@inproceedingsWever_Mohr_Hüllermeier_2018, place=Kyoto, Japan, title=Ensembles of Evolved Nested Dichotomies for Classification, DOI=10.1145/3205455.3205562, booktitle=Proceedings of the Genetic and Evolutionary Computation Conference, GECCO 2018, Kyoto, Japan, July 15-19, 2018, publisher=ACM, author=Wever, Marcel Dominik and Mohr, Felix and Hüllermeier, Eyke, year=2018 

@articleWever_Mohr_Hüllermeier_2018, title=Automated Multi-Label Classification based on ML-Plan, publisher=Arxiv, author=Wever, Marcel Dominik and Mohr, Felix and Hüllermeier, Eyke, year=2018 

@articleMohr_Wever_Hüllermeier_2018, title=Automated machine learning service composition, author=Mohr, Felix and Wever, Marcel Dominik and Hüllermeier, Eyke, year=2018 

@bookGraf_2018, title=Ranking of Classification Algorithms in AutoML, publisher=Universität Paderborn, author=Graf, Helena, year=2018 

@bookScheibl_2018, title=Learning about learning curves from dataset properties, publisher=Universität Paderborn, author=Scheibl, Manuel, year=2018 

@inbookSchäfer_Hüllermeier_2018, place=Cham, title=Preference-Based Reinforcement Learning Using Dyad Ranking, DOI=10.1007/978-3-030-01771-2_11, booktitle=Discovery Science, publisher=Springer International Publishing, author=Schäfer, Dirk and Hüllermeier, Eyke, year=2018, pages=161–175 

@bookAbiteboul_Arenas_Barceló_Bienvenu_Calvanese_David_Hull_Hüllermeier_Kimelfeld_Libkin_et al._2018, title=Research Directions for Principles of Data Management, volume=7, number=1, year=2018, pages=1–29 

@inbookCouso_Hüllermeier_2018, title=Statistical Inference for Incomplete Ranking Data: A Comparison of two likelihood-based estimators, booktitle=Frontiers in Computational Intelligence, publisher=Springer, author=Couso, Ines and Hüllermeier, Eyke, editor=Mostaghim, Sanaz and Nürnberger, Andreas and Borgelt, ChristianEditors, year=2018, pages=31–46 

@articleSchäfer_Hüllermeier_2018, title=Dyad ranking using Plackett-Luce models based on joint feature representations, volume=107, number=5, journal=Machine Learning, author=Schäfer, D. and Hüllermeier, Eyke, year=2018, pages=903–941 

@inproceedingsAhmadi Fahandar_Hüllermeier_2018, title=Learning to Rank Based on Analogical Reasoning, booktitle=Proc. 32 nd AAAI Conference on Artificial Intelligence (AAAI), author=Ahmadi Fahandar, Mohsen and Hüllermeier, Eyke, year=2018, pages=2951–2958 

@inproceedingsEl Mesaoudi-Paul_Hüllermeier_Busa-Fekete_2018, series=Verlagsschriftenreihe des Heinz Nixdorf Instituts, Paderborn, title=Ranking Distributions based on Noisy Sorting, booktitle=Proc. 35th Int. Conference on Machine Learning (ICML), publisher=Verlagsschriftenreihe des Heinz Nixdorf Instituts, Paderborn, author=El Mesaoudi-Paul, Adil and Hüllermeier, Eyke and Busa-Fekete, Robert, year=2018, pages=3469–3477, collection=Verlagsschriftenreihe des Heinz Nixdorf Instituts, Paderborn 

@inproceedingsHesse_Timmermann_Hüllermeier_Trächtler_2018, title=A Reinforcement Learning Strategy for the Swing-Up of the Double Pendulum on a Cart, booktitle=Proc. 4th Int. Conference on System-Integrated Intelligence: Intelligent, Flexible and Connected Systems in Products and Production, Procedia Manufacturing 24, author=Hesse, M. and Timmermann, J. and Hüllermeier, Eyke and Trächtler, Ansgar, year=2018, pages=15–20 

@inbookMencia_Fürnkranz_Hüllermeier_Rapp_2018, series=The Springer Series on Challenges in Machine Learning, title=Learning interpretable rules for multi-label classification, booktitle=Explainable and Interpretable Models in Computer Vision and Machine Learning, publisher=Springer, author=Mencia, E.Loza and Fürnkranz, J. and Hüllermeier, Eyke and Rapp, M., editor=Jair Escalante, H. and Escalera, S. and Guyon, I. and Baro, X. and Güclüütürk, Y. and Güclü, U. and van Gerven, M.A.J.Editors, year=2018, pages=81–113, collection=The Springer Series on Challenges in Machine Learning 

