K. Brinker, J. Fuernkranz, and E. Hüllermeier, “A unified model for multilabel classification and ranking,” in In Proceedings ECAI-2006, 17th European Conference on Artificial Inteligence, Riva del Garda, Italy, 2006, pp. 489–493.

E. Hüllermeier, “Integrating instance-based learning and logistic regression,” in In Proceedings IPMU-2006 11th International Conference on Information Processing and Management  of Uncertainty in Knowledge-Based Systems, Paris, France, 2006.

E. Hüllermeier, “The Choquet integral as an aggregation operator in case-based learning,” in in Proceeding of the International Conference on Computational Intelligence, 9th Fuzzy Days, Dortmund, 2006, pp. 615–628.

D. Dubois, E. Hüllermeier, and H. Prade, “A systematic approach to the assessment of fuzzy association rules,” Data Mining and Knowledge Discovery, vol. 13, no. 2, pp. 167–192, 2006.

D. Dubois, E. Hüllermeier, and H. Prade, “Fuzzy methods in case-based recommendation and decision support,” Journal of Intelligent Information Systems, vol. 27, pp. 95–115, 2006.

E. Hüllermeier and J. Beringer, “Learning from ambiguously labeled examples,” Intelligent Data Analysis, vol. 10, no. 5, pp. 419–440, 2006.

J. Beringer and E. Hüllermeier, “Online clustering of parallel data streams,” Data and Knowledge Engineering, vol. 58, no. 2, pp. 180–204, 2006.

I. Karimi, E. Hüllermeier, and K. Meskouris, “A fuzzy-probablistic earthquake risk assessment system,” Soft Computing, vol. 11, no. 3, pp. 229–238, 2006.

K. Brinker and E. Hüllermeier, “Calibrated label-ranking,” in In Proceedings of the NIPS-2005 Workshop on Learning to Rank, Whistler, BC, Canada, 2005, pp. 1–6.

E. Hüllermeier, J. Fürnkranz, and J. Beringer, “On position error and label ranking through iterated choice,” in In Proceedings LWA/FGML-2005, German Workshop on Machine Learning, Saarbrücken, Germany , 2005, pp. 158–163.

E. Hüllermeier and C. NN, “A method for combining interacting pieces of evidence in case-based learning,” in in Proceedings IJCAI-05, 19th international Joint Conference on Artificial Intelligence, Edingburgh, Scotland, 2005, pp. 3–8.

E. Hüllermeier and J. Fürnkranz, “Learning label preferences: Ranking error versus position error,” in In Proceedings IDA-2005, 6th International Symposium on Intelligent Data Analysis, Madrid, 2005, vol. 3646, pp. 180–191.

E. Hüllermeier and J. Beringer, “Learning from ambiguously labeled examples,” in In Proceedings IDA-2005, 6th International Symposium on Intelligent Data Analysis, Madrid, 2005, vol. 3646, pp. 168–179.

D. Dubois and E. Hüllermeier, “A notion of comarative probabilistic entroy based on the possibilistic specificity ordering,” in in Proceedings ECSQARU-2005, 8th European Conference of Symbolic and Quantitative Approaches to Reasoning with Uncertainty, Barcelona, Spain, 2005.

I. Karimi and E. Hüllermeier, “A fuzzy-probablistic risk assessment system for natural disasters,” in in Proceedings IFSA-2005, 11th  World Congress of the International Fuzzy System Association, Beijing, China, 2005, pp. 1147–1153.

E. Lughofer, E. Hüllermeier, and E. Klement, “Improving the interpretability of data-driven evolving fuzzy systems,” in in Proceedings EUSFLAT-2005 4th International Conference on the European Society for Fuzzy Logic and Technology, Barcelona, Spain, 2005.

Y. Yi and E. Hüllermeier, “Learning complexity-boundet rule-based classifiers by combining association analysis and genetic algorithms,” in in Proceedings EUSFLAT-2005 4th International Conference on the European Society for Fuzzy Logic and Technology,  Barcelona, Spain, 2005.

E. Hüllermeier, “Fuzzy sets in machine learning and data mining: Status and prospects,” Fuzzy Sets and Systems, vol. 156, no. 3, pp. 387–406, 2005.

E. Hüllermeier, “Experience-based decision making: A satisficing decision tree approach,” IEEE Transactions on Systems, Man and Cybernetics-Part A: Systems and Humans, vol. 35, no. 5, pp. 641–653, 2005.

R. Balasubramaniyan, E. Hüllermeier, N. Weskamp, and J. Kämper, “Clustering of gene expression data using a local shape-based similarity measure,” Bioinformatics, vol. 21, no. 7, pp. 1069–1077, 2005.