@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