@inproceedingsLabreuche_Hüllermeier_Vojtas_Fallah Tehrani_2016, title=On the identifiability of models  in multi-criteria preference learning, booktitle=in Proceedings DPL 2016 EURO Mini Conference From Multiple Criteria Decision Aid to Preference Learning, Paderborn Germany, author=Labreuche, C. and Hüllermeier, Eyke and Vojtas, P. and Fallah Tehrani, A., editor=Busa-Fekete, R. and Hüllermeier, Eyke and Mousseau, V. and Pfannschmidt, KarlsonEditors, year=2016 

@inproceedingsSchäfer_Hüllermeier_2016, title=Preference -based reinforcement learning using dyad ranking, booktitle=in Proceedings DPL16 Euro Mini Conference From Multiple Criteria Decision Aid to Preference Learning, Paderborn, Germany, author=Schäfer, D. and Hüllermeier, Eyke, editor=Busa-Fekete, R. and Hüllermeier, Eyke and Mousseau, V. and Pfannschmidt, KarlsonEditors, year=2016 

@inproceedingsCouso_Ahmadi Fahandar_Hüllermeier_2016, title=Statistical Inference for Incomplete Ranking Data: A Comparison of two likelihood-based estimators, booktitle=in Proceedings DPL 2016 EURO Mini Conference From Multiple Criteria Decision Aid to Preference Learning, Paderborn Germany, author=Couso, Ines and Ahmadi Fahandar, Mohsen and Hüllermeier, Eyke, editor=Busa-Fekete, R. and Hüllermeier, Eyke and Mousseau, V. and Pfannschmidt, KarlsonEditors, year=2016 

@inproceedingsLu_Hüllermeier_2016, title=Support vector classification on noisy data using fuzzy superset losses, booktitle=in Proceedings 26th Workshop Computational Intelligence, Dortmund Germany, publisher=KIT Scientific Publishing, author=Lu, S. and Hüllermeier, Eyke, editor=Hüllermeier, Eyke and Hoffmann, F. and Mikut, R.Editors, year=2016, pages=1–8 

@inproceedingsSchäfer_Hüllermeier_2016, title=Plackett-Luce networks for dyad ranking, booktitle=in Workshop LWDA “Lernen, Wissen, Daten, Analysen” Potsdam, Germany, author=Schäfer, D. and Hüllermeier, Eyke, year=2016 

@inproceedingsPfannschmidt_Hüllermeier_Held_Neiger_2016, title=Evaluating tests in medical  diagnosis-Combining machine learning with game-theoretical concepts, booktitle=In Proceedings IPMU 16th International Conference on Information Processing and Management  of Uncertainty in Knowledge-Based Systems, Part 1, Eindhoven, The Netherlands, publisher=Springer, author=Pfannschmidt, Karlson and Hüllermeier, Eyke and Held, S. and Neiger, R., year=2016, pages=450–461 

@articleLeinweber_Fober_Strickert_Baumgärtner_Klebe_Freisleben_Hüllermeier_2016, title=CavSimBase: A database for large scale comparison of protein binding sites, volume=28, number=6, journal=IEEE Transactions on Knowledge and Data Engineering, author=Leinweber, M. and Fober, T. and Strickert, M. and Baumgärtner, L. and Klebe, G. and Freisleben, B. and Hüllermeier, Eyke, year=2016, pages=1423–1434 

@bookMohr_2016, title=Towards Automated Service Composition Under Quality Constraints, DOI=10.17619/UNIPB/1-171, publisher=Universität Paderborn, author=Mohr, Felix, year=2016 

@inbookFürnkranz_Hüllermeier_2016, title=Preference Learning, booktitle=Encyclopedia of Machine Learning and Data Mining, publisher=Springer, author=Fürnkranz, J. and Hüllermeier, Eyke, editor=Sammut, C. and Webb, G.I.Editors, year=2016 

