization
K. Bade, E. Hüllermeier, A. Nürnberger, in: In Proceedings ICDM-2006, IEEE International Conference on Data Mining, IEEE Computer Society Press, 2006, pp. 43–52.
LibreCat
 
[96]
2006 | Journal Article | LibreCat-ID: 16173
A systematic approach to the assessment of fuzzy association rules
D. Dubois, E. Hüllermeier, H. Prade, Data Mining and Knowledge Discovery 13 (2006) 167–192.
LibreCat
 
[95]
2006 | Journal Article | LibreCat-ID: 16180
Physicochemical descriptors to discriminate protein interactions in permanent and transient complexes by means of machine learning algorithms
P. Block, J. Paern, E. Hüllermeier, P. Sanschagrin, C. Sotriffer, G. Klebe, Proteins: Structure, Function and Bioinformatics 65 (2006) 607–622.
LibreCat
 
[94]
2006 | Conference Paper | LibreCat-ID: 14837
Case-based label ranking
K. Brinker, E. Hüllermeier, in: In Proceedings ECML-2006, 17th European Conference on Machine Learning, Berlin September 2006, Springer, 2006, pp. 566–573.
LibreCat
 
[93]
2005 | Conference Paper | LibreCat-ID: 15216
Learning complexity-boundet rule-based classifiers by combining association analysis and genetic algorithms
Y. Yi, E. Hüllermeier, in: In Proceedings EUSFLAT-2005 4th International Conference on the European Society for Fuzzy Logic and Technology,  Barcelona, Spain, 2005.
LibreCat
 
[92]
2005 | Conference Paper | LibreCat-ID: 14840
Learning label preferences: Ranking error versus position error
E. Hüllermeier, J. Fürnkranz, in: A. Famili, J. Kok, J. Pena, A. Siebes, A. Feelders (Eds.), In Proceedings IDA-2005, 6th International Symposium on Intelligent Data Analysis, Madrid, Springer, 2005, pp. 180–191.
LibreCat
 
[91]
2005 | Conference Paper | LibreCat-ID: 15800
On position error and label ranking through iterated choice
E. Hüllermeier, J. Fürnkranz, J. Beringer, in: In Proceedings LWA/FGML-2005, German Workshop on Machine Learning, Saarbrücken, Germany , 2005, pp. 158–163.
LibreCat
 
[90]
2005 | Conference Paper | LibreCat-ID: 14839
A method for combining interacting pieces of evidence in case-based learning
E. Hüllermeier, C. NN, in: L. Kaelbling, A. Saffiotti (Eds.), In Proceedings IJCAI-05, 19th International Joint Conference on Artificial Intelligence, Edingburgh, Scotland, 2005, pp. 3–8.
LibreCat
 
[89]
2005 | Conference Paper | LibreCat-ID: 14841
Learning from ambiguously labeled examples
E. Hüllermeier, J. Beringer, in: A. Famili, J. Kok, J. Pena, A. Siebes, A. Feelders (Eds.), In Proceedings IDA-2005, 6th International Symposium on Intelligent Data Analysis, Madrid, Springer, 2005, pp. 168–179.
LibreCat
 
[88]
2005 | Conference Paper | LibreCat-ID: 15799
Calibrated label-ranking
K. Brinker, E. Hüllermeier, in: S. Agarwal, C. Cortes, R. Herbrich (Eds.), In Proceedings of the NIPS-2005 Workshop on Learning to Rank, Whistler, BC, Canada, http://web.mit.edu/shivani/www/Ranking-NIPS-05/., 2005, pp. 1–6.
LibreCat
 
[87]
2005 | Conference Paper | LibreCat-ID: 15105
A notion of comarative probabilistic entroy based on the possibilistic specificity ordering
D. Dubois, E. Hüllermeier, in: In Proceedings ECSQARU-2005, 8th European Conference of Symbolic and Quantitative Approaches to Reasoning with Uncertainty, Barcelona, Spain, 2005.
LibreCat
 
