234 Publications

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[234]
2019 | Journal Article | LibreCat-ID: 15002
W. Waegeman, K. Dembczynski, and E. Hüllermeier, “Multi-target prediction: a unifying view on problems and methods,” Data Mining and Knowledge Discovery, vol. 33, no. 2, pp. 293–324, 2019.
LibreCat | DOI
 
[233]
2019 | Conference Paper | LibreCat-ID: 15007
V. Melnikov and E. Hüllermeier, “Learning to Aggregate: Tackling the Aggregation/Disaggregation Problem for OWA,” in Proceedings ACML, Asian Conference on Machine Learning (Proceedings of Machine Learning Research, 101), 2019.
LibreCat | DOI
 
[232]
2019 | Conference Paper | LibreCat-ID: 15014
E. Hüllermeier, I. Couso, and S. Diestercke, “Learning from Imprecise Data: Adjustments of Optimistic and Pessimistic Variants,” in Proceedings SUM 2019, International Conference on Scalable Uncertainty Management, 2019.
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[231]
2019 | Conference Paper | LibreCat-ID: 15003
T. Mortier, M. Wydmuch, K. Dembczynski, E. Hüllermeier, and W. Waegeman, “Set-Valued Prediction in Multi-Class Classification,” 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.
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[230]
2019 | Journal Article | LibreCat-ID: 15015
S. Henzgen and E. Hüllermeier, “Mining Rank Data,” ACM Transactions on Knowledge Discovery from Data, pp. 1–36, 2019.
LibreCat | DOI
 
[229]
2019 | Conference Paper | LibreCat-ID: 10232
M. D. Wever, F. Mohr, A. Tornede, and E. Hüllermeier, “Automating Multi-Label Classification Extending ML-Plan,” presented at the 6th ICML Workshop on Automated Machine Learning (AutoML 2019), Long Beach, CA, USA, 2019.
LibreCat | Files available
 
[228]
2019 | Book Chapter | LibreCat-ID: 15004
M. Ahmadi Fahandar and E. Hüllermeier, “Feature Selection for Analogy-Based Learning to Rank,” in Discovery Science, Cham, 2019.
LibreCat | DOI
 
[227]
2019 | Conference Paper | LibreCat-ID: 15011
A. Tornede, M. D. Wever, and E. Hüllermeier, “Algorithm Selection as Recommendation: From Collaborative Filtering to Dyad Ranking,” in Proceedings - 29. Workshop Computational Intelligence, Dortmund, 28. - 29. November 2019, Dortmund, 2019, pp. 135–146.
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[226]
2019 | Journal Article | LibreCat-ID: 10578
V. K. Tagne, S. Fotso, L. A. Fono, and E. Hüllermeier, “Choice Functions Generated by Mallows and Plackett–Luce Relations,” New Mathematics and Natural Computation, vol. 15, no. 2, pp. 191–213, 2019.
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[225]
2019 | Conference Abstract | LibreCat-ID: 8956
A. Hetzer, M. D. Wever, F. Mohr, and E. Hüllermeier, “Algorithm Selection as Recommendation: From Collaborative Filtering to Dyad Ranking,” presented at the European Conference on Data Analysis (ECDA), Bayreuth, Germany, 2019.
LibreCat | Files available
 
[224]
2019 | Book Chapter | LibreCat-ID: 15005
M. Ahmadi Fahandar and E. Hüllermeier, “Analogy-Based Preference Learning with Kernels,” in KI 2019: Advances in Artificial Intelligence, Cham, 2019.
LibreCat | DOI
 
[223]
2019 | Conference Abstract | LibreCat-ID: 8868
M. D. Wever, F. Mohr, E. Hüllermeier, and A. Hetzer, “Towards Automated Machine Learning for Multi-Label Classification,” presented at the European Conference on Data Analytics (ECDA), Bayreuth, Germany, 2019.
LibreCat | Files available
 
[222]
2019 | Conference Abstract | LibreCat-ID: 13132
F. Mohr, M. D. Wever, A. Tornede, and E. Hüllermeier, “From Automated to On-The-Fly Machine Learning,” in INFORMATIK 2019: 50 Jahre Gesellschaft für Informatik – Informatik für Gesellschaft, Kassel, 2019, pp. 273–274.
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[221]
2019 | Journal Article | LibreCat-ID: 15001
I. Couso, C. Borgelt, E. Hüllermeier, and R. Kruse, “Fuzzy Sets in Data Analysis: From Statistical Foundations to Machine Learning,” IEEE Computational Intelligence Magazine, pp. 31–44, 2019.
LibreCat | DOI
 
[220]
2019 | Book Chapter | LibreCat-ID: 15006
V.-L. Nguyen, S. Destercke, and E. Hüllermeier, “Epistemic Uncertainty Sampling,” in Discovery Science, Cham, 2019.
LibreCat | DOI
 
[219]
2019 | Conference Paper | LibreCat-ID: 15013
K. Brinker and E. Hüllermeier, “A Reduction of Label Ranking to Multiclass Classification,” in Proceedings ECML/PKDD, European Conference on Machine Learning and Knowledge Discovery in Databases, 2019.
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[218]
2018 | Conference Paper | LibreCat-ID: 10184
D. Schäfer and E. Hüllermeier, “Preference-Based Reinforcement Learning Using Dyad Ranking,” in Proc. 21st Int. Conference on Discovery Science (DS), 2018, pp. 161–175.
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[217]
2018 | Conference Paper | LibreCat-ID: 3852
M. D. Wever, F. Mohr, and E. Hüllermeier, “ML-Plan for Unlimited-Length Machine Learning Pipelines,” in ICML 2018 AutoML Workshop, Stockholm, Sweden, 2018.
LibreCat | Files available | Download (ext.)
 
[216]
2018 | Conference Paper | LibreCat-ID: 2479
F. Mohr, M. D. Wever, E. Hüllermeier, and A. Faez, “(WIP) Towards the Automated Composition of Machine Learning Services,” in SCC, San Francisco, CA, USA, 2018.
LibreCat | Files available | DOI | Download (ext.)
 
[215]
2018 | Conference Paper | LibreCat-ID: 10153
F. Mohr, M. D. Wever, and E. Hüllermeier, “Reduction Stumps for Multi-class Classification,” in Proc. 17th Int. Symposium on Intelligent Data Analysis (IDA), 2018, pp. 225–237.
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[214]
2018 | Conference Paper | LibreCat-ID: 15297
E. Hüllermeier, F. Mohr, M. D. Wever, and A. Faez, “Towards the automated composition of machine learning services,” in in Proceedings SCC 2018, IEEE International Conference of Services Computing, San Francisco, CA, USA, 2018, pp. 241–244.
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[213]
2018 | Conference Paper | LibreCat-ID: 10185
N. Seemann, M. Geierhos, M.-L. Merten, D. Tophinke, M. D. Wever, and E. Hüllermeier, “Supporting the Cognitive Process in Annotation Tasks,” in Postersession Computerlinguistik der 40. Jahrestagung der Deutschen Gesellschaft für Sprachwissenschaft, 2018.
LibreCat
 
[212]
2018 | Conference Paper | LibreCat-ID: 10154
F. Mohr, M. D. Wever, E. Hüllermeier, and A. Faez, “(WIP) Towards the Automated Composition of Machine Learning Services,” in Proc. 15th Int. Conference on Services Computing (SCC), 2018, pp. 241–244.
LibreCat
 
[211]
2018 | Conference Paper | LibreCat-ID: 10192
M. D. Wever, F. Mohr, and E. Hüllermeier, “ML-Plan for Unlimited-Length Machine Learning Pipelines,” in Int. Workshop on Automatic Machine Learning (AutoML) at ICML 2018, 2018.
LibreCat
 
[210]
2018 | Journal Article | LibreCat-ID: 10274
V. Melnikov and E. Hüllermeier, “On the effectiveness of heuristics for learning nested dichotomies: an empirial analysis,” Machine Learning, vol. 107, no. 8–10, pp. 1537–1560, 2018.
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[209]
2018 | Conference (Editor) | LibreCat-ID: 10591
S. Abiteboul et al., Eds., Research Directions for Principles of Data Management, vol. 7, no. 1. 2018, pp. 1–29.
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[208]
2018 | Conference Paper | LibreCat-ID: 15298
F. Mohr, M. D. Wever, and E. Hüllermeier, “On-the-fly service construction with prototypes,” in in Proceedings SCC 2018, IEEE International Conference of Services Computing, San Francisco, CA, USA, 2018, pp. 225–232.
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[207]
2018 | Conference Paper | LibreCat-ID: 10181
V.-L. Nguyen, S. Destercke, M.-H. Masson, and E. Hüllermeier, “Reliable Multi-class Classification based on Pairwise Epistemic and Aleatoric Uncertainty,” in Proc. 27th Int.Joint Conference on Artificial Intelligence (IJCAI), 2018, pp. 5089–5095.
LibreCat
 
[206]
2018 | Conference Paper | LibreCat-ID: 2109
M. D. Wever, F. Mohr, and E. Hüllermeier, “Ensembles of Evolved Nested Dichotomies for Classification,” in Proceedings of the Genetic and Evolutionary Computation Conference, GECCO 2018, Kyoto, Japan, July 15-19, 2018, Kyoto, Japan, 2018.
LibreCat | Files available | DOI | Download (ext.)
 
[205]
2018 | Conference Paper | LibreCat-ID: 2471
F. Mohr, M. D. Wever, and E. Hüllermeier, “On-The-Fly Service Construction with Prototypes,” in SCC, San Francisco, CA, USA, 2018.
LibreCat | Files available | DOI | Download (ext.)
 
[204]
2018 | Book Chapter | LibreCat-ID: 6423
D. Schäfer and E. Hüllermeier, “Preference-Based Reinforcement Learning Using Dyad Ranking,” in Discovery Science, Cham: Springer International Publishing, 2018, pp. 161–175.
LibreCat | Files available | DOI
 
[203]
2018 | Conference Paper | LibreCat-ID: 10148
A. El Mesaoudi-Paul, E. Hüllermeier, and R. Busa-Fekete, “Ranking Distributions based on  Noisy Sorting,” in Proc. 35th Int. Conference on Machine Learning (ICML), 2018, pp. 3469–3477.
LibreCat
 
[202]
2018 | Conference Paper | LibreCat-ID: 3552
F. Mohr, M. D. Wever, and E. Hüllermeier, “Reduction Stumps for Multi-Class Classification,” in Proceedings of the Symposium on Intelligent Data Analysis, ‘s-Hertogenbosch, the Netherlands.
LibreCat | Files available | DOI | Download (ext.)
 
[201]
2018 | Conference Paper | LibreCat-ID: 10151
F. Mohr, T. Lettmann, E. Hüllermeier, and M. D. Wever, “Programmatic Task Network Planning,” in Proc. 1st ICAPS Workshop on Hierachical  Planning at the 28th Int. Conference on Automated Planning and Scheduling (ICAPS), 2018, pp. 31–39.
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[200]
2018 | Conference Paper | LibreCat-ID: 10149
M. Hesse, J. Timmermann, E. Hüllermeier, and A. Trächtler, “A Reinforcement Learning Strategy for the Swing-Up of the Double Pendulum on a Cart,” 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.
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[199]
2018 | Journal Article | LibreCat-ID: 10276
D. Schäfer and E. Hüllermeier, “Dyad Ranking Using Plackett-Luce Models based on joint feature representations,” Machine Learning, vol. 107, no. 5, pp. 903–941, 2018.
LibreCat
 
[198]
2018 | Book Chapter | LibreCat-ID: 10783
I. Couso and E. Hüllermeier, “Statistical Inference for Incomplete Ranking Data: A Comparison of two likelihood-based estimators,” in Frontiers in Computational Intelligence, S. Mostaghim, A. Nürnberger, and C. Borgelt, Eds. Springer, 2018, pp. 31–46.
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[197]
2018 | Conference Paper | LibreCat-ID: 2857
F. Mohr, T. Lettmann, E. Hüllermeier, and M. D. Wever, “Programmatic Task Network Planning,” in Proceedings of the 28th International Conference on Automated Planning and Scheduling, Delft, Netherlands, 2018.
LibreCat | Files available | Download (ext.)
 
[196]
2018 | Conference Abstract | LibreCat-ID: 1379
N. Seemann, M. Geierhos, M.-L. Merten, D. Tophinke, M. D. Wever, and E. Hüllermeier, “Supporting the Cognitive Process in Annotation Tasks,” in Postersession Computerlinguistik der 40. Jahrestagung der Deutschen Gesellschaft für Sprachwissenschaft, Stuttgart, Germany, 2018.
LibreCat | Files available | Download (ext.)
 
[195]
2018 | Conference Paper | LibreCat-ID: 10152
F. Mohr, M. D. Wever, and E. Hüllermeier, “On-the-Fly Service Construction with Prototypes,” in Proc. 15th Int. Conference on Services Computing (SCC), 2018, pp. 225–232.
LibreCat
 
[194]
2018 | Conference Paper | LibreCat-ID: 10145
M. Ahmadi Fahandar and E. Hüllermeier, “Learning to Rank Based on Analogical Reasoning,” in Proc. 32 nd AAAI Conference on Artificial Intelligence (AAAI), 2018, pp. 2951–2958.
LibreCat
 
[193]
2018 | Journal Article | LibreCat-ID: 10784
F. Mohr, M. D. Wever, and E. Hüllermeier, “ML-Plan: Automated machine learning via hierarchical planning,” Machine Learning, vol. 107, no. 8–10, pp. 1495–1515, 2018.
LibreCat
 
[192]
2018 | Conference Paper | LibreCat-ID: 10188
M. D. Wever, F. Mohr, and E. Hüllermeier, “Ensembles of evolved nested dichotomies for classificaton,” in Proc. Genetic and Evolutionary Computation Conference (GECCO), 2018, pp. 561–568.
LibreCat
 
[191]
2018 | Journal Article | LibreCat-ID: 3510
F. Mohr, M. D. Wever, and E. Hüllermeier, “ML-Plan: Automated Machine Learning via Hierarchical Planning,” Machine Learning, 2018.
LibreCat | Files available | DOI | Download (ext.)
 
[190]
2017 | Conference Paper | LibreCat-ID: 1180
M. D. Wever, F. Mohr, and E. Hüllermeier, “Automatic Machine Learning: Hierachical Planning Versus Evolutionary Optimization,” in 27th Workshop Computational Intelligence, Dortmund, 2017.
LibreCat | Files available | Download (ext.)
 
[189]
2017 | Conference Paper | LibreCat-ID: 10204
R. Ewerth et al., “Estimating relative depth in single images via rankboost,” in Proc. IEEE Int. Conf. on Multimedia and Expo (ICME 2017), 2017, pp. 919–924.
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[188]
2017 | Conference Paper | LibreCat-ID: 10216
A. Shaker, W. Heldt, and E. Hüllermeier, “Learning TSK Fuzzy Rules from Data Streams,” in Proceedings ECML/PKDD, European Conference on Machine Learning and Knowledge Discovery in Databases, Skopje, Macedonia, 2017.
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[187]
2017 | Conference Paper | LibreCat-ID: 10209
M. Ahmadi Fahandar and E. Hüllermeier, “Learning to Rank based on Analogical Reasoning,” in Proc. AAAI 2017, 32nd AAAI Conference on Artificial Intelligence, 2017.
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[186]
2017 | Conference Paper | LibreCat-ID: 15110
I. Couso, D. Dubois, and E. Hüllermeier, “Maximum likelihood estimation and coarse data,” in in Proceedings SUM 2017, 11th International Conference on Scalable Uncertainty Management, Granada, Spain, 2017, pp. 3–16.
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[185]
2017 | Conference Paper | LibreCat-ID: 10205
M. Ahmadi Fahandar, E. Hüllermeier, and I. Couso, “Statistical Inference for Incomplete Ranking Data: The Case of Rank-Dependent  Coarsening,” in Proc. 34th Int. Conf. on Machine Learning (ICML 2017), 2017, pp. 1078–1087.
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[184]
2017 | Conference Paper | LibreCat-ID: 10212
F. Hoffmann, E. Hüllermeier, and R. Mikut, “(Hrsg.) Proceedings 27. Workshop Computational Intelligence, KIT Scientific Publishing, Karlsruhe, Germany 2017,” 2017.
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[183]
2017 | Journal Article | LibreCat-ID: 10267
M. Bräuning, E. Hüllermeier, T. Keller, and M. Glaum, “Lexicographic preferences for predictive modeling of human decision making. A new machine learning method with an application  in accounting,” European Journal of Operational Research, vol. 258, no. 1, pp. 295–306, 2017.
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[182]
2017 | Encyclopedia Article | LibreCat-ID: 10589
J. Fürnkranz and E. Hüllermeier, “Preference Learning,” in Encyclopedia of Machine Learning and Data Mining, 2017, pp. 1000–1005.
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[181]
2017 | Conference Paper | LibreCat-ID: 15399
M. Czech, E. Hüllermeier, M. C. Jacobs, and H. Wehrheim, “Predicting rankings of software verification tools,” in in Proceedings ESEC/FSE Workshops 2017 - 3rd ACM SIGSOFT, International Workshop on Software Analytics (SWAN 2017), Paderborn Germany, 2017.
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[180]
2017 | Conference Paper | LibreCat-ID: 10213
V. Melnikov and E. Hüllermeier, “Optimizing the Structure of Nested Dichotomies: A Comparison of Two Heuristics,” in Proceedings 27. Workshop Computational Intelligence, Dortmund, Germany 2017, 2017, pp. 1–12.
LibreCat
 
