439 Publications

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[439]
2013 | Conference Paper | LibreCat-ID: 15752
Labelwise versus pairwise decomposition in label ranking
W. Cheng, S. Henzgen, E. Hüllermeier, in: In Proceedings Workshop LWA-2009, Lernen-Wissensentdeckung-Adaptivität, Bamberg, Germany, 2013, pp. 129–136.
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[438]
2013 | Conference Paper | LibreCat-ID: 15753
Rectifying classifier chains for multi-label classification, Bamberg, Germany
R. Senge, J. del Coz, E. Hüllermeier, in: In Proceedings Workshop LWA-2009, Lernen-Wissensentdeckung-Adaptivität, Bamberg, Germany, 2013, pp. 151–158.
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[437]
2013 | Conference Paper | LibreCat-ID: 15755
Preference-based evolutionary optimization using generalized racing algorithms
R. Busa-Fekete, T. Fober, E. Hüllermeier, in: F. Hoffmann, E. Hüllermeier (Eds.), In Proceedings 23th Workshop Computational Intelligence, Dortmund Germany, KIT Scientific Publishing, 2013, pp. 237–246.
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[436]
2013 | Conference Paper | LibreCat-ID: 15756
Weighted rank correlation measures based on fuzzy order relations
S. Henzgen, E. Hüllermeier, in: F. Hoffmann, E. Hüllermeier (Eds.), In Proceedings 23th Workshop Computational Intelligence, Dortmund Germany, KIT Scientific Publishing, 2013, pp. 227–236.
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[435]
2013 | Conference Paper | LibreCat-ID: 15757
Interactive Q-learning with ordinal rewards and unreliable tutor
P. Weng, R. Busa-Fekete, E. Hüllermeier, in: In Proceedings ECML/PKDD-Workshop on Reinforcement Learning from Generalized Feedback:Beyond Numerical Rewards, Prague, 2013.
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[434]
2013 | Conference Paper | LibreCat-ID: 15758
Preference-based evolutionary direct policy search
R. Busa-Fekete, B. Szörenyi, P. Weng, E. Hüllermeier, in: In Proceedings ECML/PKDD-Workshop on Reinforcement Learning from Generalized Feedback:Beyond Numerical Rewards, Prague, 2013.
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[433]
2013 | Conference Paper | LibreCat-ID: 15759
A nearest neigbor approach to label ranking based on generalized labelwise loss minimization
W. Cheng, E. Hüllermeier, in: In Proceedings M-PREF`13, 7th Multidisciplinary Workshop on Advances in Preference Handling Beijing, China, 2013.
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[432]
2013 | Conference Paper | LibreCat-ID: 15760
Event history analysis on data streams: An application to earthquake occurence
A. Shaker, E. Hüllermeier, in: G. Krempl, I. Zliobaite, Y. Wang, G. Forman (Eds.), In Proceedings RealStream 2013, 1st International Workshop on Real-World Challenges for Data Stream Mining, Prague, Czech Republic, 2013, pp. 38–41.
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[431]
2013 | Conference Paper | LibreCat-ID: 15761
On the problem of error propagation in classier chains for multi-label classification. Data Analysis, Machine Learning and Knowledge Discovery
R. Senge, J.J. del Coz, E. Hüllermeier, in: L. Schmidt-Thieme, M. Spiliopoulou (Eds.), In Proceedings of GFKL-2012, 36th Annual Conference of the German Classification Society, Studies in Classification, Data Analysis and Knowledge Organization, Hildesheim, Germany , Springer, 2013.
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[430]
2013 | Conference Paper | LibreCat-ID: 15763
Local clique merging: An extension of the maximum common subgraph measure with applications in structural bioinformatics, Algorithms from and for Nature and Life
T. Fober, G. Klebe, E. Hüllermeier, in: B. Lausen, D. Van den Poel, A. Ultsch (Eds.), In Proceedings GFKL-2011, Conference of the German Classification Society, Frankfurt Germany, Springer, 2013, pp. 279–286.
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[429]
2013 | Conference Paper | LibreCat-ID: 15112
Ordinal Choquistic regression
A. Fallah Tehrani, E. Hüllermeier, in: J. Montero, G. Pasi, D. Ciucci (Eds.), In Proceedings EUSFLAT-2013 8th International Conference on the European Society for Fuzzy Logic and Technology, Milano, Italy, Atlantis Press, 2013.
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[428]
2013 | Conference Paper | LibreCat-ID: 15113
Fuzzy Pattern Trees as an alternative to rule-based fuzzy systems: Knowledge-driven, data-driven and hybrid modeling of colour yield in poyester dyeing, Edmonton, Canada
N. Nasiri, T. Fober, R. Senge, E. Hüllermeier, in: In Proceedings IFSA-2013 World Congress of the International Fuzzy Systems Association, Edmonton, Canada, 2013, pp. 715–721.
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[427]
2013 | Journal Article | LibreCat-ID: 16044
Multilabel classification for exploiting cross-resistance information in HIV-1 drug resistence prediction
D. Heider, R. Senge, W. Cheng, E. Hüllermeier, Bioinformatics 29 (2013) 1946–1952.
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[426]
2013 | Journal Article | LibreCat-ID: 16081
Chest pain in primary care: is the localization of pain diagnostically helpful in the critical evaluation of patients? A cross sectional study.
S. Bösner, K. Bönisch, J. Haasenritter , P. Schlegel, E. Hüllermeier, N. Donner-Banzhoff, BMC Family Practice 14 (2013) 154–162.
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[425]
2013 | Journal Article | LibreCat-ID: 16086
Diagnose im Kontext - eine erweiterte Perspektive
J. Haasenritter, A. Viniol, A. Becker, S. Bösner, E. Hüllermeier, R. Senge, N. Donner-Banzhoff, Zeitschrift Für Evidenz, Fortbildung Und Qualität Im Gesundheitswesen (ZEFQ) 107 (2013) 585–591.
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[424]
2013 | Journal Article | LibreCat-ID: 16123
Evolving fuzzy pattern trees for binary classification on data streams
A. Shaker, R. Senge, E. Hüllermeier, Information Sciences 220 (2013) 34–45.
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[423]
2013 | Conference Paper | LibreCat-ID: 13115
Learning to rank lexical substitutions
G. Szarvas, R. Busa-Fekete, E. Hüllermeier, in: In Proceedings EMNLP-2013 Conference on Empirical Methods in Natural Language Processing, Seattle, USA, 2013.
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[422]
2013 | Conference Paper | LibreCat-ID: 13116
Optimizing the F-measure in multi-label classification: Plug-in rule approach versus structured loss minimization
K. Dembczynski, A. Jachnik, W. Kotlowski, W. Waegeman, E. Hüllermeier, in: S. Dasgupta, D. McAllester (Eds.), In Proceedings ICML-2013, 30th International Conference on Machine Learning, Atlanta, USA, 2013, pp. 1130–1138.
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[421]
2013 | Conference Paper | LibreCat-ID: 13117
Top-k selection based on adaptive sampling of noisy preferences
R. Busa-Fekete, B. Szoreny, P. Weng, W. Cheng, E. Hüllermeier, in: S. Dasgupta, D. McAllester (Eds.), In Proceedings ICML-2013, 30th International Conference on Machine Learning, Atlanta, USA, 2013, pp. 1094–1102.
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[420]
2013 | Conference Paper | LibreCat-ID: 13118
Preference-based CBR: General ideas and basic principles
E. Hüllermeier, W. Cheng, in: F. Rossi (Ed.), In Proceedings IJCAI-13, 23rd International Joint Conference on Artificial Intelligence, Beijing, China, AAAI Press, 2013, pp. 3012–3016.
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[419]
2013 | Conference Paper | LibreCat-ID: 13119
Rule chains for visualizing evolving fuzzy rule-based systems
S. Henzgen, M. Strickert, E. Hüllermeier, in: R. Burduk, K. Jackowski, M. Kurzynski, M. Wozniak, A. Zolnierek (Eds.), In Proceedings CORES 2013, 8th International Conference on Computer Recognition Systems, Wroclaw, Poland, Springer, 2013, pp. 279–288.
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[418]
2013 | Conference Paper | LibreCat-ID: 13190
Recovery analysis for adaptive learning from non-stationary data streams
A. Shaker, E. Hüllermeier, in: R. Burduk, K. Jackowski, M. Kurzynski, W. Wozniak, A. Zolnierek (Eds.), In Proceedings CORES 2013, 8th International Conference on Computer Recognition Systems, Wroclaw, Poland, Springer, 2013, pp. 289–298.
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[417]
2012 | Conference Paper | LibreCat-ID: 15299
GPU-based cloud computing for comparing the structure of protein binding sites
M. Leinweber, L. Baumgärtner, M. Mernberger, T. Fober, E. Hüllermeier, G. Klebe, B. Freisleben, in: In Proceedings IEEE Conference on Digital Ecosystem Technologies-Complex Environment Engineering Campione D`Italia, Italy, 2012.
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[416]
2012 | Book Chapter | LibreCat-ID: 15396
Efficient learning of classifiers based on the 2-additive Choquet integral
E. Hüllermeier, A. Fallah Tehrani, in: C. Moewes, A. Nürnberger (Eds.), Computational Intelligence in Intelligent Data Analysis, Springer, 2012, pp. 17–30.
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[415]
2012 | Conference Paper | LibreCat-ID: 15754
Learning conditional lexicographic preference trees
M. Bräuning, E. Hüllermeier, in: In Workshops on Preference Learning at ECAI, European Conference on Artiticial Intelligence, Montpellier, France, 2012.
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[414]
2012 | Conference Paper | LibreCat-ID: 15114
On the VC dimension of the Choquet integral
E. Hüllermeier, A. Fallah Tehrani, in: In Proceedings IPMU-2012 14th International Conference on Information Processing and Management  of Uncertainty in Knowledge-Based Systems, Part 1, Catania, Italy, 2012.
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[413]
2012 | Journal Article | LibreCat-ID: 16084
Learning monotone nonlinear models using the Choquet integral
A. Fallah Tehrani, W. Cheng, K. Dembczynski, E. Hüllermeier, Machine Learning 89 (2012) 183–211.
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[412]
2012 | Journal Article | LibreCat-ID: 16085
Grouping, overlap and generalized bientropic functions for fuzzy modeling of pairwise comparisons
H. Bustince, M. Pagola, R. Mesiar, E. Hüllermeier, F. Herrera, IEEE Transactions on Fuzzy Systems 20 (2012) 405–415.
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[411]
2012 | Journal Article | LibreCat-ID: 16087
Preference-based reinforcement learning: A formal framework and a policy iteration algorithm
J. Fürnkranz, E. Hüllermeier, W. Cheng, S.H. Park, Machine Learning 89 (2012) 123–156.
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[410]
2012 | Journal Article | LibreCat-ID: 16088
On label dependence and loss minimization in multi-label classification
K. Dembczynski, W. Waegeman, W. Cheng, E. Hüllermeier, Machine Learning 88 (2012) 5–45.
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[409]
2012 | Journal Article | LibreCat-ID: 16089
IBL Streams: A system for instance-based classification and regression on data streams
A. Shaker, E. Hüllermeier, Evolving Systems 3 (2012) 235–249.
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[408]
2012 | Journal Article | LibreCat-ID: 16090
A formal and empirical analysis of the fuzzy gamma rank correlation coefficient
M. Dolorez Ruiz, E. Hüllermeier, Information Sciences 206 (2012) 1–17.
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[407]
2012 | Journal Article | LibreCat-ID: 16091
Preference learning using the Choquet integral: The case of multipartite ranking
A. Fallah Tehrani, W. Cheng, E. Hüllermeier, IEEE Transactions on Fuzzy Systems 20 (2012) 1102–1113.
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[406]
2012 | Journal Article | LibreCat-ID: 16092
Fingerprint kernels for protein structure comparison
T. Fober, M. Mernberger, G. Klebe, E. Hüllermeier, Molecular Informatics 31 (2012) 443–452.
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[405]
2012 | Journal Article | LibreCat-ID: 16093
Comparing fuzzy partitions: A generalization of the Rand index and related measures
E. Hüllermeier, M. Rifqi, S. Henzgen, R. Senge, IEEE Transactions on Fuzzy Systems 20 (2012) 546–556.
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[404]
2012 | Journal Article | LibreCat-ID: 16094
Fuzzy Pattern Trees: Ein alternativer Ansatz zur Fuzzy-Modellierung
R. Senge, T. Fober, N. Nasiri, E. Hüllermeier, At-Atomatisierungstechnik 60 (2012) 622–629.
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[403]
2012 | Conference Paper | LibreCat-ID: 13120
Label ranking with partial abstention based on thresholded probalistic models
W. Cheng, E. Hüllermeier, W. Waegeman, V. Welker, in: In Proceedings NIPS-2012, 26th Annual Conference on Neural Information Processing Systems, Lake Tahoe, Nevada, USA, 2012.
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[402]
2012 | Conference Paper | LibreCat-ID: 13191
Probability estimation for mulit-class classification based on label ranking
W. Cheng, E. Hüllermeier, in: Proceedings ECML/PKDD-2012, European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, Bristol, UK, 2012.
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[401]
2012 | Conference Paper | LibreCat-ID: 13192
Consistent multilabel ranking through univariate loss minimization
K. Dembczynski, W. Kotlowski, E. Hüllermeier, in: J. Langford, J. Pineau (Eds.), In Proceedings ICML-2012,  International Conference on Machine Learning, Edinburgh, Scotland, 2012.
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[400]
2012 | Conference Paper | LibreCat-ID: 13193
An analysis of chaining in multi-label classification
K. Dembczynski, W. Waegeman, E. Hüllermeier, in: In Proceedings ECAI-2012, 20th European Conference on Artificial Inteligence, Montpellier, France , IOS Press, 2012, pp. 294–299.
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[399]
2012 | Book Chapter | LibreCat-ID: 10153
Fuzzy rules in data mining: From fuzzy associations to gradual dependencies
E. Hüllermeier, in: E. Trillas, P.P. Bonissone, L. Magdalena, J. Kacprzyk (Eds.), Combining Experimentation and Theory, Springer, 2012, pp. 123–135.
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[398]
2011 | Conference Paper | LibreCat-ID: 15762
Joint mode estimation in multi-label classification by chaining
K. Dembczynski, W. Waegeman, E. Hüllermeier, in: In Proceedings ECML Workshop on Collective Inference and Learning on Structured Data, Athens, Greece, 2011.
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[397]
2011 | Conference Paper | LibreCat-ID: 15764
Prediction of protein localization for specialized compartments using time series kernels
M. Mernberger, D. Moog, S. Stork, S. Zauner, U. Maier, E. Hüllermeier, in: In Proceedings GCB-2011 German Conference on Bioinformatics Munich, Germany, 2011.
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[396]
2011 | Conference Paper | LibreCat-ID: 15115
Comparing methods for knowledge-driven and data-driven fuzzy modeling: A case study in textile industry
M. Nasiri, E. Hüllermeier, R. Senge, E. Lughofer, in: In Proceedings IFSA-2011 World Congress of the International Fuzzy Systems Association, Surabaya and Bali Island, Indonesia, 2011, p. RW-103-1-6.
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[395]
2011 | Conference Paper | LibreCat-ID: 15116
On-line redundancy deletion in evolving fuzzy regression models using a fuzzy inclusion measure
E. Lughofer, E. Hüllermeier, in: S. Galichet, J. Montero, G. Mauris (Eds.), In Proceedings EUSFLAT-2011 7th International Conference on the European Society for Fuzzy Logic and Technology, Aix-Les-Bains, France, 2011, pp. 380–387.
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[394]
2011 | Conference Paper | LibreCat-ID: 15117
Choquistic regression: Generalizing logistic regression using the Choquet integral
A. Fallah Tehrani, W. Cheng, E. Hüllermeier, in: In Proceedings EUSFLAT-2011 7th International Conference on the European Society for Fuzzy Logic and Technology, Aix-Les-Bains, France, 2011, pp. 868–875.
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[393]
2011 | Journal Article | LibreCat-ID: 16119
Multivariate modeling to identify patterns in clinical data: The example of chest pain
O. Hirsch, S. Bösner, E. Hüllermeier, R. Senge, K. Dembczynski, N. Donner-Banzhoff, BMC Medical Research Methodology 11 (2011).
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[392]
2011 | Journal Article | LibreCat-ID: 16126
Preferences in AL: An overview
C. Domshlak, E. Hüllermeier, S. Kaci, H. Prade, Artificial Intelligence 175 (2011) 1037–1052.
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[391]
2011 | Journal Article | LibreCat-ID: 16147
Fuzzy machine learning and data mining
E. Hüllermeier, WIREs Data Mining and Knowledge Discovery 1 (2011) 269–283.
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[390]
2011 | Journal Article | LibreCat-ID: 16148
SEGA: Semi-global graph alignment for structure-based protein comparison
M. Mernberger, G. Klebe, E. Hüllermeier, IEEE/ACM Transactions of Computational Biology and Bioinformatics 8 (2011) 1330–1343.
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[389]
2011 | Journal Article | LibreCat-ID: 16149
Superposition and alignment of labeled point clouds
T. Fober, S. Glinca, G. Klebe, E. Hüllermeier, IEEE/ACM Transactions on Computational Biology and Bioinformatics 8 (2011) 1653–1666.
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[388]
2011 | Journal Article | LibreCat-ID: 16150
Fuzzy sets in machine learning and data mining
E. Hüllermeier, Applied Soft Computing Journal (2011) 1493–1505.
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[387]
2011 | Journal Article | LibreCat-ID: 16153
Top-down induction of fuzzy pattern trees
R. Senge, E. Hüllermeier, IEEE Transactions on Fuzzy Systems 19 (2011) 241–252.
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[386]
2011 | Conference Paper | LibreCat-ID: 13194
An exact algorithm for F-measure maximization
K. Dembczynski, W. Waegeman, W. Cheng, E. Hüllermeier, in: In Proceedings NIPS-2011, 25th Annual Conference on Neural Information Processing Systems, Granada, Spain, 2011.
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[385]
2011 | Conference Paper | LibreCat-ID: 13195
Preference-based policy iteration: Leveraging preference learning for reinforcement learning
W. Cheng, J. Fuernkranz, E. Hüllermeier, S.H. Park, in: Proceedings ECML/PKDD-2011, European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, Athens, Greece, , 2011.
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[384]
2011 | Conference Paper | LibreCat-ID: 13196
Learning from label preferences
J. Fürnkranz, E. Hüllermeier, in: T. Elomaa, J. Hollmen, H. Mannila (Eds.), In Proceedings DS-2011, 14th International  Conference on Discovery Science, Number 6926 in LNAI, Springer, 2011, pp. 2–17.
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[383]
2011 | Conference Paper | LibreCat-ID: 13197
Learning monotone nonlinear models using the Choquet integral
A. Fallah Tehrani, W. Cheng, K. Dembczynski, E. Hüllermeier, in: In Proceedings ECML/PKDD-2011, European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, Athens, Greece, 2011.
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[382]
2011 | Conference Paper | LibreCat-ID: 13198
Preference-based CBR: First steps toward a methodological framework
E. Hüllermeier, P. Schlegel, in: A. Ram, N. Wiratunga (Eds.), In Proceedings ICCBR-2011, 19th International Conference on Case-Based Reasoning, Number 6880 in LNAI, Springer, 2011, pp. 77–91.
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[381]
2011 | Conference Paper | LibreCat-ID: 13588
Bipartite ranking through minimization of univariate loss
W. Kotlowski, K. Dembczynski, E. Hüllermeier, in: In Proceedings ICML-2011, 28th International Conference on Machine Learning, Washington, USA, 2011.
LibreCat
 