@bookHoffmann_Hüllermeier_Mikut_2016, title= Proceedings 26. Workshop Computational Intelligence KIT Scientific Publishing, Karlsruhe, Germany, year=2016 

@inproceedingsJasinska_Dembczynski_Busa-Fekete_Klerx_Hüllermeier_2016, title=Extreme F-measure maximization using sparse probability estimates , booktitle=Proceedings ICML-2016, 33th International Conference on Machine Learning, New York, USA, author=Jasinska, K. and Dembczynski, K. and Busa-Fekete, Robert and Klerx, Timo and Hüllermeier, Eyke, editor=Balcan, M.F. and Weinberger, K.Q.Editors, year=2016 

@inproceedingsMelnikov_Hüllermeier_2016, title=Learning to aggregate using uninorms,  in Proceedings ECML/PKDD-2016, booktitle=European Conference on Machine Learning and Knowledge Discovery in Databases, Part II, Riva del Garda, Italy, author=Melnikov, Vitaly and Hüllermeier, Eyke, year=2016, pages=756–771 

@inproceedingsDembczynski_Kotlowski_Waegeman_Busa-Fekete_Hüllermeier_2016, title=Consistency of probalistic classifier trees, booktitle=In Proceedings ECML/PKDD European Conference on Maschine Learning and Knowledge Discovery in Databases, Part II, Riva del Garda, Italy, author=Dembczynski, K. and Kotlowski, W. and Waegeman, W. and Busa-Fekete, Robert and Hüllermeier, Eyke, year=2016, pages=511–526 

@inproceedingsShabani_Paul_Platon_Hüllermeier_2016, title=Predicting the electricity consumption of buildings: An improved CBR approach, booktitle=In Proceedings ICCBR, 24th International Conference on Case-Based Reasoning, Atlanta, GA, USA, author=Shabani, Aulon and Paul, Adil and Platon, R. and Hüllermeier, Eyke, year=2016, pages=356–369 

@inproceedingsPfannschmidt_Hüllermeier_Held_Neiger_2016, title=Evaluating tests in medical  diagnosis-Combining machine learning with game-theoretical concepts, booktitle=In Proceedings IPMU 16th International Conference on Information Processing and Management  of Uncertainty in Knowledge-Based Systems, Part 1, Eindhoven, The Netherlands, publisher=Springer, author=Pfannschmidt, Karlson and Hüllermeier, Eyke and Held, S. and Neiger, R., year=2016, pages=450–461 

@inproceedingsLabreuche_Hüllermeier_Vojtas_Fallah Tehrani_2016, title=On the Identifiability of models in multi-criteria preference learning , booktitle=Proceedings DPL ´2016, Euro Mini Conference from Multiple Criteria Decision Aid to Preference Learning, author=Labreuche, C. and Hüllermeier, Eyke and Vojtas, P. and Fallah Tehrani, A., editor=Busa-Fekete, Robert and Hüllermeier, Eyke and Mousseau, V. and Pfannschmidt, KarlsonEditors, year=2016 

@inproceedingsSchäfer_Hüllermeier_2016, title=Preference-Based Reinforcement Learning Using Dyad Ranking, booktitle=Proceedings DPL ´2016, Euro Mini Conference from Multiple Criteria Decision Aid to Preference Learning, author=Schäfer, Dirk and Hüllermeier, Eyke, editor=Busa-Fekete, Robert and Hüllermeier, Eyke and Mousseau, V. and Pfannschmidt, KarlsonEditors, year=2016 

@inproceedingsCouso_Ahmadi Fahandar_Hüllermeier_2016, title=Statistical Inference for Incomplete Ranking Data: A Comparison of two likelihood-based estimators, booktitle=Proceedings DPL ´2016, Euro Mini Conference from Multiple Criteria Decision Aid to Preference Learning, author=Couso, Ines and Ahmadi Fahandar, Mohsen and Hüllermeier, Eyke, editor=Busa-Fekete, Robert and Hüllermeier, Eyke and Mousseau, V. and Pfannschmidt, KarlsonEditors, year=2016 

