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418 Publications


2016 | Book Chapter | LibreCat-ID: 10214
Fürnkranz J, Hüllermeier E. Preference Learning. In: Sammut C, Webb GI, eds. Encyclopedia of Machine Learning and Data Mining. Springer; 2016.
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2016 | Conference (Editor) | LibreCat-ID: 10221
Hoffmann F, Hüllermeier E, Mikut R, eds. Proceedings 26. Workshop Computational Intelligence KIT Scientific Publishing, Karlsruhe, Germany.; 2016.
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2016 | Conference Paper | LibreCat-ID: 10226
Pfannschmidt K, Hüllermeier E, Held S, Neiger R. 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. Springer; 2016:450-461.
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2016 | Journal Article | LibreCat-ID: 10264
Leinweber M, Fober T, Strickert M, et al. CavSimBase: A database for large scale comparison of protein binding sites. IEEE Transactions on Knowledge and Data Engineering. 2016;28(6):1423-1434.
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2016 | Dissertation | LibreCat-ID: 141
Mohr F. Towards Automated Service Composition Under Quality Constraints. Universität Paderborn; 2016. doi:10.17619/UNIPB/1-171
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2016 | Conference Paper | LibreCat-ID: 15404
Schäfer D, Hüllermeier E. 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, Fober T, Strickert M, et al. CavSimBase: A database for large scale comparison of protein binding sites. IEEE Transactions on Knowledge and Data Engineering. 2016;28(6):1423-1434.
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2016 | Conference Paper | LibreCat-ID: 184
Melnikov V, Hüllermeier E. Learning to Aggregate Using Uninorms. In: Proceedings of the Joint European Conference on Machine Learning and Knowledge Discovery in Databases (ECML/PKDD 2016). LNCS. ; 2016:756-771. doi:10.1007/978-3-319-46227-1_47
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2016 | Conference Paper | LibreCat-ID: 10222
Jasinska K, Dembczynski K, Busa-Fekete R, Klerx T, Hüllermeier E. Extreme F-measure maximization using sparse probability estimates . In: Balcan MF, Weinberger KQ, eds. Proceedings ICML-2016, 33th International Conference on Machine Learning, New York, USA. ; 2016.
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2016 | Conference Paper | LibreCat-ID: 10227
Labreuche C, Hüllermeier E, Vojtas P, Fallah Tehrani A. On the Identifiability of models in multi-criteria preference learning . In: Busa-Fekete R, Hüllermeier E, Mousseau V, Pfannschmidt K, eds. Proceedings DA2PL ´2016, Euro Mini Conference from Multiple Criteria Decision Aid to Preference Learning. ; 2016.
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2016 | Conference Paper | LibreCat-ID: 15400
Labreuche C, Hüllermeier E, Vojtas P, Fallah Tehrani A. On the identifiability of models  in multi-criteria preference learning. In: Busa-Fekete R, Hüllermeier E, Mousseau V, Pfannschmidt K, eds. In Proceedings DA2PL 2016 EURO Mini Conference From Multiple Criteria Decision Aid to Preference Learning, Paderborn Germany. ; 2016.
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2016 | Journal Article | LibreCat-ID: 3318
Melnikov V, Hüllermeier E, Kaimann D, Frick B, Gupta Pritha . Pairwise versus Pointwise Ranking: A Case Study. Schedae Informaticae. 2016;25. doi:10.4467/20838476si.16.006.6187
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2015 | Journal Article | LibreCat-ID: 10324
Senge R, Hüllermeier E. Fast Fuzzy Pattern Tree Learning of Classification. IEEE Transactions on Fuzzy Systems. 2015;23(6):2024-2033.
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2015 | Conference Paper | LibreCat-ID: 10235
Hoffmann F, Hüllermeier E. Proceedings 25. Workshop Computational Intelligence KIT Scientific Publishing. In: ; 2015.
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2015 | Conference Paper | LibreCat-ID: 10242
Szörényi B, Busa-Fekete R, Dembczynski K, Hüllermeier E. Online F-Measure Optimization. In: In Advances in Neural Information Processing Systems 28 (NIPS 2015). ; 2015:595-603.
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2015 | Conference Paper | LibreCat-ID: 15406
Schäfer D, Hüllermeier E. 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. ; 2015:110-111.
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2015 | Journal Article | LibreCat-ID: 16067
Shaker A, Hüllermeier E. Recovery analysis for adaptive learning from non-stationary data streams: Experimental design and case study. Neurocomputing. 2015;150:250-264.