[380]
2010 | Book Chapter | LibreCat-ID: 15297
An Analysis of the FURIA algorithm for fuzzy rule induction
E. Hüllermeier, J. Hühn, in: J. Koronacki, Z.W. Ras, S.T. Wierzchon, J. Kacprzyk (Eds.), Advances in Machine Learning I: Dedicated to the Memory of Professor Ryszard S.Michalski, Springer, 2010, pp. 321–344.
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[379]
2010 | Book Chapter | LibreCat-ID: 15298
Preference Learning: An Introduction
J. Fürnkranz, E. Hüllermeier, in: J. Fürnkranz, E. Hüllermeier (Eds.), Preference Learning, Springer, 2010, pp. 1–18.
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[378]
2010 | Conference Paper | LibreCat-ID: 15765
Efficient similarity retrieval for protein binding sites based on histogram comparison
T. Fober, M. Mernberger, G. Klebe, E. Hüllermeier, in: In Proceedings GCB-2010 German Conference on Bioinformatics Braunschweig, Germany, 2010, pp. 51–60.
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[377]
2010 | Conference Paper | LibreCat-ID: 15772
On label dependence in multi-label classification
K. Dembczynski, W. Waegeman, W. Cheng, E. Hüllermeier, in: In Proceedings MLD-2010, 2nd International Workshop on Learning from Multi-Label Data, Haifa, Israel, 2010.
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[376]
2010 | Conference Paper | LibreCat-ID: 15118
Similarity measures for protein structures based on fuzzy histogram comparison
T. Fober, E. Hüllermeier, in: In Proceedings WCCI-2010, World Congress on Computational Intelligence, Barcelona, Spain, 2010.
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[375]
2010 | Conference Paper | LibreCat-ID: 15119
Pattern trees for regression and fuzzy systems modeling
R. Senge, E. Hüllermeier, in: In Proceedings WCCI-2010, World Congress on Computational Intelligence, Barcelona, Spain, 2010.
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[374]
2010 | Journal Article | LibreCat-ID: 16121
GARLig: A fully automated tool for subset selection of large fragment spaces via a self-adaptive genetic algorithm
P. Pfeffer, T. Fober, E. Hüllermeier, G. Klebe, Journal of Chemical Information and Modeling 50 (2010) 1644–1659.
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[373]
2010 | Journal Article | LibreCat-ID: 16151 LibreCat
 
[372]
2010 | Journal Article | LibreCat-ID: 16152
On predictive accuracy and risk minimization in pairwise label ranking
E. Hüllermeier, J. Fürnkranz, Journal of Computer and System Sciences 76 (2010) 49–62.
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[371]
2010 | Conference Paper | LibreCat-ID: 13589
Bayes optimal multilabel classification via probalistic classifier chains
K. Dembczynski, W. Cheng, E. Hüllermeier, in: J. Fürnkranz, T. Joachims (Eds.), In Proceedings ICML-2010, 27th International Conference on Machine Learning, Haifa, Israel, 2010, pp. 279–286.
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[370]
2010 | Conference Paper | LibreCat-ID: 13590
Label ranking based on the Plackett-Luce model
W. Cheng, K. Dembczynski, E. Hüllermeier, in: J. Fürnkranz, T. Joachims (Eds.), In Proceedings ICML-2010, 27th International Conference on Machine Learning, Haifa, Israel, 2010, pp. 215–222.
LibreCat
 
[369]
2010 | Conference Paper | LibreCat-ID: 13591
Graded multi-label classification: The ordinal case
W. Cheng, K. Dembczynski, E. Hüllermeier, in: J. Fürnkranz, T. Joachims (Eds.), In Proceedings ICML-2010, 27th International Conference on Machine Learning, Haifa, Israel, 2010.
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[368]
2010 | Conference Paper | LibreCat-ID: 13593
Regret analysis for performance metrics in multi-label classification: The case of Hamming and subset zero-one loss
K. Dembczynski, W. Waegeman, W. Cheng, E. Hüllermeier, in: In Proceedings ECML/PKDD-2010, European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, ,Bareclona, Spain, 2010.
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[367]
2010 | Conference Paper | LibreCat-ID: 13594
Predicting partial orders: Ranking with abstention
W. Cheng, M. Rademaker, B. De Beats, E. Hüllermeier, in: In Proceedings ECML/PKDD-2010, European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, ,Bareclona, Spain, 2010.
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[366]
2010 | Conference Paper | LibreCat-ID: 13597
Uncertainty in clustering and classification
E. Hüllermeier, in: In Proceedings SUM 2010, International Conference on Scalable Uncertainty Management , Springer, 2010, pp. 16–19.
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[365]
2009 | Conference Paper | LibreCat-ID: 15773
A simple instance-based approach to multilabel classification using the Mallows model
W. Cheng, E. Hüllermeier, in: In Proceedings MLD-2009 1st  International Workshop on Learning from Multi-Label Data, Bled, Slovenia, 2009, pp. 28–38.
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[364]
2009 | Conference Paper | LibreCat-ID: 15774
Learning pattern tree classifiers using a co-evolutionary algorithm
R. Senge, E. Hüllermeier, in: F. Hoffmann, E. Hüllermeier (Eds.), In Proceedings 19th Workshop Computational Intelligence, Dortmund Germany, KIT Scientific Publishing, 2009, pp. 22–33.
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[363]
2009 | Conference Paper | LibreCat-ID: 15775
Graph-kernels for the comparative analysis of protein active sites
T. Fober, M. Mernberger, R. Moritz, E. Hüllermeier, in: I. Grosse, S. Neumann, S. Posch, F. Schreiber, P.. Stadler (Eds.), In Proceedings GCB-2009 German Conference on Bioinformatics Halle (Saale), Germany, 2009, pp. 21–31.
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[362]
2009 | Conference Paper | LibreCat-ID: 15776
Learning pattern tree classifiers using a co-evolutionary algorithm
R. Senge, E. Hüllermeier, in: In Proceedings Workshop LWA-2009, Lernen-Wissensentdeckung-Adaptivität, Darmstadt, Germany, 2009, pp. 105–110.
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[361]
2009 | Conference Paper | LibreCat-ID: 15778
Extension and empirical comparison of graph-kernels for the analysis of protein active sites
T. Fober, M. Mernberger, V. Melnikov, R. Moritz, E. Hüllermeier, in: In Proceedings Workshop LWA-2009, Lernen-Wissensentdeckung-Adaptivität, Darmstadt, Germany, 2009, pp. 30–36.
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[360]
2009 | Conference Paper | LibreCat-ID: 15120
Efficient construction of multiple geometrical alignments for the comparison of protein binding sites
T. Fober, G. Klebe, E. Hüllermeier, in: In Proceedings ISDA-2009, 9th International Conference on Intelligent Systems Design and Applications, Pisa, Italy, 2009, pp. 1251–1256.
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[359]
2009 | Conference Paper | LibreCat-ID: 15194
Similarity analysis of protein binding sites: A generalization of the maximum common subgraph measure based on quasi-clique detection
I. Boukhris, Z. Elouedi, T. Fober, M. Mernberger, E. Hüllermeier, in: In Proceedings IDA-2009, 9th International Symposium on Intelligent Data Analysis, Pisa / Italy, 2009, pp. 1245–1250.
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[358]
2009 | Conference Paper | LibreCat-ID: 15195
Fuzzy modeling of labeled point cloud superposition for the comparison of protein binding sites
T. Fober, E. Hüllermeier, in: In Proceedings IFSA / EUSFLAT-2009 World Congress of  the Fuzzy Systems Association, Lissabon, Portugal, 2009, pp. 1299–1304.
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[357]
2009 | Conference Paper | LibreCat-ID: 15196
A fuzzy variant of the Rand index for comparing clustering structures
E. Hüllermeier, M. Rifqi, in: In Proceedings IFSA / EUSFLAT-2009 World Congress of  the Fuzzy Systems Association, Lissabon, Portugal, 2009, pp. 1294–1298.
LibreCat
 
[356]
2009 | Journal Article | LibreCat-ID: 16154
Merging chemical and biological space: Structural mapping of enzyme binding pocket space
N. Weskamp, E. Hüllermeier, G. Klebe, Proteins 76 (2009) 317–330.
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[355]
2009 | Journal Article | LibreCat-ID: 16158
FURIA: An Algorithm for unordered fuzzy rule induction
J. Hühn, E. Hüllermeier, Data Mining and Knowledge Discovery 19 (2009) 293–319.
LibreCat
 
[354]
2009 | Journal Article | LibreCat-ID: 16159
Why fuzzy decision trees are good rankers
E. Hüllermeier, S. Vanderlooy, IEEE Transactions on Fuzzy Systems 17 (2009) 1233–1244.
LibreCat
 
[353]
2009 | Journal Article | LibreCat-ID: 16160
Combining instance-based learning and logistic regression for multilabel classification
W. Cheng, E. Hüllermeier, Machine Learning 76 (2009) 211–225.
LibreCat
 
[352]
2009 | Journal Article | LibreCat-ID: 16161
Fuzzy operator trees for modeling rating functions
Y. Yi, T. Fober, E. Hüllermeier, International Journal of Computational Intelligence and Applications 8 (2009) 413–428.
LibreCat
 
[351]
2009 | Journal Article | LibreCat-ID: 16162
Evolutionary construction of multiple graph alignments for the structural analysis of biomolecules
T. Fober, M. Mernberger, G. Klebe, E. Hüllermeier, Bioinformatics 25 (2009) 2110–2117.
LibreCat
 
[350]
2009 | Journal Article | LibreCat-ID: 16163
FR3: A fuzzy rule learner for inducing reliable classifiers
J. Hühn, E. Hüllermeier, IEEE Transactions on Fuzzy Systems 17 (2009) 138–149.
LibreCat
 
[349]
2009 | Journal Article | LibreCat-ID: 16165
Supporting case-based retrieval by similarity skylines: Basic concepts and extensions
E. Hüllermeier, I. Vladimirskiy, B. Prados Suarez, E. Stauch, Künstliche Intelligenz 1 (2009) 24–29.
LibreCat
 
[348]
2009 | Book Chapter | LibreCat-ID: 10188
On the usefulness of fuzzy sets in data mining
E. Hüllermeier, in: R. Seising (Ed.), Views on Fuzzy Sets and Systems from Different Perspectives: Philosophy and Logic, Criticisms and Applications, Springer, 2009, pp. 457–470.
LibreCat
 
[347]
2009 | Conference Paper | LibreCat-ID: 13595
Decision tree and instance-based learning for label ranking
W. Cheng, J. Hühn, E. Hüllermeier, in: In Proceedings ICML-2009, 26th International Conference on Machine Learning, Montreal, Canada, 2009, pp. 161–168.
LibreCat
 
[346]
2009 | Conference Paper | LibreCat-ID: 13596
Binary decomposition methods for multipartite ranking
J. Fürnkranz, E. Hüllermeier, S. Vanderlooy, in: In Proceedings ECML/PKDD-2009, European Conference on Machine Learning and Principles and Knowledge Discovery in Databases, Bled Sloveniaery in Databases, Bled, Slovenia, 2009.
LibreCat
 
[345]
2009 | Conference Paper | LibreCat-ID: 13598
A new instance-based label ranking approach using the Mallows model. In Advances in Neural Networks
W. Cheng, E. Hüllermeier, in: In Proceedings 6th International Symposium on Neural Networks, Wuhan, China, Springer, 2009, pp. 707–716.
LibreCat
 
[344]
2008 | Conference Paper | LibreCat-ID: 15779
Weighted voting as approximate MAP prediction in pairwise classification
E. Hüllermeier, S. Vanderlooy, in: In Proceedings Workshop LWA-2008, Lernen-Wissensentdeckung-Adaptivität, Würzburg, Germany, 2008, pp. 34–41.
LibreCat
 
[343]
2008 | Conference Paper | LibreCat-ID: 15780
Evolutionary construction of multiple graph alignments for mining structured biomolecular data
T. Fober, E. Hüllermeier, M. Mernberger, in: In Proceedings Workshop LWA-2008, Lernen-Wissensentdeckung-Adaptivität, Würzburg, Germany, 2008, pp. 27–33.
LibreCat
 
[342]
2008 | Conference Paper | LibreCat-ID: 15781
Evolutionary construction of multiple graph alignments for the structural analysis of biomolecules
T. Fober, E. Hüllermeier, M. Mernberger, in: A. Beyer, M. Schroeder (Eds.), IIn Proceedings GCB-2008, Germany Conference on Bioinformatics, Dresden 2008, 2008, pp. 44–53.
LibreCat
 
[341]
2008 | Journal Article | LibreCat-ID: 16164
Is an ordinal class structure useful in classifier learning?
J. Hühn, E. Hüllermeier, International Journal of Data Mining, Modeling and Management 1 (2008) 45–67.
LibreCat
 
