@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 

@articleWaegeman_Dembczynski_Jachnik_Cheng_Hüllermeier_2015, title=On the Bayes-Optimality of F-Measure Maximizers, volume=15, journal=in Journal of Machine Learning Research, author=Waegeman, W. and Dembczynski, K. and Jachnik, A. and Cheng, W. and Hüllermeier, Eyke, year=2015, pages=3333–3388 

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

@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, Ammar and Hüllermeier, Eyke, year=2015, pages=250–264 

@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 

@articleGarcia-Jimenez_Bustince_Hüllermeier_Mesiar_Pal_Pradera_2015, title=Overlap Indices: Construction of and Application of Interpolative Fuzzy Systems, volume=23, number=4, journal=IEEE Transactions on Fuzzy Systems, author=Garcia-Jimenez, S. and Bustince, U. and Hüllermeier, Eyke and Mesiar, R. and Pal, N.R. and Pradera, A., year=2015, pages=1259–1273 

@articleSenge_Hüllermeier_2015, title=Fast Fuzzy Pattern Tree Learning of Classification, volume=23, number=6, journal=IEEE Transactions on Fuzzy Systems, author=Senge, Robin and Hüllermeier, Eyke, year=2015, pages=2024–2033 

@articleBasavaraju_Chandran_Rajendraprasad_Ramaswamy_2014, title=Rainbow connection number of graph power and graph products, volume=30, number=6, journal=Graphs and Combinatorics, publisher=Springer, author=Basavaraju, Manu and Chandran, L Sunil and Rajendraprasad, Deepak and Ramaswamy, Arunselvan, year=2014, pages=1363–1382 

@articleBasavaraju_Chandran_Rajendraprasad_Ramaswamy_2014, title=Rainbow connection number and radius, volume=30, number=2, journal=Graphs and Combinatorics, publisher=Springer, author=Basavaraju, Manu and Chandran, L Sunil and Rajendraprasad, Deepak and Ramaswamy, Arunselvan, year=2014, pages=275–285 

@inproceedingsMohr_Walther_2014, series=LNCS, title=Template-based Generation of Semantic Services, DOI=10.1007/978-3-319-14130-5_14, booktitle=Proceedings of the 14th International Conference on Software Reuse (ICSR), author=Mohr, Felix and Walther, Sven, year=2014, pages=188–203, collection=LNCS 

@inproceedingsJungmann_Mohr_Kleinjohann_2014, title=Combining Automatic Service Composition with Adaptive Service Recommendation for Dynamic Markets of Services, DOI=10.1109/SERVICES.2014.68, booktitle=Proceedings of the 10th World Congress on Services (SERVICES), author=Jungmann, Alexander and Mohr, Felix and Kleinjohann, Bernd, year=2014, pages=346–353 

@inproceedingsJungmann_Mohr_Kleinjohann_2014, title=Applying Reinforcement Learning for Resolving Ambiguity in Service Composition, DOI=10.1109/SOCA.2014.48, booktitle=Proceedings of the 7th International Conference on Service Oriented Computing and Applications (SOCA), author=Jungmann, Alexander and Mohr, Felix and Kleinjohann, Bernd , year=2014, pages=105–112 

@inproceedingsMohr_2014, series=LNCS, title=Estimating Functional Reusability of Services, booktitle=Proceedings of the 12th International Conference on Service Oriented Computing (ICSOC), author=Mohr, Felix, year=2014, pages=411–418, collection=LNCS 

@articleAgarwal_Fallah Tehrani_Hüllermeier_2014, title=Preference-based learning of ideal solutions in TOPSIS-like decision models, volume=22, number=3–4, journal=Journal of Multi-Criteria Decision Analysis, author=Agarwal, M. and Fallah Tehrani, A. and Hüllermeier, Eyke, year=2014 

@articleKrotzky_Fober_Hüllermeier_Klebe_2014, title=Extended graph-based models for enhanced similarity search in Cabase, volume=11, number=5, journal=IEEE/ACM Transactions of Computational Biology and Bioinformatics, author=Krotzky, T. and Fober, T. and Hüllermeier, Eyke and Klebe, G., year=2014, pages=878–890 

@articleHüllermeier_2014, title=Learning from imprecise and fuzzy observations: Data disambiguation through generalized loss minimization, volume=55, number=7, journal=International Journal of Approximate Reasoning, author=Hüllermeier, Eyke, year=2014, pages=1519–1534 

