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429 Publications


2016 | Conference (Editor) | LibreCat-ID: 10263
Kaminka, G.A., M. Fox, P. Bouquet, Eyke Hüllermeier, V. Dignum, F. Dignum, and F. van Harmelen, eds. ECAI 2016, 22nd European Conference on Artificial Intelligence, Including PAIS 2016, Prestigious Applications of Artificial Intelligence. Vol. 285. Frontiers in Artificial Intelligence and Applications, The Hague, The Netherlands. The Hague, The Netherlands: IOS Press, 2016.
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2016 | Conference Paper | LibreCat-ID: 15403
Lu, S., and Eyke Hüllermeier. “Support Vector Classification on Noisy Data Using Fuzzy Superset Losses.” In In Proceedings 26th Workshop Computational Intelligence, Dortmund Germany, edited by Eyke Hüllermeier, F. Hoffmann, and R. Mikut, 1–8. KIT Scientific Publishing, 2016.
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2016 | Journal Article | LibreCat-ID: 190
Platenius, Marie Christin, Ammar Shaker, Matthias Becker, Eyke Hüllermeier, and Wilhelm Schäfer. “Imprecise Matching of Requirements Specifications for Software Services Using Fuzzy Logic.” IEEE Transactions on Software Engineering (TSE), Presented at ICSE 2017, no. 8 (2016): 739–59. https://doi.org/10.1109/TSE.2016.2632115.
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2016 | Book Chapter | LibreCat-ID: 10214
Fürnkranz, J., and Eyke Hüllermeier. “Preference Learning.” In Encyclopedia of Machine Learning and Data Mining, edited by C. Sammut and G.I. Webb. Springer, 2016.
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2016 | Conference (Editor) | LibreCat-ID: 10221
Hoffmann, F., Eyke Hüllermeier, and R. Mikut, eds. Proceedings 26. Workshop Computational Intelligence KIT Scientific Publishing, Karlsruhe, Germany, 2016.
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2016 | Conference Paper | LibreCat-ID: 10226
Pfannschmidt, Karlson, Eyke Hüllermeier, S. Held, and R. Neiger. “Evaluating Tests in Medical  Diagnosis-Combining Machine Learning with Game-Theoretical Concepts.” In In Proceedings IPMU 16th International Conference on Information Processing and Management  of Uncertainty in Knowledge-Based Systems, Part 1, Eindhoven, The Netherlands, 450–61. Springer, 2016.
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2016 | Journal Article | LibreCat-ID: 10264
Leinweber, M., T. Fober, M. Strickert, L. Baumgärtner, G. Klebe, B. Freisleben, and Eyke Hüllermeier. “CavSimBase: A Database for Large Scale Comparison of Protein Binding Sites.” IEEE Transactions on Knowledge and Data Engineering 28, no. 6 (2016): 1423–34.
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2016 | Dissertation | LibreCat-ID: 141
Mohr, Felix. Towards Automated Service Composition Under Quality Constraints. Universität Paderborn, 2016. https://doi.org/10.17619/UNIPB/1-171.
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2016 | Conference Paper | LibreCat-ID: 15404
Schäfer, D., and Eyke Hüllermeier. “Plackett-Luce Networks for Dyad Ranking.” In In Workshop LWDA “Lernen, Wissen, Daten, Analysen” Potsdam, Germany, 2016.
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2016 | Journal Article | LibreCat-ID: 16041
Leinweber, M., T. Fober, M. Strickert, L. Baumgärtner, G. Klebe, B. Freisleben, and Eyke Hüllermeier. “CavSimBase: A Database for Large Scale Comparison of Protein Binding Sites.” IEEE Transactions on Knowledge and Data Engineering 28, no. 6 (2016): 1423–34.
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2016 | Conference Paper | LibreCat-ID: 184
Melnikov, Vitaly, and Eyke Hüllermeier. “Learning to Aggregate Using Uninorms.” In Proceedings of the Joint European Conference on Machine Learning and Knowledge Discovery in Databases (ECML/PKDD 2016), 756–71. LNCS, 2016. https://doi.org/10.1007/978-3-319-46227-1_47.
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2016 | Conference Paper | LibreCat-ID: 10222
Jasinska, K., K. Dembczynski, Robert Busa-Fekete, Timo Klerx, and Eyke Hüllermeier. “Extreme F-Measure Maximization Using Sparse Probability Estimates .” In Proceedings ICML-2016, 33th International Conference on Machine Learning, New York, USA, edited by M.F. Balcan and K.Q. Weinberger, 2016.
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2016 | Conference Paper | LibreCat-ID: 10227
Labreuche, C., Eyke Hüllermeier, P. Vojtas, and A. Fallah Tehrani. “On the Identifiability of Models in Multi-Criteria Preference Learning .” In Proceedings DA2PL ´2016, Euro Mini Conference from Multiple Criteria Decision Aid to Preference Learning, edited by Robert Busa-Fekete, Eyke Hüllermeier, V. Mousseau, and Karlson Pfannschmidt, 2016.
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2016 | Conference Paper | LibreCat-ID: 15400
Labreuche, C., Eyke Hüllermeier, P. Vojtas, and A. Fallah Tehrani. “On the Identifiability of Models  in Multi-Criteria Preference Learning.” In In Proceedings DA2PL 2016 EURO Mini Conference From Multiple Criteria Decision Aid to Preference Learning, Paderborn Germany, edited by R. Busa-Fekete, Eyke Hüllermeier, V. Mousseau, and Karlson Pfannschmidt, 2016.
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2016 | Journal Article | LibreCat-ID: 3318
Melnikov, Vitalik, Eyke Hüllermeier, Daniel Kaimann, Bernd Frick, and Pritha Gupta. “Pairwise versus Pointwise Ranking: A Case Study.” Schedae Informaticae 25 (2016). https://doi.org/10.4467/20838476si.16.006.6187.
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2015 | Journal Article | LibreCat-ID: 10324
Senge, Robin, and Eyke Hüllermeier. “Fast Fuzzy Pattern Tree Learning of Classification.” IEEE Transactions on Fuzzy Systems 23, no. 6 (2015): 2024–33.
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2015 | Conference Paper | LibreCat-ID: 10235
Hoffmann, F., and Eyke Hüllermeier. “Proceedings 25. Workshop Computational Intelligence KIT Scientific Publishing,” 2015.
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2015 | Conference Paper | LibreCat-ID: 10242
Szörényi, B., Robert Busa-Fekete, K. Dembczynski, and Eyke Hüllermeier. “Online F-Measure Optimization.” In In Advances in Neural Information Processing Systems 28 (NIPS 2015), 595–603, 2015.
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2015 | Conference Paper | LibreCat-ID: 15406
Schäfer, D., and Eyke Hüllermeier. “Preference-Based Meta-Learning Using Dyad Ranking: Recommending Algorithms in Cold-Start Situations.” In In Proceedings of the 2015 International Workshop on Meta-Learning and Algorithm Selection Co-Located ECML/PKDD, Porto, Portugal, 110–11, 2015.
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2015 | Journal Article | LibreCat-ID: 16067
Shaker, A., and Eyke Hüllermeier. “Recovery Analysis for Adaptive Learning from Non-Stationary Data Streams: Experimental Design and Case Study.” Neurocomputing 150 (2015): 250–64.
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