[340]
2008 | Journal Article | LibreCat-ID: 16166
Label ranking by learning pairwise preferences
E. Hüllermeier, J. Fürnkranz, W. Cheng, K. Brinker, Artificial Intelligence 172 (2008) 1897–1917.
LibreCat
 
[339]
2008 | Journal Article | LibreCat-ID: 16167
A critical analysis of variants of the AUC
S. Vanderlooy, E. Hüllermeier, Machine Learning 72 (2008) 247–272.
LibreCat
 
[338]
2008 | Journal Article | LibreCat-ID: 16168
Multilabel classification via calibrated label ranking
J. Fürnkranz, E. Hüllermeier, E. Mencia, K. Brinker, Machine Learning 73 (2008) 133–153.
LibreCat
 
[337]
2008 | Journal Article | LibreCat-ID: 16169
Learning valued preference structures for solving classification problems
E. Hüllermeier, K. Brinker, Fuzzy Sets and Systems 159 (2008) 2337–2352.
LibreCat
 
[336]
2008 | Journal Article | LibreCat-ID: 16184
Case-based learning in a bipolar possibilistic framework
J. Beringer, E. Hüllermeier, International Journal of Intelligent Systems 23 (2008) 1119–1134.
LibreCat
 
[335]
2008 | Book Chapter | LibreCat-ID: 16225
Granular computing in machine learning and data mining
E. Hüllermeier, in: W. Pedrycz, A. Skowron, V. Kreinovich (Eds.), Handbook on Granular Computing, John Wiley and Sons, 2008, pp. 889–906.
LibreCat
 
[334]
2008 | Book Chapter | LibreCat-ID: 10154
Fuzzy methods in data mining
E. Hüllermeier, in: Encyclopedia of Data Warehousing and Mining - Second Edition, Idea Group, Inc.,Hershey, USA, 2008, pp. 907–912.
LibreCat
 
[333]
2008 | Book Chapter | LibreCat-ID: 10185
Learning preference models from data: On the problem of label ranking and its variants
E. Hüllermeier, J. Fürnkranz, in: G. Della Riccia, D. Dubois, R. Kruse, H.J. Lenz (Eds.), Preferences and Similarities, Springer, 2008, pp. 283–304.
LibreCat
 
[332]
2008 | Conference Paper | LibreCat-ID: 13599
Supporting case-based retrieval by similarity skylines: Basic concepts and extensions
E. Hüllermeier, I. Vladimirskiy, B. Prados Suarez, E. Stauch, in: K.D. Althoff, R. Bergmann, M. Minor, A. Hanft (Eds.), In Proceedings ECCBR-2008 9th European Conference on Case-Based  Reasoning, Trier, Germany, 2008, pp. 240–254.
LibreCat
 
[331]
2008 | Conference Paper | LibreCat-ID: 13600
Learning similarity functions from qualitative feedback
W. Cheng, E. Hüllermeier, in: K.D. Althoff, R. Bergmann, M. Minor, A. Hanft (Eds.), In Proceedings ECCBR-2008 9th European Conference on Case-Based  Reasoning, Trier, Germany, Springer, 2008, pp. 120–134.
LibreCat
 
[330]
2007 | Conference Paper | LibreCat-ID: 15782
Interactive ranking of skylines using machine learning techniques
W. Cheng, E. Hüllermeier, B. Seeger, I. Vladimirskiy, in: In Proceedings Workshop LWA-2007, Lernen-Wissensentdeckung-Adaptivität, Halle/Saale, Germany, 2007, pp. 141–148.
LibreCat
 
[329]
2007 | Conference Paper | LibreCat-ID: 15783
Evolutionary construction of multiple graph alignments for the structural analysis of biomolecules
T. Fober, E. Hüllermeier, M. Mernberger, in: R. Mikut, M. Reischl (Eds.), In Proceedings 17th Workshop Computational Intelligence, Dortmund Germany, 2007, pp. 1–14.
LibreCat
 
[328]
2007 | Conference Paper | LibreCat-ID: 15784
Similarity search over uncertain archaeological data using a modified skyline operator
I. Vladimirskiy, E. Hüllermeier, E. Stauch, in: D.C. Wilson, D. Khemani (Eds.), In Workshop Proceedings from ICCBR-2007 7th International Conference on Case-Based Reasoning, Belfast, Northern Ireland, 2007, pp. 31–40.
LibreCat
 
[327]
2007 | Conference Paper | LibreCat-ID: 14832
On minimizing the position error in label ranking
E. Hüllermeier, J. Fürnkranz, in: In Proceedings ECML-2007, 17th European Conference on Machine Learning, Warsawa, Poland, September 2007, Springer, 2007.
LibreCat
 
[326]
2007 | Conference Paper | LibreCat-ID: 14833
Label ranking in case-based reasoning
K. Brinker, E. Hüllermeier, in: M. Richter, R. Weber (Eds.), In Proceedings ICCBR-2007, 7th International Conference on Case-Based Reasoning, Belfast, Northern Ireland, Springer, 2007, pp. 77–91.
LibreCat
 
[325]
2007 | Conference Paper | LibreCat-ID: 14834
Efficient instance-based learning on data streams
J. Beringer, E. Hüllermeier, in: P. Perner (Ed.), In Proceedings ICDM-2007, International Conference on Industrial Data Mining, Leipzig, Springer, 2007, pp. 34–48.
LibreCat
 
[324]
2007 | Conference Paper | LibreCat-ID: 14835
Case-based multilabel ranking
K. Brinker, E. Hüllermeier, in: In Proceedings IJCAI-07, 20th International Joint Conference on Artificial Intelligence, Hyerabad, India, January 2007, 2007, pp. 701–707.
LibreCat
 
[323]
2007 | Conference Paper | LibreCat-ID: 15197
Fuzzy-relational classificaton : Combining pairwise decomposition techniques with fuzzy preference modeling
E. Hüllermeier, K. Brinker, in: In Proceedings EUSFLAT-2007 5th International Conference on the European Society for Fuzzy Logic and Technology, Ostrava, Czech Republic, 2007, pp. 353–360.
LibreCat
 
[322]
2007 | Conference Paper | LibreCat-ID: 15198
Adaptive optimization of the number of clusters in fuzzy clustering, London 2007
J. Beringer, E. Hüllermeier, in: In Proceedings FUZZ-IEEE-07, IEEE International Conference on Fuzzy Systems, 2007.
LibreCat
 
[321]
2007 | Conference Paper | LibreCat-ID: 15199
Graph alignment: Fuzzy pattern mining for the structural analysis of protein active sites
E. Hüllermeier, N. Weskamp, G. Klebe, D. Kuhn, in: In Proceedings FUZZ-IEEE-07, IEEE International Conference on Fuzzy Systems, London, 2007.
LibreCat
 
[320]
2007 | Journal Article | LibreCat-ID: 16170
In defense of fuzzy association analysis
E. Hüllermeier, Y. Yi, IEEE Transactions on Systems, Man and Cybernetics-Part B: Cybernetics 37 (2007) 1039–1043.
LibreCat
 
[319]
2007 | Journal Article | LibreCat-ID: 16171
Credible case-based inference using similarity profiles
E. Hüllermeier, IEEE Transactions on Knowledge and Data Engineering 19 (2007) 847–858.
LibreCat
 
[318]
2007 | Journal Article | LibreCat-ID: 16172
Efficient instance-based learning on data streams
J. Beringer, E. Hüllermeier, Intelligent Data Analysis 11 (2007) 627–650.
LibreCat
 
[317]
2007 | Journal Article | LibreCat-ID: 16175
Comparing probability measures using possibility theory: A notion of relative peakedness
D. Dubois, E. Hüllermeier, International Journal of Approximate Reasoning 45 (2007) 364–385.
LibreCat
 
[316]
2007 | Journal Article | LibreCat-ID: 16179
Multiple graph aligment for the structural analysis of protein active sites
N. Weskamp, E. Hüllermeier, D. Kuhn, G. Klebe, IEEE/ACM Transactions of Computational Biology and Bioinformatics 4 (2007) 310–320.
LibreCat
 
[315]
2007 | Journal Article | LibreCat-ID: 16194
Risk assessment for natural hazards: A new approach based on fuzzy probability
I. Karimi, E. Hüllermeier, Fuzzy Sets and Systems 158 (2007) 987–999.
LibreCat
 
[314]
2007 | Book Chapter | LibreCat-ID: 16224
Why fuzzy set theory is useful in data mining
E. Hüllermeier, in: F. Masseglia, P. Poncelet, M. Teisseire (Eds.), Successes and New Directions in Data Mining, Information Science Reference, Hershey, New York, 2007, pp. 1–16.
LibreCat
 
[313]
2007 | Book Chapter | LibreCat-ID: 16226
Fuzzy clustering of parallel data streams
J. Beringer, E. Hüllermeier, in: J. Valente de Oliveira, W. Pedrycz (Eds.), Advances in Fuzzy Clustering and Its Applications , John Wiley and Sons, 2007, pp. 333–352.
LibreCat
 
[312]
2007 | Book Chapter | LibreCat-ID: 16227
Fuzzy methods for data mining and machine learning: State of the art and prospects
E. Hüllermeier, in: Fuzzy Sets and Their Extensions: Representation, Aggregation and Models, Springer, 2007, pp. 355–374.
LibreCat
 
[311]
2007 | Book | LibreCat-ID: 16282
Case-based Approximate Reasoning
E. Hüllermeier, Case-Based Approximate Reasoning, Springer, 2007.
LibreCat
 
[310]
2007 | Conference Paper | LibreCat-ID: 13601
On pairwise Naive Bayes classifiers
J.N. Sulzmann, J. Fürnkranz, E. Hüllermeier, in: In Proceedings ECML-2007, 17th European Conference on Machine Learning, Warsawa, Poland, Springer, 2007.
LibreCat
 
[309]
2006 | Conference Paper | LibreCat-ID: 15785
Adaptive optimization of the number of clusters in fuzzy clustering, Dortmund, Germany 2006
J. Beringer, E. Hüllermeier, in: R. Mikut, M. Reischl (Eds.), In Proceedings 16th Workshop Computational Intelligence, Dortmund Germany, 2006, pp. 140–149.
LibreCat
 
[308]
2006 | Conference Paper | LibreCat-ID: 15786
Classification via fuzzy preference learning
E. Hüllermeier, K. Brinker, in: R. Mikut, M. Reischl (Eds.), In Proceedings 16th Workshop Computational Intelligence, Dortmund Germany, 2006, pp. 190–199.
LibreCat
 
[307]
2006 | Conference Paper | LibreCat-ID: 15798
Credible case-based inference using similarity profiles
E. Hüllermeier, in: M. Minor (Ed.), In Proceedings of ECCBR-2006 Workshops, 8th European Conference on Case-Based Reasoning, Ölüdeniz/Fethiye Turkey, 2006, pp. 230–242.
LibreCat
 
[306]
2006 | Conference Paper | LibreCat-ID: 14836
Hierarchical classification by expected utility maximization
K. Bade, E. Hüllermeier, A. Nürnberger, in: In Proceedings ICDM-2006, IEEE International Conference on Data Mining, IEEE Computer Society Press, 2006, pp. 43–52.
LibreCat
 
[305]
2006 | Conference Paper | LibreCat-ID: 14837
Case-based label ranking
K. Brinker, E. Hüllermeier, in: In Proceedings ECML-2006, 17th European Conference on Machine Learning, Berlin September 2006, Springer, 2006, pp. 566–573.
LibreCat
 
[304]
2006 | Conference Paper | LibreCat-ID: 14838
A unified model for multilabel classification and ranking
K. Brinker, J. Fuernkranz, E. Hüllermeier, in: G. Brewka, S. Coradeschi, A. Perini, P. Traverso (Eds.), In Proceedings ECAI-2006, 17th European Conference on Artificial Inteligence, Riva Del Garda, Italy, 2006, pp. 489–493.
LibreCat
 
[303]
2006 | Conference Paper | LibreCat-ID: 15201
Integrating instance-based learning and logistic regression
E. Hüllermeier, in: In Proceedings IPMU-2006 11th International Conference on Information Processing and Management  of Uncertainty in Knowledge-Based Systems, Paris, France, 2006.
LibreCat
 
[302]
2006 | Conference Paper | LibreCat-ID: 15213
The Choquet integral as an aggregation operator in case-based learning
E. Hüllermeier, in: B. Reusch (Ed.), In Proceeding of the International Conference on Computational Intelligence, 9th Fuzzy Days, Dortmund, Springer, 2006, pp. 615–628.
LibreCat
 
[301]
2006 | Journal Article | LibreCat-ID: 16173
A systematic approach to the assessment of fuzzy association rules
D. Dubois, E. Hüllermeier, H. Prade, Data Mining and Knowledge Discovery 13 (2006) 167–192.
LibreCat
 
[300]
2006 | Journal Article | LibreCat-ID: 16176
Fuzzy methods in case-based recommendation and decision support
D. Dubois, E. Hüllermeier, H. Prade, Journal of Intelligent Information Systems 27 (2006) 95–115.
LibreCat
 
[299]
2006 | Journal Article | LibreCat-ID: 16177
Learning from ambiguously labeled examples
E. Hüllermeier, J. Beringer, Intelligent Data Analysis 10 (2006) 419–440.
LibreCat
 
[298]
2006 | Journal Article | LibreCat-ID: 16180
Physicochemical descriptors to discriminate protein interactions in permanent and transient complexes by means of machine learning algorithms
P. Block, J. Paern, E. Hüllermeier, P. Sanschagrin, C. Sotriffer, G. Klebe, Proteins: Structure, Function and Bioinformatics 65 (2006) 607–622.
LibreCat
 
[297]
2006 | Journal Article | LibreCat-ID: 16182
From the similarity analysis of protein cavities to the functional classification of protein families using Cavbase
D. Kuhn, N. Weskamp, S. Schmitt, E. Hüllermeier, G. Klebe, Journal of Molecular Biology 359 (2006) 1023–1044.
LibreCat
 
[296]
2006 | Journal Article | LibreCat-ID: 16183
Online clustering of parallel data streams
J. Beringer, E. Hüllermeier, Data and Knowledge Engineering 58 (2006) 180–204.
LibreCat
 
[295]
2006 | Journal Article | LibreCat-ID: 16195
A fuzzy-probablistic earthquake risk assessment system
I. Karimi, E. Hüllermeier, K. Meskouris, Soft Computing 11 (2006) 229–238.
LibreCat
 
[294]
2005 | Conference Paper | LibreCat-ID: 15799
Calibrated label-ranking
K. Brinker, E. Hüllermeier, in: S. Agarwal, C. Cortes, R. Herbrich (Eds.), In Proceedings of the NIPS-2005 Workshop on Learning to Rank, Whistler, BC, Canada, http://web.mit.edu/shivani/www/Ranking-NIPS-05/., 2005, pp. 1–6.
LibreCat
 
[293]
2005 | Conference Paper | LibreCat-ID: 15800
On position error and label ranking through iterated choice
E. Hüllermeier, J. Fürnkranz, J. Beringer, in: In Proceedings LWA/FGML-2005, German Workshop on Machine Learning, Saarbrücken, Germany , 2005, pp. 158–163.
LibreCat
 
[292]
2005 | Conference Paper | LibreCat-ID: 14839
A method for combining interacting pieces of evidence in case-based learning
E. Hüllermeier, C. NN, in: L. Kaelbling, A. Saffiotti (Eds.), In Proceedings IJCAI-05, 19th International Joint Conference on Artificial Intelligence, Edingburgh, Scotland, 2005, pp. 3–8.
LibreCat
 
[291]
2005 | Conference Paper | LibreCat-ID: 14840
Learning label preferences: Ranking error versus position error
E. Hüllermeier, J. Fürnkranz, in: A. Famili, J. Kok, J. Pena, A. Siebes, A. Feelders (Eds.), In Proceedings IDA-2005, 6th International Symposium on Intelligent Data Analysis, Madrid, Springer, 2005, pp. 180–191.
LibreCat
 
[290]
2005 | Conference Paper | LibreCat-ID: 14841
Learning from ambiguously labeled examples
E. Hüllermeier, J. Beringer, in: A. Famili, J. Kok, J. Pena, A. Siebes, A. Feelders (Eds.), In Proceedings IDA-2005, 6th International Symposium on Intelligent Data Analysis, Madrid, Springer, 2005, pp. 168–179.
LibreCat
 
