Dubois D, Hüllermeier E, Prade H. A systematic approach to the assessment of fuzzy association rules. In: Cubero J, Sanchez D, Ras Z, Sudkamp T, eds. In Proceedings of the Workshop on Alternative Techniques for Data Mining and Knowledge Discovery, IEEE International Conference on Data Mining, Brighton, UK. ; 2004.

Weskamp N, Hüllermeier E, Kuhn D, Klebe G. Graph alignments: A new concept to detect conserved regions in protein active sites. In: Giegerich R, Stoye J, eds. In Proceedings of GCB-2004 of the German Conference on Bioinformatics, Bielefeld, Germany. Lecture Notes in Informatics, Bielefeld, Germany. Springer; 2004:131-140.

Hüllermeier E. Instance-based prediction with guaranteed confidence. In: Lopez de Mantaras R, Saitta L, eds. In Proceedings ECAI-2004, 16th European Conference on Artificial Inteligence, Valencia, Spain. IOS Press; 2004:97-101.

Hüllermeier E, Fürnkranz J. Comparison of ranking procedures in pairwise preference learning. In: In Proceedings IPMU-2004 10th International Conference on Information Processing and Management  of Uncertainty in Knowledge-Based Systems, Perugia, Italy. ; 2004.

Hüllermeier E, Fürnkranz J. Ranking by pairwise comparison: A note on risk minimization. In: In Proceedings FUZZ-IEEE-04, IEEE International Conference on Fuzzy Systems, Budapest, Hungary. ; 2004.

Karimi I, Hüllermeier E, Meskouris K. An earthquake risk assessment method based on fuzzy probability. In: In Proceedings 6th International FLINS Conference on Applied  Computational Intelligence, Duinse Polders, Blankenberg,Belgien. ; 2004.

Hüllermeier E, Beringer J. Learning decision rules from positive and negative preferences. In: In Proceedings IPMU-2004 10th International Conference on Information Processing and Management  of Uncertainty in Knowledge-Based Systems, Perugia, Italy. ; 2004.

Hüllermeier E, Renners I, Grauel A. An evolutionary approach to constraints-regularized learning. Mathware and Soft Computing. 2004;11(2-3):109-124.

Weskamp N, Kuhn D, Hüllermeier E, Klebe G. Efficient similarity search in protein structure databases: Improving clique-detection through clique-hashing. Bioinformatics. 2004;20(10):1522-1526.

Hüllermeier E. Flexible constraints for regularization in learning from data. International Journal of Intelligent Systems. 2004;19(6):525-541.

Weskamp N, Kuhn D, Hüllermeier E, Klebe G. Efficient similarity search in protein structure databases: Improving clique-detection through geometric hashing. In: In Proceedings GCB-2003 German Conference on Bioinformatics, Munich, Germany. ; 2003.

Hüllermeier E. Instance-based learning of credible label sets. In: Günter A, Kruse R, Neumann B, eds. In Proceedings KI-2003, 26th German Conference on Artificial Intelligence, Hamburg, Germany. 2821 in Lecture Notes in Artificial Intelligence, Hamburg, Germany. Springer; 2003.

Hüllermeier E. Regularized learning with flexible constraints. In: Berthold MR, Lenz HJ, Bradley E, Kruse R, Borgelt C, eds. In Proceddings IDA-03, 5th International Symposium on Intelligent Data Anaysis. Vol 2810.  Lecture Notes in Computer Science, Berlin. Springer; 2003.

Fürnkranz J, Hüllermeier E. Pairwise preference learning and ranking. In: In Proceedings ECML-2003, 13 Th European Conference on Machine Learning, Cavtat-Dubrovnik, Croatia. Springer; 2003.

Hüllermeier E. Instance-based collaborative filtering with fuzzy labels. In: In Proceedings EUSFLAT-2003 3th International Conference on the European Society for Fuzzy Logic and Technology, Zittlau, Germany. ; 2003:468-473.

Dubois D, Hüllermeier E, Prade H. A note on quality measures for fuzzy association rules. In: Bilgic T, De Beats B, Kaynak O, eds. In Proceedings IFSA-03 10th International Fuzzy Systems Association World Congress, Istanbul, Turkey. Vol 2715. LNAI. Springer; 2003:648-677.

Hüllermeier E. Inducing fuzzy concepts through extended version space learning. In: Bilgic T, De Beats B, Kaynak O, eds. In Proceedings IFSA-03 10th International Fuzzy Systems Association World Congress, Istanbul, Turkey. Vol 2715. LNAI. Springer; 2003:648-677.

Hüllermeier E. Possibilistic instance-based learning. Artificial Intelligence. 2003;148(1-2):335-383.

De Calmès M, Dubois D, Hüllermeier E, Prade H, Sèdes F. Flexibility and case-based evaluation in querying: An Illustration in an experimental setting. International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems. 2003;11(1):43-66.

Dubois D, Hüllermeier E, Prade H. On the representation of fuzzy rules in terms of crisp rules. Information Sciences. 2003;151:301-326.