[179]
2017 | Conference Paper | LibreCat-ID: 10206
F. Mohr, T. Lettmann, and E. Hüllermeier, “Planning with Independent Task Networks,” in Proc. 40th Annual German Conference on Advances in Artificial Intelligence (KI 2017), 2017, pp. 193–206.
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[178]
2017 | Journal Article | LibreCat-ID: 10268
M.-C. Platenius, A. Shaker, M. Becker, E. Hüllermeier, and W. Schäfer, “Imprecise Matching of Requirements Specifications for Software Services Using Fuzzy Logic,” IEEE Transactions on Software Engineering, vol. 43, no. 8, pp. 739–759, 2017.
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[177]
2017 | Conference Paper | LibreCat-ID: 10214
M. D. Wever, F. Mohr, and E. Hüllermeier, “Automatic Machine Learning: Hierarchical Planning Versus Evolutionary Optimization ,” in Proceedings 27. Workshop Computational Intelligence, Dortmund, Germany 2017, 2017, pp. 149–166.
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[176]
2017 | Conference Paper | LibreCat-ID: 10207
M. Czech, E. Hüllermeier, M.-C. Jakobs, and H. Wehrheim, “Predicting rankings of software verification tools,” in Proc. 3rd ACM SIGSOFT Int. I Workshop on Software Analytics (SWAN@ESEC/SIGSOFT FSE 2017, 2017, pp. 23–26.
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[175]
2017 | Journal Article | LibreCat-ID: 10269
E. Hüllermeier, “From Knowledge-based to Data-driven Modeling of Fuzzy Rule-based Systems: A Critical Reflection,” The Computing Research Repository  (CoRR), 2017.
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[174]
2017 | Conference Paper | LibreCat-ID: 15396
M. D. Wever, F. Mohr, and E. Hüllermeier, “Automatic machine learning: Hierarchical planning versus evolutionary optimization,” in in Proceedings 27th Workshop Computational Intelligence, Dortmund Germany, 2017, pp. 149–166.
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[173]
2017 | Conference Paper | LibreCat-ID: 10208
I. Couso, D. Dubois, and E. Hüllermeier, “Maximum Likelihood Estimation and Coarse Data,” in Proc. 11th Int. Conf. on Scalable Uncertainty Management (SUM 2017), 2017, pp. 3–16.
LibreCat
 
[172]
2017 | Conference Paper | LibreCat-ID: 15397
V. Melnikov and E. Hüllermeier, “Optimizing the structure of nested dichotomies. A comparison of two heuristics,” in in Proceedings 27th Workshop Computational Intelligence, Dortmund Germany, 2017, pp. 1–12.
LibreCat
 
[171]
2016 | Conference Paper | LibreCat-ID: 10228
D. Schäfer and E. Hüllermeier, “Preference-Based Reinforcement Learning Using Dyad Ranking,” in Proceedings DA2PL ´2016, Euro Mini Conference from Multiple Criteria Decision Aid to Preference Learning, 2016.
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[170]
2016 | Conference Paper | LibreCat-ID: 10223
V. Melnikov and E. Hüllermeier, “Learning to aggregate using uninorms,  in Proceedings ECML/PKDD-2016,” in European Conference on Machine Learning and Knowledge Discovery in Databases, Part II, Riva del Garda, Italy, 2016, pp. 756–771.
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[169]
2016 | Conference Paper | LibreCat-ID: 10230
S. Lu and E. Hüllermeier, “Support vector classification on noisy data using fuzzy supersets losses,” in Proceedings 26. Workshop Computational Intelligence, KIT Scientific Publishing, 2016, pp. 1–8.
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[168]
2016 | Journal Article | LibreCat-ID: 10266
M. Riemenschneider, R. Senge, U. Neumann, E. Hüllermeier, and D. Heider, “Exploiting HIV-1 protease and reverse transcriptase cross-resistance information for improved drug resistance prediction by means of multi-label classification,” BioData Mining, vol. 9, no. 10, 2016.
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[167]
2016 | Encyclopedia Article | LibreCat-ID: 10785
J. Fürnkranz and E. Hüllermeier, “Preference Learning,” in Encyclopedia of Machine Learning and Data Mining, C. Sammut and G. I. Webb, Eds. Springer, 2016.
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[166]
2016 | Conference Paper | LibreCat-ID: 15401
D. Schäfer and E. Hüllermeier, “Preference -based reinforcement learning using dyad ranking,” in in Proceedings DA2PL`2016 Euro Mini Conference From Multiple Criteria Decision Aid to Preference Learning, Paderborn, Germany, 2016.
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[165]
2016 | Conference Paper | LibreCat-ID: 10224
K. Dembczynski, W. Kotlowski, W. Waegeman, R. Busa-Fekete, and E. Hüllermeier, “Consistency of probalistic classifier trees,” 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.
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[164]
2016 | Conference Paper | LibreCat-ID: 10229
I. Couso, M. Ahmadi Fahandar, and E. Hüllermeier, “Statistical Inference for Incomplete Ranking Data: A Comparison of two likelihood-based estimators,” in Proceedings DA2PL ´2016, Euro Mini Conference from Multiple Criteria Decision Aid to Preference Learning, 2016.
LibreCat
 
[163]
2016 | Conference Paper | LibreCat-ID: 10231
D. Schäfer and E. Hüllermeier, “Plackett-Luce networks for dyad ranking,” in In Workshop LWDA “Lernen, Wissen, Daten, Analysen,” 2016.
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[162]
2016 | Conference Paper | LibreCat-ID: 15111
K. Pfannschmidt, E. Hüllermeier, S. Held, and R. Neiger, “Evaluating tests in medical  diagnosis-Combining machine learning with game-theoretical concepts,” in In Proceedings IPMU 16th International Conference on Information Processing and Management  of Uncertainty in Knowledge-Based Systems, Part 1, Eindhoven, The Netherlands, 2016, pp. 450–461.
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[161]
2016 | Conference Paper | LibreCat-ID: 15402
I. Couso, M. Ahmadi Fahandar, and E. Hüllermeier, “Statistical Inference for Incomplete Ranking Data: A Comparison of two likelihood-based estimators,” in in Proceedings DA2PL 2016 EURO Mini Conference From Multiple Criteria Decision Aid to Preference Learning, Paderborn Germany, 2016.
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[160]
2016 | Conference Paper | LibreCat-ID: 10225
A. Shabani, A. Paul, R. Platon, and E. Hüllermeier, “Predicting the electricity consumption of buildings: An improved CBR approach,” in In Proceedings ICCBR, 24th International Conference on Case-Based Reasoning, Atlanta, GA, USA, 2016, pp. 356–369.
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[159]
2016 | Conference (Editor) | LibreCat-ID: 10263
G. A. Kaminka et al., Eds., ECAI 2016, 22nd European Conference on Artificial Intelligence, including PAIS 2016, Prestigious Applications of Artificial Intelligence, vol. 285. The Hague, The Netherlands: IOS Press, 2016.
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[158]
2016 | Conference Paper | LibreCat-ID: 15403
S. Lu and E. Hüllermeier, “Support vector classification on noisy data using fuzzy superset losses,” in in Proceedings 26th Workshop Computational Intelligence, Dortmund Germany, 2016, pp. 1–8.
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[157]
2016 | Conference Paper | LibreCat-ID: 10226
K. Pfannschmidt, E. Hüllermeier, S. Held, and R. Neiger, “Evaluating tests in medical  diagnosis-Combining machine learning with game-theoretical concepts,” in In Proceedings IPMU 16th International Conference on Information Processing and Management  of Uncertainty in Knowledge-Based Systems, Part 1, Eindhoven, The Netherlands, 2016, pp. 450–461.
LibreCat
 
[156]
2016 | Conference (Editor) | LibreCat-ID: 10221
F. Hoffmann, E. Hüllermeier, and R. Mikut, Eds., Proceedings 26. Workshop Computational Intelligence KIT Scientific Publishing, Karlsruhe, Germany. 2016.
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[155]
2016 | Journal Article | LibreCat-ID: 10264
M. Leinweber et al., “CavSimBase: A database for large scale comparison of protein binding sites,” IEEE Transactions on Knowledge and Data Engineering, vol. 28, no. 6, pp. 1423–1434, 2016.
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[154]
2016 | Conference Paper | LibreCat-ID: 15404
D. Schäfer and E. Hüllermeier, “Plackett-Luce networks for dyad ranking,” in in Workshop LWDA “Lernen, Wissen, Daten, Analysen” Potsdam, Germany, 2016.
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[153]
2016 | Conference Paper | LibreCat-ID: 10227
C. Labreuche, E. Hüllermeier, P. Vojtas, and A. Fallah Tehrani, “On the Identifiability of models in multi-criteria preference learning ,” in Proceedings DA2PL ´2016, Euro Mini Conference from Multiple Criteria Decision Aid to Preference Learning, 2016.
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[152]
2016 | Conference Paper | LibreCat-ID: 10222
K. Jasinska, K. Dembczynski, R. Busa-Fekete, T. Klerx, and E. Hüllermeier, “Extreme F-measure maximization using sparse probability estimates ,” in Proceedings ICML-2016, 33th International Conference on Machine Learning, New York, USA, 2016.
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[151]
2016 | Conference Paper | LibreCat-ID: 15400
C. Labreuche, E. Hüllermeier, P. Vojtas, and A. Fallah Tehrani, “On the identifiability of models  in multi-criteria preference learning,” in in Proceedings DA2PL 2016 EURO Mini Conference From Multiple Criteria Decision Aid to Preference Learning, Paderborn Germany, 2016.
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[150]
2015 | Journal Article | LibreCat-ID: 4792
R. Senge and E. Hüllermeier, “Fast Fuzzy Pattern Tree Learning for Classification,” IEEE Transactions on Fuzzy Systems, vol. 23, no. 6, pp. 2024–2033, 2015.
LibreCat | Files available | DOI
 
[149]
2015 | Conference Paper | LibreCat-ID: 10242
B. Szörényi, R. Busa-Fekete, K. Dembczynski, and E. Hüllermeier, “Online F-Measure Optimization,” in in Advances in Neural Information Processing Systems 28 (NIPS 2015), 2015, pp. 595–603.
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[148]
2015 | Conference Paper | LibreCat-ID: 10235
F. Hoffmann and E. Hüllermeier, “Proceedings 25. Workshop Computational Intelligence KIT Scientific Publishing,” 2015.
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[147]
2015 | Journal Article | LibreCat-ID: 10324
R. Senge and E. Hüllermeier, “Fast Fuzzy Pattern Tree Learning of Classification,” IEEE Transactions on Fuzzy Systems, vol. 23, no. 6, pp. 2024–2033, 2015.
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[146]
2015 | Conference Paper | LibreCat-ID: 15406
D. Schäfer and E. Hüllermeier, “Preference-based meta-learning using dyad ranking: Recommending algorithms in cold-start situations,” in in Proceedings of the 2015 international Workshop on Meta-Learning and Algorithm Selection co-located ECML/PKDD, Porto, Portugal, 2015, pp. 110–111.
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[145]
2015 | Conference Paper | LibreCat-ID: 10243
A. El Mesaoudi-Paul and E. Hüllermeier, “A CBR Approach to the Angry Birds Game,” in in Workshop Proc. 23rd International Conference on Case-Based Reasoning (ICCBR 2015), 2015, pp. 68–77.
LibreCat
 
[144]
2015 | Conference Paper | LibreCat-ID: 10236
A. Abdel-Aziz and E. Hüllermeier, “Case Base Maintenance in Preference-Based CBR,” in In Proceedings 23rd International Conference on Case-Based Reasoning (ICCBR 2015), 2015, pp. 1–14.
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[143]
2015 | Journal Article | LibreCat-ID: 10320
E. Hüllermeier, “Does machine learning need fuzzy logic?,” Fuzzy Sets and Systems, vol. 281, pp. 292–299, 2015.
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[142]
2015 | Conference Paper | LibreCat-ID: 10244
D. Schäfer and E. Hüllermeier, “Preference-Based Meta- Learning Using Dyad Ranking: Recommending Algorithms in Cold-Start Situations,” in in Proceedings of the 2015 International Workshop on Meta-Learning and Algorithm Selection (MetaSel@PKDD/ECML), 2015, pp. 110–111.
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[141]
2015 | Conference Paper | LibreCat-ID: 10237
B. Szörényi, R. Busa-Fekete, P. Weng, and E. Hüllermeier, “Qualitative Multi-Armed Bandits: A Quantile-Based Approach,” in In Proceedings International Conference on Machine Learning (ICML 2015), 2015, pp. 1660–1668.
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[140]
2015 | Journal Article | LibreCat-ID: 10319
W. Waegeman, K. Dembczynski, A. Jachnik, W. Cheng, and E. Hüllermeier, “On the Bayes-Optimality of F-Measure Maximizers,” in Journal of Machine Learning Research, vol. 15, pp. 3333–3388, 2015.
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[139]
2015 | Journal Article | LibreCat-ID: 10321
A. Shaker and E. Hüllermeier, “Recovery analysis for adaptive learning from non-stationary data streams: Experimental design and case study,” Neurocomputing, vol. 150, pp. 250–264, 2015.
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[138]
2015 | Conference Paper | LibreCat-ID: 10240
S. Henzgen and E. Hüllermeier, “Weighted Rank Correlation : A Flexible Approach Based on Fuzzy Order Relations,” in in Proceedings European Conference on Machine Learning and Knowledge Discovery in Databases (ECML/PKDD), 2015, pp. 422–437.
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[137]
2015 | Conference Paper | LibreCat-ID: 10238
D. Schäfer and E. Hüllermeier, “Dyad Ranking Using A Bilinear Plackett-Luce Model,” in in Proceedings European Conference on Machine Learning and Knowledge Discovery in Databases (ECML/PKDD), 2015, pp. 227–242.
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[136]
2015 | Conference Paper | LibreCat-ID: 10245
S. Lu and E. Hüllermeier, “Locally weighted regression through data imprecisiation,” in Proceedings 25. Workshop Computational Intelligence, 2015, pp. 97–104.
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[135]
2015 | Journal Article | LibreCat-ID: 10322
E. Hüllermeier, “From Knowledge-based to Data-driven fuzzy modeling-Development, criticism and alternative directions,” Informatik Spektrum, vol. 38, no. 6, pp. 500–509, 2015.
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[134]
2015 | Conference Paper | LibreCat-ID: 10234
E. Hüllermeier and M. Minor, “Case-Based Reasoning Research and Development ,” in in Proceedings 23rd International Conference on Case-Based Reasoning (ICCBR 2015) LNAI 9343, 2015.
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[133]
2015 | Conference Paper | LibreCat-ID: 10241
B. Szörényi, R. Busa-Fekete, A. Paul, and E. Hüllermeier, “Online Rank Elicitation for Plackett-Luce: A Dueling Bandits Approach,” in in Advances in Neural Information Processing Systems 28 (NIPS 2015), 2015, pp. 604–612.
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[132]
2015 | Conference Paper | LibreCat-ID: 10246
R. Ewerth, A. Balz, J. Gehlhaar, K. Dembczynski, and E. Hüllermeier, “Depth estimation in monocular images: Quantitative versus qualitative approaches,” in Proceedings 25. Workshop Computational Intelligence, 2015, pp. 235–240.
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[131]
2015 | Conference Paper | LibreCat-ID: 10239
E. Hüllermeier and W. Cheng, “Superset Learning Based on Generalized Loss Minimization ,” in in Proceedings European Conference on Machine Learning and Knowledge Discovery in Databases (ECML/PKDD), 2015, pp. 260–275.
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[130]
2015 | Journal Article | LibreCat-ID: 10323
S. Garcia-Jimenez, U. Bustince, E. Hüllermeier, R. Mesiar, N. R. Pal, and A. Pradera, “Overlap Indices: Construction of and Application of Interpolative Fuzzy Systems,” IEEE Transactions on Fuzzy Systems, vol. 23, no. 4, pp. 1259–1273, 2015.
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[129]
2014 | Conference Paper | LibreCat-ID: 10254
T. Calders, F. Esposito, E. Hüllermeier, and R. Meo, “Machine Learning and Knowledge Discovery in Databases-European Conf. ECML/PKDD, Nancy, France,” in Proceedings, Parts I-III. Lecture Notes in Computer Science, 2014, pp. 8724–8726.
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[128]
2014 | Conference Paper | LibreCat-ID: 10247
R. Busa-Fekete, B. Szörényi, and E. Hüllermeier, “PAC Rank Elicitation through Adaptive Sampling of Stochastic Pairwise Preferences,” in Proceedings AAAI 2014, Quebec, Canada, 2014, pp. 1701–1707.
LibreCat
 
[127]
2014 | Journal Article | LibreCat-ID: 10297
F. Hoffmann, E. Hüllermeier, and A. Kroll, “Ausgewählte Beiträge des GMA-Fachausschusses 5.14,” Computational Intelligence Automatisierungstechnik, vol. 62, no. 10, pp. 685–686, 2014.
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[126]
2014 | Journal Article | LibreCat-ID: 10312
M. Mernberger, M. Moog, S. Stork, S. Zauner, U. G. Maier, and E. Hüllermeier, “Protein Sub-Cellular Localization Prediction for Special compartments via Optimized Time Series Distances,” J. Bioinformatics and Computational Biology, vol. 12, no. 1, 2014.
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[125]
2014 | Journal Article | LibreCat-ID: 10317
T. Krotzky, T. Fober, E. Hüllermeier, and G. Klebe, “Extended Graph-Based Models for Enhanced Similarity Search in Cavbase,” IEEE/ACM Trans. Comput. Biology Bioinform., vol. 11, no. 5, pp. 878–890, 2014.
LibreCat
 
[124]
2014 | Conference Paper | LibreCat-ID: 10248
R. Busa-Fekete and E. Hüllermeier, “A Survey of Preference-Based Online Learning with Bandit Algorithms,” in Proceedings Int. Conf. on Algorithmic Learning Theory (ALT), Bled, Slovenia, 2014, pp. 18–39.
LibreCat
 
[123]
2014 | Conference Paper | LibreCat-ID: 10250
A. Fallah Tehrani, M. Strickert, and E. Hüllermeier, “The Choquet kernel for monotone data,” in Proceedings ESANN , Bruges, Belgium, 2014.
LibreCat
 
[122]
2014 | Journal Article | LibreCat-ID: 10298
T. Calders, F. Esposito, E. Hüllermeier, and R. Meo, “Guest editors`introduction:special issue of the ECML/PKDD 2014 journal track,” Data Min. Knowledge Discovery, vol. 28, no. 5–6, pp. 1129–1133, 2014.
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[121]
2014 | Journal Article | LibreCat-ID: 10318
M. Stock et al., “Identification of Functionally Releated Enzymes by Learning to Rank Methods,” IEEE/ACM Trans. Comput. Biology Bioinform., vol. 11, no. 6, pp. 1157–1169, 2014.
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[120]
2014 | Journal Article | LibreCat-ID: 10313
T. Calders, F. Esposito, E. Hüllermeier, and R. Meo, “Guest editors`introduction:special issue of the ECML/PKDD 2014 journal track,” Machine Learning, vol. 97, no. 1–2, pp. 1–3, 2014.
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[119]
2014 | Conference Paper | LibreCat-ID: 10251
A. Abdel-Aziz, M. Strickert, and E. Hüllermeier, “Learning Solution Similarity in Preference-Based CBR,” in Proceedings Int. Conf. Case-Based Reasoning (ICCBR), Cork, Ireland, 2014, pp. 17–31.
LibreCat
 
