Hüllermeier, E. (2007). Why fuzzy set theory is useful in data mining. In F. Masseglia, P. Poncelet, &; M. Teisseire (Eds.), Successes and New Directions in Data Mining (pp. 1–16). Information Science Reference, Hershey, New York.

Beringer, J., &; Hüllermeier, E. (2007). Fuzzy clustering of parallel data streams. In J. Valente de Oliveira &; W. Pedrycz (Eds.), Advances in Fuzzy Clustering and its Applications  (pp. 333–352). John Wiley and Sons.

Hüllermeier, E. (2007). Fuzzy methods for data mining and machine learning: State of the art and prospects. In Fuzzy Sets and their Extensions: Representation, Aggregation and Models (pp. 355–374). Springer.

Hüllermeier, E. (2007). Case-based Approximate Reasoning (Vol. 44). Springer.

Sulzmann, J. N., Fürnkranz, J., &; Hüllermeier, E. (2007). On pairwise Naive Bayes classifiers. In In Proceedings ECML-2007, 17th European Conference on Machine Learning, Warsawa, Poland. Springer.

Beringer, J., &; Hüllermeier, E. (2006). Adaptive optimization of the number of clusters in fuzzy clustering, Dortmund, Germany 2006. In R. Mikut &; M. Reischl (Eds.), in Proceedings 16th Workshop Computational Intelligence, Dortmund Germany (pp. 140–149).

Hüllermeier, E., &; Brinker, K. (2006). Classification via fuzzy preference learning. In R. Mikut &; M. Reischl (Eds.), in Proceedings 16th Workshop Computational Intelligence, Dortmund Germany (pp. 190–199).

Hüllermeier, E. (2006). Credible case-based inference using similarity profiles. In M. Minor (Ed.), In Proceedings of ECCBR-2006 Workshops, 8th European Conference on Case-Based Reasoning, Ölüdeniz/Fethiye Turkey (pp. 230–242).

Bade, K., Hüllermeier, E., &; Nürnberger, A. (2006). Hierarchical classification by expected utility maximization. In In Proceedings ICDM-2006, IEEE International Conference on Data Mining (pp. 43–52). IEEE Computer Society Press.

Brinker, K., &; Hüllermeier, E. (2006). Case-based label ranking. In In Proceedings ECML-2006, 17th European Conference on Machine Learning, Berlin September 2006 (pp. 566–573). Springer.

Brinker, K., Fuernkranz, J., &; Hüllermeier, E. (2006). A unified model for multilabel classification and ranking. In G. Brewka, S. Coradeschi, A. Perini, &; P. Traverso (Eds.), In Proceedings ECAI-2006, 17th European Conference on Artificial Inteligence, Riva del Garda, Italy (pp. 489–493).

Hüllermeier, E. (2006). 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.

Hüllermeier, E. (2006). The Choquet integral as an aggregation operator in case-based learning. In B. Reusch (Ed.), in Proceeding of the International Conference on Computational Intelligence, 9th Fuzzy Days, Dortmund (pp. 615–628). Springer.

Dubois, D., Hüllermeier, E., &; Prade, H. (2006). A systematic approach to the assessment of fuzzy association rules. Data Mining and Knowledge Discovery, 13(2), 167–192.

Dubois, D., Hüllermeier, E., &; Prade, H. (2006). Fuzzy methods in case-based recommendation and decision support. Journal of Intelligent Information Systems, 27, 95–115.

Hüllermeier, E., &; Beringer, J. (2006). Learning from ambiguously labeled examples. Intelligent Data Analysis, 10(5), 419–440.

Beringer, J., &; Hüllermeier, E. (2006). Online clustering of parallel data streams. Data and Knowledge Engineering, 58(2), 180–204.

Karimi, I., Hüllermeier, E., &; Meskouris, K. (2006). A fuzzy-probablistic earthquake risk assessment system. Soft Computing, 11(3), 229–238.

Brinker, K., &; Hüllermeier, E. (2005). Calibrated label-ranking. In S. Agarwal, C. Cortes, &; R. Herbrich (Eds.), In Proceedings of the NIPS-2005 Workshop on Learning to Rank, Whistler, BC, Canada (pp. 1–6). http://web.mit.edu/shivani/www/Ranking-NIPS-05/.

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

Hüllermeier, E., &; NN, C. (2005). A method for combining interacting pieces of evidence in case-based learning. In L. Kaelbling &; A. Saffiotti (Eds.), in Proceedings IJCAI-05, 19th international Joint Conference on Artificial Intelligence, Edingburgh, Scotland (pp. 3–8).

Hüllermeier, E., &; Fürnkranz, J. (2005). Learning label preferences: Ranking error versus position error. In A. Famili, J. Kok, J. Pena, A. Siebes, &; A. Feelders (Eds.), In Proceedings IDA-2005, 6th International Symposium on Intelligent Data Analysis, Madrid (Vol. 3646, pp. 180–191). Springer.

Hüllermeier, E., &; Beringer, J. (2005). Learning from ambiguously labeled examples. In A. Famili, J. Kok, J. Pena, A. Siebes, &; A. Feelders (Eds.), In Proceedings IDA-2005, 6th International Symposium on Intelligent Data Analysis, Madrid (Vol. 3646, pp. 168–179). Springer.

Dubois, D., &; Hüllermeier, E. (2005). 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.

Karimi, I., &; Hüllermeier, E. (2005). 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 (pp. 1147–1153).

Lughofer, E., Hüllermeier, E., &; Klement, E. (2005). 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.

Yi, Y., &; Hüllermeier, E. (2005). 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.

Hüllermeier, E. (2005). Fuzzy sets in machine learning and data mining: Status and prospects. Fuzzy Sets and Systems, 156(3), 387–406.

Hüllermeier, E. (2005). Experience-based decision making: A satisficing decision tree approach. IEEE Transactions on Systems, Man and Cybernetics-Part A: Systems and Humans, 35(5), 641–653.

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

Dubois, D., Hüllermeier, E., &; Prade, H. (2004). A systematic approach to the assessment of fuzzy association rules. 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.

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

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

Hüllermeier, E., &; Fürnkranz, J. (2004). 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.

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

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

Hüllermeier, E., &; Beringer, J. (2004). 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.

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

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

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

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

Hüllermeier, E. (2003). Instance-based learning of credible label sets. In A. Günter, R. Kruse, &; B. Neumann (Eds.), In Proceedings KI-2003, 26th German Conference on Artificial Intelligence, Hamburg, Germany. Springer.

Hüllermeier, E. (2003). Regularized learning with flexible constraints. In M. R. Berthold, H. J. Lenz, E. Bradley, R. Kruse, &; C. Borgelt (Eds.), In Proceddings IDA-03, 5th International Symposium on Intelligent Data Anaysis (Vol. 2810). Springer.

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

Hüllermeier, E. (2003). 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 (pp. 468–473).

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

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

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

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

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