@inproceedingsLu_Hüllermeier_2016, title=Support vector classification on noisy data using fuzzy supersets losses, booktitle=Proceedings 26. Workshop Computational Intelligence, KIT Scientific Publishing, author=Lu, S. and Hüllermeier, Eyke, editor=Hoffmann, F. and Hüllermeier, Eyke and Mikut, R.Editors, year=2016, pages=1–8 

@inproceedingsSchäfer_Hüllermeier_2016, title=Plackett-Luce networks for dyad ranking, booktitle=In Workshop LWDA “Lernen, Wissen, Daten, Analysen”, author=Schäfer, Dirk and Hüllermeier, Eyke, year=2016 

@bookKaminka_Fox_Bouquet_Hüllermeier_Dignum_Dignum_van Harmelen_2016, place=The Hague, The Netherlands, series=Frontiers in Artificial Intelligence and Applications, The Hague, The Netherlands, title=ECAI 2016, 22nd European Conference on Artificial Intelligence, including PAIS 2016, Prestigious Applications of Artificial Intelligence, volume=285, publisher=IOS Press, year=2016, collection=Frontiers in Artificial Intelligence and Applications, The Hague, The Netherlands 

@articleLeinweber_Fober_Strickert_Baumgärtner_Klebe_Freisleben_Hüllermeier_2016, title=CavSimBase: A database for large scale comparison of protein binding sites, volume=28, number=6, journal=IEEE Transactions on Knowledge and Data Engineering, author=Leinweber, M. and Fober, T. and Strickert, M. and Baumgärtner, L. and Klebe, G. and Freisleben, B. and Hüllermeier, Eyke, year=2016, pages=1423–1434 

@articleRiemenschneider_Senge_Neumann_Hüllermeier_Heider_2016, title=Exploiting HIV-1 protease and reverse transcriptase cross-resistance information for improved drug resistance prediction by means of multi-label classification, volume=9, number=10, journal=BioData Mining, author=Riemenschneider, M. and Senge, Robin and Neumann, U. and Hüllermeier, Eyke and Heider, D., year=2016 

@inproceedingsArifulina_Platenius_Mohr_Engels_Schäfer_2015, title=Market-Specific Service Compositions: Specification and Matching, DOI=10.1109/SERVICES.2015.58, booktitle=Proceedings of the IEEE 11th World Congress on Services (SERVICES), Visionary Track: Service Composition for the Future Internet, author=Arifulina, Svetlana and Platenius, Marie Christin and Mohr, Felix and Engels, Gregor and Schäfer, Wilhelm, year=2015, pages=333--340 

@articleJungmann_Mohr_2015, title=An approach towards adaptive service composition in markets of composed services, DOI=10.1186/s13174-015-0022-8, number=1, journal=Journal of Internet Services and Applications, publisher=Springer, author=Jungmann, Alexander and Mohr, Felix, year=2015, pages=1–18 

@inproceedingsMohr_2015, series=LNCS, title=A Metric for Functional Reusability of Services, DOI=10.1007/978-3-319-14130-5_21, booktitle=Proceedings of the 14th International Conference on Software Reuse (ICSR), author=Mohr, Felix, year=2015, pages=298--313, collection=LNCS 

@inproceedingsMohr_Jungmann_Kleine Büning_2015, title=Automated Online Service Composition, DOI=10.1109/SCC.2015.18, booktitle=Proceedings of the 12th IEEE International Conference on Services Computing (SCC), author=Mohr, Felix and Jungmann, Alexander and Kleine Büning, Hans, year=2015, pages=57--64 