[118]
2014 | Conference Paper | LibreCat-ID: 10249
S. Henzgen and E. Hüllermeier, “Mining Rank Data,” in Proceedings Discovery Science, Bled,Slovenia , 2014, pp. 123–134.
LibreCat
 
[117]
2014 | Journal Article | LibreCat-ID: 10299
S. Henzgen, M. Strickert, and E. Hüllermeier, “Visualization of evolving fuzzy rule-based systems,” Evolving Systems, vol. 5, no. 3, pp. 175–191, 2014.
LibreCat
 
[116]
2014 | Journal Article | LibreCat-ID: 10314
R. Busa-Fekete, B. Szörényi, P. Weng, W. Cheng, and E. Hüllermeier, “Preference-Based Reinforcement Learning: evolutionary direct policy search using a preference-based racing algorithm,” Machine Learning, vol. 97, no. 3, pp. 327–351, 2014.
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[115]
2014 | Conference Paper | LibreCat-ID: 10295
J. Fürnkranz, E. Hüllermeier, C. Rudin, R. Slowinski, and S. Sanner, “Preference Learning (Dagstuhl Seminar 14101) Dagstuhl Reports,” 2014, vol. 4, no. 3, pp. 1–27.
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[114]
2014 | Journal Article | LibreCat-ID: 10308
E. Hüllermeier, “Learning from imprecise and fuzzy observations: Data disambiguation through generalized loss minimization,” Int. J. Approx. Reasoning, vol. 55, no. 7, pp. 1519–1534, 2014.
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[113]
2014 | Journal Article | LibreCat-ID: 10315
E. Montanés, R. Senge, J. Barranquero, J. R. Quevedo, J. J. Del Coz, and E. Hüllermeier, “Dependent binary relevance models for multi-label classification,” Pattern Recognition, vol. 47, no. 3, pp. 1494–1508, 2014.
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[112]
2014 | Journal Article | LibreCat-ID: 10310
M. Strickert, K. Bunte, F.-M. Schleif, and E. Hüllermeier, “Correlation-based embedding of pairwise score data,” Neurocomputing, vol. 141, pp. 97–109, 2014.
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[111]
2014 | Conference Paper | LibreCat-ID: 10253
D. Schäfer and E. Hüllermeier, “Dyad Ranking Using A Bilinear Plackett-Luce Model,” in Proceedings Lernen-Wissensentdeckung-Adaptivität (LWA), Aachen, Germany, 2014, pp. 32–33.
LibreCat
 
[110]
2014 | Journal Article | LibreCat-ID: 10309
E. Hüllermeier, “Rejoinder on "Learning from imprecise and fuzzy observations: Data disambiguation through generalized loss minimization,” Int. J. Approx. Reasoning, vol. 55, no. 7, pp. 1609–1613, 2014.
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[109]
2014 | Journal Article | LibreCat-ID: 10311
R. Senge et al., “Reliable classification: Learning classifiers that distinguish aleatoric and epistemic uncertainty,” Information Sciences, vol. 255, pp. 16–29, 2014.
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[108]
2014 | Journal Article | LibreCat-ID: 10316
G. Krempl et al., “Open challenges for data stream mining research,” SIGKDD Explorations, vol. 16, no. 1, pp. 1–10, 2014.
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[107]
2014 | Journal Article | LibreCat-ID: 10296
A. Shaker and E. Hüllermeier, “Survival analysis on data streams: Analyzing temporal events in dynamically changing environments,” Applied Mathematics and Computer Science, vol. 24, no. 1, pp. 199–212, 2014.
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[106]
2013 | Conference Paper | LibreCat-ID: 13119
S. Henzgen, M. Strickert, and E. Hüllermeier, “Rule chains for visualizing evolving fuzzy rule-based systems,” in in Proceedings CORES 2013, 8th International Conference on Computer Recognition Systems, Wroclaw, Poland, 2013, pp. 279–288.
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[105]
2013 | Conference Paper | LibreCat-ID: 13190
A. Shaker and E. Hüllermeier, “Recovery analysis for adaptive learning from non-stationary data streams,” in in Proceedings CORES 2013, 8th International Conference on Computer Recognition Systems, Wroclaw, Poland, 2013, pp. 289–298.
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[104]
2013 | Conference Paper | LibreCat-ID: 13115
G. Szarvas, R. Busa-Fekete, and E. Hüllermeier, “Learning to rank lexical substitutions,” in In Proceedings EMNLP-2013 Conference on Empirical Methods in Natural Language Processing, Seattle, USA, 2013.
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[103]
2013 | Conference Paper | LibreCat-ID: 13116
K. Dembczynski, A. Jachnik, W. Kotlowski, W. Waegeman, and E. Hüllermeier, “Optimizing the F-measure in multi-label classification: Plug-in rule approach versus structured loss minimization,” in in Proceedings ICML-2013, 30th International Conference on Machine Learning, Atlanta, USA, 2013, pp. 1130–1138.
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[102]
2013 | Conference Paper | LibreCat-ID: 15112
A. Fallah Tehrani and E. Hüllermeier, “Ordinal Choquistic regression ,” in in Proceedings EUSFLAT-2013 8th International Conference on the European Society for Fuzzy Logic and Technology, Milano, Italy, 2013.
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[101]
2013 | Conference Paper | LibreCat-ID: 13117
R. Busa-Fekete, B. Szoreny, P. Weng, W. Cheng, and E. Hüllermeier, “Top-k selection based on adaptive sampling of noisy preferences,” in in Proceedings ICML-2013, 30th International Conference on Machine Learning, Atlanta, USA, 2013, pp. 1094–1102.
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[100]
2013 | Conference Paper | LibreCat-ID: 15113
N. Nasiri, T. Fober, R. Senge, and E. Hüllermeier, “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,” in in Proceedings IFSA-2013 World Congress of the International Fuzzy Systems Association, Edmonton, Canada, 2013, pp. 715–721.
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[99]
2013 | Conference Paper | LibreCat-ID: 13118
E. Hüllermeier and W. Cheng, “Preference-based CBR: General ideas and basic principles,” in in Proceedings IJCAI-13, 23rd international Joint Conference on Artificial Intelligence, Beijing, China, 2013, pp. 3012–3016.
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[98]
2012 | Conference Paper | LibreCat-ID: 13191
W. Cheng and E. Hüllermeier, “Probability estimation for mulit-class classification based on label ranking,” in Proceedings ECML/PKDD-2012, European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, Bristol, UK, 2012.
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[97]
2012 | Conference Paper | LibreCat-ID: 13192
K. Dembczynski, W. Kotlowski, and E. Hüllermeier, “Consistent multilabel ranking through univariate loss minimization,” in in Proceedings ICML-2012,  International Conference on Machine Learning, Edinburgh, Scotland, 2012.
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[96]
2012 | Conference Paper | LibreCat-ID: 15299
M. Leinweber et al., “GPU-based cloud computing for comparing the structure of protein binding sites,” in in Proceedings IEEE Conference on Digital Ecosystem Technologies-Complex Environment Engineering Campione d`Italia, Italy, 2012.
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[95]
2012 | Conference Paper | LibreCat-ID: 13193
K. Dembczynski, W. Waegeman, and E. Hüllermeier, “An analysis of chaining in multi-label classification,” in In Proceedings ECAI-2012, 20th European Conference on Artificial Inteligence, Montpellier, France , 2012, pp. 294–299.
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[94]
2012 | Conference Paper | LibreCat-ID: 13120
W. Cheng, E. Hüllermeier, W. Waegeman, and V. Welker, “Label ranking with partial abstention based on thresholded probalistic models,” in In Proceedings NIPS-2012, 26th Annual Conference on Neural Information Processing Systems, Lake Tahoe, Nevada, USA, 2012.
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[93]
2012 | Conference Paper | LibreCat-ID: 15114
E. Hüllermeier and A. Fallah Tehrani, “On the VC dimension of the Choquet integral,” in In Proceedings IPMU-2012 14th International Conference on Information Processing and Management  of Uncertainty in Knowledge-Based Systems, Part 1, Catania, Italy, 2012.
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[92]
2011 | Conference Paper | LibreCat-ID: 13195
W. Cheng, J. Fuernkranz, E. Hüllermeier, and S. H. Park, “Preference-based policy iteration: Leveraging preference learning for reinforcement learning,” in Proceedings ECML/PKDD-2011, European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, Athens, Greece, , 2011.
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[91]
2011 | Conference Paper | LibreCat-ID: 15115
M. Nasiri, E. Hüllermeier, R. Senge, and E. Lughofer, “Comparing methods for knowledge-driven and data-driven fuzzy modeling: A case study in textile industry,” in in Proceedings IFSA-2011 World Congress of the International Fuzzy Systems Association, Surabaya and Bali Island, Indonesia, 2011, p. RW-103-1-6.
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[90]
2011 | Conference Paper | LibreCat-ID: 13196
J. Fürnkranz and E. Hüllermeier, “Learning from label preferences,” in in Proceedings DS-2011, 14th International  Conference on Discovery Science, number 6926 in LNAI, 2011, pp. 2–17.
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[89]
2011 | Conference Paper | LibreCat-ID: 13588
W. Kotlowski, K. Dembczynski, and E. Hüllermeier, “Bipartite ranking through minimization of univariate loss,” in in Proceedings ICML-2011, 28th International Conference on Machine Learning, Washington, USA, 2011.
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[88]
2011 | Conference Paper | LibreCat-ID: 15116
E. Lughofer and E. Hüllermeier, “On-line redundancy deletion in evolving fuzzy regression models using a fuzzy inclusion measure,” in in Proceedings EUSFLAT-2011 7th International Conference on the European Society for Fuzzy Logic and Technology, Aix-les-Bains, France, 2011, pp. 380–387.
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[87]
2011 | Conference Paper | LibreCat-ID: 13197
A. Fallah Tehrani, W. Cheng, K. Dembczynski, and E. Hüllermeier, “Learning  monotone nonlinear models using the Choquet integral,” in In Proceedings ECML/PKDD-2011, European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, Athens, Greece, 2011.
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[86]
2011 | Conference Paper | LibreCat-ID: 15117
A. Fallah Tehrani, W. Cheng, and E. Hüllermeier, “Choquistic regression: Generalizing logistic regression using the Choquet integral,” 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.
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[85]
2011 | Conference Paper | LibreCat-ID: 13198
E. Hüllermeier and P. Schlegel, “Preference-based CBR: First steps toward a methodological framework,” in In Proceedings ICCBR-2011, 19th International Conference on Case-Based Reasoning, number 6880 in LNAI, 2011, pp. 77–91.
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[84]
2011 | Conference Paper | LibreCat-ID: 13194
K. Dembczynski, W. Waegeman, W. Cheng, and E. Hüllermeier, “An exact algorithm for F-measure maximization,” in In Proceedings NIPS-2011, 25th Annual Conference on Neural Information Processing Systems, Granada, Spain, 2011.
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[83]
2010 | Conference Paper | LibreCat-ID: 13594
W. Cheng, M. Rademaker, B. De Beats, and E. Hüllermeier, “Predicting partial orders: Ranking with abstention,” in In Proceedings ECML/PKDD-2010, European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, ,Bareclona, Spain, 2010.
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[82]
2010 | Conference Paper | LibreCat-ID: 13590
W. Cheng, K. Dembczynski, and E. Hüllermeier, “Label ranking based on the Plackett-Luce model,” in in Proceedings ICML-2010, 27th International Conference on Machine Learning, Haifa, Israel, 2010, pp. 215–222.
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[81]
2010 | Conference Paper | LibreCat-ID: 13589
K. Dembczynski, W. Cheng, and E. Hüllermeier, “Bayes optimal multilabel classification via probalistic classifier chains,” in in Proceedings ICML-2010, 27th International Conference on Machine Learning, Haifa, Israel, 2010, pp. 279–286.
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[80]
2010 | Conference Paper | LibreCat-ID: 13591
W. Cheng, K. Dembczynski, and E. Hüllermeier, “Graded multi-label classification: The ordinal case,” in in Proceedings ICML-2010, 27th International Conference on Machine Learning, Haifa, Israel, 2010.
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[79]
2010 | Conference Paper | LibreCat-ID: 13597
E. Hüllermeier, “Uncertainty in clustering and classification ,” in in Proceedings SUM 2010, International Conference on Scalable Uncertainty Management , 2010, vol. 6379, no. LNCS, pp. 16–19.
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[78]
2010 | Conference Paper | LibreCat-ID: 15118
T. Fober and E. Hüllermeier, “Similarity measures for protein structures based on fuzzy histogram comparison,” in in Proceedings WCCI-2010, World Congress on Computational Intelligence, Barcelona, Spain, 2010.
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[77]
2010 | Conference Paper | LibreCat-ID: 13593
K. Dembczynski, W. Waegeman, W. Cheng, and E. Hüllermeier, “Regret analysis for performance metrics in multi-label classification: The case of Hamming and subset zero-one loss,” in In Proceedings ECML/PKDD-2010, European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, ,Bareclona, Spain, 2010.
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[76]
2010 | Conference Paper | LibreCat-ID: 15119
R. Senge and E. Hüllermeier, “Pattern trees for regression and fuzzy systems modeling,” in in Proceedings WCCI-2010, World Congress on Computational Intelligence, Barcelona, Spain, 2010.
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[75]
2009 | Conference Paper | LibreCat-ID: 15196
E. Hüllermeier and M. Rifqi, “A fuzzy variant of the Rand index for comparing clustering structures,” in in Proceedings IFSA / EUSFLAT-2009 World Congress of  the Fuzzy Systems Association, Lissabon, Portugal, 2009, pp. 1294–1298.
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[74]
2009 | Conference Paper | LibreCat-ID: 13595
W. Cheng, J. Hühn, and E. Hüllermeier, “Decision tree and instance-based learning for label ranking,” in in Proceedings ICML-2009, 26th International Conference on Machine Learning, Montreal, Canada, 2009, pp. 161–168.
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[73]
2009 | Conference Paper | LibreCat-ID: 13596
J. Fürnkranz, E. Hüllermeier, and S. Vanderlooy, “Binary decomposition methods for multipartite ranking,” 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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[72]
2009 | Conference Paper | LibreCat-ID: 15120
T. Fober, G. Klebe, and E. Hüllermeier, “Efficient construction of multiple geometrical alignments for the comparison of protein binding sites,” in in Proceedings ISDA-2009, 9th international Conference on Intelligent Systems Design and Applications, Pisa, Italy, 2009, pp. 1251–1256.
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[71]
2009 | Conference Paper | LibreCat-ID: 13598
W. Cheng and E. Hüllermeier, “A new instance-based label ranking approach using the Mallows model. In Advances in Neural Networks,” in in Proceedings 6th International Symposium on Neural Networks, Wuhan, China, 2009, no. LNCS 5551, pp. 707–716.
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[70]
2009 | Conference Paper | LibreCat-ID: 15195
T. Fober and E. Hüllermeier, “Fuzzy modeling of labeled point cloud superposition  for the comparison of protein binding sites,” in in Proceedings IFSA / EUSFLAT-2009 World Congress of  the Fuzzy Systems Association, Lissabon, Portugal, 2009, pp. 1299–1304.
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[69]
2008 | Conference Paper | LibreCat-ID: 13599
E. Hüllermeier, I. Vladimirskiy, B. Prados Suarez, and E. Stauch, “Supporting case-based retrieval by similarity skylines: Basic concepts and extensions,” in in Proceedings ECCBR-2008 9th European Conference on Case-Based  Reasoning, Trier, Germany, 2008, no. LNAI 5239, pp. 240–254.
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[68]
2008 | Conference Paper | LibreCat-ID: 13600
W. Cheng and E. Hüllermeier, “Learning similarity functions from qualitative feedback,” in in Proceedings ECCBR-2008 9th European Conference on Case-Based  Reasoning, Trier, Germany, 2008, no. LNAI 5239, pp. 120–134.
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[67]
2007 | Conference Paper | LibreCat-ID: 14833
K. Brinker and E. Hüllermeier, “Label ranking in case-based reasoning,” in In Proceedings ICCBR-2007, 7th International Conference on Case-Based Reasoning, Belfast, Northern Ireland, 2007, vol. 4626, pp. 77–91.
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[66]
2007 | Conference Paper | LibreCat-ID: 14834
J. Beringer and E. Hüllermeier, “Efficient instance-based learning on data streams,” in In Proceedings ICDM-2007, International Conference on Industrial Data Mining, Leipzig, 2007, pp. 34–48.
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[65]
2007 | Conference Paper | LibreCat-ID: 15197
E. Hüllermeier and K. Brinker, “Fuzzy-relational classificaton : Combining pairwise decomposition techniques with fuzzy preference modeling,” in in Proceedings EUSFLAT-2007 5th International Conference on the European Society for Fuzzy Logic and Technology, Ostrava, Czech Republic, 2007, vol. 1, pp. 353–360.
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[64]
2007 | Conference Paper | LibreCat-ID: 14835
K. Brinker and E. Hüllermeier, “Case-based multilabel ranking,” in in Proceedings IJCAI-07, 20th international Joint Conference on Artificial Intelligence, Hyerabad, India, January 2007, 2007, pp. 701–707.
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[63]
2007 | Conference Paper | LibreCat-ID: 15198
J. Beringer and E. Hüllermeier, “Adaptive optimization of the number of clusters in fuzzy clustering, London 2007,” in in Proceedings FUZZ-IEEE-07, IEEE International Conference on Fuzzy Systems, 2007.
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[62]
2007 | Conference Paper | LibreCat-ID: 15199
E. Hüllermeier, N. Weskamp, G. Klebe, and D. Kuhn, “Graph alignment: Fuzzy pattern mining for the structural analysis of protein active sites,” in in Proceedings FUZZ-IEEE-07, IEEE International Conference on Fuzzy Systems, London, 2007.
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[61]
2007 | Conference Paper | LibreCat-ID: 13601
J. N. Sulzmann, J. Fürnkranz, and E. Hüllermeier, “On pairwise Naive Bayes classifiers,” in In Proceedings ECML-2007, 17th European Conference on Machine Learning, Warsawa, Poland, 2007.
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[60]
2007 | Conference Paper | LibreCat-ID: 14832
E. Hüllermeier and J. Fürnkranz, “On minimizing the position error in label ranking,” in In Proceedings ECML-2007, 17th European Conference on Machine Learning, Warsawa, Poland, September 2007, 2007.
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[59]
2006 | Conference Paper | LibreCat-ID: 14838
K. Brinker, J. Fuernkranz, and E. Hüllermeier, “A unified model for multilabel classification and ranking,” in In Proceedings ECAI-2006, 17th European Conference on Artificial Inteligence, Riva del Garda, Italy, 2006, pp. 489–493.
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[58]
2006 | Conference Paper | LibreCat-ID: 15201
E. Hüllermeier, “Integrating instance-based learning and logistic regression,” in In Proceedings IPMU-2006 11th International Conference on Information Processing and Management  of Uncertainty in Knowledge-Based Systems, Paris, France, 2006.
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2006 | Conference Paper | LibreCat-ID: 15213
E. Hüllermeier, “The Choquet integral as an aggregation operator in case-based learning,” in in Proceeding of the International Conference on Computational Intelligence, 9th Fuzzy Days, Dortmund, 2006, pp. 615–628.
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[56]
2006 | Conference Paper | LibreCat-ID: 14836
K. Bade, E. Hüllermeier, and A. Nürnberger, “Hierarchical classification by expected utility maximization,” in In Proceedings ICDM-2006, IEEE International Conference on Data Mining, 2006, pp. 43–52.
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[55]
2006 | Conference Paper | LibreCat-ID: 14837
K. Brinker and E. Hüllermeier, “Case-based label ranking,” in In Proceedings ECML-2006, 17th European Conference on Machine Learning, Berlin September 2006, 2006, pp. 566–573.
LibreCat
 