[289]
2005 | Conference Paper | LibreCat-ID: 15105
A notion of comarative probabilistic entroy based on the possibilistic specificity ordering
D. Dubois, E. Hüllermeier, in: In Proceedings ECSQARU-2005, 8th European Conference of Symbolic and Quantitative Approaches to Reasoning with Uncertainty, Barcelona, Spain, 2005.
LibreCat
 
[288]
2005 | Conference Paper | LibreCat-ID: 15214
A fuzzy-probablistic risk assessment system for natural disasters
I. Karimi, E. Hüllermeier, in: In Proceedings IFSA-2005, 11th  World Congress of the International Fuzzy System Association, Beijing, China, 2005, pp. 1147–1153.
LibreCat
 
[287]
2005 | Conference Paper | LibreCat-ID: 15215
Improving the interpretability of data-driven evolving fuzzy systems
E. Lughofer, E. Hüllermeier, E. Klement, in: In Proceedings EUSFLAT-2005 4th International Conference on the European Society for Fuzzy Logic and Technology, Barcelona, Spain, 2005.
LibreCat
 
[286]
2005 | Conference Paper | LibreCat-ID: 15216
Learning complexity-boundet rule-based classifiers by combining association analysis and genetic algorithms
Y. Yi, E. Hüllermeier, in: In Proceedings EUSFLAT-2005 4th International Conference on the European Society for Fuzzy Logic and Technology,  Barcelona, Spain, 2005.
LibreCat
 
[285]
2005 | Journal Article | LibreCat-ID: 16174
Fuzzy sets in machine learning and data mining: Status and prospects
E. Hüllermeier, Fuzzy Sets and Systems 156 (2005) 387–406.
LibreCat
 
[284]
2005 | Journal Article | LibreCat-ID: 16178
Experience-based decision making: A satisficing decision tree approach
E. Hüllermeier, IEEE Transactions on Systems, Man and Cybernetics-Part A: Systems and Humans 35 (2005) 641–653.
LibreCat
 
[283]
2005 | Journal Article | LibreCat-ID: 16181
Clustering of gene expression data using a local shape-based similarity measure
R. Balasubramaniyan, E. Hüllermeier, N. Weskamp, J. Kämper, Bioinformatics 21 (2005) 1069–1077.
LibreCat
 
[282]
2004 | Conference Paper | LibreCat-ID: 15801
A systematic approach to the assessment of fuzzy association rules
D. Dubois, E. Hüllermeier, H. Prade, in: J. Cubero, D. Sanchez, Z. Ras, T. Sudkamp (Eds.), In Proceedings of the Workshop on Alternative Techniques for Data Mining and Knowledge Discovery, IEEE International Conference on Data Mining, Brighton, UK, 2004.
LibreCat
 
[281]
2004 | Conference Paper | LibreCat-ID: 15804
Graph alignments: A new concept to detect conserved regions in protein active sites
N. Weskamp, E. Hüllermeier, D. Kuhn, G. Klebe, in: R. Giegerich, J. Stoye (Eds.), In Proceedings of GCB-2004 of the German Conference on Bioinformatics, Bielefeld, Germany, Springer, 2004, pp. 131–140.
LibreCat
 
[280]
2004 | Conference Paper | LibreCat-ID: 14842
Instance-based prediction with guaranteed confidence
E. Hüllermeier, in: R. Lopez de Mantaras, L. Saitta (Eds.), In Proceedings ECAI-2004, 16th European Conference on Artificial Inteligence, Valencia, Spain, IOS Press, 2004, pp. 97–101.
LibreCat
 
[279]
2004 | Conference Paper | LibreCat-ID: 15217
Comparison of ranking procedures in pairwise preference learning
E. Hüllermeier, J. Fürnkranz, in: In Proceedings IPMU-2004 10th International Conference on Information Processing and Management  of Uncertainty in Knowledge-Based Systems, Perugia, Italy, 2004.
LibreCat
 
[278]
2004 | Conference Paper | LibreCat-ID: 15218
Ranking by pairwise comparison: A note on risk minimization
E. Hüllermeier, J. Fürnkranz, in: In Proceedings FUZZ-IEEE-04, IEEE International Conference on Fuzzy Systems, Budapest, Hungary, 2004.
LibreCat
 
[277]
2004 | Conference Paper | LibreCat-ID: 15219
An earthquake risk assessment method based on fuzzy probability
I. Karimi, E. Hüllermeier, K. Meskouris, in: In Proceedings 6th International FLINS Conference on Applied  Computational Intelligence, Duinse Polders, Blankenberg,Belgien, 2004.
LibreCat
 
[276]
2004 | Conference Paper | LibreCat-ID: 15220
Learning decision rules from positive and negative preferences
E. Hüllermeier, J. Beringer, in: In Proceedings IPMU-2004 10th International Conference on Information Processing and Management  of Uncertainty in Knowledge-Based Systems, Perugia, Italy, 2004.
LibreCat
 
[275]
2004 | Journal Article | LibreCat-ID: 16185
An evolutionary approach to constraints-regularized learning
E. Hüllermeier, I. Renners, A. Grauel, Mathware and Soft Computing 11 (2004) 109–124.
LibreCat
 
[274]
2004 | Journal Article | LibreCat-ID: 16186
Efficient similarity search in protein structure databases: Improving clique-detection through clique-hashing
N. Weskamp, D. Kuhn, E. Hüllermeier, G. Klebe, Bioinformatics 20 (2004) 1522–1526.
LibreCat
 
[273]
2004 | Journal Article | LibreCat-ID: 16187
Flexible constraints for regularization in learning from data
E. Hüllermeier, International Journal of Intelligent Systems 19 (2004) 525–541.
LibreCat
 
[272]
2003 | Conference Paper | LibreCat-ID: 15802
Efficient similarity search in protein structure databases: Improving clique-detection through geometric hashing
N. Weskamp, D. Kuhn, E. Hüllermeier, G. Klebe, in: In Proceedings GCB-2003 German Conference on Bioinformatics, Munich, Germany, 2003.
LibreCat
 
[271]
2003 | Conference Paper | LibreCat-ID: 15803
Instance-based learning of credible label sets
E. Hüllermeier, in: A. Günter, R. Kruse, B. Neumann (Eds.), In Proceedings KI-2003, 26th German Conference on Artificial Intelligence, Hamburg, Germany, Springer, 2003.
LibreCat
 
[270]
2003 | Conference Paper | LibreCat-ID: 15065
Regularized learning with flexible constraints
E. Hüllermeier, in: M.R. Berthold, H.J. Lenz, E. Bradley, R. Kruse, C. Borgelt (Eds.), In Proceddings IDA-03, 5th International Symposium on Intelligent Data Anaysis, Springer, 2003.
LibreCat
 
[269]
2003 | Conference Paper | LibreCat-ID: 15066
Pairwise preference learning and ranking
J. Fürnkranz, E. Hüllermeier, in: In Proceedings ECML-2003, 13 Th European Conference on Machine Learning, Cavtat-Dubrovnik, Croatia, Springer, 2003.
LibreCat
 
[268]
2003 | Conference Paper | LibreCat-ID: 15221
Instance-based collaborative filtering with fuzzy labels
E. Hüllermeier, in: In Proceedings EUSFLAT-2003 3th International Conference on the European Society for Fuzzy Logic and Technology, Zittlau, Germany, 2003, pp. 468–473.
LibreCat
 
[267]
2003 | Conference Paper | LibreCat-ID: 15222
A note on quality measures for fuzzy association rules
D. Dubois, E. Hüllermeier, H. Prade, in: T. Bilgic, B. De Beats, O. Kaynak (Eds.), In Proceedings IFSA-03 10th International Fuzzy Systems Association World Congress, Istanbul, Turkey, Springer, 2003, pp. 648–677.
LibreCat
 
[266]
2003 | Conference Paper | LibreCat-ID: 15223
Inducing fuzzy concepts through extended version space learning
E. Hüllermeier, in: T. Bilgic, B. De Beats, O. Kaynak (Eds.), In Proceedings IFSA-03 10th International Fuzzy Systems Association World Congress, Istanbul, Turkey, Springer, 2003, pp. 648–677.
LibreCat
 
[265]
2003 | Journal Article | LibreCat-ID: 16188
Possibilistic instance-based learning
E. Hüllermeier, Artificial Intelligence 148 (2003) 335–383.
LibreCat
 
[264]
2003 | Journal Article | LibreCat-ID: 16189
Flexibility and case-based evaluation in querying: An Illustration in an experimental setting
M. De Calmès, D. Dubois, E. Hüllermeier, H. Prade, F. Sèdes, International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems 11 (2003) 43–66.
LibreCat
 
[263]
2003 | Journal Article | LibreCat-ID: 16190
On the representation of fuzzy rules in terms of crisp rules
D. Dubois, E. Hüllermeier, H. Prade, Information Sciences 151 (2003) 301–326.
LibreCat
 
[262]
2003 | Book Chapter | LibreCat-ID: 16228
Sequential decision making in heuristic search
E. Hüllermeier, in: G. Della Riccia, D. Dubois, R. Kruse, H.J. Lenz (Eds.), Planning Based on Decision Theory (CISM Courses and Lectures No.472), Springer, 2003.
LibreCat
 
[261]
2003 | Book Chapter | LibreCat-ID: 16229
Possibilistic case-based decisions
D. Dubois, E. Hüllermeier, H. Prade, in: C. Lesage, M. Cottrell (Eds.), Connectionist Approaches in Economics and Management  Sciences, Kluwer, 2003.
LibreCat
 
[260]
2003 | Book Chapter | LibreCat-ID: 16230
Mining implication-based fuzzy association rules in databases
E. Hüllermeier, J. Beringer, in: B. Bouchon-Meunier, L. Foulloy, R.R.. Yager (Eds.), Intelligent Systems for Information Processing: From Representation to Applications, Elsevier, 2003.
LibreCat
 
[259]
2002 | Conference Paper | LibreCat-ID: 14843
On the representation and combination of evidence in instance-based learning
E. Hüllermeier, in: In Proceedings ECAI-2002, 15th European Conference on Artificial Intelligence, Lyon, France, IOS Press, 2002, pp. 360–364.
LibreCat
 
[258]
2002 | Conference Paper | LibreCat-ID: 15064
A fuzzy set approach to flexible case-based querying: methodology and experimentation
M. De Calmès, D. Dubois, E. Hüllermeier, H. Prade, F. Sèdes, in: D. Fensel, F. Giunchiglia, D. Mc Guinness, M.A. Williams (Eds.), In Proceedings KR-02, 8th International Conference on Principles of Knowledge Representation and Reasoning, France, Morgan Kaufmann, 2002, pp. 449–458.
LibreCat
 
[257]
2002 | Conference Paper | LibreCat-ID: 15098
Association rules for expressing gradual dependencies
E. Hüllermeier, in: In Proceedings PKDD-02  6th European Conference on Principles and Practise of Knowledge Discovery in Databases, Helsinki, Finland, Springer, 2002, pp. 200–211.
LibreCat
 
[256]
2002 | Conference Paper | LibreCat-ID: 15101
Possibilistic induction in decision tree learning
E. Hüllermeier, in: In Proceedings ECML-02, 13th European Conference on Machine Learning, Helsinki Finland, Springer, 2002, pp. 173–184.
LibreCat
 
[255]
2002 | Conference Paper | LibreCat-ID: 15226
Mining implication-based fuzzy association rules in databases
E. Hüllermeier, in: In Proceedings IPMU-2002 9th International Conference on Information Processing and Management  of Uncertainty in Knowledge-Based Systems,Annecy, France, 2002, pp. 101–108.
LibreCat
 
[254]
2002 | Conference Paper | LibreCat-ID: 15227
Exploiting similarity and experience in decision making
E. Hüllermeier, in: In Proceedings FUZZ-IEEE-02, IEEE International Conference on Fuzzy Systems, Honolulu, Hawaii, 2002, pp. 729–734.
LibreCat
 
[253]
2002 | Conference Paper | LibreCat-ID: 15228
Case-based quering and prediction: A fuzzy set approach
M. De Calmès, D. Dubois, E. Hüllermeier, H. Prade, F. Sèdes, in: In Proceedings FUZZ-IEEE-02, IEEE International Conference on Fuzzy Systems, Honolulu, Hawaii, 2002, pp. 735–740.
LibreCat
 
[252]
2002 | Journal Article | LibreCat-ID: 16191
Model adaption in possibilistic instance-based reasoning
E. Hüllermeier, D. Dubois, H. Prade, IEEE Transactions on Fuzzy Systems 10 (2002) 333–339.
LibreCat
 
[251]
2002 | Journal Article | LibreCat-ID: 16192
Fuzzy set-based methods in instance-based reasoning
D. Dubois, E. Hüllermeier, H. Prade, IEEE Transactions on Fuzzy Systems 10 (2002) 322–332.
LibreCat
 
[250]
2002 | Book Chapter | LibreCat-ID: 16232
Knowledge-based extrapolation of cases: A possibilistic approach
E. Hüllermeier, D. Dubois, H. Prade, in: B. Bouchon-Meunier, J. Gutierrez-Rios, L. Magdalena, R.R. Yager (Eds.), Technologies for Constructing Intelligent Systems, Springer, 2002, pp. 377–390.
LibreCat
 
[249]
2001 | Conference Paper | LibreCat-ID: 15300
Experience-based decision making and learning from examples
E. Hüllermeier, in: In Proceedings SOR-01 Symposium on Operations Research, Duisburg, Germany, Springer, 2001.
LibreCat
 
[248]
2001 | Conference Paper | LibreCat-ID: 15805
Possibilistic instance-based learning
E. Hüllermeier, in: In Proceedings FGML-2001 German Workshop on Machine Learning, Dortmund, Germany, 2001, pp. 108–115.
LibreCat
 
[247]
2001 | Conference Paper | LibreCat-ID: 15806
Implication-based fuzzy association rules
E. Hüllermeier, in: In Proceedings FGML-2001 German Workshop on Machine Learning, Dortmund, Germany, 2001, pp. 93–99.
LibreCat
 
[246]
2001 | Conference Paper | LibreCat-ID: 15807
Instance-based prediction in the framework of possibility theory
E. Hüllermeier, D. Dubois, H. Prade, in: In Proceedings of Workshop on Soft Computing in Case-Based Reasoning, Vancouver, Canada, 2001.
LibreCat
 
[245]
2001 | Conference Paper | LibreCat-ID: 15106
Implication-based fuzzy association rules
E. Hüllermeier, in: D. Raedt, A. Siebes (Eds.), In Proceedings PKDD-01  5th European Conference on Principles and Practise of Knowledge Discovery in Databases, Freiburg, Germany, Springer, 2001, pp. 241–252.
LibreCat
 
[244]
2001 | Conference Paper | LibreCat-ID: 15229
Fuzzy association rules: Semantic issues and quality measures
E. Hüllermeier, in: B. Reusch (Ed.), In Proceedings of the International Conference on Computational Intelligence 7th Fuzzy Days, Dortmund, Germany, Springer, 2001, pp. 380–391.
LibreCat
 
[243]
2001 | Conference Paper | LibreCat-ID: 15230
Toward the representation of implication-based fuzzy rules in terms of crisp rules
D. Dubois, E. Hüllermeier, H. Prade, in: In Proceedings IFSA/NAFIPS-2001  Joint 9th World Congress of the International Fuzzy Systems Association and 20th Internatinonal Conference of the North American Fuzzy Information Processing Society, Vancouver, Canada, 2001, pp. 1592–1597.
LibreCat
 
[242]
2001 | Journal Article | LibreCat-ID: 16193
Similarity-based inference as evidential reasoning
E. Hüllermeier, International Journal of Approximate Reasoning 26 (2001) 67–100.
LibreCat
 
[241]
2001 | Book Chapter | LibreCat-ID: 16231
Machinelles Lernen und Komplexität
E. Hüllermeier, in: F. Haslinger, P. Weise (Eds.), Ökonomie Und Gesellschaft, Jahrbuch 17: Komplexität Und Lernen, Metropolis, 2001, pp. 255–288.
LibreCat
 