@inproceedingsNguyen_Destercke_Masson_Hüllermeier_2018, title=Reliable Multi-class Classification based on Pairwise Epistemic and Aleatoric Uncertainty, booktitle=Proc. 27th Int.Joint Conference on Artificial Intelligence (IJCAI), author=Nguyen, Vu-Linh and Destercke, Sebastian and Masson, M.-H. and Hüllermeier, Eyke, year=2018, pages=5089–5095 

@inproceedingsSchäfer_Hüllermeier_2018, title=Preference-Based Reinforcement Learning Using Dyad Ranking, booktitle=Proc. 21st Int. Conference on Discovery Science (DS), author=Schäfer, Dirk and Hüllermeier, Eyke, year=2018, pages=161–175 

@articleSchäfer_Hüllermeier_2018, title=Dyad Ranking Using Plackett-Luce Models based on joint feature representations, volume=107, number=5, journal=Machine Learning, author=Schäfer, Dirk and Hüllermeier, Eyke, year=2018, pages=903–941 

@inproceedingsSeemann_Geierhos_Merten_Tophinke_Wever_Hüllermeier_2018, title=Supporting the Cognitive Process in Annotation Tasks, booktitle=Postersession Computerlinguistik der 40. Jahrestagung der Deutschen Gesellschaft für Sprachwissenschaft, author=Seemann, Nina and Geierhos, Michaela and Merten, Marie-Luis and Tophinke, Doris and Wever, Marcel Dominik and Hüllermeier, Eyke, editor=Eckart, Kerstin  and Schlechtweg, Dominik , year=2018 

@articleRamaswamy_Bhatnagar_2017, title=Analysis of gradient descent methods with nondiminishing bounded errors, volume=63, number=5, journal=IEEE Transactions on Automatic Control, publisher=IEEE, author=Ramaswamy, Arunselvan and Bhatnagar, Shalabh, year=2017, pages=1465–1471 

@articleRamaswamy_Bhatnagar_2017, title=A generalization of the Borkar-Meyn theorem for stochastic recursive inclusions, volume=42, number=3, journal=Mathematics of Operations Research, publisher=INFORMS, author=Ramaswamy, Arunselvan and Bhatnagar, Shalabh, year=2017, pages=648–661 

@inproceedingsMelnikov_Hüllermeier_2017, title=Optimizing the Structure of Nested Dichotomies: A Comparison of Two Heuristics, DOI=10.5445/KSP/1000074341, booktitle=Proceedings. 27. Workshop Computational Intelligence, Dortmund, 23. - 24. November 2017, publisher=KIT Scientific Publishing, author=Melnikov, Vitalik and Hüllermeier, Eyke, year=2017 

@inproceedingsJakobs_Krämer_van Straaten_Lettmann_2017, title=Certiû01cation Matters for Service Markets, booktitle=The Ninth International Conferences on Advanced Service Computing (SERVICE COMPUTATION), author=Jakobs, Marie-Christine and Krämer, Julia and van Straaten, Dirk and Lettmann, Theodor, editor=Marcelo De Barros, Janusz Klink,Tadeus Uhl, Thomas PrinzEditor, year=2017, pages=7–12 

@inproceedingsSeemann_Merten_Geierhos_Tophinke_Hüllermeier_2017, place=Stroudsburg, PA, USA, title=Annotation Challenges for Reconstructing the Structural Elaboration of Middle Low German, DOI=10.18653/v1/W17-2206, booktitle=Proceedings of the Joint SIGHUM Workshop on Computational Linguistics for Cultural Heritage, Social Sciences, Humanities and Literature, publisher=Association for Computational Linguistics (ACL), author=Seemann, Nina and Merten, Marie-Luis and Geierhos, Michaela and Tophinke, Doris and Hüllermeier, Eyke, year=2017, pages=40–45 

@bookSchnitker_2017, title=Genetischer Algorithmus zur Erstellung von Ensembles von Nested Dichotomies, publisher=Universität Paderborn, author=Schnitker, Nino Noel, year=2017 

@inproceedingsGupta_Hetzer_Tornede_Gottschalk_Kornelsen_Osterbrink_Pfannschmidt_Hüllermeier_2017, title=jPL: A Java-based Software Framework for Preference Learning, author=Gupta, Pritha and Hetzer, Alexander and Tornede, Tanja and Gottschalk, Sebastian and Kornelsen, Andreas and Osterbrink, Sebastian and Pfannschmidt, Karlson and Hüllermeier, Eyke, year=2017 

