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426 Publications


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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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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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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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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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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2013 | Conference Paper | LibreCat-ID: 495
Reducing Nondeterminism in Automated Service Composition
F. Mohr, T. Lettmann, H. Kleine Büning, in: Proceedings of the 6th International Conference on Service Oriented Computing and Applications (SOCA), 2013, pp. 154–161.
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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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.
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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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2010 | Journal Article | LibreCat-ID: 16151 LibreCat
 

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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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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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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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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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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