[54]
2005 | Conference Paper | LibreCat-ID: 14840
E. Hüllermeier and J. Fürnkranz, “Learning label preferences: Ranking error versus position error,” in In Proceedings IDA-2005, 6th International Symposium on Intelligent Data Analysis, Madrid, 2005, vol. 3646, pp. 180–191.
LibreCat
 
[53]
2005 | Conference Paper | LibreCat-ID: 15216
Y. Yi and E. Hüllermeier, “Learning complexity-boundet rule-based classifiers by combining association analysis and genetic algorithms,” in in Proceedings EUSFLAT-2005 4th International Conference on the European Society for Fuzzy Logic and Technology,  Barcelona, Spain, 2005.
LibreCat
 
[52]
2005 | Conference Paper | LibreCat-ID: 14841
E. Hüllermeier and J. Beringer, “Learning from ambiguously labeled examples,” in In Proceedings IDA-2005, 6th International Symposium on Intelligent Data Analysis, Madrid, 2005, vol. 3646, pp. 168–179.
LibreCat
 
[51]
2005 | Conference Paper | LibreCat-ID: 14839
E. Hüllermeier and C. NN, “A method for combining interacting pieces of evidence in case-based learning,” in in Proceedings IJCAI-05, 19th international Joint Conference on Artificial Intelligence, Edingburgh, Scotland, 2005, pp. 3–8.
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[50]
2005 | Conference Paper | LibreCat-ID: 15105
D. Dubois and E. Hüllermeier, “A notion of comarative probabilistic entroy based on the possibilistic specificity ordering,” in in Proceedings ECSQARU-2005, 8th European Conference of Symbolic and Quantitative Approaches to Reasoning with Uncertainty, Barcelona, Spain, 2005.
LibreCat
 
[49]
2005 | Conference Paper | LibreCat-ID: 15214
I. Karimi and E. Hüllermeier, “A fuzzy-probablistic risk assessment system for natural disasters,” in in Proceedings IFSA-2005, 11th  World Congress of the International Fuzzy System Association, Beijing, China, 2005, pp. 1147–1153.
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[48]
2005 | Conference Paper | LibreCat-ID: 15215
E. Lughofer, E. Hüllermeier, and E. Klement, “Improving the interpretability of data-driven evolving fuzzy systems,” in in Proceedings EUSFLAT-2005 4th International Conference on the European Society for Fuzzy Logic and Technology, Barcelona, Spain, 2005.
LibreCat
 
[47]
2004 | Conference Paper | LibreCat-ID: 15217
E. Hüllermeier and J. Fürnkranz, “Comparison of ranking procedures in pairwise preference learning,” 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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[46]
2004 | Conference Paper | LibreCat-ID: 14842
E. Hüllermeier, “Instance-based prediction with guaranteed confidence,” in In Proceedings ECAI-2004, 16th European Conference on Artificial Inteligence, Valencia, Spain, 2004, pp. 97–101.
LibreCat
 
[45]
2004 | Conference Paper | LibreCat-ID: 15218
E. Hüllermeier and J. Fürnkranz, “Ranking by pairwise comparison: A note on risk minimization,” in in Proceedings FUZZ-IEEE-04, IEEE International Conference on Fuzzy Systems, Budapest, Hungary, 2004.
LibreCat
 
[44]
2004 | Conference Paper | LibreCat-ID: 15220
E. Hüllermeier and J. Beringer, “Learning decision rules from positive and negative preferences,” 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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[43]
2004 | Conference Paper | LibreCat-ID: 15219
I. Karimi, E. Hüllermeier, and K. Meskouris, “An earthquake risk assessment method based on fuzzy probability,” in in Proceedings 6th International FLINS Conference on Applied  Computational Intelligence, Duinse Polders, Blankenberg,Belgien, 2004.
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[42]
2003 | Conference Paper | LibreCat-ID: 15223
E. Hüllermeier, “Inducing fuzzy concepts through extended version space learning,” in in Proceedings IFSA-03 10th International Fuzzy Systems Association World Congress, Istanbul, Turkey, 2003, vol. 2715, pp. 648–677.
LibreCat
 
[41]
2003 | Conference Paper | LibreCat-ID: 15065
E. Hüllermeier, “Regularized learning with flexible constraints,” in In Proceddings IDA-03, 5th International Symposium on Intelligent Data Anaysis, 2003, vol. 2810.
LibreCat
 
[40]
2003 | Conference Paper | LibreCat-ID: 15066
J. Fürnkranz and E. Hüllermeier, “Pairwise preference learning and ranking,” in In Proceedings ECML-2003, 13 th European Conference on Machine Learning, Cavtat-Dubrovnik, Croatia, 2003.
LibreCat
 
[39]
2003 | Conference Paper | LibreCat-ID: 15221
E. Hüllermeier, “Instance-based collaborative filtering with fuzzy labels,” 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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[38]
2003 | Conference Paper | LibreCat-ID: 15222
D. Dubois, E. Hüllermeier, and H. Prade, “A note on quality measures for fuzzy association rules,” in in Proceedings IFSA-03 10th International Fuzzy Systems Association World Congress, Istanbul, Turkey, 2003, vol. 2715, pp. 648–677.
LibreCat
 
[37]
2002 | Conference Paper | LibreCat-ID: 15064
M. De Calmès, D. Dubois, E. Hüllermeier, H. Prade, and F. Sèdes, “A fuzzy set approach to flexible case-based querying: methodology and experimentation,” in in Proceedings KR-02, 8th International Conference on Principles of Knowledge Representation and Reasoning, France, 2002, pp. 449–458.
LibreCat
 
[36]
2002 | Conference Paper | LibreCat-ID: 15228
M. De Calmès, D. Dubois, E. Hüllermeier, H. Prade, and F. Sèdes, “Case-based quering and prediction: A fuzzy set approach,” in in Proceedings FUZZ-IEEE-02, IEEE International Conference on Fuzzy Systems, Honolulu, Hawaii, 2002, pp. 735–740.
LibreCat
 
[35]
2002 | Conference Paper | LibreCat-ID: 14843
E. Hüllermeier, “On the representation and combination of evidence in instance-based learning,” in In Proceedings ECAI-2002, 15th European Conference on Artificial Intelligence, Lyon, France, 2002, pp. 360–364.
LibreCat
 
[34]
2002 | Conference Paper | LibreCat-ID: 15098
E. Hüllermeier, “Association rules for expressing gradual dependencies,” in in Proceedings PKDD-02  6th European Conference on Principles and Practise of Knowledge Discovery in Databases, Helsinki, Finland, 2002, pp. 200–211.
LibreCat
 
[33]
2002 | Conference Paper | LibreCat-ID: 15101
E. Hüllermeier, “Possibilistic induction in decision tree learning,” in in Proceedings ECML-02, 13th European Conference on Machine Learning, Helsinki Finland, 2002, pp. 173–184.
LibreCat
 
[32]
2002 | Conference Paper | LibreCat-ID: 15226
E. Hüllermeier, “Mining implication-based fuzzy association rules in databases,” 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
 
[31]
2002 | Conference Paper | LibreCat-ID: 15227
E. Hüllermeier, “Exploiting similarity and experience in decision making,” in in Proceedings FUZZ-IEEE-02, IEEE International Conference on Fuzzy Systems, Honolulu, Hawaii, 2002, pp. 729–734.
LibreCat
 
[30]
2001 | Conference Paper | LibreCat-ID: 15230
D. Dubois, E. Hüllermeier, and H. Prade, “Toward the representation of implication-based fuzzy rules in terms of crisp rules,” 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
 
[29]
2001 | Conference Paper | LibreCat-ID: 15300
E. Hüllermeier, “Experience-based decision making and learning from examples,” in In Proceedings SOR-01 Symposium on Operations Research, Duisburg, Germany, 2001.
LibreCat
 
[28]
2001 | Conference Paper | LibreCat-ID: 15229
E. Hüllermeier, “Fuzzy association rules: Semantic issues and quality measures,” in in Proceedings of the International Conference on Computational Intelligence 7th Fuzzy Days, Dortmund, Germany, 2001, vol. 2206, pp. 380–391.
LibreCat
 
[27]
2001 | Conference Paper | LibreCat-ID: 15106
E. Hüllermeier, “Implication-based fuzzy association rules,” in in Proceedings PKDD-01  5th European Conference on Principles and Practise of Knowledge Discovery in Databases, Freiburg, Germany, 2001, vol. 2168, pp. 241–252.
LibreCat
 
[26]
2000 | Conference Paper | LibreCat-ID: 14845
E. Hüllermeier, “Focusing search by using problem solving experience,” in In Proceedings ECAI-2000, 14th European Conference on Artificial Inteligence, Berlin, Germany, 2000, pp. 55–59.
LibreCat
 
[25]
2000 | Conference Paper | LibreCat-ID: 15108
E. Hüllermeier, “A method for predicting solutions in case-based problem solving,” in in Proceedings EWCBR-2000, 5th European Workshop on Case-Based Reasoning, Trento, Italy, 2000, pp. 124–135.
LibreCat
 
[24]
2000 | Conference Paper | LibreCat-ID: 15109
D. Dubois, E. Hüllermeier, and H. Prade, “Flexible control of case-based prediction in the framework of possibility theory,” in in Proceedings EWCBR-2000, 5th European Workshop on Case-Based Reasoning, Trento, Italy, 2000, pp. 61–73.
LibreCat
 
[23]
2000 | Conference Paper | LibreCat-ID: 15231
E. Hüllermeier, D. Dubois, and H. Prade, “Knowledge-based extrapolution of cases: A possibilistic approach,” 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
 
[22]
2000 | Conference Paper | LibreCat-ID: 15301
E. Hüllermeier, “Fuzzy dynamics: Methodological framework and applications of compartmental modeling,” in in Proceedings CASYS-2000, 4th International Conference on Computing Anticipatory Systems Liège, Belgium, 2000.
LibreCat
 
[21]
2000 | Conference Paper | LibreCat-ID: 15302
I. Gueroguieva, I. Nestorov, M. Rowland, and E. Hüllermeier, “In vitro-in vivo hepatic clearance prediction using fuzzy sets,” in in Proceedings EUFEPS-2000, 6th European Congress of Pharmaceutical Sciences, Supplement 1 , 2000, vol. 11, p. S22.
LibreCat
 
[20]
2000 | Conference Paper | LibreCat-ID: 14844
E. Hüllermeier, “Similarity-based inference as evidential reasoning,” in In Proceedings ECAI-2000, 14th European Conference on Artificial Inteligence, Berlin, Germany, 2000, pp. 50–54.
LibreCat
 
[19]
2000 | Conference Paper | LibreCat-ID: 15063
E. Hüllermeier, “Change detection in heuristic search,” in Proceedings AAAI 2000, 17th National Conference on Artificial Intelligence, Austin, Texas, 2000, pp. 898–903.
LibreCat
 
[18]
1999 | Conference Paper | LibreCat-ID: 15232
E. Hüllermeier, D. Dubois, and H. Prade, “Extensions of a qualitative approach to case-based decision making: Unvertainty and fuzzy quantification in act evaluation,” in in Proceedings EUFIT-99 7th European Congress on Intelligent Techniques and Soft Computing, Aachen, Germany, 1999.
LibreCat
 
[17]
1999 | Conference Paper | LibreCat-ID: 15062
E. Hüllermeier, “Toward a probabilistic formalization of case-based inference,” in in Proceedings IJCAI-99, 16th international Joint Conference on Artificial Intelligence, Stockholm, Sweden, 1999, pp. 248–253.
LibreCat
 
[16]
1999 | Conference Paper | LibreCat-ID: 15233
E. Hüllermeier, “Toward models of case-based decision making,” in in Proceedings EUFIT-99 7th European Congress on Intelligent Techniques and Soft Computing, Aachen, Germany, 1999.
LibreCat
 
[15]
1999 | Conference Paper | LibreCat-ID: 15107
E. Hüllermeier, “Exploiting similarity for supporting data analysis and problem solving,” in In Proceedings IDA-1999, 3th International Symposium on Intelligent Data Analysis, Amsterdam, Netherlands, 1999, vol. 1642, pp. 257–268.
LibreCat
 
[14]
1999 | Conference Paper | LibreCat-ID: 15234
E. Hüllermeier, “A possibilistic formalization of case-based reasoning and decision making,” in in Proceedings of the 6th International Conference on Computational Intelligence, Dortmund, Germany, 1999, vol. 1625, pp. 411–420.
LibreCat
 
[13]
1998 | Conference Paper | LibreCat-ID: 15287
E. Hüllermeier, “Fuzzy dynamics of compartmental systems,” in in Proceedings EUFIT-98 6th European Congress on Intelligent Techniques and Soft Computing, Aachen, Germany, 1998.
LibreCat
 
[12]
1998 | Conference Paper | LibreCat-ID: 15288
E. Hüllermeier and C. Giersch, “Fuzzy sets and modelling of uncertainty in biological systems,” in In Proceedings IPMU-98 7th International Conference on Information Processing and Management  of Uncertainty in Knowledge-Based Systems, Paris, La Sorbonne, 1998, pp. 1857–1864.
LibreCat
 
[11]
1998 | Conference Paper | LibreCat-ID: 15303
E. Hüllermeier, “Numerical solutions for fuzzy initial value problems,” in in Proceedings CESA-98, IMACS Multiconference on Computaional Engineering in Systems Applications, Symposium on Applied Mathematics and Optimization, Nabeul-Hammamet, Tunesia, 1998.
LibreCat
 
[10]
1998 | Conference Paper | LibreCat-ID: 15289
E. Hüllermeier, “A Bayesian approach to case-based probalistic reasoning,” in In Proceedings IPMU-98 7th International Conference on Information Processing and Management  of Uncertainty in Knowledge-Based Systems, Paris, La Sorbonne, 1998, pp. 1296–1303.
LibreCat
 
[9]
1997 | Conference Paper | LibreCat-ID: 15290
E. Hüllermeier, “Hierarchical  propagation of uncertain constraints,” in in Proceedings EUFIT-97 5th European Congress on Intelligent Techniques and Soft Computing, Aachen, Germany, 1997, pp. 953–957.
LibreCat
 
[8]
1997 | Conference Paper | LibreCat-ID: 15291
E. Hüllermeier, “Approximation of fuzzy functions,” in in Proceedings 4.Internationaler Workshop Fuzzy-Neuro-Systeme. Soest Germany, 1997, pp. 374–381.
LibreCat
 
[7]
1996 | Conference Paper | LibreCat-ID: 15292
E. Hüllermeier, “Approminate probabilistic reasoning with fuzzy constraints,” in in Proceedings EUFIT-96 4th European Congress on Intelligent Techniques and Soft Computing, Aachen, Germany, 1996.
LibreCat
 
[6]
1996 | Conference Paper | LibreCat-ID: 15293
E. Hüllermeier, “A fuzzy simulation method,” in International Symposium on Soft Computing, Reading U.K., 1996, pp. B230–B236.
LibreCat
 
[5]
1996 | Conference Paper | LibreCat-ID: 15304
E. Hüllermeier, “Hierarchical constraint propagation based on interval arithmetic,” in in Proceedings Interval-96 international Conference on Interval Methods and Computer Aided Proofs in Science and Engineering, Würzburg, 1996, pp. 54–55.
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[4]
1995 | Conference Paper | LibreCat-ID: 15305
E. Hüllermeier, “Fuzzy polynomial and spline interpolation,” in in Proceedings IMACS Symposium on Systems Analysis and Simulation, Berlin, 1995, pp. 401–404.
LibreCat
 
[3]
1995 | Conference Paper | LibreCat-ID: 15294
E. Hüllermeier, “Towards modelling of fuzzy functions,” in in Proceedings EUFIT-95 3rd European Congress on Intelligent Techniques and Soft Computing, Aachen, Germany, 1995, pp. 150–154.
LibreCat
 
[2]
1995 | Conference Paper | LibreCat-ID: 15295
E. Hüllermeier, “Rule-based modelling in fuzzy simulation,” in in Proceedings ISFL-95 International Symposium on Logic, Zürich, 1995, pp. B49–B56.
LibreCat
 
[1]
1994 | Conference Paper | LibreCat-ID: 15296
E. Hüllermeier, “Approximate solution of a linear programming problem using a modified perceptron-algorithm.,” in in Proceedings EUFIT-94 2nd European Congress on Intelligent Techniques and Soft Computing, Aachen, Germany, 1994, pp. 195–199.
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[234]
2019 | Journal Article | LibreCat-ID: 15002
W. Waegeman, K. Dembczynski, and E. Hüllermeier, “Multi-target prediction: a unifying view on problems and methods,” Data Mining and Knowledge Discovery, vol. 33, no. 2, pp. 293–324, 2019.
LibreCat | DOI
 
