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224 Publications


2018 | Bachelorsthesis | LibreCat-ID: 5693
Graf, Helena. Ranking of Classification Algorithms in AutoML, 2018.
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2018 | Conference Abstract | LibreCat-ID: 1379
Seemann, Nina, Michaela Geierhos, Marie-Luis Merten, Doris Tophinke, Marcel Dominik Wever, and Eyke Hüllermeier. “Supporting the Cognitive Process in Annotation Tasks.” In Postersession Computerlinguistik der 40. Jahrestagung der Deutschen Gesellschaft für Sprachwissenschaft, edited by Kerstin Eckart and Dominik Schlechtweg, 2018.
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2018 | Conference Paper | LibreCat-ID: 10152
Mohr, Felix, Marcel Dominik Wever, and Eyke Hüllermeier. “On-the-Fly Service Construction with Prototypes.” In Proc. 15th Int. Conference on Services Computing (SCC), 225–32, 2018.
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2018 | Conference Paper | LibreCat-ID: 10145
Ahmadi Fahandar, Mohsen, and Eyke Hüllermeier. “Learning to Rank Based on Analogical Reasoning.” In Proc. 32 Nd AAAI Conference on Artificial Intelligence (AAAI), 2951–58, 2018.
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2018 | Journal Article | LibreCat-ID: 10784
Mohr, Felix, Marcel Dominik Wever, and Eyke Hüllermeier. “ML-Plan: Automated Machine Learning via Hierarchical Planning.” Machine Learning 107, no. 8–10 (2018): 1495–1515.
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2018 | Conference Paper | LibreCat-ID: 10188
Wever, Marcel Dominik, Felix Mohr, and Eyke Hüllermeier. “Ensembles of Evolved Nested Dichotomies for Classificaton.” In Proc. Genetic and Evolutionary Computation Conference (GECCO), 561–68, 2018.
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2018 | Journal Article | LibreCat-ID: 3510
Mohr, Felix, Marcel Dominik Wever, and Eyke Hüllermeier. “ML-Plan: Automated Machine Learning via Hierarchical Planning.” Machine Learning, 2018. https://doi.org/10.1007/s10994-018-5735-z.
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2017 | Bachelorsthesis | LibreCat-ID: 5694
Schnitker, Nino Noel. Genetischer Algorithmus zur Erstellung von Ensembles von Nested Dichotomies, 2017.
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2017 | Conference Paper | LibreCat-ID: 1180
Wever, Marcel Dominik, Felix Mohr, and Eyke Hüllermeier. “Automatic Machine Learning: Hierachical Planning Versus Evolutionary Optimization.” In 27th Workshop Computational Intelligence. Dortmund, 2017.
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2017 | Conference Paper | LibreCat-ID: 10204
Ewerth, Ralph, M. Springstein, E. Müller, A. Balz, J. Gehlhaar, T. Naziyok, K. Dembczynski, and Eyke Hüllermeier. “Estimating Relative Depth in Single Images via Rankboost.” In Proc. IEEE Int. Conf. on Multimedia and Expo (ICME 2017), 919–24, 2017.
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2017 | Conference Paper | LibreCat-ID: 10216
Shaker, Ammar, W. Heldt, and Eyke Hüllermeier. “Learning TSK Fuzzy Rules from Data Streams.” In Proceedings ECML/PKDD, European Conference on Machine Learning and Knowledge Discovery in Databases, Skopje, Macedonia, 2017.
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2017 | Conference Paper | LibreCat-ID: 10209
Ahmadi Fahandar, Mohsen, and Eyke Hüllermeier. “Learning to Rank Based on Analogical Reasoning.” In Proc. AAAI 2017, 32nd AAAI Conference on Artificial Intelligence, 2017.
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2017 | Conference Paper | LibreCat-ID: 15110
Couso, Ines, D. Dubois, and Eyke Hüllermeier. “Maximum Likelihood Estimation and Coarse Data.” In In Proceedings SUM 2017, 11th International Conference on Scalable Uncertainty Management, Granada, Spain, 3–16. Springer, 2017.