[86]
2005 | Conference Paper | LibreCat-ID: 15214
A fuzzy-probablistic risk assessment system for natural disasters
I. Karimi, E. Hüllermeier, in: In Proceedings IFSA-2005, 11th  World Congress of the International Fuzzy System Association, Beijing, China, 2005, pp. 1147–1153.
LibreCat
 
[85]
2005 | Journal Article | LibreCat-ID: 16178
Experience-based decision making: A satisficing decision tree approach
E. Hüllermeier, IEEE Transactions on Systems, Man and Cybernetics-Part A: Systems and Humans 35 (2005) 641–653.
LibreCat
 
[84]
2005 | Conference Paper | LibreCat-ID: 15215
Improving the interpretability of data-driven evolving fuzzy systems
E. Lughofer, E. Hüllermeier, E. Klement, in: In Proceedings EUSFLAT-2005 4th International Conference on the European Society for Fuzzy Logic and Technology, Barcelona, Spain, 2005.
LibreCat
 
[83]
2005 | Journal Article | LibreCat-ID: 16174
Fuzzy sets in machine learning and data mining: Status and prospects
E. Hüllermeier, Fuzzy Sets and Systems 156 (2005) 387–406.
LibreCat
 
[82]
2005 | Journal Article | LibreCat-ID: 16181
Clustering of gene expression data using a local shape-based similarity measure
R. Balasubramaniyan, E. Hüllermeier, N. Weskamp, J. Kämper, Bioinformatics 21 (2005) 1069–1077.
LibreCat
 
[81]
2004 | Journal Article | LibreCat-ID: 16187
Flexible constraints for regularization in learning from data
E. Hüllermeier, International Journal of Intelligent Systems 19 (2004) 525–541.
LibreCat
 
[80]
2004 | Conference Paper | LibreCat-ID: 15217
Comparison of ranking procedures in pairwise preference learning
E. Hüllermeier, J. Fürnkranz, in: In Proceedings IPMU-2004 10th International Conference on Information Processing and Management  of Uncertainty in Knowledge-Based Systems, Perugia, Italy, 2004.
LibreCat
 