[233]
2019 | Conference Paper | LibreCat-ID: 15007
V. Melnikov and E. Hüllermeier, “Learning to Aggregate: Tackling the Aggregation/Disaggregation Problem for OWA,” in Proceedings ACML, Asian Conference on Machine Learning (Proceedings of Machine Learning Research, 101), 2019.
LibreCat | DOI
 
[232]
2019 | Conference Paper | LibreCat-ID: 15014
E. Hüllermeier, I. Couso, and S. Diestercke, “Learning from Imprecise Data: Adjustments of Optimistic and Pessimistic Variants,” in Proceedings SUM 2019, International Conference on Scalable Uncertainty Management, 2019.
LibreCat
 
[231]
2019 | Conference Paper | LibreCat-ID: 15003
T. Mortier, M. Wydmuch, K. Dembczynski, E. Hüllermeier, and W. Waegeman, “Set-Valued Prediction in Multi-Class Classification,” 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
 
[230]
2019 | Journal Article | LibreCat-ID: 15015
S. Henzgen and E. Hüllermeier, “Mining Rank Data,” ACM Transactions on Knowledge Discovery from Data, pp. 1–36, 2019.
LibreCat | DOI
 
[229]
2019 | Conference Paper | LibreCat-ID: 10232
M. D. Wever, F. Mohr, A. Tornede, and E. Hüllermeier, “Automating Multi-Label Classification Extending ML-Plan,” presented at the 6th ICML Workshop on Automated Machine Learning (AutoML 2019), Long Beach, CA, USA, 2019.
LibreCat | Files available
 
[228]
2019 | Book Chapter | LibreCat-ID: 15004
M. Ahmadi Fahandar and E. Hüllermeier, “Feature Selection for Analogy-Based Learning to Rank,” in Discovery Science, Cham, 2019.
LibreCat | DOI
 
[227]
2019 | Conference Paper | LibreCat-ID: 15011
A. Tornede, M. D. Wever, and E. Hüllermeier, “Algorithm Selection as Recommendation: From Collaborative Filtering to Dyad Ranking,” in Proceedings - 29. Workshop Computational Intelligence, Dortmund, 28. - 29. November 2019, Dortmund, 2019, pp. 135–146.
LibreCat
 
[226]
2019 | Journal Article | LibreCat-ID: 10578
V. K. Tagne, S. Fotso, L. A. Fono, and E. Hüllermeier, “Choice Functions Generated by Mallows and Plackett–Luce Relations,” New Mathematics and Natural Computation, vol. 15, no. 2, pp. 191–213, 2019.
LibreCat
 
[225]
2019 | Conference Abstract | LibreCat-ID: 8956
A. Hetzer, M. D. Wever, F. Mohr, and E. Hüllermeier, “Algorithm Selection as Recommendation: From Collaborative Filtering to Dyad Ranking,” presented at the European Conference on Data Analysis (ECDA), Bayreuth, Germany, 2019.
LibreCat | Files available
 
[224]
2019 | Book Chapter | LibreCat-ID: 15005
M. Ahmadi Fahandar and E. Hüllermeier, “Analogy-Based Preference Learning with Kernels,” in KI 2019: Advances in Artificial Intelligence, Cham, 2019.
LibreCat | DOI
 
[223]
2019 | Conference Abstract | LibreCat-ID: 8868
M. D. Wever, F. Mohr, E. Hüllermeier, and A. Hetzer, “Towards Automated Machine Learning for Multi-Label Classification,” presented at the European Conference on Data Analytics (ECDA), Bayreuth, Germany, 2019.
LibreCat | Files available
 
[222]
2019 | Conference Abstract | LibreCat-ID: 13132
F. Mohr, M. D. Wever, A. Tornede, and E. Hüllermeier, “From Automated to On-The-Fly Machine Learning,” in INFORMATIK 2019: 50 Jahre Gesellschaft für Informatik – Informatik für Gesellschaft, Kassel, 2019, pp. 273–274.
LibreCat
 
[221]
2019 | Journal Article | LibreCat-ID: 15001
I. Couso, C. Borgelt, E. Hüllermeier, and R. Kruse, “Fuzzy Sets in Data Analysis: From Statistical Foundations to Machine Learning,” IEEE Computational Intelligence Magazine, pp. 31–44, 2019.
LibreCat | DOI
 
[220]
2019 | Book Chapter | LibreCat-ID: 15006
V.-L. Nguyen, S. Destercke, and E. Hüllermeier, “Epistemic Uncertainty Sampling,” in Discovery Science, Cham, 2019.
LibreCat | DOI
 
[219]
2019 | Conference Paper | LibreCat-ID: 15013
K. Brinker and E. Hüllermeier, “A Reduction of Label Ranking to Multiclass Classification,” in Proceedings ECML/PKDD, European Conference on Machine Learning and Knowledge Discovery in Databases, 2019.
LibreCat
 
[218]
2018 | Conference Paper | LibreCat-ID: 10184
D. Schäfer and E. Hüllermeier, “Preference-Based Reinforcement Learning Using Dyad Ranking,” in Proc. 21st Int. Conference on Discovery Science (DS), 2018, pp. 161–175.
LibreCat
 
[217]
2018 | Conference Paper | LibreCat-ID: 3852
M. D. Wever, F. Mohr, and E. Hüllermeier, “ML-Plan for Unlimited-Length Machine Learning Pipelines,” in ICML 2018 AutoML Workshop, Stockholm, Sweden, 2018.
LibreCat | Files available | Download (ext.)
 
[216]
2018 | Conference Paper | LibreCat-ID: 2479
F. Mohr, M. D. Wever, E. Hüllermeier, and A. Faez, “(WIP) Towards the Automated Composition of Machine Learning Services,” in SCC, San Francisco, CA, USA, 2018.
LibreCat | Files available | DOI | Download (ext.)
 
[215]
2018 | Conference Paper | LibreCat-ID: 10153
F. Mohr, M. D. Wever, and E. Hüllermeier, “Reduction Stumps for Multi-class Classification,” in Proc. 17th Int. Symposium on Intelligent Data Analysis (IDA), 2018, pp. 225–237.
LibreCat
 
[214]
2018 | Conference Paper | LibreCat-ID: 15297
E. Hüllermeier, F. Mohr, M. D. Wever, and A. Faez, “Towards the automated composition of machine learning services,” in in Proceedings SCC 2018, IEEE International Conference of Services Computing, San Francisco, CA, USA, 2018, pp. 241–244.
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[213]
2018 | Conference Paper | LibreCat-ID: 10185
N. Seemann, M. Geierhos, M.-L. Merten, D. Tophinke, M. D. Wever, and E. Hüllermeier, “Supporting the Cognitive Process in Annotation Tasks,” in Postersession Computerlinguistik der 40. Jahrestagung der Deutschen Gesellschaft für Sprachwissenschaft, 2018.
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[212]
2018 | Conference Paper | LibreCat-ID: 10154
F. Mohr, M. D. Wever, E. Hüllermeier, and A. Faez, “(WIP) Towards the Automated Composition of Machine Learning Services,” in Proc. 15th Int. Conference on Services Computing (SCC), 2018, pp. 241–244.
LibreCat
 
[211]
2018 | Conference Paper | LibreCat-ID: 10192
M. D. Wever, F. Mohr, and E. Hüllermeier, “ML-Plan for Unlimited-Length Machine Learning Pipelines,” in Int. Workshop on Automatic Machine Learning (AutoML) at ICML 2018, 2018.
LibreCat
 
[210]
2018 | Journal Article | LibreCat-ID: 10274
V. Melnikov and E. Hüllermeier, “On the effectiveness of heuristics for learning nested dichotomies: an empirial analysis,” Machine Learning, vol. 107, no. 8–10, pp. 1537–1560, 2018.
LibreCat
 
[209]
2018 | Conference (Editor) | LibreCat-ID: 10591
S. Abiteboul et al., Eds., Research Directions for Principles of Data Management, vol. 7, no. 1. 2018, pp. 1–29.
LibreCat
 
[208]
2018 | Conference Paper | LibreCat-ID: 15298
F. Mohr, M. D. Wever, and E. Hüllermeier, “On-the-fly service construction with prototypes,” in in Proceedings SCC 2018, IEEE International Conference of Services Computing, San Francisco, CA, USA, 2018, pp. 225–232.
LibreCat
 
[207]
2018 | Conference Paper | LibreCat-ID: 10181
V.-L. Nguyen, S. Destercke, M.-H. Masson, and E. Hüllermeier, “Reliable Multi-class Classification based on Pairwise Epistemic and Aleatoric Uncertainty,” in Proc. 27th Int.Joint Conference on Artificial Intelligence (IJCAI), 2018, pp. 5089–5095.
LibreCat
 
[206]
2018 | Conference Paper | LibreCat-ID: 2109
M. D. Wever, F. Mohr, and E. Hüllermeier, “Ensembles of Evolved Nested Dichotomies for Classification,” in Proceedings of the Genetic and Evolutionary Computation Conference, GECCO 2018, Kyoto, Japan, July 15-19, 2018, Kyoto, Japan, 2018.
LibreCat | Files available | DOI | Download (ext.)
 
[205]
2018 | Conference Paper | LibreCat-ID: 2471
F. Mohr, M. D. Wever, and E. Hüllermeier, “On-The-Fly Service Construction with Prototypes,” in SCC, San Francisco, CA, USA, 2018.
LibreCat | Files available | DOI | Download (ext.)
 
[204]
2018 | Book Chapter | LibreCat-ID: 6423
D. Schäfer and E. Hüllermeier, “Preference-Based Reinforcement Learning Using Dyad Ranking,” in Discovery Science, Cham: Springer International Publishing, 2018, pp. 161–175.
LibreCat | Files available | DOI
 
[203]
2018 | Conference Paper | LibreCat-ID: 10148
A. El Mesaoudi-Paul, E. Hüllermeier, and R. Busa-Fekete, “Ranking Distributions based on  Noisy Sorting,” in Proc. 35th Int. Conference on Machine Learning (ICML), 2018, pp. 3469–3477.
LibreCat
 
[202]
2018 | Conference Paper | LibreCat-ID: 3552
F. Mohr, M. D. Wever, and E. Hüllermeier, “Reduction Stumps for Multi-Class Classification,” in Proceedings of the Symposium on Intelligent Data Analysis, ‘s-Hertogenbosch, the Netherlands.
LibreCat | Files available | DOI | Download (ext.)
 
[201]
2018 | Conference Paper | LibreCat-ID: 10151
F. Mohr, T. Lettmann, E. Hüllermeier, and M. D. Wever, “Programmatic Task Network Planning,” in Proc. 1st ICAPS Workshop on Hierachical  Planning at the 28th Int. Conference on Automated Planning and Scheduling (ICAPS), 2018, pp. 31–39.
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[200]
2018 | Conference Paper | LibreCat-ID: 10149
M. Hesse, J. Timmermann, E. Hüllermeier, and A. Trächtler, “A Reinforcement Learning Strategy for the Swing-Up of the Double Pendulum on a Cart,” 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
 
[199]
2018 | Journal Article | LibreCat-ID: 10276
D. Schäfer and E. Hüllermeier, “Dyad Ranking Using Plackett-Luce Models based on joint feature representations,” Machine Learning, vol. 107, no. 5, pp. 903–941, 2018.
LibreCat
 
[198]
2018 | Book Chapter | LibreCat-ID: 10783
I. Couso and E. Hüllermeier, “Statistical Inference for Incomplete Ranking Data: A Comparison of two likelihood-based estimators,” in Frontiers in Computational Intelligence, S. Mostaghim, A. Nürnberger, and C. Borgelt, Eds. Springer, 2018, pp. 31–46.
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[197]
2018 | Conference Paper | LibreCat-ID: 2857
F. Mohr, T. Lettmann, E. Hüllermeier, and M. D. Wever, “Programmatic Task Network Planning,” in Proceedings of the 28th International Conference on Automated Planning and Scheduling, Delft, Netherlands, 2018.
LibreCat | Files available | Download (ext.)
 
[196]
2018 | Conference Abstract | LibreCat-ID: 1379
N. Seemann, M. Geierhos, M.-L. Merten, D. Tophinke, M. D. Wever, and E. Hüllermeier, “Supporting the Cognitive Process in Annotation Tasks,” in Postersession Computerlinguistik der 40. Jahrestagung der Deutschen Gesellschaft für Sprachwissenschaft, Stuttgart, Germany, 2018.
LibreCat | Files available | Download (ext.)
 
[195]
2018 | Conference Paper | LibreCat-ID: 10152
F. Mohr, M. D. Wever, and E. Hüllermeier, “On-the-Fly Service Construction with Prototypes,” in Proc. 15th Int. Conference on Services Computing (SCC), 2018, pp. 225–232.
LibreCat
 
[194]
2018 | Conference Paper | LibreCat-ID: 10145
M. Ahmadi Fahandar and E. Hüllermeier, “Learning to Rank Based on Analogical Reasoning,” in Proc. 32 nd AAAI Conference on Artificial Intelligence (AAAI), 2018, pp. 2951–2958.
LibreCat
 
[193]
2018 | Journal Article | LibreCat-ID: 10784
F. Mohr, M. D. Wever, and E. Hüllermeier, “ML-Plan: Automated machine learning via hierarchical planning,” Machine Learning, vol. 107, no. 8–10, pp. 1495–1515, 2018.
LibreCat
 
[192]
2018 | Conference Paper | LibreCat-ID: 10188
M. D. Wever, F. Mohr, and E. Hüllermeier, “Ensembles of evolved nested dichotomies for classificaton,” in Proc. Genetic and Evolutionary Computation Conference (GECCO), 2018, pp. 561–568.
LibreCat
 
[191]
2018 | Journal Article | LibreCat-ID: 3510
F. Mohr, M. D. Wever, and E. Hüllermeier, “ML-Plan: Automated Machine Learning via Hierarchical Planning,” Machine Learning, 2018.
LibreCat | Files available | DOI | Download (ext.)
 
[190]
2017 | Conference Paper | LibreCat-ID: 1180
M. D. Wever, F. Mohr, and E. Hüllermeier, “Automatic Machine Learning: Hierachical Planning Versus Evolutionary Optimization,” in 27th Workshop Computational Intelligence, Dortmund, 2017.
LibreCat | Files available | Download (ext.)
 
[189]
2017 | Conference Paper | LibreCat-ID: 10204
R. Ewerth et al., “Estimating relative depth in single images via rankboost,” in Proc. IEEE Int. Conf. on Multimedia and Expo (ICME 2017), 2017, pp. 919–924.
LibreCat
 
[188]
2017 | Conference Paper | LibreCat-ID: 10216
A. Shaker, W. Heldt, and E. Hüllermeier, “Learning TSK Fuzzy Rules from Data Streams,” in Proceedings ECML/PKDD, European Conference on Machine Learning and Knowledge Discovery in Databases, Skopje, Macedonia, 2017.
LibreCat
 
[187]
2017 | Conference Paper | LibreCat-ID: 10209
M. Ahmadi Fahandar and E. Hüllermeier, “Learning to Rank based on Analogical Reasoning,” in Proc. AAAI 2017, 32nd AAAI Conference on Artificial Intelligence, 2017.
LibreCat
 
[186]
2017 | Conference Paper | LibreCat-ID: 15110
I. Couso, D. Dubois, and E. Hüllermeier, “Maximum likelihood estimation and coarse data,” in in Proceedings SUM 2017, 11th International Conference on Scalable Uncertainty Management, Granada, Spain, 2017, pp. 3–16.
LibreCat
 
[185]
2017 | Conference Paper | LibreCat-ID: 10205
M. Ahmadi Fahandar, E. Hüllermeier, and I. Couso, “Statistical Inference for Incomplete Ranking Data: The Case of Rank-Dependent  Coarsening,” in Proc. 34th Int. Conf. on Machine Learning (ICML 2017), 2017, pp. 1078–1087.
LibreCat
 
[184]
2017 | Conference Paper | LibreCat-ID: 10212
F. Hoffmann, E. Hüllermeier, and R. Mikut, “(Hrsg.) Proceedings 27. Workshop Computational Intelligence, KIT Scientific Publishing, Karlsruhe, Germany 2017,” 2017.
LibreCat
 
[183]
2017 | Journal Article | LibreCat-ID: 10267
M. Bräuning, E. Hüllermeier, T. Keller, and M. Glaum, “Lexicographic preferences for predictive modeling of human decision making. A new machine learning method with an application  in accounting,” European Journal of Operational Research, vol. 258, no. 1, pp. 295–306, 2017.
LibreCat
 
[182]
2017 | Encyclopedia Article | LibreCat-ID: 10589
J. Fürnkranz and E. Hüllermeier, “Preference Learning,” in Encyclopedia of Machine Learning and Data Mining, 2017, pp. 1000–1005.
LibreCat
 
[181]
2017 | Conference Paper | LibreCat-ID: 15399
M. Czech, E. Hüllermeier, M. C. Jacobs, and H. Wehrheim, “Predicting rankings of software verification tools,” in in Proceedings ESEC/FSE Workshops 2017 - 3rd ACM SIGSOFT, International Workshop on Software Analytics (SWAN 2017), Paderborn Germany, 2017.
LibreCat
 
[180]
2017 | Conference Paper | LibreCat-ID: 10213
V. Melnikov and E. Hüllermeier, “Optimizing the Structure of Nested Dichotomies: A Comparison of Two Heuristics,” in Proceedings 27. Workshop Computational Intelligence, Dortmund, Germany 2017, 2017, pp. 1–12.
LibreCat
 
[179]
2017 | Conference Paper | LibreCat-ID: 10206
F. Mohr, T. Lettmann, and E. Hüllermeier, “Planning with Independent Task Networks,” in Proc. 40th Annual German Conference on Advances in Artificial Intelligence (KI 2017), 2017, pp. 193–206.
LibreCat
 
[178]
2017 | Journal Article | LibreCat-ID: 10268
M.-C. Platenius, A. Shaker, M. Becker, E. Hüllermeier, and W. Schäfer, “Imprecise Matching of Requirements Specifications for Software Services Using Fuzzy Logic,” IEEE Transactions on Software Engineering, vol. 43, no. 8, pp. 739–759, 2017.
LibreCat
 