@articleSenge_Hüllermeier_2015, title=Fast Fuzzy Pattern Tree Learning for Classification, volume=23, DOI=10.1109/tfuzz.2015.2396078, number=6, journal=IEEE Transactions on Fuzzy Systems, publisher=Institute of Electrical and Electronics Engineers (IEEE), author=Senge, Robin and Hüllermeier, Eyke, year=2015, pages=2024–2033 

@inproceedingsSchäfer_Hüllermeier_2015, title=Preference-based meta-learning using dyad ranking: Recommending algorithms in cold-start situations, booktitle=in Proceedings of the 2015 international Workshop on Meta-Learning and Algorithm Selection co-located ECML/PKDD, Porto, Portugal, author=Schäfer, D. and Hüllermeier, Eyke, year=2015, pages=110–111 

@inproceedingsPaul_Hüllermeier_2015, title=A cbr approach to the angry birds game, booktitle=In Workshop Proceedings from ICCBR, 23rd International Conference on Case-Based Reasoning, Frankfurt, Germany, author=Paul, Adil and Hüllermeier, Eyke, year=2015, pages=68–77 

@inproceedingsEwerth_Balz_Gehlhaar_Dembczynski_Hüllermeier_2015, title=Depth estimation in monocular images: Quantitative versus qualitative approaches, booktitle=In Proceedings 25. Workshop Computational Intelligence, Dortmund, Germany, publisher=KIT Scientific Publishing, author=Ewerth, R. and Balz, A. and Gehlhaar, J. and Dembczynski, K. and Hüllermeier, Eyke, editor=Hoffmann, F. and Hüllermeier, EykeEditors, year=2015, pages=235–240 

@inproceedingsLu_Hüllermeier_2015, title=Locally weighted regression through data imprecisiation, booktitle=in Proceedings 25th Workshop Computational Intelligence, Dortmund Germany, publisher=KIT Scientific Publishing, author=Lu, S. and Hüllermeier, Eyke, editor=Hoffmann, F. and Hüllermeier, EykeEditors, year=2015, pages=97–104 

@articleSenge_Hüllermeier_2015, title=Fast fuzzy pattern tree learning for classification , volume=23, number=6, journal=IEEE Transactions on Fuzzy Systems, author=Senge, Robin and Hüllermeier, Eyke, year=2015, pages=2024–2033 

@articleHüllermeier_2015, title=From knowledge-based to data driven fuzzy modeling: Development, criticism and alternative directions, volume=38, number=6, journal=Informatik Spektrum, author=Hüllermeier, Eyke, year=2015, pages=500–509 

@articleHüllermeier_2015, title=Does machine learning need fuzzy logic?, volume=281, journal=Fuzzy Sets and Systems, author=Hüllermeier, Eyke, year=2015, pages=292–299 

@articleWaegeman_Dembczynski_Jachnik_Cheng_Hüllermeier_2015, title=On the Bayes-optimality of F-measure maximizers, volume=15, journal=Journal of Machine Learning Research, author=Waegeman, W. and Dembczynski, K. and Jachnik, A. and Cheng, W. and Hüllermeier, Eyke, year=2015, pages=3313–3368 

@articleShaker_Hüllermeier_2015, title=Recovery analysis for adaptive learning from non-stationary data streams: Experimental design and case study, volume=150, journal=Neurocomputing, author=Shaker, A. and Hüllermeier, Eyke, year=2015, pages=250–264 

@inproceedingsHüllermeier_Minor_2015, title=Case-Based Reasoning Research and Development , booktitle=in Proceedings 23rd International Conference on Case-Based Reasoning (ICCBR 2015) LNAI 9343, publisher=Springer, author=Hüllermeier, Eyke and Minor, M., year=2015 

@inproceedingsHoffmann_Hüllermeier_2015, title=Proceedings 25. Workshop Computational Intelligence KIT Scientific Publishing, author=Hoffmann, F. and Hüllermeier, Eyke, year=2015 

