Recent Publications

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Eyke Hüllermeier, Maria Rifqi, Sascha Henzgen and Robin Senge.
Comparing Fuzzy Partitions: A Generalization of the Rand Index and Related Measures.
IEEE Transactions on Fuzzy Systems (to appear).
[ Draft-PDF ]

A. Fallah Tehrani, W. Cheng, K. Dembczynski and E. Hüllermeier.
Learning Monotone Nonlinear Models using the Choquet Integral.
Proc. ECML/PKDD-2011, European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases.
Athens, Greece, September 2011.
[ PDF ]

W. Kotlowski, K. Dembczynski and E. Hüllermeier.
Bipartite Ranking through Minimization of Univariate Loss.
Proc. ICML-2011, 28th International Conference on Machine Learning.
Washington, USA, June 2011.
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W. Cheng, J. Fürnkranz, E. Hüllermeier and S.H. Park
Preference-Based Policy Iteration: Leveraging Preference Learning for Reinforcement Learning.
Proc. ECML/PKDD-2011, European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases.
Athens, Greece, September 2011.
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A. Fallah Tehrani, W. Cheng and E. Hüllermeier.
Choquistic Regression: Generalizing Logistic Regression using the Choquet Integral.
Proc. Eusflat-LFA 2011, 7th International Conference of the European Society for Fuzzy Logic and Technology.
Aix-les-Bains, France, July 2011.
[ PDF ] [ Slides ]

E. Lughofer and E. Hüllermeier.
On-line Redundancy Deletion in Evolving Fuzzy Regression Models using a Fuzzy Inclusion Measure.
Proc. Eusflat-LFA 2011, 7th International Conference of the European Society for Fuzzy Logic and Technology.
Aix-les-Bains, France, July 2011.
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M. Nasiri, E. Hüllermeier, R. Senge and E. Lughofer.
Comparing Methods for Knowledge-Driven and Data-Driven Fuzzy Modeling: A Case Study in Textile Industry.
Proc. IFSA-2011, World Congress of the International Fuzzy Systems Association.
Surabaya and Bali Island, Indonesia, June 2011.
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E. Hüllermeier and P. Schlegel.
Preference-Based CBR: First Steps Toward a Methodological Framework.
Proc. ICCBR-2011, 19th International Conference on Case-Based Reasoning.
London, September 2011.
[ PDF ] [ Slides ]

E. Hüllermeier.
Fuzzy Sets in Machine Learning and Data Mining.
Applied Soft Computing Journal, 11:1493-1505, 2011.
[ Draft-PDF ]

M. Mernberger, G. Klebe and E. Hüllermeier.
SEGA: Semi-Global Graph Alignment for Structure-based Protein Comparison.
IEEE/ACM Transactions on Computational Biology and Bioinformatics, 8(5):1330-1343, 2011.
[ Draft-PDF ]

T. Fober, S. Glinca, G. Klebe and E. Hüllermeier.
Superposition and Alignment of Labeled Point Clouds.
IEEE/ACM Transactions on Computational Biology and Bioinformatics, 8(6):1653-1666, 2011. 
[ Draft-PDF ]

R. Senge and E. Hüllermeier.
Top-Down Induction of Fuzzy Pattern Trees.
IEEE Transactions on Fuzzy Systems (to appear).
[ Draft-PDF ]

W. Cheng, M. Rademaker, B. De Beats and E. Hüllermeier.
Predicting Partial Orders: Ranking with Abstention.
Proc. ECML/PKDD 2010, European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases.
Barcelona, Spain, September 2010.
[ Draft-PDF ]

K. Dembczynski, W. Waegeman, W. Cheng and E. Hüllermeier.
Regret Analysis for Performance Metrics in Multi-Label Classication: The Case of Hamming and Subset Zero-One Loss.
Proc. ECML/PKDD 2010, European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases.
Barcelona, Spain, September 2010.
[ Draft-PDF ]

