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.

D. Dubois, E. Hüllermeier, and H. Prade, “A systematic approach to the assessment of fuzzy association rules,” in In Proceedings of the Workshop on Alternative Techniques for Data Mining and Knowledge Discovery, IEEE International Conference on Data Mining, Brighton, UK, 2004.

N. Weskamp, E. Hüllermeier, D. Kuhn, and G. Klebe, “Graph alignments: A new concept to detect conserved regions in protein active sites,” in In Proceedings of GCB-2004 of the German Conference on Bioinformatics, Bielefeld, Germany, 2004, pp. 131–140.

E. Hüllermeier, “Instance-based prediction with guaranteed confidence,” in In Proceedings ECAI-2004, 16th European Conference on Artificial Inteligence, Valencia, Spain, 2004, pp. 97–101.

E. Hüllermeier and J. Fürnkranz, “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.

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

I. Karimi, E. Hüllermeier, and K. Meskouris, “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.

E. Hüllermeier and J. Beringer, “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.

E. Hüllermeier, I. Renners, and A. Grauel, “An evolutionary approach to constraints-regularized learning,” Mathware and Soft Computing, vol. 11, no. 2–3, pp. 109–124, 2004.

N. Weskamp, D. Kuhn, E. Hüllermeier, and G. Klebe, “Efficient similarity search in protein structure databases: Improving clique-detection through clique-hashing,” Bioinformatics, vol. 20, no. 10, pp. 1522–1526, 2004.

E. Hüllermeier, “Flexible constraints for regularization in learning from data,” International Journal of Intelligent Systems, vol. 19, no. 6, pp. 525–541, 2004.

N. Weskamp, D. Kuhn, E. Hüllermeier, and G. Klebe, “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.

E. Hüllermeier, “Instance-based learning of credible label sets,” in In Proceedings KI-2003, 26th German Conference on Artificial Intelligence, Hamburg, Germany, 2003.

E. Hüllermeier, “Regularized learning with flexible constraints,” in In Proceddings IDA-03, 5th International Symposium on Intelligent Data Anaysis, 2003, vol. 2810.

J. Fürnkranz and E. Hüllermeier, “Pairwise preference learning and ranking,” in In Proceedings ECML-2003, 13 th European Conference on Machine Learning, Cavtat-Dubrovnik, Croatia, 2003.

E. Hüllermeier, “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, pp. 468–473.

D. Dubois, E. Hüllermeier, and H. Prade, “A note on quality measures for fuzzy association rules,” in in Proceedings IFSA-03 10th International Fuzzy Systems Association World Congress, Istanbul, Turkey, 2003, vol. 2715, pp. 648–677.

E. Hüllermeier, “Inducing fuzzy concepts through extended version space learning,” in in Proceedings IFSA-03 10th International Fuzzy Systems Association World Congress, Istanbul, Turkey, 2003, vol. 2715, pp. 648–677.

E. Hüllermeier, “Possibilistic instance-based learning,” Artificial Intelligence, vol. 148, no. 1–2, pp. 335–383, 2003.

M. De Calmès, D. Dubois, E. Hüllermeier, H. Prade, and F. Sèdes, “Flexibility and case-based evaluation in querying: An Illustration in an experimental setting,” International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, vol. 11, no. 1, pp. 43–66, 2003.

D. Dubois, E. Hüllermeier, and H. Prade, “On the representation of fuzzy rules in terms of crisp rules,” Information Sciences, vol. 151, pp. 301–326, 2003.

E. Hüllermeier, “Sequential decision making in heuristic search,” in Planning Based on Decision Theory (CISM Courses and Lectures No.472), G. Della Riccia, D. Dubois, R. Kruse, and H. J. Lenz, Eds. Springer, 2003.

D. Dubois, E. Hüllermeier, and H. Prade, “Possibilistic case-based decisions,” in Connectionist Approaches in Economics and Management  Sciences, vol. 6, C. Lesage and M. Cottrell, Eds. Kluwer, 2003.

E. Hüllermeier and J. Beringer, “Mining implication-based fuzzy association rules in databases,” in Intelligent Systems for information processing: From representation to applications, B. Bouchon-Meunier, L. Foulloy, and R. R. . Yager, Eds. Elsevier, 2003.