[79]
2004 | Conference Paper | LibreCat-ID: 15801
A systematic approach to the assessment of fuzzy association rules
D. Dubois, E. Hüllermeier, H. Prade, in: J. Cubero, D. Sanchez, Z. Ras, T. Sudkamp (Eds.), In Proceedings of the Workshop on Alternative Techniques for Data Mining and Knowledge Discovery, IEEE International Conference on Data Mining, Brighton, UK, 2004.
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[78]
2004 | Conference Paper | LibreCat-ID: 14842
Instance-based prediction with guaranteed confidence
E. Hüllermeier, in: R. Lopez de Mantaras, L. Saitta (Eds.), In Proceedings ECAI-2004, 16th European Conference on Artificial Inteligence, Valencia, Spain, IOS Press, 2004, pp. 97–101.
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[77]
2004 | Conference Paper | LibreCat-ID: 15218
Ranking by pairwise comparison: A note on risk minimization
E. Hüllermeier, J. Fürnkranz, in: In Proceedings FUZZ-IEEE-04, IEEE International Conference on Fuzzy Systems, Budapest, Hungary, 2004.
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[76]
2004 | Conference Paper | LibreCat-ID: 15220
Learning decision rules from positive and negative preferences
E. Hüllermeier, J. Beringer, in: In Proceedings IPMU-2004 10th International Conference on Information Processing and Management  of Uncertainty in Knowledge-Based Systems, Perugia, Italy, 2004.
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[75]
2004 | Conference Paper | LibreCat-ID: 15219
An earthquake risk assessment method based on fuzzy probability
I. Karimi, E. Hüllermeier, K. Meskouris, in: In Proceedings 6th International FLINS Conference on Applied  Computational Intelligence, Duinse Polders, Blankenberg,Belgien, 2004.
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[74]
2004 | Journal Article | LibreCat-ID: 16185
An evolutionary approach to constraints-regularized learning
E. Hüllermeier, I. Renners, A. Grauel, Mathware and Soft Computing 11 (2004) 109–124.
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[73]
2004 | Conference Paper | LibreCat-ID: 15804
Graph alignments: A new concept to detect conserved regions in protein active sites
N. Weskamp, E. Hüllermeier, D. Kuhn, G. Klebe, in: R. Giegerich, J. Stoye (Eds.), In Proceedings of GCB-2004 of the German Conference on Bioinformatics, Bielefeld, Germany, Springer, 2004, pp. 131–140.
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[72]
2004 | Journal Article | LibreCat-ID: 16186
Efficient similarity search in protein structure databases: Improving clique-detection through clique-hashing
N. Weskamp, D. Kuhn, E. Hüllermeier, G. Klebe, Bioinformatics 20 (2004) 1522–1526.
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[71]
2003 | Conference Paper | LibreCat-ID: 15223
Inducing fuzzy concepts through extended version space learning
E. Hüllermeier, in: T. Bilgic, B. De Beats, O. Kaynak (Eds.), In Proceedings IFSA-03 10th International Fuzzy Systems Association World Congress, Istanbul, Turkey, Springer, 2003, pp. 648–677.
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[70]
2003 | Conference Paper | LibreCat-ID: 15065
Regularized learning with flexible constraints
E. Hüllermeier, in: M.R. Berthold, H.J. Lenz, E. Bradley, R. Kruse, C. Borgelt (Eds.), In Proceddings IDA-03, 5th International Symposium on Intelligent Data Anaysis, Springer, 2003.
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[69]
2003 | Journal Article | LibreCat-ID: 16188
Possibilistic instance-based learning
E. Hüllermeier, Artificial Intelligence 148 (2003) 335–383.
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[68]
2003 | Journal Article | LibreCat-ID: 16190
On the representation of fuzzy rules in terms of crisp rules
D. Dubois, E. Hüllermeier, H. Prade, Information Sciences 151 (2003) 301–326.
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[67]
2003 | Conference Paper | LibreCat-ID: 15802
Efficient similarity search in protein structure databases: Improving clique-detection through geometric hashing
N. Weskamp, D. Kuhn, E. Hüllermeier, G. Klebe, in: In Proceedings GCB-2003 German Conference on Bioinformatics, Munich, Germany, 2003.
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[66]
2003 | Conference Paper | LibreCat-ID: 15066
Pairwise preference learning and ranking
J. Fürnkranz, E. Hüllermeier, in: In Proceedings ECML-2003, 13 Th European Conference on Machine Learning, Cavtat-Dubrovnik, Croatia, Springer, 2003.
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[65]
2003 | Journal Article | LibreCat-ID: 16189
Flexibility and case-based evaluation in querying: An Illustration in an experimental setting
M. De Calmès, D. Dubois, E. Hüllermeier, H. Prade, F. Sèdes, International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems 11 (2003) 43–66.
LibreCat
 
[64]
2003 | Book Chapter | LibreCat-ID: 16228
Sequential decision making in heuristic search
E. Hüllermeier, in: G. Della Riccia, D. Dubois, R. Kruse, H.J. Lenz (Eds.), Planning Based on Decision Theory (CISM Courses and Lectures No.472), Springer, 2003.
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[63]
2003 | Book Chapter | LibreCat-ID: 16230
Mining implication-based fuzzy association rules in databases
E. Hüllermeier, J. Beringer, in: B. Bouchon-Meunier, L. Foulloy, R.R.. Yager (Eds.), Intelligent Systems for Information Processing: From Representation to Applications, Elsevier, 2003.
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[62]
2003 | Conference Paper | LibreCat-ID: 15221
Instance-based collaborative filtering with fuzzy labels
E. Hüllermeier, in: In Proceedings EUSFLAT-2003 3th International Conference on the European Society for Fuzzy Logic and Technology, Zittlau, Germany, 2003, pp. 468–473.
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[61]
2003 | Conference Paper | LibreCat-ID: 15803
Instance-based learning of credible label sets
E. Hüllermeier, in: A. Günter, R. Kruse, B. Neumann (Eds.), In Proceedings KI-2003, 26th German Conference on Artificial Intelligence, Hamburg, Germany, Springer, 2003.
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[60]
2003 | Book Chapter | LibreCat-ID: 16229
Possibilistic case-based decisions
D. Dubois, E. Hüllermeier, H. Prade, in: C. Lesage, M. Cottrell (Eds.), Connectionist Approaches in Economics and Management  Sciences, Kluwer, 2003.
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[59]
2003 | Conference Paper | LibreCat-ID: 15222
A note on quality measures for fuzzy association rules
D. Dubois, E. Hüllermeier, H. Prade, in: T. Bilgic, B. De Beats, O. Kaynak (Eds.), In Proceedings IFSA-03 10th International Fuzzy Systems Association World Congress, Istanbul, Turkey, Springer, 2003, pp. 648–677.
LibreCat
 