@bookHetzer_Tornede_2017, title=Solving the Container Pre-Marshalling Problem using Reinforcement Learning and Structured Output Prediction, publisher=Universität Paderborn, author=Hetzer, Alexander and Tornede, Tanja, year=2017 

@inproceedingsCzech_Hüllermeier_Jakobs_Wehrheim_2017, series=SWAN’17, title=Predicting Rankings of Software Verification Tools, DOI=10.1145/3121257.3121262, booktitle=Proceedings of the 3rd International Workshop on Software Analytics, author=Czech, Mike and Hüllermeier, Eyke and Jakobs, Marie-Christine and Wehrheim, Heike, year=2017, pages=23–26, collection=SWAN’17 

@bookCzech_Hüllermeier_Jakobs_Wehrheim_2017, title=Predicting Rankings of Software Verification Competitions, author=Czech, Mike and Hüllermeier, Eyke and Jakobs, Marie-Christine and Wehrheim, Heike, year=2017 

@inbookFürnkranz_Hüllermeier_2017, title=Preference Learning, booktitle=Encyclopedia of Machine Learning and Data Mining, author=Fürnkranz, J. and Hüllermeier, Eyke, year=2017, pages=1000–1005 

@inbookFürnkranz_Hüllermeier_2017, title=Preference Learning, volume=107, 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=2017, pages=1000–1005 

@inproceedingsWever_Mohr_Hüllermeier_2017, place=Dortmund, title=Automatic Machine Learning: Hierachical Planning Versus Evolutionary Optimization, booktitle=27th Workshop Computational Intelligence, author=Wever, Marcel Dominik and Mohr, Felix and Hüllermeier, Eyke, year=2017 

@inproceedingsMelnikov_Hüllermeier_2017, title=Optimizing the structure of nested dichotomies. A comparison of two heuristics, booktitle=in Proceedings 27th Workshop Computational Intelligence, Dortmund Germany, publisher=KIT Scientific Publishing, author=Melnikov, Vitaly and Hüllermeier, Eyke, editor=Hoffmann, F. and Hüllermeier, Eyke and Mikut, R.Editors, year=2017, pages=1–12 

@inproceedingsCzech_Hüllermeier_Jacobs_Wehrheim_2017, title=Predicting rankings of software verification tools, booktitle=in Proceedings ESEC/FSE Workshops 2017 - 3rd ACM SIGSOFT, International Workshop on Software Analytics (SWAN 2017), Paderborn Germany, author=Czech, M. and Hüllermeier, Eyke and Jacobs, M.C. and Wehrheim, Heike, year=2017 

@inproceedingsCouso_Dubois_Hüllermeier_2017, title=Maximum likelihood estimation and coarse data, booktitle=in Proceedings SUM 2017, 11th International Conference on Scalable Uncertainty Management, Granada, Spain, publisher=Springer, author=Couso, Ines and Dubois, D. and Hüllermeier, Eyke, year=2017, pages=3–16 

@inproceedingsEwerth_Springstein_Müller_Balz_Gehlhaar_Naziyok_Dembczynski_Hüllermeier_2017, title=Estimating relative depth in single images via rankboost, booktitle=Proc. IEEE Int. Conf. on Multimedia and Expo (ICME 2017), author=Ewerth, Ralph and Springstein, M. and Müller, E. and Balz, A. and Gehlhaar, J. and Naziyok, T. and Dembczynski, K. and Hüllermeier, Eyke, year=2017, pages=919–924 

@inproceedingsAhmadi Fahandar_Hüllermeier_Couso_2017, title=Statistical Inference for Incomplete Ranking Data: The Case of Rank-Dependent  Coarsening, booktitle=Proc. 34th Int. Conf. on Machine Learning (ICML 2017), author=Ahmadi Fahandar, Mohsen and Hüllermeier, Eyke and Couso, Ines, year=2017, pages=1078–1087 

@inproceedingsMohr_Lettmann_Hüllermeier_2017, title=Planning with Independent Task Networks, DOI=10.1007/978-3-319-67190-1_15, booktitle=Proc. 40th Annual German Conference on Advances in Artificial Intelligence (KI 2017), author=Mohr, Felix and Lettmann, Theodor and Hüllermeier, Eyke, year=2017, pages=193–206 

@inproceedingsCzech_Hüllermeier_Jakobs_Wehrheim_2017, title=Predicting rankings of software verification tools, booktitle=Proc. 3rd ACM SIGSOFT Int. I Workshop on Software Analytics (SWAN@ESEC/SIGSOFT FSE 2017, author=Czech, M. and Hüllermeier, Eyke and Jakobs, M.-C. and Wehrheim, Heike, year=2017, pages=23–26 