@articleHenzgen_Strickert_Hüllermeier_2014, title=Visualization of evolving fuzzy-rule-based systems, volume=5, journal=Evolving Systems, author=Henzgen, Sascha and Strickert, M. and Hüllermeier, Eyke, year=2014, pages=175–191 

@articleBusa-Fekete_Szörenyi_Weng_Cheng_Hüllermeier_2014, title=Preference-based reinforcement learning: evolutionary direct policy search using a preference-based racing algorithm., volume=97, number=3, journal=Machine Learning, author=Busa-Fekete, Robert and Szörenyi, B. and Weng, P. and Cheng, W. and Hüllermeier, Eyke, year=2014, pages=327–351 

@articleKrempl_Zliobaite_Brzezinski_Hüllermeier_Last_Lemaire_Noack_Shaker_Sievi_Spiliopoulou_et al._2014, title=Open challenges for data stream mining research, volume=16, number=1, journal=SIGKDD Explorations, author=Krempl, G. and Zliobaite, I. and Brzezinski, D. and Hüllermeier, Eyke and Last, M. and Lemaire, V. and Noack, T. and Shaker, A. and Sievi, S. and Spiliopoulou, M. and et al., year=2014, pages=1–10 

@articleStrickert_Bunte_Schleif_Hüllermeier_2014, title=Correlation-based embedding of pairwise score data, volume=141, journal=Neurocomputing, author=Strickert, M. and Bunte, K. and Schleif, F.M. and Hüllermeier, Eyke, year=2014, pages=97–109 

@articleShaker_Hüllermeier_2014, title=Survival analysis on data streams: Analyzing temporal events in dynamically changing environments, volume=24, number=1, journal=International Journal of Applied Mathematics and Computer Science, author=Shaker, Ammar and Hüllermeier, Eyke, year=2014, pages=199–212 

@articleSenge_Bösner_Dembczynski_Haasenritter_Hirsch_Donner-Banzhoff_Hüllermeier_2014, title=Reliable classification: Learning classifiers that distinguish aleatoric and epistemic uncertainty, volume=255, journal=Information Sciences, author=Senge, Robin and Bösner, S. and Dembczynski, K. and Haasenritter, J. and Hirsch, O. and Donner-Banzhoff, N. and Hüllermeier, Eyke, year=2014, pages=16–29 

@articleDonner-Banzhoff_Haasenritter_Hüllermeier_Viniol_Bösner_Becker_2014, title=The comprehensive diagnostic study is suggested as a design to model the diagnostic process, volume=2, number=67, journal=Journal of Clinical Epidemiology, author=Donner-Banzhoff, N. and Haasenritter, J. and Hüllermeier, Eyke and Viniol, A. and Bösner, S. and Becker, A., year=2014, pages=124–132 

@inproceedingsBusa-Fekete_Szörényi_Hüllermeier_2014, title=PAC Rank Elicitation through Adaptive Sampling of Stochastic Pairwise Preferences, booktitle=Proceedings AAAI 2014, Quebec, Canada, author=Busa-Fekete, Robert and Szörényi, B. and Hüllermeier, Eyke, year=2014, pages=1701–1707 

@inproceedingsBusa-Fekete_Hüllermeier_2014, title=A Survey of Preference-Based Online Learning with Bandit Algorithms, booktitle=Proceedings Int. Conf. on Algorithmic Learning Theory (ALT), Bled, Slovenia, author=Busa-Fekete, Robert and Hüllermeier, Eyke, year=2014, pages=18–39 

@inproceedingsHenzgen_Hüllermeier_2014, title=Mining Rank Data, booktitle=Proceedings Discovery Science, Bled,Slovenia , author=Henzgen, Sascha and Hüllermeier, Eyke, year=2014, pages=123–134 

@inproceedingsFallah Tehrani_Strickert_Hüllermeier_2014, title=The Choquet kernel for monotone data, booktitle=Proceedings ESANN , Bruges, Belgium, author=Fallah Tehrani, A. and Strickert, M. and Hüllermeier, Eyke, year=2014 

@inproceedingsAbdel-Aziz_Strickert_Hüllermeier_2014, title=Learning Solution Similarity in Preference-Based CBR, booktitle=Proceedings Int. Conf. Case-Based Reasoning (ICCBR), Cork, Ireland, author=Abdel-Aziz, A. and Strickert, M. and Hüllermeier, Eyke, year=2014, pages=17–31 