E. Hüllermeier, “On the representation and combination of evidence in instance-based learning,” in In Proceedings ECAI-2002, 15th European Conference on Artificial Intelligence, Lyon, France, 2002, pp. 360–364.

M. De Calmès, D. Dubois, E. Hüllermeier, H. Prade, and F. Sèdes, “A fuzzy set approach to flexible case-based querying: methodology and experimentation,” in in Proceedings KR-02, 8th International Conference on Principles of Knowledge Representation and Reasoning, France, 2002, pp. 449–458.

E. Hüllermeier, “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, 2002, pp. 200–211.

E. Hüllermeier, “Possibilistic induction in decision tree learning,” in in Proceedings ECML-02, 13th European Conference on Machine Learning, Helsinki Finland, 2002, pp. 173–184.

E. Hüllermeier, “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, pp. 101–108.

E. Hüllermeier, “Exploiting similarity and experience in decision making,” in in Proceedings FUZZ-IEEE-02, IEEE International Conference on Fuzzy Systems, Honolulu, Hawaii, 2002, pp. 729–734.

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

E. Hüllermeier, D. Dubois, and H. Prade, “Model adaption in possibilistic instance-based reasoning,” IEEE Transactions on Fuzzy Systems, vol. 10, no. 3, pp. 333–339, 2002.

D. Dubois, E. Hüllermeier, and H. Prade, “Fuzzy set-based methods in instance-based reasoning,” IEEE Transactions on Fuzzy Systems, vol. 10, no. 3, pp. 322–332, 2002.

E. Hüllermeier, D. Dubois, and H. Prade, “Knowledge-based extrapolation of cases: A possibilistic approach,” in Technologies for Constructing Intelligent Systems, B. Bouchon-Meunier, J. Gutierrez-Rios, L. Magdalena, and R. R. Yager, Eds. Springer, 2002, pp. 377–390.

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

E. Hüllermeier, “Possibilistic instance-based learning,” in In Proceedings FGML-2001 German Workshop on Machine Learning, Dortmund, Germany, 2001, pp. 108–115.

E. Hüllermeier, “Implication-based fuzzy association rules,” in In Proceedings FGML-2001 German Workshop on Machine Learning, Dortmund, Germany, 2001, pp. 93–99.

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

E. Hüllermeier, “Implication-based fuzzy association rules,” in in Proceedings PKDD-01  5th European Conference on Principles and Practise of Knowledge Discovery in Databases, Freiburg, Germany, 2001, vol. 2168, pp. 241–252.

E. Hüllermeier, “Fuzzy association rules: Semantic issues and quality measures,” in in Proceedings of the International Conference on Computational Intelligence 7th Fuzzy Days, Dortmund, Germany, 2001, vol. 2206, pp. 380–391.

D. Dubois, E. Hüllermeier, and H. Prade, “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, pp. 1592–1597.

E. Hüllermeier, “Similarity-based inference as evidential reasoning,” International Journal of Approximate Reasoning, vol. 26, pp. 67–100, 2001.

E. Hüllermeier, “Machinelles Lernen und Komplexität,” in Ökonomie und Gesellschaft, Jahrbuch 17: Komplexität und Lernen, F. Haslinger and P. Weise, Eds. Metropolis, 2001, pp. 255–288.

M. Kraft, E. Hüllermeier, and P. Weise, “Empirische  Überprüfung eines synergetischen Konjunkturmodells,” in Studien zur Evoltorischen Ökonomik IV, H.-W. Lorenz and B. Meyer, Eds. Duncker &; Humblot, Berlin, 2001, pp. 11–44.

E. Hüllermeier, “Fuzzy dynamics: Methodological framework and applications of compartmental modeling,” in in Proceedings CASYS-2000, 4th International Conference on Computing Anticipatory Systems Liège, Belgium, 2000.

I. Gueroguieva, I. Nestorov, M. Rowland, and E. Hüllermeier, “In vitro-in vivo hepatic clearance prediction using fuzzy sets,” in in Proceedings EUFEPS-2000, 6th European Congress of Pharmaceutical Sciences, Supplement 1 , 2000, vol. 11, p. .