[177]
2017 | Conference Paper | LibreCat-ID: 10214
M. D. Wever, F. Mohr, and E. Hüllermeier, “Automatic Machine Learning: Hierarchical Planning Versus Evolutionary Optimization ,” in Proceedings 27. Workshop Computational Intelligence, Dortmund, Germany 2017, 2017, pp. 149–166.
LibreCat
 
[176]
2017 | Conference Paper | LibreCat-ID: 10207
M. Czech, E. Hüllermeier, M.-C. Jakobs, and H. Wehrheim, “Predicting rankings of software verification tools,” in Proc. 3rd ACM SIGSOFT Int. I Workshop on Software Analytics (SWAN@ESEC/SIGSOFT FSE 2017, 2017, pp. 23–26.
LibreCat
 
[175]
2017 | Journal Article | LibreCat-ID: 10269
E. Hüllermeier, “From Knowledge-based to Data-driven Modeling of Fuzzy Rule-based Systems: A Critical Reflection,” The Computing Research Repository  (CoRR), 2017.
LibreCat
 
[174]
2017 | Conference Paper | LibreCat-ID: 15396
M. D. Wever, F. Mohr, and E. Hüllermeier, “Automatic machine learning: Hierarchical planning versus evolutionary optimization,” in in Proceedings 27th Workshop Computational Intelligence, Dortmund Germany, 2017, pp. 149–166.
LibreCat
 
[173]
2017 | Conference Paper | LibreCat-ID: 10208
I. Couso, D. Dubois, and E. Hüllermeier, “Maximum Likelihood Estimation and Coarse Data,” in Proc. 11th Int. Conf. on Scalable Uncertainty Management (SUM 2017), 2017, pp. 3–16.
LibreCat
 
[172]
2017 | Conference Paper | LibreCat-ID: 15397
V. Melnikov and E. Hüllermeier, “Optimizing the structure of nested dichotomies. A comparison of two heuristics,” in in Proceedings 27th Workshop Computational Intelligence, Dortmund Germany, 2017, pp. 1–12.
LibreCat
 
[171]
2016 | Conference Paper | LibreCat-ID: 10228
D. Schäfer and E. Hüllermeier, “Preference-Based Reinforcement Learning Using Dyad Ranking,” in Proceedings DA2PL ´2016, Euro Mini Conference from Multiple Criteria Decision Aid to Preference Learning, 2016.
LibreCat
 
[170]
2016 | Conference Paper | LibreCat-ID: 10223
V. Melnikov and E. Hüllermeier, “Learning to aggregate using uninorms,  in Proceedings ECML/PKDD-2016,” in European Conference on Machine Learning and Knowledge Discovery in Databases, Part II, Riva del Garda, Italy, 2016, pp. 756–771.
LibreCat
 
[169]
2016 | Conference Paper | LibreCat-ID: 10230
S. Lu and E. Hüllermeier, “Support vector classification on noisy data using fuzzy supersets losses,” in Proceedings 26. Workshop Computational Intelligence, KIT Scientific Publishing, 2016, pp. 1–8.
LibreCat
 
[168]
2016 | Journal Article | LibreCat-ID: 10266
M. Riemenschneider, R. Senge, U. Neumann, E. Hüllermeier, and D. Heider, “Exploiting HIV-1 protease and reverse transcriptase cross-resistance information for improved drug resistance prediction by means of multi-label classification,” BioData Mining, vol. 9, no. 10, 2016.
LibreCat
 
[167]
2016 | Encyclopedia Article | LibreCat-ID: 10785
J. Fürnkranz and E. Hüllermeier, “Preference Learning,” in Encyclopedia of Machine Learning and Data Mining, C. Sammut and G. I. Webb, Eds. Springer, 2016.
LibreCat
 
[166]
2016 | Conference Paper | LibreCat-ID: 15401
D. Schäfer and E. Hüllermeier, “Preference -based reinforcement learning using dyad ranking,” in in Proceedings DA2PL`2016 Euro Mini Conference From Multiple Criteria Decision Aid to Preference Learning, Paderborn, Germany, 2016.
LibreCat
 
[165]
2016 | Conference Paper | LibreCat-ID: 10224
K. Dembczynski, W. Kotlowski, W. Waegeman, R. Busa-Fekete, and E. Hüllermeier, “Consistency of probalistic classifier trees,” 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
 
[164]
2016 | Conference Paper | LibreCat-ID: 10229
I. Couso, M. Ahmadi Fahandar, and E. Hüllermeier, “Statistical Inference for Incomplete Ranking Data: A Comparison of two likelihood-based estimators,” in Proceedings DA2PL ´2016, Euro Mini Conference from Multiple Criteria Decision Aid to Preference Learning, 2016.
LibreCat
 
[163]
2016 | Conference Paper | LibreCat-ID: 10231
D. Schäfer and E. Hüllermeier, “Plackett-Luce networks for dyad ranking,” in In Workshop LWDA “Lernen, Wissen, Daten, Analysen,” 2016.
LibreCat
 
[162]
2016 | Conference Paper | LibreCat-ID: 15111
K. Pfannschmidt, E. Hüllermeier, S. Held, and R. Neiger, “Evaluating tests in medical  diagnosis-Combining machine learning with game-theoretical concepts,” in In Proceedings IPMU 16th International Conference on Information Processing and Management  of Uncertainty in Knowledge-Based Systems, Part 1, Eindhoven, The Netherlands, 2016, pp. 450–461.
LibreCat
 
[161]
2016 | Conference Paper | LibreCat-ID: 15402
I. Couso, M. Ahmadi Fahandar, and E. Hüllermeier, “Statistical Inference for Incomplete Ranking Data: A Comparison of two likelihood-based estimators,” in in Proceedings DA2PL 2016 EURO Mini Conference From Multiple Criteria Decision Aid to Preference Learning, Paderborn Germany, 2016.
LibreCat
 
[160]
2016 | Conference Paper | LibreCat-ID: 10225
A. Shabani, A. Paul, R. Platon, and E. Hüllermeier, “Predicting the electricity consumption of buildings: An improved CBR approach,” in In Proceedings ICCBR, 24th International Conference on Case-Based Reasoning, Atlanta, GA, USA, 2016, pp. 356–369.
LibreCat
 
[159]
2016 | Conference (Editor) | LibreCat-ID: 10263
G. A. Kaminka et al., Eds., ECAI 2016, 22nd European Conference on Artificial Intelligence, including PAIS 2016, Prestigious Applications of Artificial Intelligence, vol. 285. The Hague, The Netherlands: IOS Press, 2016.
LibreCat
 
[158]
2016 | Conference Paper | LibreCat-ID: 15403
S. Lu and E. Hüllermeier, “Support vector classification on noisy data using fuzzy superset losses,” in in Proceedings 26th Workshop Computational Intelligence, Dortmund Germany, 2016, pp. 1–8.
LibreCat
 
[157]
2016 | Conference Paper | LibreCat-ID: 10226
K. Pfannschmidt, E. Hüllermeier, S. Held, and R. Neiger, “Evaluating tests in medical  diagnosis-Combining machine learning with game-theoretical concepts,” in In Proceedings IPMU 16th International Conference on Information Processing and Management  of Uncertainty in Knowledge-Based Systems, Part 1, Eindhoven, The Netherlands, 2016, pp. 450–461.
LibreCat
 
[156]
2016 | Conference (Editor) | LibreCat-ID: 10221
F. Hoffmann, E. Hüllermeier, and R. Mikut, Eds., Proceedings 26. Workshop Computational Intelligence KIT Scientific Publishing, Karlsruhe, Germany. 2016.
LibreCat
 
[155]
2016 | Journal Article | LibreCat-ID: 10264
M. Leinweber et al., “CavSimBase: A database for large scale comparison of protein binding sites,” IEEE Transactions on Knowledge and Data Engineering, vol. 28, no. 6, pp. 1423–1434, 2016.
LibreCat
 
[154]
2016 | Conference Paper | LibreCat-ID: 15404
D. Schäfer and E. Hüllermeier, “Plackett-Luce networks for dyad ranking,” in in Workshop LWDA “Lernen, Wissen, Daten, Analysen” Potsdam, Germany, 2016.
LibreCat
 
[153]
2016 | Conference Paper | LibreCat-ID: 10227
C. Labreuche, E. Hüllermeier, P. Vojtas, and A. Fallah Tehrani, “On the Identifiability of models in multi-criteria preference learning ,” in Proceedings DA2PL ´2016, Euro Mini Conference from Multiple Criteria Decision Aid to Preference Learning, 2016.
LibreCat
 
[152]
2016 | Conference Paper | LibreCat-ID: 10222
K. Jasinska, K. Dembczynski, R. Busa-Fekete, T. Klerx, and E. Hüllermeier, “Extreme F-measure maximization using sparse probability estimates ,” in Proceedings ICML-2016, 33th International Conference on Machine Learning, New York, USA, 2016.
LibreCat
 
[151]
2016 | Conference Paper | LibreCat-ID: 15400
C. Labreuche, E. Hüllermeier, P. Vojtas, and A. Fallah Tehrani, “On the identifiability of models  in multi-criteria preference learning,” in in Proceedings DA2PL 2016 EURO Mini Conference From Multiple Criteria Decision Aid to Preference Learning, Paderborn Germany, 2016.
LibreCat
 
[150]
2015 | Journal Article | LibreCat-ID: 4792
R. Senge and E. Hüllermeier, “Fast Fuzzy Pattern Tree Learning for Classification,” IEEE Transactions on Fuzzy Systems, vol. 23, no. 6, pp. 2024–2033, 2015.
LibreCat | Files available | DOI
 
[149]
2015 | Conference Paper | LibreCat-ID: 10242
B. Szörényi, R. Busa-Fekete, K. Dembczynski, and E. Hüllermeier, “Online F-Measure Optimization,” in in Advances in Neural Information Processing Systems 28 (NIPS 2015), 2015, pp. 595–603.
LibreCat
 
[148]
2015 | Conference Paper | LibreCat-ID: 10235
F. Hoffmann and E. Hüllermeier, “Proceedings 25. Workshop Computational Intelligence KIT Scientific Publishing,” 2015.
LibreCat
 
[147]
2015 | Journal Article | LibreCat-ID: 10324
R. Senge and E. Hüllermeier, “Fast Fuzzy Pattern Tree Learning of Classification,” IEEE Transactions on Fuzzy Systems, vol. 23, no. 6, pp. 2024–2033, 2015.
LibreCat
 
[146]
2015 | Conference Paper | LibreCat-ID: 15406
D. Schäfer and E. Hüllermeier, “Preference-based meta-learning using dyad ranking: Recommending algorithms in cold-start situations,” 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
 
[145]
2015 | Conference Paper | LibreCat-ID: 10243
A. El Mesaoudi-Paul and E. Hüllermeier, “A CBR Approach to the Angry Birds Game,” in in Workshop Proc. 23rd International Conference on Case-Based Reasoning (ICCBR 2015), 2015, pp. 68–77.
LibreCat
 
[144]
2015 | Conference Paper | LibreCat-ID: 10236
A. Abdel-Aziz and E. Hüllermeier, “Case Base Maintenance in Preference-Based CBR,” in In Proceedings 23rd International Conference on Case-Based Reasoning (ICCBR 2015), 2015, pp. 1–14.
LibreCat
 
[143]
2015 | Journal Article | LibreCat-ID: 10320
E. Hüllermeier, “Does machine learning need fuzzy logic?,” Fuzzy Sets and Systems, vol. 281, pp. 292–299, 2015.
LibreCat
 
[142]
2015 | Conference Paper | LibreCat-ID: 10244
D. Schäfer and E. Hüllermeier, “Preference-Based Meta- Learning Using Dyad Ranking: Recommending Algorithms in Cold-Start Situations,” in in Proceedings of the 2015 International Workshop on Meta-Learning and Algorithm Selection (MetaSel@PKDD/ECML), 2015, pp. 110–111.
LibreCat
 
[141]
2015 | Conference Paper | LibreCat-ID: 10237
B. Szörényi, R. Busa-Fekete, P. Weng, and E. Hüllermeier, “Qualitative Multi-Armed Bandits: A Quantile-Based Approach,” in In Proceedings International Conference on Machine Learning (ICML 2015), 2015, pp. 1660–1668.
LibreCat
 
[140]
2015 | Journal Article | LibreCat-ID: 10319
W. Waegeman, K. Dembczynski, A. Jachnik, W. Cheng, and E. Hüllermeier, “On the Bayes-Optimality of F-Measure Maximizers,” in Journal of Machine Learning Research, vol. 15, pp. 3333–3388, 2015.
LibreCat
 
[139]
2015 | Journal Article | LibreCat-ID: 10321
A. Shaker and E. Hüllermeier, “Recovery analysis for adaptive learning from non-stationary data streams: Experimental design and case study,” Neurocomputing, vol. 150, pp. 250–264, 2015.
LibreCat
 
[138]
2015 | Conference Paper | LibreCat-ID: 10240
S. Henzgen and E. Hüllermeier, “Weighted Rank Correlation : A Flexible Approach Based on Fuzzy Order Relations,” in in Proceedings European Conference on Machine Learning and Knowledge Discovery in Databases (ECML/PKDD), 2015, pp. 422–437.
LibreCat
 
[137]
2015 | Conference Paper | LibreCat-ID: 10238
D. Schäfer and E. Hüllermeier, “Dyad Ranking Using A Bilinear Plackett-Luce Model,” in in Proceedings European Conference on Machine Learning and Knowledge Discovery in Databases (ECML/PKDD), 2015, pp. 227–242.
LibreCat
 
[136]
2015 | Conference Paper | LibreCat-ID: 10245
S. Lu and E. Hüllermeier, “Locally weighted regression through data imprecisiation,” in Proceedings 25. Workshop Computational Intelligence, 2015, pp. 97–104.
LibreCat
 
[135]
2015 | Journal Article | LibreCat-ID: 10322
E. Hüllermeier, “From Knowledge-based to Data-driven fuzzy modeling-Development, criticism and alternative directions,” Informatik Spektrum, vol. 38, no. 6, pp. 500–509, 2015.
LibreCat
 
[134]
2015 | Conference Paper | LibreCat-ID: 10234
E. Hüllermeier and M. Minor, “Case-Based Reasoning Research and Development ,” in in Proceedings 23rd International Conference on Case-Based Reasoning (ICCBR 2015) LNAI 9343, 2015.
LibreCat
 
[133]
2015 | Conference Paper | LibreCat-ID: 10241
B. Szörényi, R. Busa-Fekete, A. Paul, and E. Hüllermeier, “Online Rank Elicitation for Plackett-Luce: A Dueling Bandits Approach,” in in Advances in Neural Information Processing Systems 28 (NIPS 2015), 2015, pp. 604–612.
LibreCat
 
[132]
2015 | Conference Paper | LibreCat-ID: 10246
R. Ewerth, A. Balz, J. Gehlhaar, K. Dembczynski, and E. Hüllermeier, “Depth estimation in monocular images: Quantitative versus qualitative approaches,” in Proceedings 25. Workshop Computational Intelligence, 2015, pp. 235–240.
LibreCat
 
[131]
2015 | Conference Paper | LibreCat-ID: 10239
E. Hüllermeier and W. Cheng, “Superset Learning Based on Generalized Loss Minimization ,” in in Proceedings European Conference on Machine Learning and Knowledge Discovery in Databases (ECML/PKDD), 2015, pp. 260–275.
LibreCat
 
[130]
2015 | Journal Article | LibreCat-ID: 10323
S. Garcia-Jimenez, U. Bustince, E. Hüllermeier, R. Mesiar, N. R. Pal, and A. Pradera, “Overlap Indices: Construction of and Application of Interpolative Fuzzy Systems,” IEEE Transactions on Fuzzy Systems, vol. 23, no. 4, pp. 1259–1273, 2015.
LibreCat
 
[129]
2014 | Conference Paper | LibreCat-ID: 10254
T. Calders, F. Esposito, E. Hüllermeier, and R. Meo, “Machine Learning and Knowledge Discovery in Databases-European Conf. ECML/PKDD, Nancy, France,” in Proceedings, Parts I-III. Lecture Notes in Computer Science, 2014, pp. 8724–8726.
LibreCat
 
[128]
2014 | Conference Paper | LibreCat-ID: 10247
R. Busa-Fekete, B. Szörényi, and E. Hüllermeier, “PAC Rank Elicitation through Adaptive Sampling of Stochastic Pairwise Preferences,” in Proceedings AAAI 2014, Quebec, Canada, 2014, pp. 1701–1707.
LibreCat
 
[127]
2014 | Journal Article | LibreCat-ID: 10297
F. Hoffmann, E. Hüllermeier, and A. Kroll, “Ausgewählte Beiträge des GMA-Fachausschusses 5.14,” Computational Intelligence Automatisierungstechnik, vol. 62, no. 10, pp. 685–686, 2014.
LibreCat
 
[126]
2014 | Journal Article | LibreCat-ID: 10312
M. Mernberger, M. Moog, S. Stork, S. Zauner, U. G. Maier, and E. Hüllermeier, “Protein Sub-Cellular Localization Prediction for Special compartments via Optimized Time Series Distances,” J. Bioinformatics and Computational Biology, vol. 12, no. 1, 2014.
LibreCat
 
[125]
2014 | Journal Article | LibreCat-ID: 10317
T. Krotzky, T. Fober, E. Hüllermeier, and G. Klebe, “Extended Graph-Based Models for Enhanced Similarity Search in Cavbase,” IEEE/ACM Trans. Comput. Biology Bioinform., vol. 11, no. 5, pp. 878–890, 2014.
LibreCat
 
[124]
2014 | Conference Paper | LibreCat-ID: 10248
R. Busa-Fekete and E. Hüllermeier, “A Survey of Preference-Based Online Learning with Bandit Algorithms,” in Proceedings Int. Conf. on Algorithmic Learning Theory (ALT), Bled, Slovenia, 2014, pp. 18–39.
LibreCat
 
[123]
2014 | Conference Paper | LibreCat-ID: 10250
A. Fallah Tehrani, M. Strickert, and E. Hüllermeier, “The Choquet kernel for monotone data,” in Proceedings ESANN , Bruges, Belgium, 2014.
LibreCat
 