@inproceedingsSchäfer_Hüllermeier_2014, title=Dyad Ranking Using A Bilinear Plackett-Luce Model, booktitle=Proceedings Lernen-Wissensentdeckung-Adaptivität (LWA), Aachen, Germany, author=Schäfer, Dirk and Hüllermeier, Eyke, year=2014, pages=32–33 

@inproceedingsCalders_Esposito_Hüllermeier_Meo_2014, title=Machine Learning and Knowledge Discovery in Databases-European Conf. ECML/PKDD, Nancy, France, booktitle=Proceedings, Parts I-III. Lecture Notes in Computer Science, publisher=Springer, author=Calders, T. and Esposito, F. and Hüllermeier, Eyke and Meo, R., year=2014, pages=8724–8726 

@inproceedingsFürnkranz_Hüllermeier_Rudin_Slowinski_Sanner_2014, title=Preference Learning (Dagstuhl Seminar 14101) Dagstuhl Reports, volume=4, number=3, author=Fürnkranz, J. and Hüllermeier, Eyke and Rudin, Cynthia and Slowinski, Roman and Sanner, Scott, year=2014, pages=1–27 

@articleShaker_Hüllermeier_2014, title=Survival analysis on data streams: Analyzing temporal events in dynamically changing environments, volume=24, number=1, journal=Applied Mathematics and Computer Science, author=Shaker, Ammar and Hüllermeier, Eyke, year=2014, pages=199–212 

@articleHoffmann_Hüllermeier_Kroll_2014, title=Ausgewählte Beiträge des GMA-Fachausschusses 5.14, volume=62, number=10, journal=Computational Intelligence Automatisierungstechnik, author=Hoffmann, F. and Hüllermeier, Eyke and Kroll, A., year=2014, pages=685–686 

@articleCalders_Esposito_Hüllermeier_Meo_2014, title=Guest editors`introduction:special issue of the ECML/PKDD 2014 journal track, volume=28, number=5–6, journal=Data Min. Knowledge Discovery, author=Calders, T. and Esposito, F. and Hüllermeier, Eyke and Meo, R., year=2014, pages=1129–1133 

@articleHenzgen_Strickert_Hüllermeier_2014, title=Visualization of evolving fuzzy rule-based systems, volume=5, number=3, journal=Evolving Systems, author=Henzgen, Sascha and Strickert, M. and Hüllermeier, Eyke, year=2014, pages=175–191 

@articleHüllermeier_2014, title=Learning from imprecise and fuzzy observations: Data disambiguation through generalized loss minimization, volume=55, number=7, journal=Int. J. Approx. Reasoning, author=Hüllermeier, Eyke, year=2014, pages=1519–1534 

@articleHüllermeier_2014, title=Rejoinder on "Learning from imprecise and fuzzy observations: Data disambiguation through generalized loss minimization, volume=55, number=7, journal=Int. J. Approx. Reasoning, author=Hüllermeier, Eyke, year=2014, pages=1609–1613 

@articleStrickert_Bunte_Schleif_Hüllermeier_2014, title=Correlation-based embedding of pairwise score data, volume=141, journal=Neurocomputing, author=Strickert, M. and Bunte, K. and Schleif, F.- M. and Hüllermeier, Eyke, year=2014, pages=97–109 

@articleSenge_Bösner_Dembczynski_Haasenritter_Hirsch_Donner-Banzhoff_Hüllermeier_2014, title=Reliable classification: Learning classifiers that distinguish aleatoric and epistemic uncertainty, volume=255, journal=Information Sciences, author=Senge, Robin and Bösner, S. and Dembczynski, K. and Haasenritter, J. and Hirsch, O. and Donner-Banzhoff, N. and Hüllermeier, Eyke, year=2014, pages=16–29 

@articleMernberger_Moog_Stork_Zauner_Maier_Hüllermeier_2014, title=Protein Sub-Cellular Localization Prediction for Special compartments via Optimized Time Series Distances, volume=12, number=1, journal=J. Bioinformatics and Computational Biology, author=Mernberger, M. and Moog, M. and Stork, S. and Zauner, S. and Maier, U.G. and Hüllermeier, Eyke, year=2014 

@articleCalders_Esposito_Hüllermeier_Meo_2014, title=Guest editors`introduction:special issue of the ECML/PKDD 2014 journal track, volume=97, number=1–2, journal=Machine Learning, author=Calders, T. and Esposito, F. and Hüllermeier, Eyke and Meo, R., year=2014, pages=1–3 