W. Cheng, K. Dembczynski and E. Hüllermeier.
Graded Multi-Label Classification: The Ordinal Case.
Proc. ICML-2010, International Conference on Machine Learning.
Haifa, Israel, June 2010.
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W. Cheng, K. Dembczynski and E. Hüllermeier.
Label Ranking based on the Placket-Luce Model.
Proc. ICML-2010, International Conference on Machine Learning.
Haifa, Israel, June 2010.
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K. Dembczynski, W. Cheng and E. Hüllermeier.
Bayes Optimal Multilabel Classification via Probabilistic Classifier Chains.
Proc. ICML-2010, International Conference on Machine Learning.
Haifa, Israel, June 2010.
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K. Dembczynski, W. Waegeman, W. Cheng and E. Hüllermeier.
On Label Dependence in Multi-Label Classification.
Proc. MLD 2010, 2nd Int. Workshop "Learning from Multi-Label Data".
Haifa, Israel, June 2010.
[ PDF ]

H.W. Koh and E. Hüllermeier.
Mining Gradual Dependencies based on Fuzzy Rank Correlation.
Proc. SMPS 2010, 5th Int. Conf. on Soft Methods in Probability and Statistics.
Oviedo/Mieres (Asturias), Spain, October 2010.
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R. Senge and E. Hüllermeier.
Pattern Trees for Regression and Fuzzy Systems Modeling.
Proc. WCCI-2010, World Congress on Computational Intelligence.
Barcelona, July 2010.
[ PDF ] [ Slides ]

T. Fober and E. Hüllermeier.
Similarity Measures for Protein Structures based on Fuzzy Histogram Comparison.
Proc. WCCI-2010, World Congress on Computational Intelligence.
Barcelona, July 2010.
[ PDF ]

W. Cheng and E. Hüllermeier.
Combining instance-based learning and logistic regression for multilabel classification.
Machine Learning 76(2-3):211-235, 2009.
[ Draft-PDF ]

T. Fober, M. Mernberger, R. Moritz and E. Hüllermeier.
Graph-Kernels for the Comparative Analysis of Protein Active Sites.
Proc. GCB-2009, German Conference on Bioinformatics.
Halle (Saale), Germany, September 2009.
[ Draft-PDF ]

T. Fober, M. Mernberger, and E. Hüllermeier.
Evolutionary Construction of Multiple Graph Alignments for the Structural Analysis of Biomolecules.
Bioinformatics (to appear).
[ Draft-PDF supplementary ]

E. Hüllermeier and M. Rifqi.
A Fuzzy Variant of the Rand Index for Comparing Clustering Structures.
Proceedings IFSA/EUSFLAT-2009, World Congress of the Fuzzy Systems Association, Lisbon, Portugal, 2009.
[ Draft-PDF ]

E. Hüllermeier and S. Vanderlooy.
Why Fuzzy Decision Trees are Good Rankers
IEEE Transactions on Fuzzy Systems 17(5), 2009.
[ Draft-PDF ]

E. Hüllermeier and S. Vanderlooy.
Combining Predictions in Pairwise Classifiation: An Optimal Adaptive Voting Strategy and Its Relation to Weighted Voting
Pattern Recognition 43(1):128-142, 2010.
[ Draft-PDF ]

W. Cheng, J. Hühn, and E. Hüllermeier.
Decision Tree and Instance-Based Learning for Label Ranking.
Proc. ICML-09, International Conference on Machine Learning.
Montreal, Canada, June 2009.
[ PDF ]

J. Hühn and E. Hüllermeier.
FURIA: An Algorithm for Unordered Fuzzy Rule Induction.
Data Mining and Knowledge Discovery 19:293-319, 2009.
[ Draft-PDF | Software ]

N. Weskamp, E. Hüllermeier, and G. Klebe.
Merging chemical and biological space: Structural mapping of enzyme binding pocket space.
Proteins: Structure, Function and Bioinformatics 76(2):317-30, 2009.