@inproceedingsAbdel-Aziz_Hüllermeier_2015, title=Case Base Maintenance in Preference-Based CBR, booktitle=In Proceedings 23rd International Conference on Case-Based Reasoning (ICCBR 2015), author=Abdel-Aziz, A. and Hüllermeier, Eyke, year=2015, pages=1–14 

@inproceedingsSzörényi_Busa-Fekete_Weng_Hüllermeier_2015, title=Qualitative Multi-Armed Bandits: A Quantile-Based Approach, booktitle=In Proceedings International Conference on Machine Learning (ICML 2015), author=Szörényi, B. and Busa-Fekete, Robert and Weng, P. and Hüllermeier, Eyke, year=2015, pages=1660–1668 

@inproceedingsSchäfer_Hüllermeier_2015, title=Dyad Ranking Using A Bilinear Plackett-Luce Model, booktitle=in Proceedings European Conference on Machine Learning and Knowledge Discovery in Databases (ECML/PKDD), author=Schäfer, Dirk and Hüllermeier, Eyke, year=2015, pages=227–242 

@inproceedingsHüllermeier_Cheng_2015, title=Superset Learning Based on Generalized Loss Minimization , booktitle=in Proceedings European Conference on Machine Learning and Knowledge Discovery in Databases (ECML/PKDD), author=Hüllermeier, Eyke and Cheng, W., year=2015, pages=260–275 

@inproceedingsHenzgen_Hüllermeier_2015, title=Weighted Rank Correlationf: A Flexible Approach Based on Fuzzy Order Relations, booktitle=in Proceedings European Conference on Machine Learning and Knowledge Discovery in Databases (ECML/PKDD), author=Henzgen, Sascha and Hüllermeier, Eyke, year=2015, pages=422–437 

@inproceedingsSzörényi_Busa-Fekete_Paul_Hüllermeier_2015, title=Online Rank Elicitation for Plackett-Luce: A Dueling Bandits Approach, booktitle=in Advances in Neural Information Processing Systems 28 (NIPS 2015), author=Szörényi, B. and Busa-Fekete, Robert and Paul, Adil and Hüllermeier, Eyke, year=2015, pages=604–612 

@inproceedingsSzörényi_Busa-Fekete_Dembczynski_Hüllermeier_2015, title=Online F-Measure Optimization, booktitle=in Advances in Neural Information Processing Systems 28 (NIPS 2015), author=Szörényi, B. and Busa-Fekete, Robert and Dembczynski, K. and Hüllermeier, Eyke, year=2015, pages=595–603 

@inproceedingsEl Mesaoudi-Paul_Hüllermeier_2015, title=A CBR Approach to the Angry Birds Game, booktitle=in Workshop Proc. 23rd International Conference on Case-Based Reasoning (ICCBR 2015), author=El Mesaoudi-Paul, Adil and Hüllermeier, Eyke, year=2015, pages=68–77 

@inproceedingsSchäfer_Hüllermeier_2015, title=Preference-Based Meta- Learning Using Dyad Ranking: Recommending Algorithms in Cold-Start Situations, booktitle=in Proceedings of the 2015 International Workshop on Meta-Learning and Algorithm Selection (MetaSel@PKDD/ECML), author=Schäfer, Dirk and Hüllermeier, Eyke, year=2015, pages=110–111 

@inproceedingsLu_Hüllermeier_2015, title=Locally weighted regression through data imprecisiation, booktitle=Proceedings 25. Workshop Computational Intelligence, author=Lu, S. and Hüllermeier, Eyke, year=2015, pages=97–104 

@inproceedingsEwerth_Balz_Gehlhaar_Dembczynski_Hüllermeier_2015, title=Depth estimation in monocular images: Quantitative versus qualitative approaches, booktitle=Proceedings 25. Workshop Computational Intelligence, author=Ewerth, Ralph and Balz, A. and Gehlhaar, J. and Dembczynski, K. and Hüllermeier, Eyke, year=2015, pages=235–240