[122]
2014 | Journal Article | LibreCat-ID: 10298
T. Calders, F. Esposito, E. Hüllermeier, and R. Meo, “Guest editors`introduction:special issue of the ECML/PKDD 2014 journal track,” Data Min. Knowledge Discovery, vol. 28, no. 5–6, pp. 1129–1133, 2014.
LibreCat
 
[121]
2014 | Journal Article | LibreCat-ID: 10318
M. Stock et al., “Identification of Functionally Releated Enzymes by Learning to Rank Methods,” IEEE/ACM Trans. Comput. Biology Bioinform., vol. 11, no. 6, pp. 1157–1169, 2014.
LibreCat
 
[120]
2014 | Journal Article | LibreCat-ID: 10313
T. Calders, F. Esposito, E. Hüllermeier, and R. Meo, “Guest editors`introduction:special issue of the ECML/PKDD 2014 journal track,” Machine Learning, vol. 97, no. 1–2, pp. 1–3, 2014.
LibreCat
 
[119]
2014 | Conference Paper | LibreCat-ID: 10251
A. Abdel-Aziz, M. Strickert, and E. Hüllermeier, “Learning Solution Similarity in Preference-Based CBR,” in Proceedings Int. Conf. Case-Based Reasoning (ICCBR), Cork, Ireland, 2014, pp. 17–31.
LibreCat
 
[118]
2014 | Conference Paper | LibreCat-ID: 10249
S. Henzgen and E. Hüllermeier, “Mining Rank Data,” in Proceedings Discovery Science, Bled,Slovenia , 2014, pp. 123–134.
LibreCat
 
[117]
2014 | Journal Article | LibreCat-ID: 10299
S. Henzgen, M. Strickert, and E. Hüllermeier, “Visualization of evolving fuzzy rule-based systems,” Evolving Systems, vol. 5, no. 3, pp. 175–191, 2014.
LibreCat
 
[116]
2014 | Journal Article | LibreCat-ID: 10314
R. Busa-Fekete, B. Szörényi, P. Weng, W. Cheng, and E. Hüllermeier, “Preference-Based Reinforcement Learning: evolutionary direct policy search using a preference-based racing algorithm,” Machine Learning, vol. 97, no. 3, pp. 327–351, 2014.
LibreCat
 
[115]
2014 | Conference Paper | LibreCat-ID: 10295
J. Fürnkranz, E. Hüllermeier, C. Rudin, R. Slowinski, and S. Sanner, “Preference Learning (Dagstuhl Seminar 14101) Dagstuhl Reports,” 2014, vol. 4, no. 3, pp. 1–27.
LibreCat
 
[114]
2014 | Journal Article | LibreCat-ID: 10308
E. Hüllermeier, “Learning from imprecise and fuzzy observations: Data disambiguation through generalized loss minimization,” Int. J. Approx. Reasoning, vol. 55, no. 7, pp. 1519–1534, 2014.
LibreCat
 
[113]
2014 | Journal Article | LibreCat-ID: 10315
E. Montanés, R. Senge, J. Barranquero, J. R. Quevedo, J. J. Del Coz, and E. Hüllermeier, “Dependent binary relevance models for multi-label classification,” Pattern Recognition, vol. 47, no. 3, pp. 1494–1508, 2014.
LibreCat
 
[112]
2014 | Journal Article | LibreCat-ID: 10310
M. Strickert, K. Bunte, F.-M. Schleif, and E. Hüllermeier, “Correlation-based embedding of pairwise score data,” Neurocomputing, vol. 141, pp. 97–109, 2014.
LibreCat
 
[111]
2014 | Conference Paper | LibreCat-ID: 10253
D. Schäfer and E. Hüllermeier, “Dyad Ranking Using A Bilinear Plackett-Luce Model,” in Proceedings Lernen-Wissensentdeckung-Adaptivität (LWA), Aachen, Germany, 2014, pp. 32–33.
LibreCat
 
[110]
2014 | Journal Article | LibreCat-ID: 10309
E. Hüllermeier, “Rejoinder on "Learning from imprecise and fuzzy observations: Data disambiguation through generalized loss minimization,” Int. J. Approx. Reasoning, vol. 55, no. 7, pp. 1609–1613, 2014.
LibreCat
 
[109]
2014 | Journal Article | LibreCat-ID: 10311
R. Senge et al., “Reliable classification: Learning classifiers that distinguish aleatoric and epistemic uncertainty,” Information Sciences, vol. 255, pp. 16–29, 2014.
LibreCat
 
[108]
2014 | Journal Article | LibreCat-ID: 10316
G. Krempl et al., “Open challenges for data stream mining research,” SIGKDD Explorations, vol. 16, no. 1, pp. 1–10, 2014.
LibreCat
 
[107]
2014 | Journal Article | LibreCat-ID: 10296
A. Shaker and E. Hüllermeier, “Survival analysis on data streams: Analyzing temporal events in dynamically changing environments,” Applied Mathematics and Computer Science, vol. 24, no. 1, pp. 199–212, 2014.
LibreCat
 
[106]
2013 | Conference Paper | LibreCat-ID: 13119
S. Henzgen, M. Strickert, and E. Hüllermeier, “Rule chains for visualizing evolving fuzzy rule-based systems,” in in Proceedings CORES 2013, 8th International Conference on Computer Recognition Systems, Wroclaw, Poland, 2013, pp. 279–288.
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[105]
2013 | Conference Paper | LibreCat-ID: 13190
A. Shaker and E. Hüllermeier, “Recovery analysis for adaptive learning from non-stationary data streams,” in in Proceedings CORES 2013, 8th International Conference on Computer Recognition Systems, Wroclaw, Poland, 2013, pp. 289–298.
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[104]
2013 | Conference Paper | LibreCat-ID: 13115
G. Szarvas, R. Busa-Fekete, and E. Hüllermeier, “Learning to rank lexical substitutions,” in In Proceedings EMNLP-2013 Conference on Empirical Methods in Natural Language Processing, Seattle, USA, 2013.
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[103]
2013 | Conference Paper | LibreCat-ID: 13116
K. Dembczynski, A. Jachnik, W. Kotlowski, W. Waegeman, and E. Hüllermeier, “Optimizing the F-measure in multi-label classification: Plug-in rule approach versus structured loss minimization,” in in Proceedings ICML-2013, 30th International Conference on Machine Learning, Atlanta, USA, 2013, pp. 1130–1138.
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[102]
2013 | Conference Paper | LibreCat-ID: 15112
A. Fallah Tehrani and E. Hüllermeier, “Ordinal Choquistic regression ,” in in Proceedings EUSFLAT-2013 8th International Conference on the European Society for Fuzzy Logic and Technology, Milano, Italy, 2013.
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[101]
2013 | Conference Paper | LibreCat-ID: 13117
R. Busa-Fekete, B. Szoreny, P. Weng, W. Cheng, and E. Hüllermeier, “Top-k selection based on adaptive sampling of noisy preferences,” in in Proceedings ICML-2013, 30th International Conference on Machine Learning, Atlanta, USA, 2013, pp. 1094–1102.
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[100]
2013 | Conference Paper | LibreCat-ID: 15113
N. Nasiri, T. Fober, R. Senge, and E. Hüllermeier, “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,” in in Proceedings IFSA-2013 World Congress of the International Fuzzy Systems Association, Edmonton, Canada, 2013, pp. 715–721.
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[99]
2013 | Conference Paper | LibreCat-ID: 13118
E. Hüllermeier and W. Cheng, “Preference-based CBR: General ideas and basic principles,” in in Proceedings IJCAI-13, 23rd international Joint Conference on Artificial Intelligence, Beijing, China, 2013, pp. 3012–3016.
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[98]
2012 | Conference Paper | LibreCat-ID: 13191
W. Cheng and E. Hüllermeier, “Probability estimation for mulit-class classification based on label ranking,” in Proceedings ECML/PKDD-2012, European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, Bristol, UK, 2012.
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[97]
2012 | Conference Paper | LibreCat-ID: 13192
K. Dembczynski, W. Kotlowski, and E. Hüllermeier, “Consistent multilabel ranking through univariate loss minimization,” in in Proceedings ICML-2012,  International Conference on Machine Learning, Edinburgh, Scotland, 2012.
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[96]
2012 | Conference Paper | LibreCat-ID: 15299
M. Leinweber et al., “GPU-based cloud computing for comparing the structure of protein binding sites,” in in Proceedings IEEE Conference on Digital Ecosystem Technologies-Complex Environment Engineering Campione d`Italia, Italy, 2012.
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[95]
2012 | Conference Paper | LibreCat-ID: 13193
K. Dembczynski, W. Waegeman, and E. Hüllermeier, “An analysis of chaining in multi-label classification,” in In Proceedings ECAI-2012, 20th European Conference on Artificial Inteligence, Montpellier, France , 2012, pp. 294–299.
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[94]
2012 | Conference Paper | LibreCat-ID: 13120
W. Cheng, E. Hüllermeier, W. Waegeman, and V. Welker, “Label ranking with partial abstention based on thresholded probalistic models,” in In Proceedings NIPS-2012, 26th Annual Conference on Neural Information Processing Systems, Lake Tahoe, Nevada, USA, 2012.
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[93]
2012 | Conference Paper | LibreCat-ID: 15114
E. Hüllermeier and A. Fallah Tehrani, “On the VC dimension of the Choquet integral,” in In Proceedings IPMU-2012 14th International Conference on Information Processing and Management  of Uncertainty in Knowledge-Based Systems, Part 1, Catania, Italy, 2012.
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[92]
2011 | Conference Paper | LibreCat-ID: 13195
W. Cheng, J. Fuernkranz, E. Hüllermeier, and S. H. Park, “Preference-based policy iteration: Leveraging preference learning for reinforcement learning,” in Proceedings ECML/PKDD-2011, European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, Athens, Greece, , 2011.
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[91]
2011 | Conference Paper | LibreCat-ID: 15115
M. Nasiri, E. Hüllermeier, R. Senge, and E. Lughofer, “Comparing methods for knowledge-driven and data-driven fuzzy modeling: A case study in textile industry,” in in Proceedings IFSA-2011 World Congress of the International Fuzzy Systems Association, Surabaya and Bali Island, Indonesia, 2011, p. RW-103-1-6.
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[90]
2011 | Conference Paper | LibreCat-ID: 13196
J. Fürnkranz and E. Hüllermeier, “Learning from label preferences,” in in Proceedings DS-2011, 14th International  Conference on Discovery Science, number 6926 in LNAI, 2011, pp. 2–17.
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[89]
2011 | Conference Paper | LibreCat-ID: 13588
W. Kotlowski, K. Dembczynski, and E. Hüllermeier, “Bipartite ranking through minimization of univariate loss,” in in Proceedings ICML-2011, 28th International Conference on Machine Learning, Washington, USA, 2011.
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[88]
2011 | Conference Paper | LibreCat-ID: 15116
E. Lughofer and E. Hüllermeier, “On-line redundancy deletion in evolving fuzzy regression models using a fuzzy inclusion measure,” in in Proceedings EUSFLAT-2011 7th International Conference on the European Society for Fuzzy Logic and Technology, Aix-les-Bains, France, 2011, pp. 380–387.
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[87]
2011 | Conference Paper | LibreCat-ID: 13197
A. Fallah Tehrani, W. Cheng, K. Dembczynski, and E. Hüllermeier, “Learning  monotone nonlinear models using the Choquet integral,” in In Proceedings ECML/PKDD-2011, European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, Athens, Greece, 2011.
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[86]
2011 | Conference Paper | LibreCat-ID: 15117
A. Fallah Tehrani, W. Cheng, and E. Hüllermeier, “Choquistic regression: Generalizing logistic regression using the Choquet integral,” 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.
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[85]
2011 | Conference Paper | LibreCat-ID: 13198
E. Hüllermeier and P. Schlegel, “Preference-based CBR: First steps toward a methodological framework,” in In Proceedings ICCBR-2011, 19th International Conference on Case-Based Reasoning, number 6880 in LNAI, 2011, pp. 77–91.
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[84]
2011 | Conference Paper | LibreCat-ID: 13194
K. Dembczynski, W. Waegeman, W. Cheng, and E. Hüllermeier, “An exact algorithm for F-measure maximization,” in In Proceedings NIPS-2011, 25th Annual Conference on Neural Information Processing Systems, Granada, Spain, 2011.
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[83]
2010 | Conference Paper | LibreCat-ID: 13594
W. Cheng, M. Rademaker, B. De Beats, and E. Hüllermeier, “Predicting partial orders: Ranking with abstention,” in In Proceedings ECML/PKDD-2010, European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, ,Bareclona, Spain, 2010.
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[82]
2010 | Conference Paper | LibreCat-ID: 13590
W. Cheng, K. Dembczynski, and E. Hüllermeier, “Label ranking based on the Plackett-Luce model,” in in Proceedings ICML-2010, 27th International Conference on Machine Learning, Haifa, Israel, 2010, pp. 215–222.
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[81]
2010 | Conference Paper | LibreCat-ID: 13589
K. Dembczynski, W. Cheng, and E. Hüllermeier, “Bayes optimal multilabel classification via probalistic classifier chains,” in in Proceedings ICML-2010, 27th International Conference on Machine Learning, Haifa, Israel, 2010, pp. 279–286.
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[80]
2010 | Conference Paper | LibreCat-ID: 13591
W. Cheng, K. Dembczynski, and E. Hüllermeier, “Graded multi-label classification: The ordinal case,” in in Proceedings ICML-2010, 27th International Conference on Machine Learning, Haifa, Israel, 2010.
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[79]
2010 | Conference Paper | LibreCat-ID: 13597
E. Hüllermeier, “Uncertainty in clustering and classification ,” in in Proceedings SUM 2010, International Conference on Scalable Uncertainty Management , 2010, vol. 6379, no. LNCS, pp. 16–19.
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[78]
2010 | Conference Paper | LibreCat-ID: 15118
T. Fober and E. Hüllermeier, “Similarity measures for protein structures based on fuzzy histogram comparison,” in in Proceedings WCCI-2010, World Congress on Computational Intelligence, Barcelona, Spain, 2010.
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[77]
2010 | Conference Paper | LibreCat-ID: 13593
K. Dembczynski, W. Waegeman, W. Cheng, and E. Hüllermeier, “Regret analysis for performance metrics in multi-label classification: The case of Hamming and subset zero-one loss,” in In Proceedings ECML/PKDD-2010, European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, ,Bareclona, Spain, 2010.
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[76]
2010 | Conference Paper | LibreCat-ID: 15119
R. Senge and E. Hüllermeier, “Pattern trees for regression and fuzzy systems modeling,” in in Proceedings WCCI-2010, World Congress on Computational Intelligence, Barcelona, Spain, 2010.
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[75]
2009 | Conference Paper | LibreCat-ID: 15196
E. Hüllermeier and M. Rifqi, “A fuzzy variant of the Rand index for comparing clustering structures,” in in Proceedings IFSA / EUSFLAT-2009 World Congress of  the Fuzzy Systems Association, Lissabon, Portugal, 2009, pp. 1294–1298.
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[74]
2009 | Conference Paper | LibreCat-ID: 13595
W. Cheng, J. Hühn, and E. Hüllermeier, “Decision tree and instance-based learning for label ranking,” in in Proceedings ICML-2009, 26th International Conference on Machine Learning, Montreal, Canada, 2009, pp. 161–168.
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[73]
2009 | Conference Paper | LibreCat-ID: 13596
J. Fürnkranz, E. Hüllermeier, and S. Vanderlooy, “Binary decomposition methods for multipartite ranking,” 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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[72]
2009 | Conference Paper | LibreCat-ID: 15120
T. Fober, G. Klebe, and E. Hüllermeier, “Efficient construction of multiple geometrical alignments for the comparison of protein binding sites,” in in Proceedings ISDA-2009, 9th international Conference on Intelligent Systems Design and Applications, Pisa, Italy, 2009, pp. 1251–1256.
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[71]
2009 | Conference Paper | LibreCat-ID: 13598
W. Cheng and E. Hüllermeier, “A new instance-based label ranking approach using the Mallows model. In Advances in Neural Networks,” in in Proceedings 6th International Symposium on Neural Networks, Wuhan, China, 2009, no. LNCS 5551, pp. 707–716.
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[70]
2009 | Conference Paper | LibreCat-ID: 15195
T. Fober and E. Hüllermeier, “Fuzzy modeling of labeled point cloud superposition  for the comparison of protein binding sites,” in in Proceedings IFSA / EUSFLAT-2009 World Congress of  the Fuzzy Systems Association, Lissabon, Portugal, 2009, pp. 1299–1304.
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[69]
2008 | Conference Paper | LibreCat-ID: 13599
E. Hüllermeier, I. Vladimirskiy, B. Prados Suarez, and E. Stauch, “Supporting case-based retrieval by similarity skylines: Basic concepts and extensions,” in in Proceedings ECCBR-2008 9th European Conference on Case-Based  Reasoning, Trier, Germany, 2008, no. LNAI 5239, pp. 240–254.
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[68]
2008 | Conference Paper | LibreCat-ID: 13600
W. Cheng and E. Hüllermeier, “Learning similarity functions from qualitative feedback,” in in Proceedings ECCBR-2008 9th European Conference on Case-Based  Reasoning, Trier, Germany, 2008, no. LNAI 5239, pp. 120–134.
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[67]
2007 | Conference Paper | LibreCat-ID: 14833
K. Brinker and E. Hüllermeier, “Label ranking in case-based reasoning,” in In Proceedings ICCBR-2007, 7th International Conference on Case-Based Reasoning, Belfast, Northern Ireland, 2007, vol. 4626, pp. 77–91.
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[66]
2007 | Conference Paper | LibreCat-ID: 14834
J. Beringer and E. Hüllermeier, “Efficient instance-based learning on data streams,” in In Proceedings ICDM-2007, International Conference on Industrial Data Mining, Leipzig, 2007, pp. 34–48.
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[65]
2007 | Conference Paper | LibreCat-ID: 15197
E. Hüllermeier and K. Brinker, “Fuzzy-relational classificaton : Combining pairwise decomposition techniques with fuzzy preference modeling,” in in Proceedings EUSFLAT-2007 5th International Conference on the European Society for Fuzzy Logic and Technology, Ostrava, Czech Republic, 2007, vol. 1, pp. 353–360.
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[64]
2007 | Conference Paper | LibreCat-ID: 14835
K. Brinker and E. Hüllermeier, “Case-based multilabel ranking,” in in Proceedings IJCAI-07, 20th international Joint Conference on Artificial Intelligence, Hyerabad, India, January 2007, 2007, pp. 701–707.
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[63]
2007 | Conference Paper | LibreCat-ID: 15198
J. Beringer and E. Hüllermeier, “Adaptive optimization of the number of clusters in fuzzy clustering, London 2007,” in in Proceedings FUZZ-IEEE-07, IEEE International Conference on Fuzzy Systems, 2007.
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[62]
2007 | Conference Paper | LibreCat-ID: 15199
E. Hüllermeier, N. Weskamp, G. Klebe, and D. Kuhn, “Graph alignment: Fuzzy pattern mining for the structural analysis of protein active sites,” in in Proceedings FUZZ-IEEE-07, IEEE International Conference on Fuzzy Systems, London, 2007.
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[61]
2007 | Conference Paper | LibreCat-ID: 13601
J. N. Sulzmann, J. Fürnkranz, and E. Hüllermeier, “On pairwise Naive Bayes classifiers,” in In Proceedings ECML-2007, 17th European Conference on Machine Learning, Warsawa, Poland, 2007.
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[60]
2007 | Conference Paper | LibreCat-ID: 14832
E. Hüllermeier and J. Fürnkranz, “On minimizing the position error in label ranking,” in In Proceedings ECML-2007, 17th European Conference on Machine Learning, Warsawa, Poland, September 2007, 2007.
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[59]
2006 | Conference Paper | LibreCat-ID: 14838
K. Brinker, J. Fuernkranz, and E. Hüllermeier, “A unified model for multilabel classification and ranking,” in In Proceedings ECAI-2006, 17th European Conference on Artificial Inteligence, Riva del Garda, Italy, 2006, pp. 489–493.
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[58]
2006 | Conference Paper | LibreCat-ID: 15201
E. Hüllermeier, “Integrating instance-based learning and logistic regression,” in In Proceedings IPMU-2006 11th International Conference on Information Processing and Management  of Uncertainty in Knowledge-Based Systems, Paris, France, 2006.
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[57]
2006 | Conference Paper | LibreCat-ID: 15213
E. Hüllermeier, “The Choquet integral as an aggregation operator in case-based learning,” in in Proceeding of the International Conference on Computational Intelligence, 9th Fuzzy Days, Dortmund, 2006, pp. 615–628.
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2006 | Conference Paper | LibreCat-ID: 14836
K. Bade, E. Hüllermeier, and A. Nürnberger, “Hierarchical classification by expected utility maximization,” in In Proceedings ICDM-2006, IEEE International Conference on Data Mining, 2006, pp. 43–52.
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2006 | Conference Paper | LibreCat-ID: 14837
K. Brinker and E. Hüllermeier, “Case-based label ranking,” in In Proceedings ECML-2006, 17th European Conference on Machine Learning, Berlin September 2006, 2006, pp. 566–573.
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[54]
2005 | Conference Paper | LibreCat-ID: 14840
E. Hüllermeier and J. Fürnkranz, “Learning label preferences: Ranking error versus position error,” in In Proceedings IDA-2005, 6th International Symposium on Intelligent Data Analysis, Madrid, 2005, vol. 3646, pp. 180–191.
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2005 | Conference Paper | LibreCat-ID: 15216
Y. Yi and E. Hüllermeier, “Learning complexity-boundet rule-based classifiers by combining association analysis and genetic algorithms,” in in Proceedings EUSFLAT-2005 4th International Conference on the European Society for Fuzzy Logic and Technology,  Barcelona, Spain, 2005.
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2005 | Conference Paper | LibreCat-ID: 14841
E. Hüllermeier and J. Beringer, “Learning from ambiguously labeled examples,” in In Proceedings IDA-2005, 6th International Symposium on Intelligent Data Analysis, Madrid, 2005, vol. 3646, pp. 168–179.
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2005 | Conference Paper | LibreCat-ID: 14839
E. Hüllermeier and C. NN, “A method for combining interacting pieces of evidence in case-based learning,” in in Proceedings IJCAI-05, 19th international Joint Conference on Artificial Intelligence, Edingburgh, Scotland, 2005, pp. 3–8.
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2005 | Conference Paper | LibreCat-ID: 15105
D. Dubois and E. Hüllermeier, “A notion of comarative probabilistic entroy based on the possibilistic specificity ordering,” in in Proceedings ECSQARU-2005, 8th European Conference of Symbolic and Quantitative Approaches to Reasoning with Uncertainty, Barcelona, Spain, 2005.
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2005 | Conference Paper | LibreCat-ID: 15214
I. Karimi and E. Hüllermeier, “A fuzzy-probablistic risk assessment system for natural disasters,” in in Proceedings IFSA-2005, 11th  World Congress of the International Fuzzy System Association, Beijing, China, 2005, pp. 1147–1153.
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2005 | Conference Paper | LibreCat-ID: 15215
E. Lughofer, E. Hüllermeier, and E. Klement, “Improving the interpretability of data-driven evolving fuzzy systems,” in in Proceedings EUSFLAT-2005 4th International Conference on the European Society for Fuzzy Logic and Technology, Barcelona, Spain, 2005.
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2004 | Conference Paper | LibreCat-ID: 15217
E. Hüllermeier and J. Fürnkranz, “Comparison of ranking procedures in pairwise preference learning,” 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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2004 | Conference Paper | LibreCat-ID: 14842
E. Hüllermeier, “Instance-based prediction with guaranteed confidence,” in In Proceedings ECAI-2004, 16th European Conference on Artificial Inteligence, Valencia, Spain, 2004, pp. 97–101.
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2004 | Conference Paper | LibreCat-ID: 15218
E. Hüllermeier and J. Fürnkranz, “Ranking by pairwise comparison: A note on risk minimization,” in in Proceedings FUZZ-IEEE-04, IEEE International Conference on Fuzzy Systems, Budapest, Hungary, 2004.
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2004 | Conference Paper | LibreCat-ID: 15220
E. Hüllermeier and J. Beringer, “Learning decision rules from positive and negative preferences,” 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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2004 | Conference Paper | LibreCat-ID: 15219
I. Karimi, E. Hüllermeier, and K. Meskouris, “An earthquake risk assessment method based on fuzzy probability,” in in Proceedings 6th International FLINS Conference on Applied  Computational Intelligence, Duinse Polders, Blankenberg,Belgien, 2004.
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2003 | Conference Paper | LibreCat-ID: 15223
E. Hüllermeier, “Inducing fuzzy concepts through extended version space learning,” in in Proceedings IFSA-03 10th International Fuzzy Systems Association World Congress, Istanbul, Turkey, 2003, vol. 2715, pp. 648–677.
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2003 | Conference Paper | LibreCat-ID: 15065
E. Hüllermeier, “Regularized learning with flexible constraints,” in In Proceddings IDA-03, 5th International Symposium on Intelligent Data Anaysis, 2003, vol. 2810.
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2003 | Conference Paper | LibreCat-ID: 15066
J. Fürnkranz and E. Hüllermeier, “Pairwise preference learning and ranking,” in In Proceedings ECML-2003, 13 th European Conference on Machine Learning, Cavtat-Dubrovnik, Croatia, 2003.
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2003 | Conference Paper | LibreCat-ID: 15221
E. Hüllermeier, “Instance-based collaborative filtering with fuzzy labels,” 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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2003 | Conference Paper | LibreCat-ID: 15222
D. Dubois, E. Hüllermeier, and H. Prade, “A note on quality measures for fuzzy association rules,” in in Proceedings IFSA-03 10th International Fuzzy Systems Association World Congress, Istanbul, Turkey, 2003, vol. 2715, pp. 648–677.
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2002 | Conference Paper | LibreCat-ID: 15064
M. De Calmès, D. Dubois, E. Hüllermeier, H. Prade, and F. Sèdes, “A fuzzy set approach to flexible case-based querying: methodology and experimentation,” in in Proceedings KR-02, 8th International Conference on Principles of Knowledge Representation and Reasoning, France, 2002, pp. 449–458.
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[36]
2002 | Conference Paper | LibreCat-ID: 15228
M. De Calmès, D. Dubois, E. Hüllermeier, H. Prade, and F. Sèdes, “Case-based quering and prediction: A fuzzy set approach,” in in Proceedings FUZZ-IEEE-02, IEEE International Conference on Fuzzy Systems, Honolulu, Hawaii, 2002, pp. 735–740.
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2002 | Conference Paper | LibreCat-ID: 14843
E. Hüllermeier, “On the representation and combination of evidence in instance-based learning,” in In Proceedings ECAI-2002, 15th European Conference on Artificial Intelligence, Lyon, France, 2002, pp. 360–364.
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2002 | Conference Paper | LibreCat-ID: 15098
E. Hüllermeier, “Association rules for expressing gradual dependencies,” in in Proceedings PKDD-02  6th European Conference on Principles and Practise of Knowledge Discovery in Databases, Helsinki, Finland, 2002, pp. 200–211.
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2002 | Conference Paper | LibreCat-ID: 15101
E. Hüllermeier, “Possibilistic induction in decision tree learning,” in in Proceedings ECML-02, 13th European Conference on Machine Learning, Helsinki Finland, 2002, pp. 173–184.
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2002 | Conference Paper | LibreCat-ID: 15226
E. Hüllermeier, “Mining implication-based fuzzy association rules in databases,” 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.
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2002 | Conference Paper | LibreCat-ID: 15227
E. Hüllermeier, “Exploiting similarity and experience in decision making,” in in Proceedings FUZZ-IEEE-02, IEEE International Conference on Fuzzy Systems, Honolulu, Hawaii, 2002, pp. 729–734.
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2001 | Conference Paper | LibreCat-ID: 15230
D. Dubois, E. Hüllermeier, and H. Prade, “Toward the representation of implication-based fuzzy rules in terms of crisp rules,” 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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2001 | Conference Paper | LibreCat-ID: 15300
E. Hüllermeier, “Experience-based decision making and learning from examples,” in In Proceedings SOR-01 Symposium on Operations Research, Duisburg, Germany, 2001.
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2001 | Conference Paper | LibreCat-ID: 15229
E. Hüllermeier, “Fuzzy association rules: Semantic issues and quality measures,” in in Proceedings of the International Conference on Computational Intelligence 7th Fuzzy Days, Dortmund, Germany, 2001, vol. 2206, pp. 380–391.
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2001 | Conference Paper | LibreCat-ID: 15106
E. Hüllermeier, “Implication-based fuzzy association rules,” in in Proceedings PKDD-01  5th European Conference on Principles and Practise of Knowledge Discovery in Databases, Freiburg, Germany, 2001, vol. 2168, pp. 241–252.
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2000 | Conference Paper | LibreCat-ID: 14845
E. Hüllermeier, “Focusing search by using problem solving experience,” in In Proceedings ECAI-2000, 14th European Conference on Artificial Inteligence, Berlin, Germany, 2000, pp. 55–59.
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2000 | Conference Paper | LibreCat-ID: 15108
E. Hüllermeier, “A method for predicting solutions in case-based problem solving,” in in Proceedings EWCBR-2000, 5th European Workshop on Case-Based Reasoning, Trento, Italy, 2000, pp. 124–135.
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[24]
2000 | Conference Paper | LibreCat-ID: 15109
D. Dubois, E. Hüllermeier, and H. Prade, “Flexible control of case-based prediction in the framework of possibility theory,” in in Proceedings EWCBR-2000, 5th European Workshop on Case-Based Reasoning, Trento, Italy, 2000, pp. 61–73.
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2000 | Conference Paper | LibreCat-ID: 15231
E. Hüllermeier, D. Dubois, and H. Prade, “Knowledge-based extrapolution of cases: A possibilistic approach,” 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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2000 | Conference Paper | LibreCat-ID: 15301
E. Hüllermeier, “Fuzzy dynamics: Methodological framework and applications of compartmental modeling,” in in Proceedings CASYS-2000, 4th International Conference on Computing Anticipatory Systems Liège, Belgium, 2000.
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[21]
2000 | Conference Paper | LibreCat-ID: 15302
I. Gueroguieva, I. Nestorov, M. Rowland, and E. Hüllermeier, “In vitro-in vivo hepatic clearance prediction using fuzzy sets,” in in Proceedings EUFEPS-2000, 6th European Congress of Pharmaceutical Sciences, Supplement 1 , 2000, vol. 11, p. S22.
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2000 | Conference Paper | LibreCat-ID: 14844
E. Hüllermeier, “Similarity-based inference as evidential reasoning,” in In Proceedings ECAI-2000, 14th European Conference on Artificial Inteligence, Berlin, Germany, 2000, pp. 50–54.
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2000 | Conference Paper | LibreCat-ID: 15063
E. Hüllermeier, “Change detection in heuristic search,” in Proceedings AAAI 2000, 17th National Conference on Artificial Intelligence, Austin, Texas, 2000, pp. 898–903.
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[18]
1999 | Conference Paper | LibreCat-ID: 15232
E. Hüllermeier, D. Dubois, and H. Prade, “Extensions of a qualitative approach to case-based decision making: Unvertainty and fuzzy quantification in act evaluation,” in in Proceedings EUFIT-99 7th European Congress on Intelligent Techniques and Soft Computing, Aachen, Germany, 1999.
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[17]
1999 | Conference Paper | LibreCat-ID: 15062
E. Hüllermeier, “Toward a probabilistic formalization of case-based inference,” in in Proceedings IJCAI-99, 16th international Joint Conference on Artificial Intelligence, Stockholm, Sweden, 1999, pp. 248–253.
LibreCat
 