[58]
2002 | Conference Paper | LibreCat-ID: 15228
Case-based quering and prediction: A fuzzy set approach
M. De Calmès, D. Dubois, E. Hüllermeier, H. Prade, F. Sèdes, in: In Proceedings FUZZ-IEEE-02, IEEE International Conference on Fuzzy Systems, Honolulu, Hawaii, 2002, pp. 735–740.
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[57]
2002 | Conference Paper | LibreCat-ID: 15064
A fuzzy set approach to flexible case-based querying: methodology and experimentation
M. De Calmès, D. Dubois, E. Hüllermeier, H. Prade, F. Sèdes, in: D. Fensel, F. Giunchiglia, D. Mc Guinness, M.A. Williams (Eds.), In Proceedings KR-02, 8th International Conference on Principles of Knowledge Representation and Reasoning, France, Morgan Kaufmann, 2002, pp. 449–458.
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[56]
2002 | Journal Article | LibreCat-ID: 16191
Model adaption in possibilistic instance-based reasoning
E. Hüllermeier, D. Dubois, H. Prade, IEEE Transactions on Fuzzy Systems 10 (2002) 333–339.
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[55]
2002 | Conference Paper | LibreCat-ID: 15226
Mining implication-based fuzzy association rules in databases
E. Hüllermeier, in: In Proceedings IPMU-2002 9th International Conference on Information Processing and Management  of Uncertainty in Knowledge-Based Systems,Annecy, France, 2002, pp. 101–108.
LibreCat
 
[54]
2002 | Conference Paper | LibreCat-ID: 15098
Association rules for expressing gradual dependencies
E. Hüllermeier, in: In Proceedings PKDD-02  6th European Conference on Principles and Practise of Knowledge Discovery in Databases, Helsinki, Finland, Springer, 2002, pp. 200–211.
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[53]
2002 | Conference Paper | LibreCat-ID: 15101
Possibilistic induction in decision tree learning
E. Hüllermeier, in: In Proceedings ECML-02, 13th European Conference on Machine Learning, Helsinki Finland, Springer, 2002, pp. 173–184.
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[52]
2002 | Conference Paper | LibreCat-ID: 14843
On the representation and combination of evidence in instance-based learning
E. Hüllermeier, in: In Proceedings ECAI-2002, 15th European Conference on Artificial Intelligence, Lyon, France, IOS Press, 2002, pp. 360–364.
LibreCat
 
[51]
2002 | Journal Article | LibreCat-ID: 16192
Fuzzy set-based methods in instance-based reasoning
D. Dubois, E. Hüllermeier, H. Prade, IEEE Transactions on Fuzzy Systems 10 (2002) 322–332.
LibreCat
 
[50]
2002 | Conference Paper | LibreCat-ID: 15227
Exploiting similarity and experience in decision making
E. Hüllermeier, in: In Proceedings FUZZ-IEEE-02, IEEE International Conference on Fuzzy Systems, Honolulu, Hawaii, 2002, pp. 729–734.
LibreCat
 
[49]
2002 | Book Chapter | LibreCat-ID: 16232
Knowledge-based extrapolation of cases: A possibilistic approach
E. Hüllermeier, D. Dubois, H. Prade, in: B. Bouchon-Meunier, J. Gutierrez-Rios, L. Magdalena, R.R. Yager (Eds.), Technologies for Constructing Intelligent Systems, Springer, 2002, pp. 377–390.
LibreCat
 