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2015 | Conference Paper | LibreCat-ID: 319
Mohr F, Jungmann A, Kleine Büning H. Automated Online Service Composition. In: Proceedings of the 12th IEEE International Conference on Services Computing (SCC). ; 2015:57--64. doi:10.1109/SCC.2015.18
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2015 | Journal Article | LibreCat-ID: 4792
Senge R, Hüllermeier E. Fast Fuzzy Pattern Tree Learning for Classification. IEEE Transactions on Fuzzy Systems. 2015;23(6):2024-2033. doi:10.1109/tfuzz.2015.2396078
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2015 | Conference Paper | LibreCat-ID: 10236
Abdel-Aziz A, Hüllermeier E. Case Base Maintenance in Preference-Based CBR. In: In Proceedings 23rd International Conference on Case-Based Reasoning (ICCBR 2015). ; 2015:1-14.
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2015 | Conference Paper | LibreCat-ID: 10243
El Mesaoudi-Paul A, Hüllermeier E. A CBR Approach to the Angry Birds Game. In: In Workshop Proc. 23rd International Conference on Case-Based Reasoning (ICCBR 2015). ; 2015:68-77.
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2015 | Journal Article | LibreCat-ID: 10320
Hüllermeier E. Does machine learning need fuzzy logic? Fuzzy Sets and Systems. 2015;281:292-299.
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2015 | Conference Paper | LibreCat-ID: 15750
Ewerth R, Balz A, Gehlhaar J, Dembczynski K, Hüllermeier E. Depth estimation in monocular images: Quantitative versus qualitative approaches. In: Hoffmann F, Hüllermeier E, eds. In Proceedings 25. Workshop Computational Intelligence, Dortmund, Germany. KIT Scientific Publishing; 2015:235-240.
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2015 | Journal Article | LibreCat-ID: 16049
Senge R, Hüllermeier E. Fast fuzzy pattern tree learning for classification . IEEE Transactions on Fuzzy Systems. 2015;23(6):2024-2033.
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2015 | Journal Article | LibreCat-ID: 16051
Hüllermeier E. From knowledge-based to data driven fuzzy modeling: Development, criticism and alternative directions. Informatik Spektrum. 2015;38(6):500-509.
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2015 | Conference Paper | LibreCat-ID: 10237
Szörényi B, Busa-Fekete R, Weng P, Hüllermeier E. Qualitative Multi-Armed Bandits: A Quantile-Based Approach. In: In Proceedings International Conference on Machine Learning (ICML 2015). ; 2015:1660-1668.
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2015 | Conference Paper | LibreCat-ID: 10244
Schäfer D, Hüllermeier E. 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 (MetaSel@PKDD/ECML). ; 2015:110-111.
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2015 | Journal Article | LibreCat-ID: 10319
Waegeman W, Dembczynski K, Jachnik A, Cheng W, Hüllermeier E. On the Bayes-Optimality of F-Measure Maximizers. in Journal of Machine Learning Research. 2015;15:3333-3388.
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2015 | Journal Article | LibreCat-ID: 10321
Shaker A, Hüllermeier E. Recovery analysis for adaptive learning from non-stationary data streams: Experimental design and case study. Neurocomputing. 2015;150:250-264.
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2015 | Conference Paper | LibreCat-ID: 15749
Paul A, Hüllermeier E. A cbr approach to the angry birds game. In: In Workshop Proceedings from ICCBR, 23rd International Conference on Case-Based Reasoning, Frankfurt, Germany. ; 2015:68-77.
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2015 | Conference Paper | LibreCat-ID: 15751
Lu S, Hüllermeier E. Locally weighted regression through data imprecisiation. In: Hoffmann F, Hüllermeier E, eds. In Proceedings 25th Workshop Computational Intelligence, Dortmund Germany. KIT Scientific Publishing; 2015:97-104.
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2015 | Journal Article | LibreCat-ID: 323
Jungmann A, Mohr F. An approach towards adaptive service composition in markets of composed services. Journal of Internet Services and Applications. 2015;(1):1-18. doi:10.1186/s13174-015-0022-8
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2015 | Conference Paper | LibreCat-ID: 10238
Schäfer D, Hüllermeier E. Dyad Ranking Using A Bilinear Plackett-Luce Model. In: In Proceedings European Conference on Machine Learning and Knowledge Discovery in Databases (ECML/PKDD). ; 2015:227-242.
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2015 | Conference Paper | LibreCat-ID: 10240
Henzgen S, Hüllermeier E. Weighted Rank Correlation : A Flexible Approach Based on Fuzzy Order Relations. In: In Proceedings European Conference on Machine Learning and Knowledge Discovery in Databases (ECML/PKDD). ; 2015:422-437.