@inproceedingsCouso_Dubois_Hüllermeier_2017, title=Maximum Likelihood Estimation and Coarse Data, booktitle=Proc. 11th Int. Conf. on Scalable Uncertainty Management (SUM 2017), author=Couso, Ines and Dubois, D. and Hüllermeier, Eyke, year=2017, pages=3–16 

@inproceedingsAhmadi Fahandar_Hüllermeier_2017, title=Learning to Rank based on Analogical Reasoning, booktitle=Proc. AAAI 2017, 32nd AAAI Conference on Artificial Intelligence, author=Ahmadi Fahandar, Mohsen and Hüllermeier, Eyke, year=2017 

@inproceedingsHoffmann_Hüllermeier_Mikut_2017, title=(Hrsg.) Proceedings 27. Workshop Computational Intelligence, KIT Scientific Publishing, Karlsruhe, Germany 2017, author=Hoffmann, F. and Hüllermeier, Eyke and Mikut, R., year=2017 

@inproceedingsMelnikov_Hüllermeier_2017, title=Optimizing the Structure of Nested Dichotomies: A Comparison of Two Heuristics, booktitle=Proceedings 27. Workshop Computational Intelligence, Dortmund, Germany 2017, author=Melnikov, Vitaly and Hüllermeier, Eyke, year=2017, pages=1–12 

@inproceedingsShaker_Heldt_Hüllermeier_2017, title=Learning TSK Fuzzy Rules from Data Streams, booktitle=Proceedings ECML/PKDD, European Conference on Machine Learning and Knowledge Discovery in Databases, Skopje, Macedonia, author=Shaker, Ammar and Heldt, W. and Hüllermeier, Eyke, year=2017 

@articleBräuning_Hüllermeier_Keller_Glaum_2017, title=Lexicographic preferences for predictive modeling of human decision making. A new machine learning method with an application  in accounting, volume=258, number=1, journal=European Journal of Operational Research, author=Bräuning, M. and Hüllermeier, Eyke and Keller, T. and Glaum, M., year=2017, pages=295–306 

@articlePlatenius_Shaker_Becker_Hüllermeier_Schäfer_2017, title=Imprecise Matching of Requirements Specifications for Software Services Using Fuzzy Logic, volume=43, number=8, journal=IEEE Transactions on Software Engineering, author=Platenius, M.-C. and Shaker, Ammar and Becker, M. and Hüllermeier, Eyke and Schäfer, W., year=2017, pages=739–759 

@articleHüllermeier_2017, title=From Knowledge-based to Data-driven Modeling of Fuzzy Rule-based Systems: A Critical Reflection, number=abs/1712.00646, journal=The Computing Research Repository  (CoRR), author=Hüllermeier, Eyke, year=2017 

@articleRamaswamy_Bhatnagar_2016, title=Stochastic recursive inclusion in two timescales with an application to the lagrangian dual problem, volume=88, number=8, journal=Stochastics, publisher=Taylor \'26; Francis, author=Ramaswamy, Arunselvan and Bhatnagar, Shalabh, year=2016, pages=1173–1187 

@articleMelnikov_Hüllermeier_Kaimann_Frick_Gupta_2016, title=Pairwise versus Pointwise Ranking: A Case Study, volume=25, DOI=10.4467/20838476si.16.006.6187, journal=Schedae Informaticae, publisher=Uniwersytet Jagiellonski - Wydawnictwo Uniwersytetu Jagiellonskiego, author=Melnikov, Vitalik and Hüllermeier, Eyke and Kaimann, Daniel and Frick, Bernd10.4467/20838476si.16.006.6187__and Gupta,10.4467/20838476si.16.006.6187__Pritha , year=2016 

@articlePlatenius_Shaker_Becker_Hüllermeier_Schäfer_2016, title=Imprecise Matching of Requirements Specifications for Software Services using Fuzzy Logic, DOI=10.1109/TSE.2016.2632115, number=8, journal=IEEE Transactions on Software Engineering (TSE), presented at ICSE 2017, publisher=IEEE, author=Platenius, Marie Christin and Shaker, Ammar and Becker, Matthias and Hüllermeier, Eyke and Schäfer, Wilhelm, year=2016, pages=739–759 

@inproceedingsMelnikov_Hüllermeier_2016, series=LNCS, title=Learning to Aggregate Using Uninorms, DOI=10.1007/978-3-319-46227-1_47, booktitle=Proceedings of the Joint European Conference on Machine Learning and Knowledge Discovery in Databases (ECML/PKDD 2016), author=Melnikov, Vitaly and Hüllermeier, Eyke, year=2016, pages=756–771, collection=LNCS 

@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