[48]
2001 | Conference Paper | LibreCat-ID: 15300
Experience-based decision making and learning from examples
E. Hüllermeier, in: In Proceedings SOR-01 Symposium on Operations Research, Duisburg, Germany, Springer, 2001.
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[47]
2001 | Conference Paper | LibreCat-ID: 15230
Toward the representation of implication-based fuzzy rules in terms of crisp rules
D. Dubois, E. Hüllermeier, H. Prade, in: In Proceedings IFSA/NAFIPS-2001  Joint 9th World Congress of the International Fuzzy Systems Association and 20th Internatinonal Conference of the North American Fuzzy Information Processing Society, Vancouver, Canada, 2001, pp. 1592–1597.
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[46]
2001 | Book Chapter | LibreCat-ID: 16233
Empirische Überprüfung eines synergetischen Konjunkturmodells
M. Kraft, E. Hüllermeier, P. Weise, in: H.-W. Lorenz, B. Meyer (Eds.), Studien Zur Evoltorischen Ökonomik IV, Duncker & Humblot, Berlin, 2001, pp. 11–44.
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[45]
2001 | Conference Paper | LibreCat-ID: 15805
Possibilistic instance-based learning
E. Hüllermeier, in: In Proceedings FGML-2001 German Workshop on Machine Learning, Dortmund, Germany, 2001, pp. 108–115.
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[44]
2001 | Conference Paper | LibreCat-ID: 15229
Fuzzy association rules: Semantic issues and quality measures
E. Hüllermeier, in: B. Reusch (Ed.), In Proceedings of the International Conference on Computational Intelligence 7th Fuzzy Days, Dortmund, Germany, Springer, 2001, pp. 380–391.
LibreCat
 
[43]
2001 | Conference Paper | LibreCat-ID: 15806
Implication-based fuzzy association rules
E. Hüllermeier, in: In Proceedings FGML-2001 German Workshop on Machine Learning, Dortmund, Germany, 2001, pp. 93–99.
LibreCat
 
[42]
2001 | Conference Paper | LibreCat-ID: 15807
Instance-based prediction in the framework of possibility theory
E. Hüllermeier, D. Dubois, H. Prade, in: In Proceedings of Workshop on Soft Computing in Case-Based Reasoning, Vancouver, Canada, 2001.
LibreCat
 
[41]
2001 | Conference Paper | LibreCat-ID: 15106
Implication-based fuzzy association rules
E. Hüllermeier, in: D. Raedt, A. Siebes (Eds.), In Proceedings PKDD-01  5th European Conference on Principles and Practise of Knowledge Discovery in Databases, Freiburg, Germany, Springer, 2001, pp. 241–252.
LibreCat
 
[40]
2001 | Book Chapter | LibreCat-ID: 16231
Machinelles Lernen und Komplexität
E. Hüllermeier, in: F. Haslinger, P. Weise (Eds.), Ökonomie Und Gesellschaft, Jahrbuch 17: Komplexität Und Lernen, Metropolis, 2001, pp. 255–288.
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[39]
2001 | Journal Article | LibreCat-ID: 16193
Similarity-based inference as evidential reasoning
E. Hüllermeier, International Journal of Approximate Reasoning 26 (2001) 67–100.
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[38]
2000 | Conference Paper | LibreCat-ID: 15108
A method for predicting solutions in case-based problem solving
E. Hüllermeier, in: E. Blanzieri, L. Portinale (Eds.), In Proceedings EWCBR-2000, 5th European Workshop on Case-Based Reasoning, Trento, Italy, Springer, 2000, pp. 124–135.
LibreCat
 
[37]
2000 | Conference Paper | LibreCat-ID: 14845
Focusing search by using problem solving experience
E. Hüllermeier, in: W. Horn (Ed.), In Proceedings ECAI-2000, 14th European Conference on Artificial Inteligence, Berlin, Germany, IOS Press, 2000, pp. 55–59.
LibreCat
 