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2017 | Conference Abstract | LibreCat-ID: 5722
Gupta, Pritha, Alexander Hetzer, Tanja Tornede, Sebastian Gottschalk, Andreas Kornelsen, Sebastian Osterbrink, Karlson Pfannschmidt, and Eyke Hüllermeier. “JPL: A Java-Based Software Framework for Preference Learning,” 2017.
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2017 | Conference Paper | LibreCat-ID: 10111
Mohr, Felix, Theodor Lettmann, and Eyke Hüllermeier. “Planning with Independent Task Networks.” In Proceedings of the 40th Annual German Conference on AI (KI 2017), 10505:193–206. Lecture Notes in Computer Science. Springer, 2017.
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2017 | Conference Paper | LibreCat-ID: 10205
Ahmadi Fahandar, Mohsen, Eyke Hüllermeier, and Ines Couso. “Statistical Inference for Incomplete Ranking Data: The Case of Rank-Dependent  Coarsening.” In Proc. 34th Int. Conf. on Machine Learning (ICML 2017), 1078–87, 2017.
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2017 | Conference Paper | LibreCat-ID: 10212
Hoffmann, F., Eyke Hüllermeier, and R. Mikut. “(Hrsg.) Proceedings 27. Workshop Computational Intelligence, KIT Scientific Publishing, Karlsruhe, Germany 2017,” 2017.
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2017 | Journal Article | LibreCat-ID: 10267
Bräuning, M., Eyke Hüllermeier, T. Keller, and M. Glaum. “Lexicographic Preferences for Predictive Modeling of Human Decision Making. A New Machine Learning Method with an Application  in Accounting.” European Journal of Operational Research 258, no. 1 (2017): 295–306.
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2017 | Encyclopedia Article | LibreCat-ID: 10589
Fürnkranz, J., and Eyke Hüllermeier. “Preference Learning.” In Encyclopedia of Machine Learning and Data Mining, 1000–1005, 2017.
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2017 | Conference Paper | LibreCat-ID: 10213
Melnikov, Vitaly, and Eyke Hüllermeier. “Optimizing the Structure of Nested Dichotomies: A Comparison of Two Heuristics.” In Proceedings 27. Workshop Computational Intelligence, Dortmund, Germany 2017, 1–12, 2017.
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2017 | Conference Paper | LibreCat-ID: 10206
Mohr, Felix, Theodor Lettmann, and Eyke Hüllermeier. “Planning with Independent Task Networks.” In Proc. 40th Annual German Conference on Advances in Artificial Intelligence (KI 2017), 193–206, 2017.
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2017 | Journal Article | LibreCat-ID: 10268
Platenius, M.-C., Ammar Shaker, M. Becker, Eyke Hüllermeier, and W. Schäfer. “Imprecise Matching of Requirements Specifications for Software Services Using Fuzzy Logic.” IEEE Transactions on Software Engineering 43, no. 8 (2017): 739–59.
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2017 | Mastersthesis | LibreCat-ID: 5724
Hetzer, Alexander, and Tanja Tornede. Solving the Container Pre-Marshalling Problem Using Reinforcement Learning and Structured Output Prediction. Paderborn, 2017.
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2017 | Conference Paper | LibreCat-ID: 71
Czech, Mike, Eyke Hüllermeier, Marie-Christine Jakobs, and Heike Wehrheim. “Predicting Rankings of Software Verification Tools.” In Proceedings of the 3rd International Workshop on Software Analytics, 23–26. SWAN’17, 2017. https://doi.org/10.1145/3121257.3121262.
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2017 | Conference Paper | LibreCat-ID: 115
Jakobs, Marie-Christine, Julia Krämer, Dirk van Straaten, and Theodor Lettmann. “Certification Matters for Service Markets.” In The Ninth International Conferences on Advanced Service Computing (SERVICE COMPUTATION), edited by Thomas Prinz Marcelo De Barros, Janusz Klink,Tadeus Uhl, 7–12, 2017.