[240]
2001 | Book Chapter | LibreCat-ID: 16233
Empirische Überprüfung eines synergetischen Konjunkturmodells
M. Kraft, E. Hüllermeier, P. Weise, in: H.-W. Lorenz, B. Meyer (Eds.), Studien Zur Evoltorischen Ökonomik IV, Duncker & Humblot, Berlin, 2001, pp. 11–44.
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[439]
2013 | Conference Paper | LibreCat-ID: 15752
Labelwise versus pairwise decomposition in label ranking
W. Cheng, S. Henzgen, E. Hüllermeier, in: In Proceedings Workshop LWA-2009, Lernen-Wissensentdeckung-Adaptivität, Bamberg, Germany, 2013, pp. 129–136.
LibreCat
 
[438]
2013 | Conference Paper | LibreCat-ID: 15753
Rectifying classifier chains for multi-label classification, Bamberg, Germany
R. Senge, J. del Coz, E. Hüllermeier, in: In Proceedings Workshop LWA-2009, Lernen-Wissensentdeckung-Adaptivität, Bamberg, Germany, 2013, pp. 151–158.
LibreCat
 
[437]
2013 | Conference Paper | LibreCat-ID: 15755
Preference-based evolutionary optimization using generalized racing algorithms
R. Busa-Fekete, T. Fober, E. Hüllermeier, in: F. Hoffmann, E. Hüllermeier (Eds.), In Proceedings 23th Workshop Computational Intelligence, Dortmund Germany, KIT Scientific Publishing, 2013, pp. 237–246.
LibreCat
 
[436]
2013 | Conference Paper | LibreCat-ID: 15756
Weighted rank correlation measures based on fuzzy order relations
S. Henzgen, E. Hüllermeier, in: F. Hoffmann, E. Hüllermeier (Eds.), In Proceedings 23th Workshop Computational Intelligence, Dortmund Germany, KIT Scientific Publishing, 2013, pp. 227–236.
LibreCat
 
[435]
2013 | Conference Paper | LibreCat-ID: 15757
Interactive Q-learning with ordinal rewards and unreliable tutor
P. Weng, R. Busa-Fekete, E. Hüllermeier, in: In Proceedings ECML/PKDD-Workshop on Reinforcement Learning from Generalized Feedback:Beyond Numerical Rewards, Prague, 2013.
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[434]
2013 | Conference Paper | LibreCat-ID: 15758
Preference-based evolutionary direct policy search
R. Busa-Fekete, B. Szörenyi, P. Weng, E. Hüllermeier, in: In Proceedings ECML/PKDD-Workshop on Reinforcement Learning from Generalized Feedback:Beyond Numerical Rewards, Prague, 2013.
LibreCat
 
[433]
2013 | Conference Paper | LibreCat-ID: 15759
A nearest neigbor approach to label ranking based on generalized labelwise loss minimization
W. Cheng, E. Hüllermeier, in: In Proceedings M-PREF`13, 7th Multidisciplinary Workshop on Advances in Preference Handling Beijing, China, 2013.
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[432]
2013 | Conference Paper | LibreCat-ID: 15760
Event history analysis on data streams: An application to earthquake occurence
A. Shaker, E. Hüllermeier, in: G. Krempl, I. Zliobaite, Y. Wang, G. Forman (Eds.), In Proceedings RealStream 2013, 1st International Workshop on Real-World Challenges for Data Stream Mining, Prague, Czech Republic, 2013, pp. 38–41.
LibreCat
 
[431]
2013 | Conference Paper | LibreCat-ID: 15761
On the problem of error propagation in classier chains for multi-label classification. Data Analysis, Machine Learning and Knowledge Discovery
R. Senge, J.J. del Coz, E. Hüllermeier, in: L. Schmidt-Thieme, M. Spiliopoulou (Eds.), In Proceedings of GFKL-2012, 36th Annual Conference of the German Classification Society, Studies in Classification, Data Analysis and Knowledge Organization, Hildesheim, Germany , Springer, 2013.
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[430]
2013 | Conference Paper | LibreCat-ID: 15763
Local clique merging: An extension of the maximum common subgraph measure with applications in structural bioinformatics, Algorithms from and for Nature and Life
T. Fober, G. Klebe, E. Hüllermeier, in: B. Lausen, D. Van den Poel, A. Ultsch (Eds.), In Proceedings GFKL-2011, Conference of the German Classification Society, Frankfurt Germany, Springer, 2013, pp. 279–286.
LibreCat
 
[429]
2013 | Conference Paper | LibreCat-ID: 15112
Ordinal Choquistic regression
A. Fallah Tehrani, E. Hüllermeier, in: J. Montero, G. Pasi, D. Ciucci (Eds.), In Proceedings EUSFLAT-2013 8th International Conference on the European Society for Fuzzy Logic and Technology, Milano, Italy, Atlantis Press, 2013.
LibreCat
 
[428]
2013 | Conference Paper | LibreCat-ID: 15113
Fuzzy Pattern Trees as an alternative to rule-based fuzzy systems: Knowledge-driven, data-driven and hybrid modeling of colour yield in poyester dyeing, Edmonton, Canada
N. Nasiri, T. Fober, R. Senge, E. Hüllermeier, in: In Proceedings IFSA-2013 World Congress of the International Fuzzy Systems Association, Edmonton, Canada, 2013, pp. 715–721.
LibreCat
 
[427]
2013 | Journal Article | LibreCat-ID: 16044
Multilabel classification for exploiting cross-resistance information in HIV-1 drug resistence prediction
D. Heider, R. Senge, W. Cheng, E. Hüllermeier, Bioinformatics 29 (2013) 1946–1952.
LibreCat
 
[426]
2013 | Journal Article | LibreCat-ID: 16081
Chest pain in primary care: is the localization of pain diagnostically helpful in the critical evaluation of patients? A cross sectional study.
S. Bösner, K. Bönisch, J. Haasenritter , P. Schlegel, E. Hüllermeier, N. Donner-Banzhoff, BMC Family Practice 14 (2013) 154–162.
LibreCat
 
[425]
2013 | Journal Article | LibreCat-ID: 16086
Diagnose im Kontext - eine erweiterte Perspektive
J. Haasenritter, A. Viniol, A. Becker, S. Bösner, E. Hüllermeier, R. Senge, N. Donner-Banzhoff, Zeitschrift Für Evidenz, Fortbildung Und Qualität Im Gesundheitswesen (ZEFQ) 107 (2013) 585–591.
LibreCat
 
[424]
2013 | Journal Article | LibreCat-ID: 16123
Evolving fuzzy pattern trees for binary classification on data streams
A. Shaker, R. Senge, E. Hüllermeier, Information Sciences 220 (2013) 34–45.
LibreCat
 
[423]
2013 | Conference Paper | LibreCat-ID: 13115
Learning to rank lexical substitutions
G. Szarvas, R. Busa-Fekete, E. Hüllermeier, in: In Proceedings EMNLP-2013 Conference on Empirical Methods in Natural Language Processing, Seattle, USA, 2013.
LibreCat
 
[422]
2013 | Conference Paper | LibreCat-ID: 13116
Optimizing the F-measure in multi-label classification: Plug-in rule approach versus structured loss minimization
K. Dembczynski, A. Jachnik, W. Kotlowski, W. Waegeman, E. Hüllermeier, in: S. Dasgupta, D. McAllester (Eds.), In Proceedings ICML-2013, 30th International Conference on Machine Learning, Atlanta, USA, 2013, pp. 1130–1138.
LibreCat
 
[421]
2013 | Conference Paper | LibreCat-ID: 13117
Top-k selection based on adaptive sampling of noisy preferences
R. Busa-Fekete, B. Szoreny, P. Weng, W. Cheng, E. Hüllermeier, in: S. Dasgupta, D. McAllester (Eds.), In Proceedings ICML-2013, 30th International Conference on Machine Learning, Atlanta, USA, 2013, pp. 1094–1102.
LibreCat
 
[420]
2013 | Conference Paper | LibreCat-ID: 13118
Preference-based CBR: General ideas and basic principles
E. Hüllermeier, W. Cheng, in: F. Rossi (Ed.), In Proceedings IJCAI-13, 23rd International Joint Conference on Artificial Intelligence, Beijing, China, AAAI Press, 2013, pp. 3012–3016.
LibreCat
 
[419]
2013 | Conference Paper | LibreCat-ID: 13119
Rule chains for visualizing evolving fuzzy rule-based systems
S. Henzgen, M. Strickert, E. Hüllermeier, in: R. Burduk, K. Jackowski, M. Kurzynski, M. Wozniak, A. Zolnierek (Eds.), In Proceedings CORES 2013, 8th International Conference on Computer Recognition Systems, Wroclaw, Poland, Springer, 2013, pp. 279–288.
LibreCat
 
[418]
2013 | Conference Paper | LibreCat-ID: 13190
Recovery analysis for adaptive learning from non-stationary data streams
A. Shaker, E. Hüllermeier, in: R. Burduk, K. Jackowski, M. Kurzynski, W. Wozniak, A. Zolnierek (Eds.), In Proceedings CORES 2013, 8th International Conference on Computer Recognition Systems, Wroclaw, Poland, Springer, 2013, pp. 289–298.
LibreCat
 
[417]
2012 | Conference Paper | LibreCat-ID: 15299
GPU-based cloud computing for comparing the structure of protein binding sites
M. Leinweber, L. Baumgärtner, M. Mernberger, T. Fober, E. Hüllermeier, G. Klebe, B. Freisleben, in: In Proceedings IEEE Conference on Digital Ecosystem Technologies-Complex Environment Engineering Campione D`Italia, Italy, 2012.
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[416]
2012 | Book Chapter | LibreCat-ID: 15396
Efficient learning of classifiers based on the 2-additive Choquet integral
E. Hüllermeier, A. Fallah Tehrani, in: C. Moewes, A. Nürnberger (Eds.), Computational Intelligence in Intelligent Data Analysis, Springer, 2012, pp. 17–30.
LibreCat
 
[415]
2012 | Conference Paper | LibreCat-ID: 15754
Learning conditional lexicographic preference trees
M. Bräuning, E. Hüllermeier, in: In Workshops on Preference Learning at ECAI, European Conference on Artiticial Intelligence, Montpellier, France, 2012.
LibreCat
 
[414]
2012 | Conference Paper | LibreCat-ID: 15114
On the VC dimension of the Choquet integral
E. Hüllermeier, A. Fallah Tehrani, in: In Proceedings IPMU-2012 14th International Conference on Information Processing and Management  of Uncertainty in Knowledge-Based Systems, Part 1, Catania, Italy, 2012.
LibreCat
 
[413]
2012 | Journal Article | LibreCat-ID: 16084
Learning monotone nonlinear models using the Choquet integral
A. Fallah Tehrani, W. Cheng, K. Dembczynski, E. Hüllermeier, Machine Learning 89 (2012) 183–211.
LibreCat
 
[412]
2012 | Journal Article | LibreCat-ID: 16085
Grouping, overlap and generalized bientropic functions for fuzzy modeling of pairwise comparisons
H. Bustince, M. Pagola, R. Mesiar, E. Hüllermeier, F. Herrera, IEEE Transactions on Fuzzy Systems 20 (2012) 405–415.
LibreCat
 
[411]
2012 | Journal Article | LibreCat-ID: 16087
Preference-based reinforcement learning: A formal framework and a policy iteration algorithm
J. Fürnkranz, E. Hüllermeier, W. Cheng, S.H. Park, Machine Learning 89 (2012) 123–156.
LibreCat
 
[410]
2012 | Journal Article | LibreCat-ID: 16088
On label dependence and loss minimization in multi-label classification
K. Dembczynski, W. Waegeman, W. Cheng, E. Hüllermeier, Machine Learning 88 (2012) 5–45.
LibreCat
 
[409]
2012 | Journal Article | LibreCat-ID: 16089
IBL Streams: A system for instance-based classification and regression on data streams
A. Shaker, E. Hüllermeier, Evolving Systems 3 (2012) 235–249.
LibreCat
 
[408]
2012 | Journal Article | LibreCat-ID: 16090
A formal and empirical analysis of the fuzzy gamma rank correlation coefficient
M. Dolorez Ruiz, E. Hüllermeier, Information Sciences 206 (2012) 1–17.
LibreCat
 
[407]
2012 | Journal Article | LibreCat-ID: 16091
Preference learning using the Choquet integral: The case of multipartite ranking
A. Fallah Tehrani, W. Cheng, E. Hüllermeier, IEEE Transactions on Fuzzy Systems 20 (2012) 1102–1113.
LibreCat
 
[406]
2012 | Journal Article | LibreCat-ID: 16092
Fingerprint kernels for protein structure comparison
T. Fober, M. Mernberger, G. Klebe, E. Hüllermeier, Molecular Informatics 31 (2012) 443–452.
LibreCat
 
[405]
2012 | Journal Article | LibreCat-ID: 16093
Comparing fuzzy partitions: A generalization of the Rand index and related measures
E. Hüllermeier, M. Rifqi, S. Henzgen, R. Senge, IEEE Transactions on Fuzzy Systems 20 (2012) 546–556.
LibreCat
 
[404]
2012 | Journal Article | LibreCat-ID: 16094
Fuzzy Pattern Trees: Ein alternativer Ansatz zur Fuzzy-Modellierung
R. Senge, T. Fober, N. Nasiri, E. Hüllermeier, At-Atomatisierungstechnik 60 (2012) 622–629.
LibreCat
 
[403]
2012 | Conference Paper | LibreCat-ID: 13120
Label ranking with partial abstention based on thresholded probalistic models
W. Cheng, E. Hüllermeier, W. Waegeman, V. Welker, in: In Proceedings NIPS-2012, 26th Annual Conference on Neural Information Processing Systems, Lake Tahoe, Nevada, USA, 2012.
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[402]
2012 | Conference Paper | LibreCat-ID: 13191
Probability estimation for mulit-class classification based on label ranking
W. Cheng, E. Hüllermeier, in: Proceedings ECML/PKDD-2012, European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, Bristol, UK, 2012.
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[401]
2012 | Conference Paper | LibreCat-ID: 13192
Consistent multilabel ranking through univariate loss minimization
K. Dembczynski, W. Kotlowski, E. Hüllermeier, in: J. Langford, J. Pineau (Eds.), In Proceedings ICML-2012,  International Conference on Machine Learning, Edinburgh, Scotland, 2012.
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[400]
2012 | Conference Paper | LibreCat-ID: 13193
An analysis of chaining in multi-label classification
K. Dembczynski, W. Waegeman, E. Hüllermeier, in: In Proceedings ECAI-2012, 20th European Conference on Artificial Inteligence, Montpellier, France , IOS Press, 2012, pp. 294–299.
LibreCat
 
[399]
2012 | Book Chapter | LibreCat-ID: 10153
Fuzzy rules in data mining: From fuzzy associations to gradual dependencies
E. Hüllermeier, in: E. Trillas, P.P. Bonissone, L. Magdalena, J. Kacprzyk (Eds.), Combining Experimentation and Theory, Springer, 2012, pp. 123–135.
LibreCat
 
[398]
2011 | Conference Paper | LibreCat-ID: 15762
Joint mode estimation in multi-label classification by chaining
K. Dembczynski, W. Waegeman, E. Hüllermeier, in: In Proceedings ECML Workshop on Collective Inference and Learning on Structured Data, Athens, Greece, 2011.
LibreCat
 
[397]
2011 | Conference Paper | LibreCat-ID: 15764
Prediction of protein localization for specialized compartments using time series kernels
M. Mernberger, D. Moog, S. Stork, S. Zauner, U. Maier, E. Hüllermeier, in: In Proceedings GCB-2011 German Conference on Bioinformatics Munich, Germany, 2011.
LibreCat
 
[396]
2011 | Conference Paper | LibreCat-ID: 15115
Comparing methods for knowledge-driven and data-driven fuzzy modeling: A case study in textile industry
M. Nasiri, E. Hüllermeier, R. Senge, E. Lughofer, in: In Proceedings IFSA-2011 World Congress of the International Fuzzy Systems Association, Surabaya and Bali Island, Indonesia, 2011, p. RW-103-1-6.
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[395]
2011 | Conference Paper | LibreCat-ID: 15116
On-line redundancy deletion in evolving fuzzy regression models using a fuzzy inclusion measure
E. Lughofer, E. Hüllermeier, in: S. Galichet, J. Montero, G. Mauris (Eds.), In Proceedings EUSFLAT-2011 7th International Conference on the European Society for Fuzzy Logic and Technology, Aix-Les-Bains, France, 2011, pp. 380–387.
LibreCat
 