[36]
2000 | Conference Paper | LibreCat-ID: 15301
Fuzzy dynamics: Methodological framework and applications of compartmental modeling
E. Hüllermeier, in: D.M. Dubois (Ed.), In Proceedings CASYS-2000, 4th International Conference on Computing Anticipatory Systems Liège, Belgium, 2000.
LibreCat
 
[35]
2000 | Conference Paper | LibreCat-ID: 15109
Flexible control of case-based prediction in the framework of possibility theory
D. Dubois, E. Hüllermeier, H. Prade, in: E. Blanzieri, L. Portinale (Eds.), In Proceedings EWCBR-2000, 5th European Workshop on Case-Based Reasoning, Trento, Italy, Springer, 2000, pp. 61–73.
LibreCat
 
[34]
2000 | Conference Paper | LibreCat-ID: 15231
Knowledge-based extrapolution of cases: A possibilistic approach
E. Hüllermeier, D. Dubois, H. Prade, in: In Proceedings IPMU-2000 8th International Conference on Information Processing and Management  of Uncertainty in Knowledge-Based Systems, Madrid, Spain, 2000, pp. 1575–1582.
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[33]
2000 | Book Chapter | LibreCat-ID: 16234
Formalizing case-based inference using fuzzy rules
D. Dubois, E. Hüllermeier, H. Prade, in: S.K. Pal, D.Y. So, T. Dillon (Eds.), Soft Computing in Case-Based Reasoning, Springer, 2000, pp. 47–72.
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[32]
2000 | Conference Paper | LibreCat-ID: 15302
In vitro-in vivo hepatic clearance prediction using fuzzy sets
I. Gueroguieva, I. Nestorov, M. Rowland, E. Hüllermeier, in: In Proceedings EUFEPS-2000, 6th European Congress of Pharmaceutical Sciences, Supplement 1 , European Journal of Pharmaceutical Sciences, 2000, p. S22.
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[31]
2000 | Journal Article | LibreCat-ID: 16196
Fuzzy dynamics and applications in biological systems modelling
E. Hüllermeier, C. Giersch, Systems Analysis,  Modelling, Simulation 38 (2000) 29–50.
LibreCat
 
[30]
2000 | Conference Paper | LibreCat-ID: 15808
Flexible control of case-based prediction in the framework of possibility theory
D. Dubois, E. Hüllermeier, H. Prade, in: In Proceedings RàPC-2000, Raisonnement à Partir de Cas, Toulouse, France, 2000, pp. 7–16.
LibreCat
 
[29]
2000 | Conference Paper | LibreCat-ID: 15063
Change detection in heuristic search
E. Hüllermeier, in: Proceedings AAAI 2000, 17th National Conference on Artificial Intelligence, Austin, Texas, 2000, pp. 898–903.
LibreCat
 
[28]
2000 | Conference Paper | LibreCat-ID: 14844
Similarity-based inference as evidential reasoning
E. Hüllermeier, in: W. Horn (Ed.), In Proceedings ECAI-2000, 14th European Conference on Artificial Inteligence, Berlin, Germany, IOS Press, 2000, pp. 50–54.
LibreCat
 
[27]
2000 | Journal Article | LibreCat-ID: 16198
Evaluation and specification of a synergetic business cycle model with German data
E. Hüllermeier, M. Kraft, P. Weise, Homo Oeconomicus XVI (2000).
LibreCat
 
[26]
1999 | Journal Article | LibreCat-ID: 16199
Numerical methods for fuzzy initial value problems
E. Hüllermeier, International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems 7 (1999) 439–461.
LibreCat
 
[25]
1999 | Conference Paper | LibreCat-ID: 15232
Extensions of a qualitative approach to case-based decision making: Unvertainty and fuzzy quantification in act evaluation
E. Hüllermeier, D. Dubois, H. Prade, in: H.J. Zimmermann (Ed.), In Proceedings EUFIT-99 7th European Congress on Intelligent Techniques and Soft Computing, Aachen, Germany, 1999.
LibreCat
 