I. Boukhris, Z. Elouedi, T. Fober, M. Mernberger and E. Hüllermeier.
Similarity Analysis of Protein Binding Sites: A Generalization of the Maximum Common Subgraph Measure Based on Quasi-Clique Detection.
Proc. ISDA-2009, 9th International Conference on Intelligent Systems Design and Applications.
Pisa, Italy, 2009.
[ Draft-PDF ]

W. Cheng and E. Hüllermeier
A New Instance-Based Label Ranking Approach using the Mallows Model
LNCS 5551 Advances in Neural Networks: 707-716, Springer
The 6th International Symposium on Neural Networks
Wuhan, China, May 2009
[ Draft-PDF ]

J. Hühn and E. Hüllermeier.
Is an ordinal class structure useful in classifier learning?
Int. Journal of Data Mining, Modelling and Management 1(1):45–67, 2008.
[ Draft-PDF ]

Y. Yi, T. Fober and E. Hüllermeier.
Fuzzy Operator Trees for Modeling Rating Functions
Int. Journal of Computational Intelligence and Applications 8(4):413-428, 2009.
[ Draft-PDF ]

T. Fober, M. Mernberger, and E. Hüllermeier.
Evolutionary Construction of Multiple Graph Alignments for the Structural Analysis of Biomolecules.
Proc. GCB-2008, German Conference on Bioinformatics.
Dresden, Germany, September 2008.
[ Draft-PDF ]

S. Vanderlooy and E. Hüllermeier.
A Critical Analysis of Variants of the AUC.
Machine Learning 72:247-272, 2008.
[ PDF ]

E. Hüllermeier, J. Fürnkranz, W. Cheng, and K. Brinker.
Label Ranking by Learning Pairwise Preferences.
Artificial Intelligence 172:1897-1917, 2008.
[ Draft-PDF ]

J. Fürnkranz, E. Hüllermeier, E. Mencia, and K. Brinker.
Multilabel Classification via Calibrated Label Ranking.
Machine Learning 73(2):133-153, 2008.
[ Draft-PDF ]

W. Cheng and E. Hüllermeier.
Learning Similarity Functions from Qualitative Feedback.
Proc. ECCBR-2008, 9th European Conference on Case-Based Reasoning.
Trier, Germany, September 2008.
[ Draft-PDF ]

E. Hüllermeier, I. Vladimirskiy, B. Prados Suarez, and E. Stauch.
Supporting Case-Based Retrieval by Similarity Skylines: Basic Concepts ad Extensions.
Proc. ECCBR-2008, 9th European Conference on Case-Based Reasoning.
Trier, Germany, September 2008.
[ Draft-PDF ]

J. Hühn and E. Hüllermeier
FR3: A Fuzzy Rule Learner for Inducing Reliable Classifiers.
IEEE Transactions on Fuzzy Systems 17(1):138-149, 2009.
[ Draft-PDF | Software ]

E. Hüllermeier and J. Fürnkranz.
On Minimizing the Position Error in Label Ranking.
Proc. ECML-07, 17th European Conference on Machine Learning.
Warsaw, Poland, September 2007.
[ Draft-PDF ]

J.N. Sulzmann, J. Fürnkranz, and E. Hüllermeier.
On Pairwise Naive Bayes Classifiers.
Proc. ECML-07, 17th European Conference on Machine Learning.
Warsaw, Poland, September 2007.
[ Draft-PDF ]

E. Hüllermeier and K. Brinker.
Learning Valued Preference Structures for Solving Classification Problems.
Fuzzy Sets and Systems 159(18):2337-2352, 2008.
[ Draft-PDF ]

E. Hüllermeier.
Credible Case-Based Inference Using Similarity Profiles.
IEEE Transactions on Knowledge & Data Engineering 19(5):847-858, 2007.
[ Draft-PDF ]