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2017 | Conference Paper | LibreCat-ID: 10214
Wever, Marcel Dominik, Felix Mohr, and Eyke Hüllermeier. “Automatic Machine Learning: Hierarchical Planning Versus Evolutionary Optimization .” In Proceedings 27. Workshop Computational Intelligence, Dortmund, Germany 2017, 149–66, 2017.
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2017 | Conference Paper | LibreCat-ID: 10207
Czech, M., Eyke Hüllermeier, M.-C. Jakobs, and Heike Wehrheim. “Predicting Rankings of Software Verification Tools.” In Proc. 3rd ACM SIGSOFT Int. I Workshop on Software Analytics (SWAN@ESEC/SIGSOFT FSE 2017, 23–26, 2017.
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2017 | Journal Article | LibreCat-ID: 10269
Hüllermeier, Eyke. “From Knowledge-Based to Data-Driven Modeling of Fuzzy Rule-Based Systems: A Critical Reflection.” The Computing Research Repository  (CoRR), 2017.
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2017 | Conference Paper | LibreCat-ID: 3325
Melnikov, Vitalik, and Eyke Hüllermeier. “Optimizing the Structure of Nested Dichotomies: A Comparison of Two Heuristics.” In Proceedings. 27. Workshop Computational Intelligence, Dortmund, 23. - 24. November 2017. KIT Scientific Publishing, 2017. https://doi.org/10.5445/KSP/1000074341.
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2017 | Conference Paper | LibreCat-ID: 1158
Seemann, Nina, Marie-Luis Merten, Michaela Geierhos, Doris Tophinke, and Eyke Hüllermeier. “Annotation Challenges for Reconstructing the Structural Elaboration of Middle Low German.” In Proceedings of the Joint SIGHUM Workshop on Computational Linguistics for Cultural Heritage, Social Sciences, Humanities and Literature, 40–45. Stroudsburg, PA, USA: Association for Computational Linguistics (ACL), 2017. https://doi.org/10.18653/v1/W17-2206.
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2017 | Report | LibreCat-ID: 72
Czech, Mike, Eyke Hüllermeier, Marie-Christine Jakobs, and Heike Wehrheim. Predicting Rankings of Software Verification Competitions, 2017.
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2017 | Conference Paper | LibreCat-ID: 10208
Couso, Ines, D. Dubois, and Eyke Hüllermeier. “Maximum Likelihood Estimation and Coarse Data.” In Proc. 11th Int. Conf. on Scalable Uncertainty Management (SUM 2017), 3–16, 2017.
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2016 | Conference Paper | LibreCat-ID: 10228
Schäfer, Dirk, and Eyke Hüllermeier. “Preference-Based Reinforcement Learning Using Dyad Ranking.” 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: 10223
Melnikov, Vitaly, and Eyke Hüllermeier. “Learning to Aggregate Using Uninorms,  in Proceedings ECML/PKDD-2016.” In European Conference on Machine Learning and Knowledge Discovery in Databases, Part II, Riva Del Garda, Italy, 756–71, 2016.
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2016 | Conference Paper | LibreCat-ID: 10230
Lu, S., and Eyke Hüllermeier. “Support Vector Classification on Noisy Data Using Fuzzy Supersets Losses.” In Proceedings 26. Workshop Computational Intelligence, KIT Scientific Publishing, edited by F. Hoffmann, Eyke Hüllermeier, and R. Mikut, 1–8, 2016.
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2016 | Journal Article | LibreCat-ID: 10266
Riemenschneider, M., Robin Senge, U. Neumann, Eyke Hüllermeier, and D. Heider. “Exploiting HIV-1 Protease and Reverse Transcriptase Cross-Resistance Information for Improved Drug Resistance Prediction by Means of Multi-Label Classification.” BioData Mining 9, no. 10 (2016).
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2016 | Encyclopedia Article | LibreCat-ID: 10785
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 Paper | LibreCat-ID: 10224
Dembczynski, K., W. Kotlowski, W. Waegeman, Robert Busa-Fekete, and Eyke Hüllermeier. “Consistency of Probalistic Classifier Trees.” In In Proceedings ECML/PKDD European Conference on Maschine Learning and Knowledge Discovery in Databases, Part II, Riva Del Garda, Italy, 511–26, 2016.
