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.

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.

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.

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.

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.

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.

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.

Fuzzy sets in machine learning and data mining: Status and prospects
E. Hüllermeier, Fuzzy Sets and Systems 156 (2005) 387–406.

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.

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.

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.

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.

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.

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.

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.

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.

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.

An evolutionary approach to constraints-regularized learning
E. Hüllermeier, I. Renners, A. Grauel, Mathware and Soft Computing 11 (2004) 109–124.

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.

Flexible constraints for regularization in learning from data
E. Hüllermeier, International Journal of Intelligent Systems 19 (2004) 525–541.