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

Hüllermeier E. 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.

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

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

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

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

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

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

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

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

Hüllermeier E, NN C. A method for combining interacting pieces of evidence in case-based learning. In: Kaelbling L, Saffiotti A, eds. In Proceedings IJCAI-05, 19th International Joint Conference on Artificial Intelligence, Edingburgh, Scotland. ; 2005:3-8.

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

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

Dubois D, Hüllermeier E. 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.

Karimi I, Hüllermeier E. 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. ; 2005:1147-1153.

Lughofer E, Hüllermeier E, Klement E. 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.

Yi Y, Hüllermeier E. 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.

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

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

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

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.

Hüllermeier E. Sequential decision making in heuristic search. In: Della Riccia G, Dubois D, Kruse R, Lenz HJ, eds. Planning Based on Decision Theory (CISM Courses and Lectures No.472). Springer; 2003.

Dubois D, Hüllermeier E, Prade H. Possibilistic case-based decisions. In: Lesage C, Cottrell M, eds. Connectionist Approaches in Economics and Management  Sciences. Vol 6. Advances in Computational Management Sciences. Kluwer; 2003.

Hüllermeier E, Beringer J. Mining implication-based fuzzy association rules in databases. In: Bouchon-Meunier B, Foulloy L, Yager RR., eds. Intelligent Systems for Information Processing: From Representation to Applications. Elsevier; 2003.

Hüllermeier E. On the representation and combination of evidence in instance-based learning. In: In Proceedings ECAI-2002, 15th European Conference on Artificial Intelligence, Lyon, France. IOS Press; 2002:360-364.

De Calmès M, Dubois D, Hüllermeier E, Prade H, Sèdes F. A fuzzy set approach to flexible case-based querying: methodology and experimentation. In: Fensel D, Giunchiglia F, Mc Guinness D, Williams MA, eds. In Proceedings KR-02, 8th International Conference on Principles of Knowledge Representation and Reasoning, France. Morgan Kaufmann; 2002:449-458.

Hüllermeier E. Association rules for expressing gradual dependencies. In: In Proceedings PKDD-02  6th European Conference on Principles and Practise of Knowledge Discovery in Databases, Helsinki, Finland. Springer; 2002:200-211.

Hüllermeier E. Possibilistic induction in decision tree learning. In: In Proceedings ECML-02, 13th European Conference on Machine Learning, Helsinki Finland. Springer; 2002:173-184.

Hüllermeier E. Mining implication-based fuzzy association rules in databases. In: In Proceedings IPMU-2002 9th International Conference on Information Processing and Management  of Uncertainty in Knowledge-Based Systems,Annecy, France. ; 2002:101-108.

Hüllermeier E. Exploiting similarity and experience in decision making. In: In Proceedings FUZZ-IEEE-02, IEEE International Conference on Fuzzy Systems, Honolulu, Hawaii. ; 2002:729-734.

De Calmès M, Dubois D, Hüllermeier E, Prade H, Sèdes F. Case-based quering and prediction: A fuzzy set approach. In: In Proceedings FUZZ-IEEE-02, IEEE International Conference on Fuzzy Systems, Honolulu, Hawaii. ; 2002:735-740.

Hüllermeier E, Dubois D, Prade H. Model adaption in possibilistic instance-based reasoning. IEEE Transactions on Fuzzy Systems. 2002;10(3):333-339.

Dubois D, Hüllermeier E, Prade H. Fuzzy set-based methods in instance-based reasoning. IEEE Transactions on Fuzzy Systems. 2002;10(3):322-332.

Hüllermeier E, Dubois D, Prade H. Knowledge-based extrapolation of cases: A possibilistic approach. In: Bouchon-Meunier B, Gutierrez-Rios J, Magdalena L, Yager RR, eds. Technologies for Constructing Intelligent Systems. Springer; 2002:377-390.

Hüllermeier E. Experience-based decision making and learning from examples. In: In Proceedings SOR-01 Symposium on Operations Research, Duisburg, Germany. Springer; 2001.

Hüllermeier E. Possibilistic instance-based learning. In: In Proceedings FGML-2001 German Workshop on Machine Learning, Dortmund, Germany. ; 2001:108-115.

Hüllermeier E. Implication-based fuzzy association rules. In: In Proceedings FGML-2001 German Workshop on Machine Learning, Dortmund, Germany. ; 2001:93-99.

Hüllermeier E, Dubois D, Prade H. Instance-based prediction in the framework of possibility theory. In: In Proceedings of Workshop on Soft Computing in Case-Based Reasoning, Vancouver, Canada. ; 2001.

Hüllermeier E. Implication-based fuzzy association rules. In: Raedt D, Siebes A, eds. In Proceedings PKDD-01  5th European Conference on Principles and Practise of Knowledge Discovery in Databases, Freiburg, Germany. Vol 2168. LNAI. Springer; 2001:241-252.