D. Dubois, E. Hüllermeier, and H. Prade, “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, pp. 7–16.

E. Hüllermeier, “Similarity-based inference as evidential reasoning,” in In Proceedings ECAI-2000, 14th European Conference on Artificial Inteligence, Berlin, Germany, 2000, pp. 50–54.

E. Hüllermeier, “Focusing search by using problem solving experience,” in In Proceedings ECAI-2000, 14th European Conference on Artificial Inteligence, Berlin, Germany, 2000, pp. 55–59.

E. Hüllermeier, “Change detection in heuristic search,” in Proceedings AAAI 2000, 17th National Conference on Artificial Intelligence, Austin, Texas, 2000, pp. 898–903.

E. Hüllermeier, “A method for predicting solutions in case-based problem solving,” in in Proceedings EWCBR-2000, 5th European Workshop on Case-Based Reasoning, Trento, Italy, 2000, pp. 124–135.

D. Dubois, E. Hüllermeier, and H. Prade, “Flexible control of case-based prediction in the framework of possibility theory,” in in Proceedings EWCBR-2000, 5th European Workshop on Case-Based Reasoning, Trento, Italy, 2000, pp. 61–73.

E. Hüllermeier, D. Dubois, and H. Prade, “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, pp. 1575–1582.

E. Hüllermeier and C. Giersch, “Fuzzy dynamics and applications in biological systems modelling,” Systems Analysis,  Modelling, Simulation, vol. 38, pp. 29–50, 2000.

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

D. Dubois, E. Hüllermeier, and H. Prade, “Formalizing case-based inference using fuzzy rules,” in Soft Computing in Case-Based Reasoning, S. K. Pal, D. Y. So, and T. Dillon, Eds. Springer, 2000, pp. 47–72.

H. Kleine Büning and T. Lettmann, “Resolution remains hard under equivalence,” Discrete Applied Mathematics, pp. 139–148, 1999.

E. Hüllermeier, D. Dubois, and H. Prade, “Fuzzy rules in case-based reasoning,” in In Proceedings RàPC-1999, Raisonnement à partir de Cas, Paris Palaiseau, France, In Conferences AFIA-1999, 1999, pp. 45–54.

E. Hüllermeier, “Toward a probabilistic formalization of case-based inference,” in in Proceedings IJCAI-99, 16th international Joint Conference on Artificial Intelligence, Stockholm, Sweden, 1999, pp. 248–253.

E. Hüllermeier, “Exploiting similarity for supporting data analysis and problem solving,” in In Proceedings IDA-1999, 3th International Symposium on Intelligent Data Analysis, Amsterdam, Netherlands, 1999, vol. 1642, pp. 257–268.

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

E. Hüllermeier, “Toward models of case-based decision making,” in in Proceedings EUFIT-99 7th European Congress on Intelligent Techniques and Soft Computing, Aachen, Germany, 1999.

E. Hüllermeier, “A possibilistic formalization of case-based reasoning and decision making,” in in Proceedings of the 6th International Conference on Computational Intelligence, Dortmund, Germany, 1999, vol. 1625, pp. 411–420.

E. Hüllermeier, “Numerical methods for fuzzy initial value problems,” International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, vol. 7, no. 5, pp. 439–461, 1999.

E. Hüllermeier, “Approximation of uncertain funtional relationships,” Fuzzy Sets and Systems, vol. 101, no. 2, pp. 227–240, 1999.

E. Hüllermeier, “Qualitatives Schließen und Qualitative Simulation,” in Modellierung, Simulation und Künstliche Intelligenz, H. Szczerbicka and T. Uthmann, Eds. SCS Publishing House, Erlangen, 1999, pp. 277–310.

E. Hüllermeier and C. Giersch, “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, 1998, pp. 1857–1864.

E. Hüllermeier, “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, 1998, pp. 1296–1303.

E. Hüllermeier, “Numerical solutions for fuzzy initial value problems,” in in Proceedings CESA-98, IMACS Multiconference on Computaional Engineering in Systems Applications, Symposium on Applied Mathematics and Optimization, Nabeul-Hammamet, Tunesia, 1998.