@articleBusa-Fekete_Szörényi_Weng_Cheng_Hüllermeier_2014, title=Preference-Based Reinforcement Learning: evolutionary direct policy search using a preference-based racing algorithm, volume=97, number=3, journal=Machine Learning, author=Busa-Fekete, Robert and Szörényi, B. and Weng, P. and Cheng, W. and Hüllermeier, Eyke, year=2014, pages=327–351 

@articleMontanés_Senge_Barranquero_Quevedo_Del Coz_Hüllermeier_2014, title=Dependent binary relevance models for multi-label classification, volume=47, number=3, journal=Pattern Recognition, author=Montanés, E. and Senge, Robin and Barranquero, J. and Quevedo, J.R. and Del Coz, J.J. and Hüllermeier, Eyke, year=2014, pages=1494–1508 

@articleKrempl_Zliobaite_Brzezinski_Hüllermeier_Last_Lemaire_Noack_Shaker_Sievi_Spiliopoulou_et al._2014, title=Open challenges for data stream mining research, volume=16, number=1, journal=SIGKDD Explorations, author=Krempl, G. and Zliobaite, I. and Brzezinski, D. and Hüllermeier, Eyke and Last, M. and Lemaire, V. and Noack, T. and Shaker, Ammar and Sievi, S. and Spiliopoulou, M. and et al., year=2014, pages=1–10 

@articleKrotzky_Fober_Hüllermeier_Klebe_2014, title=Extended Graph-Based Models for Enhanced Similarity Search in Cavbase, volume=11, number=5, journal=IEEE/ACM Trans. Comput. Biology Bioinform., author=Krotzky, T. and Fober, T. and Hüllermeier, Eyke and Klebe, G., year=2014, pages=878–890 

@articleStock_Fober_Hüllermeier_Glinca_Klebe_Pahikkala_Airola_De Baets_Wageman_2014, title=Identification of Functionally Releated Enzymes by Learning to Rank Methods, volume=11, number=6, journal=IEEE/ACM Trans. Comput. Biology Bioinform., author=Stock, M. and Fober, T. and Hüllermeier, Eyke and Glinca, S and Klebe, G. and Pahikkala, T. and Airola, A. and De Baets, B. and Wageman, W., year=2014, pages=1157–1169 

@inproceedingsMohr_Kleine Büning_2013, title=Semi-Automated Software Composition Through Generated Components, DOI=10.1145/2539150.2539235, booktitle=Proceedings of the 15th International Conference on Information Integration and Web-based Applications &; Services (iiWAS), author=Mohr, Felix and Kleine Büning, Hans, year=2013, pages=676–680 

@inproceedingsMohr_Lettmann_Kleine Büning_2013, title=Reducing Nondeterminism in Automated Service Composition, DOI=10.1109/SOCA.2013.25, booktitle=Proceedings of the 6th International Conference on Service Oriented Computing and Applications (SOCA), author=Mohr, Felix and Lettmann, Theodor and Kleine Büning, Hans, year=2013, pages=154–161 

@inproceedingsCheng_Henzgen_Hüllermeier_2013, title=Labelwise versus pairwise decomposition in label ranking, booktitle=In Proceedings Workshop LWA-2009, Lernen-Wissensentdeckung-Adaptivität, Bamberg, Germany, author=Cheng, W. and Henzgen, S. and Hüllermeier, Eyke, year=2013, pages=129–136 

@inproceedingsSenge_del Coz_Hüllermeier_2013, title=Rectifying classifier chains for multi-label classification, Bamberg, Germany, booktitle=In Proceedings Workshop LWA-2009, Lernen-Wissensentdeckung-Adaptivität, Bamberg, Germany, author=Senge, Robin and del Coz, J. and Hüllermeier, Eyke, year=2013, pages=151–158 

@inproceedingsBusa-Fekete_Fober_Hüllermeier_2013, title=Preference-based evolutionary optimization using generalized racing algorithms, booktitle=in Proceedings 23th Workshop Computational Intelligence, Dortmund Germany, publisher=KIT Scientific Publishing, author=Busa-Fekete, Robert and Fober, T. and Hüllermeier, Eyke, editor=Hoffmann, F. and Hüllermeier, EykeEditors, year=2013, pages=237–246