Hüllermeier E. Fuzzy association rules: Semantic issues and quality measures. In: Reusch B, ed. In Proceedings of the International Conference on Computational Intelligence 7th Fuzzy Days, Dortmund, Germany. Vol 2206. LNCS. Springer; 2001:380-391.

Dubois D, Hüllermeier E, Prade H. Toward the representation of implication-based fuzzy rules in terms of crisp rules. In: In Proceedings IFSA/NAFIPS-2001  Joint 9th World Congress of the International Fuzzy Systems Association and 20th Internatinonal Conference of the North American Fuzzy Information Processing Society, Vancouver, Canada. ; 2001:1592-1597.

Hüllermeier E. Similarity-based inference as evidential reasoning. International Journal of Approximate Reasoning. 2001;26:67-100.

Hüllermeier E. Machinelles Lernen und Komplexität. In: Haslinger F, Weise P, eds. Ökonomie Und Gesellschaft, Jahrbuch 17: Komplexität Und Lernen. Metropolis; 2001:255-288.

Kraft M, Hüllermeier E, Weise P. Empirische  Überprüfung eines synergetischen Konjunkturmodells. In: Lorenz H-W, Meyer B, eds. Studien Zur Evoltorischen Ökonomik IV. Duncker &; Humblot, Berlin; 2001:11-44.

Hüllermeier E. Fuzzy dynamics: Methodological framework and applications of compartmental modeling. In: Dubois DM, ed. In Proceedings CASYS-2000, 4th International Conference on Computing Anticipatory Systems Liège, Belgium. ; 2000.

Gueroguieva I, Nestorov I, Rowland M, Hüllermeier E. In vitro-in vivo hepatic clearance prediction using fuzzy sets. In: In Proceedings EUFEPS-2000, 6th European Congress of Pharmaceutical Sciences, Supplement 1 . Vol 11. European Journal of Pharmaceutical Sciences; 2000:.

Dubois D, Hüllermeier E, Prade H. Flexible control of case-based prediction in the framework of possibility theory. In: In Proceedings RàPC-2000, Raisonnement à Partir de Cas, Toulouse, France. ; 2000:7-16.

Hüllermeier E. Similarity-based inference as evidential reasoning. In: Horn W, ed. In Proceedings ECAI-2000, 14th European Conference on Artificial Inteligence, Berlin, Germany. IOS Press; 2000:50-54.

Hüllermeier E. Focusing search by using problem solving experience. In: Horn W, ed. In Proceedings ECAI-2000, 14th European Conference on Artificial Inteligence, Berlin, Germany. IOS Press; 2000:55-59.

Hüllermeier E. Change detection in heuristic search. In: Proceedings AAAI 2000, 17th National Conference on Artificial Intelligence, Austin, Texas. ; 2000:898-903.

Hüllermeier E. A method for predicting solutions in case-based problem solving. In: Blanzieri E, Portinale L, eds. In Proceedings EWCBR-2000, 5th European Workshop on Case-Based Reasoning, Trento, Italy. Springer; 2000:124-135.

Dubois D, Hüllermeier E, Prade H. Flexible control of case-based prediction in the framework of possibility theory. In: Blanzieri E, Portinale L, eds. In Proceedings EWCBR-2000, 5th European Workshop on Case-Based Reasoning, Trento, Italy. Springer; 2000:61-73.

Hüllermeier E, Dubois D, Prade H. Knowledge-based extrapolution of cases: A possibilistic approach. In: In Proceedings IPMU-2000 8th International Conference on Information Processing and Management  of Uncertainty in Knowledge-Based Systems, Madrid, Spain. ; 2000:1575-1582.

Hüllermeier E, Giersch C. Fuzzy dynamics and applications in biological systems modelling. Systems Analysis,  Modelling, Simulation. 2000;38:29-50.

Hüllermeier E, Kraft M, Weise P. Evaluation and specification of a synergetic business cycle model with German data. Homo Oeconomicus XVI. 2000.

Dubois D, Hüllermeier E, Prade H. Formalizing case-based inference using fuzzy rules. In: Pal SK, So DY, Dillon T, eds. Soft Computing in Case-Based Reasoning. Springer; 2000:47-72.

Kleine Büning H, Lettmann T. Resolution remains hard under equivalence. Discrete Applied Mathematics. 1999:139-148. doi:10.1016/s0166-218x(99)00055-4

Hüllermeier E, Dubois D, Prade H. Fuzzy rules in case-based reasoning. In: In Proceedings RàPC-1999, Raisonnement à Partir de Cas, Paris Palaiseau, France, In Conferences AFIA-1999. ; 1999:45-54.

Hüllermeier E. Toward a probabilistic formalization of case-based inference. In: Dean T, ed. In Proceedings IJCAI-99, 16th International Joint Conference on Artificial Intelligence, Stockholm, Sweden. Morgan Kaufmann; 1999:248-253.

Hüllermeier E. Exploiting similarity for supporting data analysis and problem solving. In: Hand DJ, Kok JN, Berthold MR, eds. In Proceedings IDA-1999, 3th International Symposium on Intelligent Data Analysis, Amsterdam, Netherlands. Vol 1642. LNCS. Springer; 1999:257-268.