E. Hüllermeier, “Case-based probality and case-based decision making,” in in Proceedings of the 6th German Workshop on Case-Based Reasoning, Berlin, Germany, 1998, pp. 13–22.

E. Hüllermeier, “Fuzzy dynamics of compartmental systems,” in in Proceedings EUFIT-98 6th European Congress on Intelligent Techniques and Soft Computing, Aachen, Germany, 1998.

E. Hüllermeier, “Hierarchical  propagation of uncertain constraints,” in in Proceedings EUFIT-97 5th European Congress on Intelligent Techniques and Soft Computing, Aachen, Germany, 1997, pp. 953–957.

E. Hüllermeier, “Approximation of fuzzy functions,” in in Proceedings 4.Internationaler Workshop Fuzzy-Neuro-Systeme. Soest Germany, 1997, pp. 374–381.

E. Hüllermeier, “Modellierung und Simulation unsicherer dynamischer Systeme und Anwendungen in der Diagnose,” in In Proceedings ASIM Fachgruppentagung Soft Computing, 1997.

E. Hüllermeier, “A new approach to modelling and simulation of uncertain dynamical systems,” International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, vol. 5, no. 2, pp. 117–137, 1997.

H. Kleine Büning and T. Lettmann, “Learning a representation for optimizable formulas,” in Lecture Notes in Computer Science, Berlin, Heidelberg, 1996.

E. Hüllermeier, “Approminate probabilistic reasoning with fuzzy constraints,” in in Proceedings EUFIT-96 4th European Congress on Intelligent Techniques and Soft Computing, Aachen, Germany, 1996.

E. Hüllermeier, “A fuzzy simulation method,” in International Symposium on Soft Computing, Reading U.K., 1996, pp. 0–6.

E. Hüllermeier, “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, pp. 54–55.

E. Hüllermeier, “Towards modelling of fuzzy functions,” in in Proceedings EUFIT-95 3rd European Congress on Intelligent Techniques and Soft Computing, Aachen, Germany, 1995, pp. 150–154.

E. Hüllermeier, “Rule-based modelling in fuzzy simulation,” in in Proceedings ISFL-95 International Symposium on Logic, Zürich, 1995, pp. –.

E. Hüllermeier, “Fuzzy polynomial and spline interpolation,” in in Proceedings IMACS Symposium on Systems Analysis and Simulation, Berlin, 1995, pp. 401–404.

E. Hüllermeier, “Konjunkturzyklen aufgrund von Investitionsinterdependenzen:  Simulation und empirische Überprüfung,” in Moderne Makroökonomie-Eine kritische Bestandsaufnahme, J. Flemmig, Ed. Metropolis, 1995, pp. 413–454.

E. Hüllermeier, “Approximate solution of a linear programming problem using a modified perceptron-algorithm.,” in in Proceedings EUFIT-94 2nd European Congress on Intelligent Techniques and Soft Computing, Aachen, Germany, 1994, pp. 195–199.

A. Flögel, H. Kleine Büning, and T. Lettmann, “On the restricted equivalence for subclasses of propositional logic,” RAIRO - Theoretical Informatics and Applications, pp. 327–340, 1993.

B. I. Dahn, T. Lettmann, and W. Schönfeld, ILFA Interface Concept, vol. 193. ´Heidelberg: Wissenschaftliche Zentrum der IBM Deutschland , 1991.

H. Kleine Büning, T. Lettmann, and E. W. Mayr, “Projections of vector addition system reachability sets are semilinear,” Theoretical Computer Science, pp. 343–350, 1989.

H. Kleine Büning and T. Lettmann, “Perspektiven für die Logikprogrammierung,” in Workshop Wissensrepräsentation in Expertensystemen, 1988, pp. 56–78.

H. K. Büning and T. Lettmann, “Representation independent query and update operations on propositional definite Horn formulas,” in Computation Theory and Logic, E. Börger, Ed. Berlin, Heidelberg, 1987, pp. 208–223.

H. Kleine Büning and T. Lettmann, “Classes of first order formulas under various satisfiability definitions,” in 8th International Conference on Automated Deduction, Berlin, Heidelberg, 1986.