[24]
1999 | Book Chapter | LibreCat-ID: 16235
Qualitatives Schließen und Qualitative Simulation
E. Hüllermeier, in: H. Szczerbicka, T. Uthmann (Eds.), Modellierung, Simulation Und Künstliche Intelligenz, SCS Publishing House, Erlangen, 1999, pp. 277–310.
LibreCat
 
[23]
1999 | Conference Paper | LibreCat-ID: 15233
Toward models of case-based decision making
E. Hüllermeier, in: H.J. Zimmermann (Ed.), In Proceedings EUFIT-99 7th European Congress on Intelligent Techniques and Soft Computing, Aachen, Germany, 1999.
LibreCat
 
[22]
1999 | Conference Paper | LibreCat-ID: 15062
Toward a probabilistic formalization of case-based inference
E. Hüllermeier, in: T. Dean (Ed.), In Proceedings IJCAI-99, 16th International Joint Conference on Artificial Intelligence, Stockholm, Sweden, Morgan Kaufmann, 1999, pp. 248–253.
LibreCat
 
[21]
1999 | Journal Article | LibreCat-ID: 16200
Approximation of uncertain funtional relationships
E. Hüllermeier, Fuzzy Sets and Systems 101 (1999) 227–240.
LibreCat
 
[20]
1999 | Conference Paper | LibreCat-ID: 15234
A possibilistic formalization of case-based reasoning and decision making
E. Hüllermeier, in: B. Reusch (Ed.), In Proceedings of the 6th International Conference on Computational Intelligence, Dortmund, Germany, Springer, 1999, pp. 411–420.
LibreCat
 
[19]
1999 | Conference Paper | LibreCat-ID: 15107
Exploiting similarity for supporting data analysis and problem solving
E. Hüllermeier, in: D.J. Hand, J.N. Kok, M.R. Berthold (Eds.), In Proceedings IDA-1999, 3th International Symposium on Intelligent Data Analysis, Amsterdam, Netherlands, Springer, 1999, pp. 257–268.
LibreCat
 
[18]
1999 | Conference Paper | LibreCat-ID: 15809
Fuzzy rules in case-based reasoning
E. Hüllermeier, D. Dubois, H. Prade, in: In Proceedings RàPC-1999, Raisonnement à Partir de Cas, Paris Palaiseau, France, In Conferences AFIA-1999, 1999, pp. 45–54.
LibreCat
 
[17]
1998 | Conference Paper | LibreCat-ID: 15287
Fuzzy dynamics of compartmental systems
E. Hüllermeier, in: H.J. Zimmermann (Ed.), In Proceedings EUFIT-98 6th European Congress on Intelligent Techniques and Soft Computing, Aachen, Germany, 1998.
LibreCat
 
[16]
1998 | Conference Paper | LibreCat-ID: 15288
Fuzzy sets and modelling of uncertainty in biological systems
E. Hüllermeier, C. Giersch, in: In Proceedings IPMU-98 7th International Conference on Information Processing and Management  of Uncertainty in Knowledge-Based Systems, Paris, La Sorbonne, Editions E.D.K., 1998, pp. 1857–1864.
LibreCat
 
[15]
1998 | Conference Paper | LibreCat-ID: 15303
Numerical solutions for fuzzy initial value problems
E. Hüllermeier, in: P. Borne, M. Ksouri, A. El Kamel (Eds.), In Proceedings CESA-98, IMACS Multiconference on Computaional Engineering in Systems Applications, Symposium on Applied Mathematics and Optimization, Nabeul-Hammamet, Tunesia, 1998.
LibreCat
 
[14]
1998 | Conference Paper | LibreCat-ID: 15810
Case-based probality and case-based decision making
E. Hüllermeier, in: L. Gierl, M. Lenz (Eds.), In Proceedings of the 6th German Workshop on Case-Based Reasoning, Berlin, Germany, 1998, pp. 13–22.
LibreCat
 
[13]
1998 | Conference Paper | LibreCat-ID: 15289
A Bayesian approach to case-based probalistic reasoning
E. Hüllermeier, in: In Proceedings IPMU-98 7th International Conference on Information Processing and Management  of Uncertainty in Knowledge-Based Systems, Paris, La Sorbonne, Editions E.D.K., 1998, pp. 1296–1303.
LibreCat
 