Hüllermeier E, Dubois D, Prade H. Extensions of a qualitative approach to case-based decision making: Unvertainty and fuzzy quantification in act evaluation. In: Zimmermann HJ, ed. In Proceedings EUFIT-99 7th European Congress on Intelligent Techniques and Soft Computing, Aachen, Germany. ; 1999.

Hüllermeier E. Toward models of case-based decision making. In: Zimmermann HJ, ed. In Proceedings EUFIT-99 7th European Congress on Intelligent Techniques and Soft Computing, Aachen, Germany. ; 1999.

Hüllermeier E. A possibilistic formalization of case-based reasoning and decision making. In: Reusch B, ed. In Proceedings of the 6th International Conference on Computational Intelligence, Dortmund, Germany. Vol 1625. LNCS. Springer; 1999:411-420.

Hüllermeier E. Numerical methods for fuzzy initial value problems. International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems. 1999;7(5):439-461.

Hüllermeier E. Approximation of uncertain funtional relationships. Fuzzy Sets and Systems. 1999;101(2):227-240.

Hüllermeier E. Qualitatives Schließen und Qualitative Simulation. In: Szczerbicka H, Uthmann T, eds. Modellierung, Simulation Und Künstliche Intelligenz. SCS Publishing House, Erlangen; 1999:277-310.

Hüllermeier E, Giersch C. Fuzzy sets and modelling of uncertainty in biological systems. In: In Proceedings IPMU-98 7th International Conference on Information Processing and Management  of Uncertainty in Knowledge-Based Systems, Paris, La Sorbonne. Editions E.D.K.; 1998:1857-1864.

Hüllermeier E. A Bayesian approach to case-based probalistic reasoning. In: In Proceedings IPMU-98 7th International Conference on Information Processing and Management  of Uncertainty in Knowledge-Based Systems, Paris, La Sorbonne. Editions E.D.K.; 1998:1296-1303.

Hüllermeier E. Numerical solutions for fuzzy initial value problems. In: Borne P, Ksouri M, El Kamel A, eds. In Proceedings CESA-98, IMACS Multiconference on Computaional Engineering in Systems Applications, Symposium on Applied Mathematics and Optimization, Nabeul-Hammamet, Tunesia. ; 1998.

Hüllermeier E. Case-based probality and case-based decision making. In: Gierl L, Lenz M, eds. In Proceedings of the 6th German Workshop on Case-Based Reasoning, Berlin, Germany. ; 1998:13-22.

Hüllermeier E. Fuzzy dynamics of compartmental systems. In: Zimmermann HJ, ed. In Proceedings EUFIT-98 6th European Congress on Intelligent Techniques and Soft Computing, Aachen, Germany. ; 1998.

Hüllermeier E. Hierarchical  propagation of uncertain constraints. In: Zimmermann HJ, ed. In Proceedings EUFIT-97 5th European Congress on Intelligent Techniques and Soft Computing, Aachen, Germany. ; 1997:953-957.

Hüllermeier E. Approximation of fuzzy functions. In: Grauel A, Becker W, Belli F, eds. In Proceedings 4.Internationaler Workshop Fuzzy-Neuro-Systeme. Soest Germany. ; 1997:374-381.

Hüllermeier E. Modellierung und Simulation unsicherer dynamischer Systeme und Anwendungen in der Diagnose. In: Möller DPF, Richter O, eds. In Proceedings ASIM Fachgruppentagung Soft Computing. ; 1997.

Hüllermeier E. A new approach to modelling and simulation of uncertain dynamical systems. International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems. 1997;5(2):117-137.

Kleine Büning H, Lettmann T. Learning a representation for optimizable formulas. In: Lecture Notes in Computer Science. Berlin, Heidelberg; 1996. doi:10.1007/3-540-61863-5_33

Hüllermeier E. Approminate probabilistic reasoning with fuzzy constraints. In: Zimmermann HJ, ed. In Proceedings EUFIT-96 4th European Congress on Intelligent Techniques and Soft Computing, Aachen, Germany. ; 1996.

Hüllermeier E. A fuzzy simulation method. In: Anderson PG, Warwick K, eds. International Symposium on Soft Computing, Reading U.K. ICSC Academic Press; 1996:0-6.

Hüllermeier E. Hierarchical constraint propagation based on interval arithmetic. In: In Proceedings Interval-96 International Conference on Interval Methods and Computer Aided Proofs in Science and Engineering, Würzburg. ; 1996:54-55.

Hüllermeier E. Towards modelling of fuzzy functions. In: Zimmermann HJ, ed. In Proceedings EUFIT-95 3rd European Congress on Intelligent Techniques and Soft Computing, Aachen, Germany. ; 1995:150-154.

Hüllermeier E. Rule-based modelling in fuzzy simulation. In: In Proceedings ISFL-95 International Symposium on Logic, Zürich. ICSC Academic Press; 1995:-.