N. Weskamp, E. Hüllermeier, D. Kuhn, and G. Klebe.
Multiple Graph Alignment for the Structural Analysis of Protein Active Sites.
IEEE/ACM Transactions on Computational Biology and Bioinformatics 4(2):310-320, 2007.
[ Draft-PDF ]

J. Beringer and E. Hüllermeier.
Efficient Instance-Based Learning on Data Streams.
Intelligent Data Analysis 11(6):627-650, 2007.
[ Draft-PDF ]

K. Brinker and E. Hüllermeier.
Label Ranking in Case-Based Reasoning.
Proc. ICCBR-07, 7th International Conference on Case-Based Reasoning.
Belfast, Northern Ireland, August 2007.
[ Draft-PDF ]

J. Beringer and E. Hüllermeier.
Adaptive Optimization of the Number of Clusters in Fuzzy Clustering
Proc. Fuzz-IEEE-07, IEEE International Conference on Fuzzy Systems.
London, July 2007.
[ Draft-PDF ]

D. Kuhn, N. Weskamp, S. Schmitt, E. Hüllermeier, and G. Klebe.
From the Similarity Analysis of Protein Cavities to the Functional Classification of Protein Families Using CavBase.
Journal of Molecular Biology, 359(4):1023-1044, 2006.

E. Hüllermeier and Y. Yi.
In Defense of Fuzzy Association Analysis
IEEE Transactions on Systems, Man, and Cybernetric - Part B, 37(4): 1039-1043, 2007.
[ Draft-PDF ]

E. Hüllermeier and J. Beringer.
Learning from Ambiguously Labeled Examples
Intelligent Data Analysis 10(5):419-440, 2006.
[ Draft-PDF ]

D. Dubois and E. Hüllermeier.
Comparing Probability Measures Using Possibility Theory: A Notion of Relative Peakedness.
International Journal of Approximate Reasoning 45(2):364-385, 2007.
[ Draft-PDF ]

K. Brinker and E. Hüllermeier.
Case-Based Label Ranking.
Proceedings ECML-06, 17th European Conference on Machine Learning
Berlin, Germany, Sept 2006.
[ Draft-PDF ]

K. Brinker and E. Hüllermeier.
Case-Based Multilabel Ranking.
Proceedings IJCAI-07, 20th International Joint Conference on Artificial Intelligence
Hyderabad, India, Feb 2007.
[ Draft-PDF ]

K. Brinker, E. Hüllermeier, and J. Fürnkranz.
A Unified Model for Multilabel Classification and Ranking.
Proceedings ECAI-06, 17th European Conference on Artificial Intelligence
Riva del Garda, Italy, Aug/Sept 2006.
[ Draft-PDF ]

D. Dubois, E. Hüllermeier, and H. Prade.
A Systematic Approach to the Assessment of Fuzzy Association Rules.
Data Mining and Knowledge Discovery, 13(2): 167-192, 2006.
[ Draft-PDF ]

E. Hüllermeier and J. Beringer.
Learning from Ambiguously Labeled Examples.
Proceedings IDA-05, 6th International Symposium on Intelligent Data Analysis
Madrid, Spain, September 2005.
[ Draft-PDF ]

R. Balasubramaniyan, E. Hüllermeier, N. Weskamp, and Jörg Kämper.
Clustering of gene expression data using a local shape-based similarity measure.
Bioinformatics, 21(7):1069–1077, 2005.