[16]
1999 | Conference Paper | LibreCat-ID: 15233
E. Hüllermeier, “Toward models of case-based decision making,” in in Proceedings EUFIT-99 7th European Congress on Intelligent Techniques and Soft Computing, Aachen, Germany, 1999.
LibreCat
 
[15]
1999 | Conference Paper | LibreCat-ID: 15107
E. Hüllermeier, “Exploiting similarity for supporting data analysis and problem solving,” in In Proceedings IDA-1999, 3th International Symposium on Intelligent Data Analysis, Amsterdam, Netherlands, 1999, vol. 1642, pp. 257–268.
LibreCat
 
[14]
1999 | Conference Paper | LibreCat-ID: 15234
E. Hüllermeier, “A possibilistic formalization of case-based reasoning and decision making,” in in Proceedings of the 6th International Conference on Computational Intelligence, Dortmund, Germany, 1999, vol. 1625, pp. 411–420.
LibreCat
 
[13]
1998 | Conference Paper | LibreCat-ID: 15287
E. Hüllermeier, “Fuzzy dynamics of compartmental systems,” in in Proceedings EUFIT-98 6th European Congress on Intelligent Techniques and Soft Computing, Aachen, Germany, 1998.
LibreCat
 
[12]
1998 | Conference Paper | LibreCat-ID: 15288
E. Hüllermeier and C. Giersch, “Fuzzy sets and modelling of uncertainty in biological systems,” in In Proceedings IPMU-98 7th International Conference on Information Processing and Management  of Uncertainty in Knowledge-Based Systems, Paris, La Sorbonne, 1998, pp. 1857–1864.
LibreCat
 
[11]
1998 | Conference Paper | LibreCat-ID: 15303
E. Hüllermeier, “Numerical solutions for fuzzy initial value problems,” in in Proceedings CESA-98, IMACS Multiconference on Computaional Engineering in Systems Applications, Symposium on Applied Mathematics and Optimization, Nabeul-Hammamet, Tunesia, 1998.
LibreCat
 
[10]
1998 | Conference Paper | LibreCat-ID: 15289
E. Hüllermeier, “A Bayesian approach to case-based probalistic reasoning,” in In Proceedings IPMU-98 7th International Conference on Information Processing and Management  of Uncertainty in Knowledge-Based Systems, Paris, La Sorbonne, 1998, pp. 1296–1303.
LibreCat
 
[9]
1997 | Conference Paper | LibreCat-ID: 15290
E. Hüllermeier, “Hierarchical  propagation of uncertain constraints,” in in Proceedings EUFIT-97 5th European Congress on Intelligent Techniques and Soft Computing, Aachen, Germany, 1997, pp. 953–957.
LibreCat
 
[8]
1997 | Conference Paper | LibreCat-ID: 15291
E. Hüllermeier, “Approximation of fuzzy functions,” in in Proceedings 4.Internationaler Workshop Fuzzy-Neuro-Systeme. Soest Germany, 1997, pp. 374–381.
LibreCat
 
[7]
1996 | Conference Paper | LibreCat-ID: 15292
E. Hüllermeier, “Approminate probabilistic reasoning with fuzzy constraints,” in in Proceedings EUFIT-96 4th European Congress on Intelligent Techniques and Soft Computing, Aachen, Germany, 1996.
LibreCat
 
[6]
1996 | Conference Paper | LibreCat-ID: 15293
E. Hüllermeier, “A fuzzy simulation method,” in International Symposium on Soft Computing, Reading U.K., 1996, pp. B230–B236.
LibreCat
 
[5]
1996 | Conference Paper | LibreCat-ID: 15304
E. Hüllermeier, “Hierarchical constraint propagation based on interval arithmetic,” in in Proceedings Interval-96 international Conference on Interval Methods and Computer Aided Proofs in Science and Engineering, Würzburg, 1996, pp. 54–55.
LibreCat
 
[4]
1995 | Conference Paper | LibreCat-ID: 15305
E. Hüllermeier, “Fuzzy polynomial and spline interpolation,” in in Proceedings IMACS Symposium on Systems Analysis and Simulation, Berlin, 1995, pp. 401–404.
LibreCat
 
[3]
1995 | Conference Paper | LibreCat-ID: 15294
E. Hüllermeier, “Towards modelling of fuzzy functions,” in in Proceedings EUFIT-95 3rd European Congress on Intelligent Techniques and Soft Computing, Aachen, Germany, 1995, pp. 150–154.
LibreCat
 
[2]
1995 | Conference Paper | LibreCat-ID: 15295
E. Hüllermeier, “Rule-based modelling in fuzzy simulation,” in in Proceedings ISFL-95 International Symposium on Logic, Zürich, 1995, pp. B49–B56.
LibreCat
 
[1]
1994 | Conference Paper | LibreCat-ID: 15296
E. Hüllermeier, “Approximate solution of a linear programming problem using a modified perceptron-algorithm.,” in in Proceedings EUFIT-94 2nd European Congress on Intelligent Techniques and Soft Computing, Aachen, Germany, 1994, pp. 195–199.
LibreCat
 

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