[394]
2011 | Conference Paper | LibreCat-ID: 15117
Choquistic regression: Generalizing logistic regression using the Choquet integral
A. Fallah Tehrani, W. Cheng, E. Hüllermeier, in: In Proceedings EUSFLAT-2011 7th International Conference on the European Society for Fuzzy Logic and Technology, Aix-Les-Bains, France, 2011, pp. 868–875.
LibreCat
 
[393]
2011 | Journal Article | LibreCat-ID: 16119
Multivariate modeling to identify patterns in clinical data: The example of chest pain
O. Hirsch, S. Bösner, E. Hüllermeier, R. Senge, K. Dembczynski, N. Donner-Banzhoff, BMC Medical Research Methodology 11 (2011).
LibreCat
 
[392]
2011 | Journal Article | LibreCat-ID: 16126
Preferences in AL: An overview
C. Domshlak, E. Hüllermeier, S. Kaci, H. Prade, Artificial Intelligence 175 (2011) 1037–1052.
LibreCat
 
[391]
2011 | Journal Article | LibreCat-ID: 16147
Fuzzy machine learning and data mining
E. Hüllermeier, WIREs Data Mining and Knowledge Discovery 1 (2011) 269–283.
LibreCat
 
[390]
2011 | Journal Article | LibreCat-ID: 16148
SEGA: Semi-global graph alignment for structure-based protein comparison
M. Mernberger, G. Klebe, E. Hüllermeier, IEEE/ACM Transactions of Computational Biology and Bioinformatics 8 (2011) 1330–1343.
LibreCat
 
[389]
2011 | Journal Article | LibreCat-ID: 16149
Superposition and alignment of labeled point clouds
T. Fober, S. Glinca, G. Klebe, E. Hüllermeier, IEEE/ACM Transactions on Computational Biology and Bioinformatics 8 (2011) 1653–1666.
LibreCat
 
[388]
2011 | Journal Article | LibreCat-ID: 16150
Fuzzy sets in machine learning and data mining
E. Hüllermeier, Applied Soft Computing Journal (2011) 1493–1505.
LibreCat
 
[387]
2011 | Journal Article | LibreCat-ID: 16153
Top-down induction of fuzzy pattern trees
R. Senge, E. Hüllermeier, IEEE Transactions on Fuzzy Systems 19 (2011) 241–252.
LibreCat
 
[386]
2011 | Conference Paper | LibreCat-ID: 13194
An exact algorithm for F-measure maximization
K. Dembczynski, W. Waegeman, W. Cheng, E. Hüllermeier, in: In Proceedings NIPS-2011, 25th Annual Conference on Neural Information Processing Systems, Granada, Spain, 2011.
LibreCat
 
[385]
2011 | Conference Paper | LibreCat-ID: 13195
Preference-based policy iteration: Leveraging preference learning for reinforcement learning
W. Cheng, J. Fuernkranz, E. Hüllermeier, S.H. Park, in: Proceedings ECML/PKDD-2011, European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, Athens, Greece, , 2011.
LibreCat
 
[384]
2011 | Conference Paper | LibreCat-ID: 13196
Learning from label preferences
J. Fürnkranz, E. Hüllermeier, in: T. Elomaa, J. Hollmen, H. Mannila (Eds.), In Proceedings DS-2011, 14th International  Conference on Discovery Science, Number 6926 in LNAI, Springer, 2011, pp. 2–17.
LibreCat
 
[383]
2011 | Conference Paper | LibreCat-ID: 13197
Learning monotone nonlinear models using the Choquet integral
A. Fallah Tehrani, W. Cheng, K. Dembczynski, E. Hüllermeier, in: In Proceedings ECML/PKDD-2011, European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, Athens, Greece, 2011.
LibreCat
 
[382]
2011 | Conference Paper | LibreCat-ID: 13198
Preference-based CBR: First steps toward a methodological framework
E. Hüllermeier, P. Schlegel, in: A. Ram, N. Wiratunga (Eds.), In Proceedings ICCBR-2011, 19th International Conference on Case-Based Reasoning, Number 6880 in LNAI, Springer, 2011, pp. 77–91.
LibreCat
 
[381]
2011 | Conference Paper | LibreCat-ID: 13588
Bipartite ranking through minimization of univariate loss
W. Kotlowski, K. Dembczynski, E. Hüllermeier, in: In Proceedings ICML-2011, 28th International Conference on Machine Learning, Washington, USA, 2011.
LibreCat
 
[380]
2010 | Book Chapter | LibreCat-ID: 15297
An Analysis of the FURIA algorithm for fuzzy rule induction
E. Hüllermeier, J. Hühn, in: J. Koronacki, Z.W. Ras, S.T. Wierzchon, J. Kacprzyk (Eds.), Advances in Machine Learning I: Dedicated to the Memory of Professor Ryszard S.Michalski, Springer, 2010, pp. 321–344.
LibreCat
 
[379]
2010 | Book Chapter | LibreCat-ID: 15298
Preference Learning: An Introduction
J. Fürnkranz, E. Hüllermeier, in: J. Fürnkranz, E. Hüllermeier (Eds.), Preference Learning, Springer, 2010, pp. 1–18.
LibreCat
 
[378]
2010 | Conference Paper | LibreCat-ID: 15765
Efficient similarity retrieval for protein binding sites based on histogram comparison
T. Fober, M. Mernberger, G. Klebe, E. Hüllermeier, in: In Proceedings GCB-2010 German Conference on Bioinformatics Braunschweig, Germany, 2010, pp. 51–60.
LibreCat
 
[377]
2010 | Conference Paper | LibreCat-ID: 15772
On label dependence in multi-label classification
K. Dembczynski, W. Waegeman, W. Cheng, E. Hüllermeier, in: In Proceedings MLD-2010, 2nd International Workshop on Learning from Multi-Label Data, Haifa, Israel, 2010.
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[376]
2010 | Conference Paper | LibreCat-ID: 15118
Similarity measures for protein structures based on fuzzy histogram comparison
T. Fober, E. Hüllermeier, in: In Proceedings WCCI-2010, World Congress on Computational Intelligence, Barcelona, Spain, 2010.
LibreCat
 
[375]
2010 | Conference Paper | LibreCat-ID: 15119
Pattern trees for regression and fuzzy systems modeling
R. Senge, E. Hüllermeier, in: In Proceedings WCCI-2010, World Congress on Computational Intelligence, Barcelona, Spain, 2010.
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[374]
2010 | Journal Article | LibreCat-ID: 16121
GARLig: A fully automated tool for subset selection of large fragment spaces via a self-adaptive genetic algorithm
P. Pfeffer, T. Fober, E. Hüllermeier, G. Klebe, Journal of Chemical Information and Modeling 50 (2010) 1644–1659.
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[373]
2010 | Journal Article | LibreCat-ID: 16151 LibreCat
 
[372]
2010 | Journal Article | LibreCat-ID: 16152
On predictive accuracy and risk minimization in pairwise label ranking
E. Hüllermeier, J. Fürnkranz, Journal of Computer and System Sciences 76 (2010) 49–62.
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[371]
2010 | Conference Paper | LibreCat-ID: 13589
Bayes optimal multilabel classification via probalistic classifier chains
K. Dembczynski, W. Cheng, E. Hüllermeier, in: J. Fürnkranz, T. Joachims (Eds.), In Proceedings ICML-2010, 27th International Conference on Machine Learning, Haifa, Israel, 2010, pp. 279–286.
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[370]
2010 | Conference Paper | LibreCat-ID: 13590
Label ranking based on the Plackett-Luce model
W. Cheng, K. Dembczynski, E. Hüllermeier, in: J. Fürnkranz, T. Joachims (Eds.), In Proceedings ICML-2010, 27th International Conference on Machine Learning, Haifa, Israel, 2010, pp. 215–222.
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[369]
2010 | Conference Paper | LibreCat-ID: 13591
Graded multi-label classification: The ordinal case
W. Cheng, K. Dembczynski, E. Hüllermeier, in: J. Fürnkranz, T. Joachims (Eds.), In Proceedings ICML-2010, 27th International Conference on Machine Learning, Haifa, Israel, 2010.
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[368]
2010 | Conference Paper | LibreCat-ID: 13593
Regret analysis for performance metrics in multi-label classification: The case of Hamming and subset zero-one loss
K. Dembczynski, W. Waegeman, W. Cheng, E. Hüllermeier, in: In Proceedings ECML/PKDD-2010, European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, ,Bareclona, Spain, 2010.
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[367]
2010 | Conference Paper | LibreCat-ID: 13594
Predicting partial orders: Ranking with abstention
W. Cheng, M. Rademaker, B. De Beats, E. Hüllermeier, in: In Proceedings ECML/PKDD-2010, European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, ,Bareclona, Spain, 2010.
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[366]
2010 | Conference Paper | LibreCat-ID: 13597
Uncertainty in clustering and classification
E. Hüllermeier, in: In Proceedings SUM 2010, International Conference on Scalable Uncertainty Management , Springer, 2010, pp. 16–19.
LibreCat
 
[365]
2009 | Conference Paper | LibreCat-ID: 15773
A simple instance-based approach to multilabel classification using the Mallows model
W. Cheng, E. Hüllermeier, in: In Proceedings MLD-2009 1st  International Workshop on Learning from Multi-Label Data, Bled, Slovenia, 2009, pp. 28–38.
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[364]
2009 | Conference Paper | LibreCat-ID: 15774
Learning pattern tree classifiers using a co-evolutionary algorithm
R. Senge, E. Hüllermeier, in: F. Hoffmann, E. Hüllermeier (Eds.), In Proceedings 19th Workshop Computational Intelligence, Dortmund Germany, KIT Scientific Publishing, 2009, pp. 22–33.
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[363]
2009 | Conference Paper | LibreCat-ID: 15775
Graph-kernels for the comparative analysis of protein active sites
T. Fober, M. Mernberger, R. Moritz, E. Hüllermeier, in: I. Grosse, S. Neumann, S. Posch, F. Schreiber, P.. Stadler (Eds.), In Proceedings GCB-2009 German Conference on Bioinformatics Halle (Saale), Germany, 2009, pp. 21–31.
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[362]
2009 | Conference Paper | LibreCat-ID: 15776
Learning pattern tree classifiers using a co-evolutionary algorithm
R. Senge, E. Hüllermeier, in: In Proceedings Workshop LWA-2009, Lernen-Wissensentdeckung-Adaptivität, Darmstadt, Germany, 2009, pp. 105–110.
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[361]
2009 | Conference Paper | LibreCat-ID: 15778
Extension and empirical comparison of graph-kernels for the analysis of protein active sites
T. Fober, M. Mernberger, V. Melnikov, R. Moritz, E. Hüllermeier, in: In Proceedings Workshop LWA-2009, Lernen-Wissensentdeckung-Adaptivität, Darmstadt, Germany, 2009, pp. 30–36.
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[360]
2009 | Conference Paper | LibreCat-ID: 15120
Efficient construction of multiple geometrical alignments for the comparison of protein binding sites
T. Fober, G. Klebe, E. Hüllermeier, in: In Proceedings ISDA-2009, 9th International Conference on Intelligent Systems Design and Applications, Pisa, Italy, 2009, pp. 1251–1256.
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[359]
2009 | Conference Paper | LibreCat-ID: 15194
Similarity analysis of protein binding sites: A generalization of the maximum common subgraph measure based on quasi-clique detection
I. Boukhris, Z. Elouedi, T. Fober, M. Mernberger, E. Hüllermeier, in: In Proceedings IDA-2009, 9th International Symposium on Intelligent Data Analysis, Pisa / Italy, 2009, pp. 1245–1250.
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[358]
2009 | Conference Paper | LibreCat-ID: 15195
Fuzzy modeling of labeled point cloud superposition for the comparison of protein binding sites
T. Fober, E. Hüllermeier, in: In Proceedings IFSA / EUSFLAT-2009 World Congress of  the Fuzzy Systems Association, Lissabon, Portugal, 2009, pp. 1299–1304.
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[357]
2009 | Conference Paper | LibreCat-ID: 15196
A fuzzy variant of the Rand index for comparing clustering structures
E. Hüllermeier, M. Rifqi, in: In Proceedings IFSA / EUSFLAT-2009 World Congress of  the Fuzzy Systems Association, Lissabon, Portugal, 2009, pp. 1294–1298.
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[356]
2009 | Journal Article | LibreCat-ID: 16154
Merging chemical and biological space: Structural mapping of enzyme binding pocket space
N. Weskamp, E. Hüllermeier, G. Klebe, Proteins 76 (2009) 317–330.
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[355]
2009 | Journal Article | LibreCat-ID: 16158
FURIA: An Algorithm for unordered fuzzy rule induction
J. Hühn, E. Hüllermeier, Data Mining and Knowledge Discovery 19 (2009) 293–319.
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[354]
2009 | Journal Article | LibreCat-ID: 16159
Why fuzzy decision trees are good rankers
E. Hüllermeier, S. Vanderlooy, IEEE Transactions on Fuzzy Systems 17 (2009) 1233–1244.
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[353]
2009 | Journal Article | LibreCat-ID: 16160
Combining instance-based learning and logistic regression for multilabel classification
W. Cheng, E. Hüllermeier, Machine Learning 76 (2009) 211–225.
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[352]
2009 | Journal Article | LibreCat-ID: 16161
Fuzzy operator trees for modeling rating functions
Y. Yi, T. Fober, E. Hüllermeier, International Journal of Computational Intelligence and Applications 8 (2009) 413–428.
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[351]
2009 | Journal Article | LibreCat-ID: 16162
Evolutionary construction of multiple graph alignments for the structural analysis of biomolecules
T. Fober, M. Mernberger, G. Klebe, E. Hüllermeier, Bioinformatics 25 (2009) 2110–2117.
LibreCat
 
[350]
2009 | Journal Article | LibreCat-ID: 16163
FR3: A fuzzy rule learner for inducing reliable classifiers
J. Hühn, E. Hüllermeier, IEEE Transactions on Fuzzy Systems 17 (2009) 138–149.
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[349]
2009 | Journal Article | LibreCat-ID: 16165
Supporting case-based retrieval by similarity skylines: Basic concepts and extensions
E. Hüllermeier, I. Vladimirskiy, B. Prados Suarez, E. Stauch, Künstliche Intelligenz 1 (2009) 24–29.
LibreCat
 
[348]
2009 | Book Chapter | LibreCat-ID: 10188
On the usefulness of fuzzy sets in data mining
E. Hüllermeier, in: R. Seising (Ed.), Views on Fuzzy Sets and Systems from Different Perspectives: Philosophy and Logic, Criticisms and Applications, Springer, 2009, pp. 457–470.
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[347]
2009 | Conference Paper | LibreCat-ID: 13595
Decision tree and instance-based learning for label ranking
W. Cheng, J. Hühn, E. Hüllermeier, in: In Proceedings ICML-2009, 26th International Conference on Machine Learning, Montreal, Canada, 2009, pp. 161–168.
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[346]
2009 | Conference Paper | LibreCat-ID: 13596
Binary decomposition methods for multipartite ranking
J. Fürnkranz, E. Hüllermeier, S. Vanderlooy, in: In Proceedings ECML/PKDD-2009, European Conference on Machine Learning and Principles and Knowledge Discovery in Databases, Bled Sloveniaery in Databases, Bled, Slovenia, 2009.
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[345]
2009 | Conference Paper | LibreCat-ID: 13598
A new instance-based label ranking approach using the Mallows model. In Advances in Neural Networks
W. Cheng, E. Hüllermeier, in: In Proceedings 6th International Symposium on Neural Networks, Wuhan, China, Springer, 2009, pp. 707–716.
LibreCat
 