J. Beringer and E. Hüllermeier.
Fuzzy Clustering of Parallel Data Streams.
In: J. Valente de Oliveira and W. Pedrycz (eds.), Advances in Fuzzy Clustering and Its Application, pp. 333-352, John Wiley and Sons, 2007.
[ Draft-PDF ]

Yu Yi and E. Hüllermeier.
Learning Complexity-Bounded Rule-Based Classifiers by Combining Association Analysis and Genetic Algorithms.
Proceedings EUSFLAT-2005, Barcelona, Spain, 2005.
[ Draft-PDF ]

E. Hüllermeier and J. Fürnkranz.
Learning Label Preferences: Ranking Error versus Position Error.
Proceedings IDA-05, 6th International Symposium on Intelligent Data Analysis
Madrid, Spain, September 2005.
[ Draft-PDF ]

E. Hüllermeier.
Cho-k-NN: A Method for Combining Interacting Pieces of Evidence in Case-Based Learning.
Proceedings IJCAI-05, 19th International Joint Conference on Artificial Intelligence, pp 3-8.
Edinburgh, Scotland, July/August 2005.
[ Draft-PDF ]

J. Beringer and E. Hüllermeier.
Online-Clustering of Parallel Data Streams.
Data and Knowledge Engineering 58(2), 180-204, 2006.
[ Draft-PDF ]

E. Hüllermeier.
Fuzzy-Methods in Machine Learning and Data Mining: Status and Prospects.
Fuzzy Sets and Systems 156(3), 387-407, 2005.
[ Draft-PDF ]

D. Dubois and E. Hüllermeier.
A Notion of Comparative Probabilistic Entropy based on the Possibilistic Specificity Ordering.
Proceedings ECSQARU-2005, 8. European Conferences on Symbolic and Quantitative Approaches to Reasoning with Uncertainty.
Valencia, Spain, July 2005.
[ Draft-PDF ]

E. Hüllermeier.
Instance-Based Prediction with Guaranteed Confidence.
Proceedings ECAI-2004, 16th European Conference on Artificial Intelligence,
Valencia, Spain, August 2004.
[ PDF ]

E. Hüllermeier and J. Fürnkranz,
Ranking by Pairwise Comparison: A Note on Risk Minimization.
Proceedings FUZZ-IEEE-04, IEEE International Conference on Fuzzy Systems.
Budapest, Hungary, July 2004.
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E. Hüllermeier and J. Fürnkranz,
Comparison of Ranking Procedures in Pairwise Preference Learning.
IPMU-04, International Conference on Information Processing and Management of Uncertainty in Knoweldge-Based Systems.
Perugua, Italy, 2004.
[ PDF ]

E. Hüllermeier and J. Fürnkranz (eds).
Preference Learning: Models, Methods, Applications.
Technical Report TR-2003-14, Österreichisches Forschungsinstitut für Artificial Intelligence, Wien, May 2003.
Proceedings of the Workshop held as part of KI-2003, Hamburg, September 2003.
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N. Weskamp, D. Kuhn, E. Hüllermeier and G. Klebe.
Efficient Similarity Search in Protein Structure Databases: Improving Clique-Detection through Clique-Hashing.
Proceedings GCB - 2003, German Conference on Bioinformatics, Munich, October 2003.
[ PDF ]

E. Hüllermeier.
Possibilistic Instance-Based Learning.
Artificial Intelligence, Volume 148, Issues 1-2, Pages 335-383, April 2003.
[ Draft-PDF ]

D. Dubois, E. Hüllermeier and H. Prade.
A Note on Quality Measures for Fuzzy Association Rules.
Proceedings IFSA-03, 10th International Fuzzy Systems Association World Congress,
Lecture Notes in Artificial Intelligence, number 2715, pages 677-648, Springer-Verlag, Istambul, July 2003.
[ Draft-PDF ]

J. Fürnkranz and E. Hüllermeier.
Pairwise Preference Learning and Ranking.
Technical Report TR-2003-14, Österreichisches Forschungsinstitut für Artificial Intelligence, Wien, May 2003.
[ PDF ]

E. Hüllermeier
Numerical methods for Fuzzy Initial Value problems.
Int. J. Uncertainty, Fuzziness and Knowledge-Based Systems, 7(5):439-461, 1999.
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E. Hüllermeier
A New Approach to Modelling and Simulation of Uncertain Dynamical Systems.
Int. J. Uncertainty, Fuzziness and Knowledge-Based Systems, 5(2):117-137, 1997.
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