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2015 | Conference Paper | LibreCat-ID: 10245
Lu S, Hüllermeier E. Locally weighted regression through data imprecisiation. In: Proceedings 25. Workshop Computational Intelligence. ; 2015:97-104.
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2015 | Journal Article | LibreCat-ID: 10322
Hüllermeier E. From Knowledge-based to Data-driven fuzzy modeling-Development, criticism and alternative directions. Informatik Spektrum. 2015;38(6):500-509.
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2015 | Journal Article | LibreCat-ID: 16053
Hüllermeier E. Does machine learning need fuzzy logic? Fuzzy Sets and Systems. 2015;281:292-299.
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2015 | Journal Article | LibreCat-ID: 16058
Waegeman W, Dembczynski K, Jachnik A, Cheng W, Hüllermeier E. On the Bayes-optimality of F-measure maximizers. Journal of Machine Learning Research. 2015;15:3313-3368.
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2015 | Conference Paper | LibreCat-ID: 280
Arifulina S, Platenius MC, Mohr F, Engels G, Schäfer W. Market-Specific Service Compositions: Specification and Matching. In: Proceedings of the IEEE 11th World Congress on Services (SERVICES), Visionary Track: Service Composition for the Future Internet. ; 2015:333--340. doi:10.1109/SERVICES.2015.58
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2015 | Conference Paper | LibreCat-ID: 324
Mohr F. A Metric for Functional Reusability of Services. In: Proceedings of the 14th International Conference on Software Reuse (ICSR). LNCS. ; 2015:298--313. doi:10.1007/978-3-319-14130-5_21
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2015 | Journal Article | LibreCat-ID: 10323
Garcia-Jimenez S, Bustince U, Hüllermeier E, Mesiar R, Pal NR, Pradera A. Overlap Indices: Construction of and Application of Interpolative Fuzzy Systems. IEEE Transactions on Fuzzy Systems. 2015;23(4):1259-1273.
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2015 | Conference Paper | LibreCat-ID: 10234
Hüllermeier E, Minor M. Case-Based Reasoning Research and Development . In: In Proceedings 23rd International Conference on Case-Based Reasoning (ICCBR 2015) LNAI 9343. Springer; 2015.
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2015 | Conference Paper | LibreCat-ID: 10239
Hüllermeier E, Cheng W. Superset Learning Based on Generalized Loss Minimization . In: In Proceedings European Conference on Machine Learning and Knowledge Discovery in Databases (ECML/PKDD). ; 2015:260-275.
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2015 | Conference Paper | LibreCat-ID: 10241
Szörényi B, Busa-Fekete R, Paul A, Hüllermeier E. Online Rank Elicitation for Plackett-Luce: A Dueling Bandits Approach. In: In Advances in Neural Information Processing Systems 28 (NIPS 2015). ; 2015:604-612.
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2015 | Conference Paper | LibreCat-ID: 10246
Ewerth R, Balz A, Gehlhaar J, Dembczynski K, Hüllermeier E. Depth estimation in monocular images: Quantitative versus qualitative approaches. In: Proceedings 25. Workshop Computational Intelligence. ; 2015:235-240.
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2014 | Journal Article | LibreCat-ID: 10297
Hoffmann F, Hüllermeier E, Kroll A. Ausgewählte Beiträge des GMA-Fachausschusses 5.14. Computational Intelligence Automatisierungstechnik. 2014;62(10):685-686.
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2014 | Journal Article | LibreCat-ID: 10312
Mernberger M, Moog M, Stork S, Zauner S, Maier UG, Hüllermeier E. Protein Sub-Cellular Localization Prediction for Special compartments via Optimized Time Series Distances. J Bioinformatics and Computational Biology. 2014;12(1).
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2014 | Journal Article | LibreCat-ID: 10317
Krotzky T, Fober T, Hüllermeier E, Klebe G. Extended Graph-Based Models for Enhanced Similarity Search in Cavbase. IEEE/ACM Trans Comput Biology Bioinform. 2014;11(5):878-890.
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2014 | Conference Paper | LibreCat-ID: 10247
Busa-Fekete R, Szörényi B, Hüllermeier E. PAC Rank Elicitation through Adaptive Sampling of Stochastic Pairwise Preferences. In: Proceedings AAAI 2014, Quebec, Canada. ; 2014:1701-1707.
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2014 | Conference Paper | LibreCat-ID: 10254
Calders T, Esposito F, Hüllermeier E, Meo R. Machine Learning and Knowledge Discovery in Databases-European Conf. ECML/PKDD, Nancy, France. In: Proceedings, Parts I-III. Lecture Notes in Computer Science. Springer; 2014:8724-8726.
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