[344]
2008 | Conference Paper | LibreCat-ID: 15779
Weighted voting as approximate MAP prediction in pairwise classification
E. Hüllermeier, S. Vanderlooy, in: In Proceedings Workshop LWA-2008, Lernen-Wissensentdeckung-Adaptivität, Würzburg, Germany, 2008, pp. 34–41.
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[343]
2008 | Conference Paper | LibreCat-ID: 15780
Evolutionary construction of multiple graph alignments for mining structured biomolecular data
T. Fober, E. Hüllermeier, M. Mernberger, in: In Proceedings Workshop LWA-2008, Lernen-Wissensentdeckung-Adaptivität, Würzburg, Germany, 2008, pp. 27–33.
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[342]
2008 | Conference Paper | LibreCat-ID: 15781
Evolutionary construction of multiple graph alignments for the structural analysis of biomolecules
T. Fober, E. Hüllermeier, M. Mernberger, in: A. Beyer, M. Schroeder (Eds.), IIn Proceedings GCB-2008, Germany Conference on Bioinformatics, Dresden 2008, 2008, pp. 44–53.
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[341]
2008 | Journal Article | LibreCat-ID: 16164
Is an ordinal class structure useful in classifier learning?
J. Hühn, E. Hüllermeier, International Journal of Data Mining, Modeling and Management 1 (2008) 45–67.
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[340]
2008 | Journal Article | LibreCat-ID: 16166
Label ranking by learning pairwise preferences
E. Hüllermeier, J. Fürnkranz, W. Cheng, K. Brinker, Artificial Intelligence 172 (2008) 1897–1917.
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[339]
2008 | Journal Article | LibreCat-ID: 16167
A critical analysis of variants of the AUC
S. Vanderlooy, E. Hüllermeier, Machine Learning 72 (2008) 247–272.
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[338]
2008 | Journal Article | LibreCat-ID: 16168
Multilabel classification via calibrated label ranking
J. Fürnkranz, E. Hüllermeier, E. Mencia, K. Brinker, Machine Learning 73 (2008) 133–153.
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[337]
2008 | Journal Article | LibreCat-ID: 16169
Learning valued preference structures for solving classification problems
E. Hüllermeier, K. Brinker, Fuzzy Sets and Systems 159 (2008) 2337–2352.
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[336]
2008 | Journal Article | LibreCat-ID: 16184
Case-based learning in a bipolar possibilistic framework
J. Beringer, E. Hüllermeier, International Journal of Intelligent Systems 23 (2008) 1119–1134.
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[335]
2008 | Book Chapter | LibreCat-ID: 16225
Granular computing in machine learning and data mining
E. Hüllermeier, in: W. Pedrycz, A. Skowron, V. Kreinovich (Eds.), Handbook on Granular Computing, John Wiley and Sons, 2008, pp. 889–906.
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[334]
2008 | Book Chapter | LibreCat-ID: 10154
Fuzzy methods in data mining
E. Hüllermeier, in: Encyclopedia of Data Warehousing and Mining - Second Edition, Idea Group, Inc.,Hershey, USA, 2008, pp. 907–912.
LibreCat
 
[333]
2008 | Book Chapter | LibreCat-ID: 10185
Learning preference models from data: On the problem of label ranking and its variants
E. Hüllermeier, J. Fürnkranz, in: G. Della Riccia, D. Dubois, R. Kruse, H.J. Lenz (Eds.), Preferences and Similarities, Springer, 2008, pp. 283–304.
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[332]
2008 | Conference Paper | LibreCat-ID: 13599
Supporting case-based retrieval by similarity skylines: Basic concepts and extensions
E. Hüllermeier, I. Vladimirskiy, B. Prados Suarez, E. Stauch, in: K.D. Althoff, R. Bergmann, M. Minor, A. Hanft (Eds.), In Proceedings ECCBR-2008 9th European Conference on Case-Based  Reasoning, Trier, Germany, 2008, pp. 240–254.
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[331]
2008 | Conference Paper | LibreCat-ID: 13600
Learning similarity functions from qualitative feedback
W. Cheng, E. Hüllermeier, in: K.D. Althoff, R. Bergmann, M. Minor, A. Hanft (Eds.), In Proceedings ECCBR-2008 9th European Conference on Case-Based  Reasoning, Trier, Germany, Springer, 2008, pp. 120–134.
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[330]
2007 | Conference Paper | LibreCat-ID: 15782
Interactive ranking of skylines using machine learning techniques
W. Cheng, E. Hüllermeier, B. Seeger, I. Vladimirskiy, in: In Proceedings Workshop LWA-2007, Lernen-Wissensentdeckung-Adaptivität, Halle/Saale, Germany, 2007, pp. 141–148.
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[329]
2007 | Conference Paper | LibreCat-ID: 15783
Evolutionary construction of multiple graph alignments for the structural analysis of biomolecules
T. Fober, E. Hüllermeier, M. Mernberger, in: R. Mikut, M. Reischl (Eds.), In Proceedings 17th Workshop Computational Intelligence, Dortmund Germany, 2007, pp. 1–14.
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[328]
2007 | Conference Paper | LibreCat-ID: 15784
Similarity search over uncertain archaeological data using a modified skyline operator
I. Vladimirskiy, E. Hüllermeier, E. Stauch, in: D.C. Wilson, D. Khemani (Eds.), In Workshop Proceedings from ICCBR-2007 7th International Conference on Case-Based Reasoning, Belfast, Northern Ireland, 2007, pp. 31–40.
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[327]
2007 | Conference Paper | LibreCat-ID: 14832
On minimizing the position error in label ranking
E. Hüllermeier, J. Fürnkranz, in: In Proceedings ECML-2007, 17th European Conference on Machine Learning, Warsawa, Poland, September 2007, Springer, 2007.
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[326]
2007 | Conference Paper | LibreCat-ID: 14833
Label ranking in case-based reasoning
K. Brinker, E. Hüllermeier, in: M. Richter, R. Weber (Eds.), In Proceedings ICCBR-2007, 7th International Conference on Case-Based Reasoning, Belfast, Northern Ireland, Springer, 2007, pp. 77–91.
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[325]
2007 | Conference Paper | LibreCat-ID: 14834
Efficient instance-based learning on data streams
J. Beringer, E. Hüllermeier, in: P. Perner (Ed.), In Proceedings ICDM-2007, International Conference on Industrial Data Mining, Leipzig, Springer, 2007, pp. 34–48.
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[324]
2007 | Conference Paper | LibreCat-ID: 14835
Case-based multilabel ranking
K. Brinker, E. Hüllermeier, in: In Proceedings IJCAI-07, 20th International Joint Conference on Artificial Intelligence, Hyerabad, India, January 2007, 2007, pp. 701–707.
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[323]
2007 | Conference Paper | LibreCat-ID: 15197
Fuzzy-relational classificaton : Combining pairwise decomposition techniques with fuzzy preference modeling
E. Hüllermeier, K. Brinker, in: In Proceedings EUSFLAT-2007 5th International Conference on the European Society for Fuzzy Logic and Technology, Ostrava, Czech Republic, 2007, pp. 353–360.
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[322]
2007 | Conference Paper | LibreCat-ID: 15198
Adaptive optimization of the number of clusters in fuzzy clustering, London 2007
J. Beringer, E. Hüllermeier, in: In Proceedings FUZZ-IEEE-07, IEEE International Conference on Fuzzy Systems, 2007.
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[321]
2007 | Conference Paper | LibreCat-ID: 15199
Graph alignment: Fuzzy pattern mining for the structural analysis of protein active sites
E. Hüllermeier, N. Weskamp, G. Klebe, D. Kuhn, in: In Proceedings FUZZ-IEEE-07, IEEE International Conference on Fuzzy Systems, London, 2007.
LibreCat
 
[320]
2007 | Journal Article | LibreCat-ID: 16170
In defense of fuzzy association analysis
E. Hüllermeier, Y. Yi, IEEE Transactions on Systems, Man and Cybernetics-Part B: Cybernetics 37 (2007) 1039–1043.
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[319]
2007 | Journal Article | LibreCat-ID: 16171
Credible case-based inference using similarity profiles
E. Hüllermeier, IEEE Transactions on Knowledge and Data Engineering 19 (2007) 847–858.
LibreCat
 
[318]
2007 | Journal Article | LibreCat-ID: 16172
Efficient instance-based learning on data streams
J. Beringer, E. Hüllermeier, Intelligent Data Analysis 11 (2007) 627–650.
LibreCat
 
[317]
2007 | Journal Article | LibreCat-ID: 16175
Comparing probability measures using possibility theory: A notion of relative peakedness
D. Dubois, E. Hüllermeier, International Journal of Approximate Reasoning 45 (2007) 364–385.
LibreCat
 
[316]
2007 | Journal Article | LibreCat-ID: 16179
Multiple graph aligment for the structural analysis of protein active sites
N. Weskamp, E. Hüllermeier, D. Kuhn, G. Klebe, IEEE/ACM Transactions of Computational Biology and Bioinformatics 4 (2007) 310–320.
LibreCat
 
[315]
2007 | Journal Article | LibreCat-ID: 16194
Risk assessment for natural hazards: A new approach based on fuzzy probability
I. Karimi, E. Hüllermeier, Fuzzy Sets and Systems 158 (2007) 987–999.
LibreCat
 
[314]
2007 | Book Chapter | LibreCat-ID: 16224
Why fuzzy set theory is useful in data mining
E. Hüllermeier, in: F. Masseglia, P. Poncelet, M. Teisseire (Eds.), Successes and New Directions in Data Mining, Information Science Reference, Hershey, New York, 2007, pp. 1–16.
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[313]
2007 | Book Chapter | LibreCat-ID: 16226
Fuzzy clustering of parallel data streams
J. Beringer, E. Hüllermeier, in: J. Valente de Oliveira, W. Pedrycz (Eds.), Advances in Fuzzy Clustering and Its Applications , John Wiley and Sons, 2007, pp. 333–352.
LibreCat
 
[312]
2007 | Book Chapter | LibreCat-ID: 16227
Fuzzy methods for data mining and machine learning: State of the art and prospects
E. Hüllermeier, in: Fuzzy Sets and Their Extensions: Representation, Aggregation and Models, Springer, 2007, pp. 355–374.
LibreCat
 
[311]
2007 | Book | LibreCat-ID: 16282
Case-based Approximate Reasoning
E. Hüllermeier, Case-Based Approximate Reasoning, Springer, 2007.
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[310]
2007 | Conference Paper | LibreCat-ID: 13601
On pairwise Naive Bayes classifiers
J.N. Sulzmann, J. Fürnkranz, E. Hüllermeier, in: In Proceedings ECML-2007, 17th European Conference on Machine Learning, Warsawa, Poland, Springer, 2007.
LibreCat
 
[309]
2006 | Conference Paper | LibreCat-ID: 15785
Adaptive optimization of the number of clusters in fuzzy clustering, Dortmund, Germany 2006
J. Beringer, E. Hüllermeier, in: R. Mikut, M. Reischl (Eds.), In Proceedings 16th Workshop Computational Intelligence, Dortmund Germany, 2006, pp. 140–149.
LibreCat
 
[308]
2006 | Conference Paper | LibreCat-ID: 15786
Classification via fuzzy preference learning
E. Hüllermeier, K. Brinker, in: R. Mikut, M. Reischl (Eds.), In Proceedings 16th Workshop Computational Intelligence, Dortmund Germany, 2006, pp. 190–199.
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[307]
2006 | Conference Paper | LibreCat-ID: 15798
Credible case-based inference using similarity profiles
E. Hüllermeier, in: M. Minor (Ed.), In Proceedings of ECCBR-2006 Workshops, 8th European Conference on Case-Based Reasoning, Ölüdeniz/Fethiye Turkey, 2006, pp. 230–242.
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[306]
2006 | Conference Paper | LibreCat-ID: 14836
Hierarchical classification by expected utility maximization
K. Bade, E. Hüllermeier, A. Nürnberger, in: In Proceedings ICDM-2006, IEEE International Conference on Data Mining, IEEE Computer Society Press, 2006, pp. 43–52.
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[305]
2006 | Conference Paper | LibreCat-ID: 14837
Case-based label ranking
K. Brinker, E. Hüllermeier, in: In Proceedings ECML-2006, 17th European Conference on Machine Learning, Berlin September 2006, Springer, 2006, pp. 566–573.
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[304]
2006 | Conference Paper | LibreCat-ID: 14838
A unified model for multilabel classification and ranking
K. Brinker, J. Fuernkranz, E. Hüllermeier, in: G. Brewka, S. Coradeschi, A. Perini, P. Traverso (Eds.), In Proceedings ECAI-2006, 17th European Conference on Artificial Inteligence, Riva Del Garda, Italy, 2006, pp. 489–493.
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[303]
2006 | Conference Paper | LibreCat-ID: 15201
Integrating instance-based learning and logistic regression
E. Hüllermeier, in: In Proceedings IPMU-2006 11th International Conference on Information Processing and Management  of Uncertainty in Knowledge-Based Systems, Paris, France, 2006.
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[302]
2006 | Conference Paper | LibreCat-ID: 15213
The Choquet integral as an aggregation operator in case-based learning
E. Hüllermeier, in: B. Reusch (Ed.), In Proceeding of the International Conference on Computational Intelligence, 9th Fuzzy Days, Dortmund, Springer, 2006, pp. 615–628.
LibreCat
 
[301]
2006 | Journal Article | LibreCat-ID: 16173
A systematic approach to the assessment of fuzzy association rules
D. Dubois, E. Hüllermeier, H. Prade, Data Mining and Knowledge Discovery 13 (2006) 167–192.
LibreCat
 
[300]
2006 | Journal Article | LibreCat-ID: 16176
Fuzzy methods in case-based recommendation and decision support
D. Dubois, E. Hüllermeier, H. Prade, Journal of Intelligent Information Systems 27 (2006) 95–115.
LibreCat
 
[299]
2006 | Journal Article | LibreCat-ID: 16177
Learning from ambiguously labeled examples
E. Hüllermeier, J. Beringer, Intelligent Data Analysis 10 (2006) 419–440.
LibreCat
 
[298]
2006 | Journal Article | LibreCat-ID: 16180
Physicochemical descriptors to discriminate protein interactions in permanent and transient complexes by means of machine learning algorithms
P. Block, J. Paern, E. Hüllermeier, P. Sanschagrin, C. Sotriffer, G. Klebe, Proteins: Structure, Function and Bioinformatics 65 (2006) 607–622.
LibreCat
 
[297]
2006 | Journal Article | LibreCat-ID: 16182
From the similarity analysis of protein cavities to the functional classification of protein families using Cavbase
D. Kuhn, N. Weskamp, S. Schmitt, E. Hüllermeier, G. Klebe, Journal of Molecular Biology 359 (2006) 1023–1044.
LibreCat
 
[296]
2006 | Journal Article | LibreCat-ID: 16183
Online clustering of parallel data streams
J. Beringer, E. Hüllermeier, Data and Knowledge Engineering 58 (2006) 180–204.
LibreCat
 
[295]
2006 | Journal Article | LibreCat-ID: 16195
A fuzzy-probablistic earthquake risk assessment system
I. Karimi, E. Hüllermeier, K. Meskouris, Soft Computing 11 (2006) 229–238.
LibreCat
 
[294]
2005 | Conference Paper | LibreCat-ID: 15799
Calibrated label-ranking
K. Brinker, E. Hüllermeier, in: S. Agarwal, C. Cortes, R. Herbrich (Eds.), In Proceedings of the NIPS-2005 Workshop on Learning to Rank, Whistler, BC, Canada, http://web.mit.edu/shivani/www/Ranking-NIPS-05/., 2005, pp. 1–6.
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[293]
2005 | Conference Paper | LibreCat-ID: 15800
On position error and label ranking through iterated choice
E. Hüllermeier, J. Fürnkranz, J. Beringer, in: In Proceedings LWA/FGML-2005, German Workshop on Machine Learning, Saarbrücken, Germany , 2005, pp. 158–163.
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[292]
2005 | Conference Paper | LibreCat-ID: 14839
A method for combining interacting pieces of evidence in case-based learning
E. Hüllermeier, C. NN, in: L. Kaelbling, A. Saffiotti (Eds.), In Proceedings IJCAI-05, 19th International Joint Conference on Artificial Intelligence, Edingburgh, Scotland, 2005, pp. 3–8.
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[291]
2005 | Conference Paper | LibreCat-ID: 14840
Learning label preferences: Ranking error versus position error
E. Hüllermeier, J. Fürnkranz, in: A. Famili, J. Kok, J. Pena, A. Siebes, A. Feelders (Eds.), In Proceedings IDA-2005, 6th International Symposium on Intelligent Data Analysis, Madrid, Springer, 2005, pp. 180–191.
LibreCat
 