[12]
1997 | Conference Paper | LibreCat-ID: 15290
Hierarchical propagation of uncertain constraints
E. Hüllermeier, in: H.J. Zimmermann (Ed.), In Proceedings EUFIT-97 5th European Congress on Intelligent Techniques and Soft Computing, Aachen, Germany, 1997, pp. 953–957.
LibreCat
 
[11]
1997 | Conference Paper | LibreCat-ID: 15291
Approximation of fuzzy functions
E. Hüllermeier, in: A. Grauel, W. Becker, F. Belli (Eds.), In Proceedings 4.Internationaler Workshop Fuzzy-Neuro-Systeme. Soest Germany, 1997, pp. 374–381.
LibreCat
 
[10]
1997 | Conference Paper | LibreCat-ID: 15811
Modellierung und Simulation unsicherer dynamischer Systeme und Anwendungen in der Diagnose
E. Hüllermeier, in: D.P.F. Möller, O. Richter (Eds.), In Proceedings ASIM Fachgruppentagung Soft Computing, 1997.
LibreCat
 
[9]
1997 | Journal Article | LibreCat-ID: 16201
A new approach to modelling and simulation of uncertain dynamical systems
E. Hüllermeier, International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems 5 (1997) 117–137.
LibreCat
 
[8]
1996 | Conference Paper | LibreCat-ID: 15292
Approminate probabilistic reasoning with fuzzy constraints
E. Hüllermeier, in: H.J. Zimmermann (Ed.), In Proceedings EUFIT-96 4th European Congress on Intelligent Techniques and Soft Computing, Aachen, Germany, 1996.
LibreCat
 
[7]
1996 | Conference Paper | LibreCat-ID: 15293
A fuzzy simulation method
E. Hüllermeier, in: P.G. Anderson, K. Warwick (Eds.), International Symposium on Soft Computing, Reading U.K., ICSC Academic Press, 1996, pp. B230–B236.
LibreCat
 
[6]
1996 | Conference Paper | LibreCat-ID: 15304
Hierarchical constraint propagation based on interval arithmetic
E. Hüllermeier, in: In Proceedings Interval-96 International Conference on Interval Methods and Computer Aided Proofs in Science and Engineering, Würzburg, 1996, pp. 54–55.
LibreCat
 
[5]
1995 | Conference Paper | LibreCat-ID: 15305
Fuzzy polynomial and spline interpolation
E. Hüllermeier, in: In Proceedings IMACS Symposium on Systems Analysis and Simulation, Berlin, Gordon and Breach Publishers, 1995, pp. 401–404.
LibreCat
 
[4]
1995 | Conference Paper | LibreCat-ID: 15294
Towards modelling of fuzzy functions
E. Hüllermeier, in: H.J. Zimmermann (Ed.), In Proceedings EUFIT-95 3rd European Congress on Intelligent Techniques and Soft Computing, Aachen, Germany, 1995, pp. 150–154.
LibreCat
 
[3]
1995 | Conference Paper | LibreCat-ID: 15295
Rule-based modelling in fuzzy simulation
E. Hüllermeier, in: In Proceedings ISFL-95 International Symposium on Logic, Zürich, ICSC Academic Press, 1995, pp. B49–B56.
LibreCat
 
[2]
1995 | Book Chapter | LibreCat-ID: 16236
Konjunkturzyklen aufgrund von Investitionsinterdependenzen: Simulation und empirische Überprüfung
E. Hüllermeier, in: J. Flemmig (Ed.), Moderne Makroökonomie-Eine Kritische Bestandsaufnahme, Metropolis, 1995, pp. 413–454.
LibreCat
 
[1]
1994 | Conference Paper | LibreCat-ID: 15296
Approximate solution of a linear programming problem using a modified perceptron-algorithm.
E. Hüllermeier, in: H.J. Zimmermann (Ed.), In Proceedings EUFIT-94 2nd European Congress on Intelligent Techniques and Soft Computing, Aachen, Germany, 1994, pp. 195–199.
LibreCat
 

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