[290]
2005 | Conference Paper | LibreCat-ID: 14841
Learning from ambiguously labeled examples
E. Hüllermeier, J. Beringer, in: A. Famili, J. Kok, J. Pena, A. Siebes, A. Feelders (Eds.), In Proceedings IDA-2005, 6th International Symposium on Intelligent Data Analysis, Madrid, Springer, 2005, pp. 168–179.
LibreCat
 
[289]
2005 | Conference Paper | LibreCat-ID: 15105
A notion of comarative probabilistic entroy based on the possibilistic specificity ordering
D. Dubois, E. Hüllermeier, in: In Proceedings ECSQARU-2005, 8th European Conference of Symbolic and Quantitative Approaches to Reasoning with Uncertainty, Barcelona, Spain, 2005.
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[288]
2005 | Conference Paper | LibreCat-ID: 15214
A fuzzy-probablistic risk assessment system for natural disasters
I. Karimi, E. Hüllermeier, in: In Proceedings IFSA-2005, 11th  World Congress of the International Fuzzy System Association, Beijing, China, 2005, pp. 1147–1153.
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[287]
2005 | Conference Paper | LibreCat-ID: 15215
Improving the interpretability of data-driven evolving fuzzy systems
E. Lughofer, E. Hüllermeier, E. Klement, in: In Proceedings EUSFLAT-2005 4th International Conference on the European Society for Fuzzy Logic and Technology, Barcelona, Spain, 2005.
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[286]
2005 | Conference Paper | LibreCat-ID: 15216
Learning complexity-boundet rule-based classifiers by combining association analysis and genetic algorithms
Y. Yi, E. Hüllermeier, in: In Proceedings EUSFLAT-2005 4th International Conference on the European Society for Fuzzy Logic and Technology,  Barcelona, Spain, 2005.
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[285]
2005 | Journal Article | LibreCat-ID: 16174
Fuzzy sets in machine learning and data mining: Status and prospects
E. Hüllermeier, Fuzzy Sets and Systems 156 (2005) 387–406.
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[284]
2005 | Journal Article | LibreCat-ID: 16178
Experience-based decision making: A satisficing decision tree approach
E. Hüllermeier, IEEE Transactions on Systems, Man and Cybernetics-Part A: Systems and Humans 35 (2005) 641–653.
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[283]
2005 | Journal Article | LibreCat-ID: 16181
Clustering of gene expression data using a local shape-based similarity measure
R. Balasubramaniyan, E. Hüllermeier, N. Weskamp, J. Kämper, Bioinformatics 21 (2005) 1069–1077.
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[282]
2004 | Conference Paper | LibreCat-ID: 15801
A systematic approach to the assessment of fuzzy association rules
D. Dubois, E. Hüllermeier, H. Prade, in: J. Cubero, D. Sanchez, Z. Ras, T. Sudkamp (Eds.), In Proceedings of the Workshop on Alternative Techniques for Data Mining and Knowledge Discovery, IEEE International Conference on Data Mining, Brighton, UK, 2004.
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[281]
2004 | Conference Paper | LibreCat-ID: 15804
Graph alignments: A new concept to detect conserved regions in protein active sites
N. Weskamp, E. Hüllermeier, D. Kuhn, G. Klebe, in: R. Giegerich, J. Stoye (Eds.), In Proceedings of GCB-2004 of the German Conference on Bioinformatics, Bielefeld, Germany, Springer, 2004, pp. 131–140.
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[280]
2004 | Conference Paper | LibreCat-ID: 14842
Instance-based prediction with guaranteed confidence
E. Hüllermeier, in: R. Lopez de Mantaras, L. Saitta (Eds.), In Proceedings ECAI-2004, 16th European Conference on Artificial Inteligence, Valencia, Spain, IOS Press, 2004, pp. 97–101.
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[279]
2004 | Conference Paper | LibreCat-ID: 15217
Comparison of ranking procedures in pairwise preference learning
E. Hüllermeier, J. Fürnkranz, in: In Proceedings IPMU-2004 10th International Conference on Information Processing and Management  of Uncertainty in Knowledge-Based Systems, Perugia, Italy, 2004.
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[278]
2004 | Conference Paper | LibreCat-ID: 15218
Ranking by pairwise comparison: A note on risk minimization
E. Hüllermeier, J. Fürnkranz, in: In Proceedings FUZZ-IEEE-04, IEEE International Conference on Fuzzy Systems, Budapest, Hungary, 2004.
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[277]
2004 | Conference Paper | LibreCat-ID: 15219
An earthquake risk assessment method based on fuzzy probability
I. Karimi, E. Hüllermeier, K. Meskouris, in: In Proceedings 6th International FLINS Conference on Applied  Computational Intelligence, Duinse Polders, Blankenberg,Belgien, 2004.
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[276]
2004 | Conference Paper | LibreCat-ID: 15220
Learning decision rules from positive and negative preferences
E. Hüllermeier, J. Beringer, in: In Proceedings IPMU-2004 10th International Conference on Information Processing and Management  of Uncertainty in Knowledge-Based Systems, Perugia, Italy, 2004.
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[275]
2004 | Journal Article | LibreCat-ID: 16185
An evolutionary approach to constraints-regularized learning
E. Hüllermeier, I. Renners, A. Grauel, Mathware and Soft Computing 11 (2004) 109–124.
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[274]
2004 | Journal Article | LibreCat-ID: 16186
Efficient similarity search in protein structure databases: Improving clique-detection through clique-hashing
N. Weskamp, D. Kuhn, E. Hüllermeier, G. Klebe, Bioinformatics 20 (2004) 1522–1526.
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[273]
2004 | Journal Article | LibreCat-ID: 16187
Flexible constraints for regularization in learning from data
E. Hüllermeier, International Journal of Intelligent Systems 19 (2004) 525–541.
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[272]
2003 | Conference Paper | LibreCat-ID: 15802
Efficient similarity search in protein structure databases: Improving clique-detection through geometric hashing
N. Weskamp, D. Kuhn, E. Hüllermeier, G. Klebe, in: In Proceedings GCB-2003 German Conference on Bioinformatics, Munich, Germany, 2003.
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[271]
2003 | Conference Paper | LibreCat-ID: 15803
Instance-based learning of credible label sets
E. Hüllermeier, in: A. Günter, R. Kruse, B. Neumann (Eds.), In Proceedings KI-2003, 26th German Conference on Artificial Intelligence, Hamburg, Germany, Springer, 2003.
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[270]
2003 | Conference Paper | LibreCat-ID: 15065
Regularized learning with flexible constraints
E. Hüllermeier, in: M.R. Berthold, H.J. Lenz, E. Bradley, R. Kruse, C. Borgelt (Eds.), In Proceddings IDA-03, 5th International Symposium on Intelligent Data Anaysis, Springer, 2003.
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[269]
2003 | Conference Paper | LibreCat-ID: 15066
Pairwise preference learning and ranking
J. Fürnkranz, E. Hüllermeier, in: In Proceedings ECML-2003, 13 Th European Conference on Machine Learning, Cavtat-Dubrovnik, Croatia, Springer, 2003.
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[268]
2003 | Conference Paper | LibreCat-ID: 15221
Instance-based collaborative filtering with fuzzy labels
E. Hüllermeier, in: In Proceedings EUSFLAT-2003 3th International Conference on the European Society for Fuzzy Logic and Technology, Zittlau, Germany, 2003, pp. 468–473.
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[267]
2003 | Conference Paper | LibreCat-ID: 15222
A note on quality measures for fuzzy association rules
D. Dubois, E. Hüllermeier, H. Prade, in: T. Bilgic, B. De Beats, O. Kaynak (Eds.), In Proceedings IFSA-03 10th International Fuzzy Systems Association World Congress, Istanbul, Turkey, Springer, 2003, pp. 648–677.
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[266]
2003 | Conference Paper | LibreCat-ID: 15223
Inducing fuzzy concepts through extended version space learning
E. Hüllermeier, in: T. Bilgic, B. De Beats, O. Kaynak (Eds.), In Proceedings IFSA-03 10th International Fuzzy Systems Association World Congress, Istanbul, Turkey, Springer, 2003, pp. 648–677.
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[265]
2003 | Journal Article | LibreCat-ID: 16188
Possibilistic instance-based learning
E. Hüllermeier, Artificial Intelligence 148 (2003) 335–383.
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[264]
2003 | Journal Article | LibreCat-ID: 16189
Flexibility and case-based evaluation in querying: An Illustration in an experimental setting
M. De Calmès, D. Dubois, E. Hüllermeier, H. Prade, F. Sèdes, International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems 11 (2003) 43–66.
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[263]
2003 | Journal Article | LibreCat-ID: 16190
On the representation of fuzzy rules in terms of crisp rules
D. Dubois, E. Hüllermeier, H. Prade, Information Sciences 151 (2003) 301–326.
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[262]
2003 | Book Chapter | LibreCat-ID: 16228
Sequential decision making in heuristic search
E. Hüllermeier, in: G. Della Riccia, D. Dubois, R. Kruse, H.J. Lenz (Eds.), Planning Based on Decision Theory (CISM Courses and Lectures No.472), Springer, 2003.
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[261]
2003 | Book Chapter | LibreCat-ID: 16229
Possibilistic case-based decisions
D. Dubois, E. Hüllermeier, H. Prade, in: C. Lesage, M. Cottrell (Eds.), Connectionist Approaches in Economics and Management  Sciences, Kluwer, 2003.
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[260]
2003 | Book Chapter | LibreCat-ID: 16230
Mining implication-based fuzzy association rules in databases
E. Hüllermeier, J. Beringer, in: B. Bouchon-Meunier, L. Foulloy, R.R.. Yager (Eds.), Intelligent Systems for Information Processing: From Representation to Applications, Elsevier, 2003.
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[259]
2002 | Conference Paper | LibreCat-ID: 14843
On the representation and combination of evidence in instance-based learning
E. Hüllermeier, in: In Proceedings ECAI-2002, 15th European Conference on Artificial Intelligence, Lyon, France, IOS Press, 2002, pp. 360–364.
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[258]
2002 | Conference Paper | LibreCat-ID: 15064
A fuzzy set approach to flexible case-based querying: methodology and experimentation
M. De Calmès, D. Dubois, E. Hüllermeier, H. Prade, F. Sèdes, in: D. Fensel, F. Giunchiglia, D. Mc Guinness, M.A. Williams (Eds.), In Proceedings KR-02, 8th International Conference on Principles of Knowledge Representation and Reasoning, France, Morgan Kaufmann, 2002, pp. 449–458.
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[257]
2002 | Conference Paper | LibreCat-ID: 15098
Association rules for expressing gradual dependencies
E. Hüllermeier, in: In Proceedings PKDD-02  6th European Conference on Principles and Practise of Knowledge Discovery in Databases, Helsinki, Finland, Springer, 2002, pp. 200–211.
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[256]
2002 | Conference Paper | LibreCat-ID: 15101
Possibilistic induction in decision tree learning
E. Hüllermeier, in: In Proceedings ECML-02, 13th European Conference on Machine Learning, Helsinki Finland, Springer, 2002, pp. 173–184.
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[255]
2002 | Conference Paper | LibreCat-ID: 15226
Mining implication-based fuzzy association rules in databases
E. Hüllermeier, in: In Proceedings IPMU-2002 9th International Conference on Information Processing and Management  of Uncertainty in Knowledge-Based Systems,Annecy, France, 2002, pp. 101–108.
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[254]
2002 | Conference Paper | LibreCat-ID: 15227
Exploiting similarity and experience in decision making
E. Hüllermeier, in: In Proceedings FUZZ-IEEE-02, IEEE International Conference on Fuzzy Systems, Honolulu, Hawaii, 2002, pp. 729–734.
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[253]
2002 | Conference Paper | LibreCat-ID: 15228
Case-based quering and prediction: A fuzzy set approach
M. De Calmès, D. Dubois, E. Hüllermeier, H. Prade, F. Sèdes, in: In Proceedings FUZZ-IEEE-02, IEEE International Conference on Fuzzy Systems, Honolulu, Hawaii, 2002, pp. 735–740.
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[252]
2002 | Journal Article | LibreCat-ID: 16191
Model adaption in possibilistic instance-based reasoning
E. Hüllermeier, D. Dubois, H. Prade, IEEE Transactions on Fuzzy Systems 10 (2002) 333–339.
LibreCat
 
[251]
2002 | Journal Article | LibreCat-ID: 16192
Fuzzy set-based methods in instance-based reasoning
D. Dubois, E. Hüllermeier, H. Prade, IEEE Transactions on Fuzzy Systems 10 (2002) 322–332.
LibreCat
 
[250]
2002 | Book Chapter | LibreCat-ID: 16232
Knowledge-based extrapolation of cases: A possibilistic approach
E. Hüllermeier, D. Dubois, H. Prade, in: B. Bouchon-Meunier, J. Gutierrez-Rios, L. Magdalena, R.R. Yager (Eds.), Technologies for Constructing Intelligent Systems, Springer, 2002, pp. 377–390.
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[249]
2001 | Conference Paper | LibreCat-ID: 15300
Experience-based decision making and learning from examples
E. Hüllermeier, in: In Proceedings SOR-01 Symposium on Operations Research, Duisburg, Germany, Springer, 2001.
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[248]
2001 | Conference Paper | LibreCat-ID: 15805
Possibilistic instance-based learning
E. Hüllermeier, in: In Proceedings FGML-2001 German Workshop on Machine Learning, Dortmund, Germany, 2001, pp. 108–115.
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[247]
2001 | Conference Paper | LibreCat-ID: 15806
Implication-based fuzzy association rules
E. Hüllermeier, in: In Proceedings FGML-2001 German Workshop on Machine Learning, Dortmund, Germany, 2001, pp. 93–99.
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[246]
2001 | Conference Paper | LibreCat-ID: 15807
Instance-based prediction in the framework of possibility theory
E. Hüllermeier, D. Dubois, H. Prade, in: In Proceedings of Workshop on Soft Computing in Case-Based Reasoning, Vancouver, Canada, 2001.
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[245]
2001 | Conference Paper | LibreCat-ID: 15106
Implication-based fuzzy association rules
E. Hüllermeier, in: D. Raedt, A. Siebes (Eds.), In Proceedings PKDD-01  5th European Conference on Principles and Practise of Knowledge Discovery in Databases, Freiburg, Germany, Springer, 2001, pp. 241–252.
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[244]
2001 | Conference Paper | LibreCat-ID: 15229
Fuzzy association rules: Semantic issues and quality measures
E. Hüllermeier, in: B. Reusch (Ed.), In Proceedings of the International Conference on Computational Intelligence 7th Fuzzy Days, Dortmund, Germany, Springer, 2001, pp. 380–391.
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[243]
2001 | Conference Paper | LibreCat-ID: 15230
Toward the representation of implication-based fuzzy rules in terms of crisp rules
D. Dubois, E. Hüllermeier, H. Prade, in: In Proceedings IFSA/NAFIPS-2001  Joint 9th World Congress of the International Fuzzy Systems Association and 20th Internatinonal Conference of the North American Fuzzy Information Processing Society, Vancouver, Canada, 2001, pp. 1592–1597.
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[242]
2001 | Journal Article | LibreCat-ID: 16193
Similarity-based inference as evidential reasoning
E. Hüllermeier, International Journal of Approximate Reasoning 26 (2001) 67–100.
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[241]
2001 | Book Chapter | LibreCat-ID: 16231
Machinelles Lernen und Komplexität
E. Hüllermeier, in: F. Haslinger, P. Weise (Eds.), Ökonomie Und Gesellschaft, Jahrbuch 17: Komplexität Und Lernen, Metropolis, 2001, pp. 255–288.
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[240]
2001 | Book Chapter | LibreCat-ID: 16233
Empirische Überprüfung eines synergetischen Konjunkturmodells
M. Kraft, E. Hüllermeier, P. Weise, in: H.-W. Lorenz, B. Meyer (Eds.), Studien Zur Evoltorischen Ökonomik IV, Duncker & Humblot, Berlin, 2001, pp. 11–44.
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