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2016 | Conference Paper | LibreCat-ID: 10229
Couso, Ines, Mohsen Ahmadi Fahandar, and Eyke Hüllermeier. “Statistical Inference for Incomplete Ranking Data: A Comparison of Two Likelihood-Based Estimators.” 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: 10231
Schäfer, Dirk, and Eyke Hüllermeier. “Plackett-Luce Networks for Dyad Ranking.” In In Workshop LWDA “Lernen, Wissen, Daten, Analysen,” 2016.
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2016 | Conference Paper | LibreCat-ID: 15111
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: 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 | Conference Paper | LibreCat-ID: 10225
Shabani, Aulon, Adil Paul, R. Platon, and Eyke Hüllermeier. “Predicting the Electricity Consumption of Buildings: An Improved CBR Approach.” In In Proceedings ICCBR, 24th International Conference on Case-Based Reasoning, Atlanta, GA, USA, 356–69, 2016.
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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 | 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: 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: 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 | 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 | 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 | 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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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: 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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2015 | Conference Paper | LibreCat-ID: 319
Mohr, Felix, Alexander Jungmann, and Hans Kleine Büning. “Automated Online Service Composition.” In Proceedings of the 12th IEEE International Conference on Services Computing (SCC), 57--64, 2015. https://doi.org/10.1109/SCC.2015.18.
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2015 | Journal Article | LibreCat-ID: 4792
Senge, Robin, and Eyke Hüllermeier. “Fast Fuzzy Pattern Tree Learning for Classification.” IEEE Transactions on Fuzzy Systems 23, no. 6 (2015): 2024–33. https://doi.org/10.1109/tfuzz.2015.2396078.
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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: 10235
Hoffmann, F., and Eyke Hüllermeier. “Proceedings 25. Workshop Computational Intelligence KIT Scientific Publishing,” 2015.
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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: 10243
El Mesaoudi-Paul, Adil, and Eyke Hüllermeier. “A CBR Approach to the Angry Birds Game.” In In Workshop Proc. 23rd International Conference on Case-Based Reasoning (ICCBR 2015), 68–77, 2015.
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2015 | Conference Paper | LibreCat-ID: 10236
Abdel-Aziz, A., and Eyke Hüllermeier. “Case Base Maintenance in Preference-Based CBR.” In In Proceedings 23rd International Conference on Case-Based Reasoning (ICCBR 2015), 1–14, 2015.
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2015 | Journal Article | LibreCat-ID: 10320
Hüllermeier, Eyke. “Does Machine Learning Need Fuzzy Logic?” Fuzzy Sets and Systems 281 (2015): 292–99.
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2015 | Journal Article | LibreCat-ID: 323
Jungmann, Alexander, and Felix Mohr. “An Approach towards Adaptive Service Composition in Markets of Composed Services.” Journal of Internet Services and Applications, no. 1 (2015): 1–18. https://doi.org/10.1186/s13174-015-0022-8.
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2015 | Conference Paper | LibreCat-ID: 10244
Schäfer, Dirk, 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 (MetaSel@PKDD/ECML), 110–11, 2015.
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2015 | Conference Paper | LibreCat-ID: 10237
Szörényi, B., Robert Busa-Fekete, P. Weng, and Eyke Hüllermeier. “Qualitative Multi-Armed Bandits: A Quantile-Based Approach.” In In Proceedings International Conference on Machine Learning (ICML 2015), 1660–68, 2015.
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2015 | Journal Article | LibreCat-ID: 10319
Waegeman, W., K. Dembczynski, A. Jachnik, W. Cheng, and Eyke Hüllermeier. “On the Bayes-Optimality of F-Measure Maximizers.” In Journal of Machine Learning Research 15 (2015): 3333–88.
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2015 | Journal Article | LibreCat-ID: 10321
Shaker, Ammar, 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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2015 | Conference Paper | LibreCat-ID: 324
Mohr, Felix. “A Metric for Functional Reusability of Services.” In Proceedings of the 14th International Conference on Software Reuse (ICSR), 298--313. LNCS, 2015. https://doi.org/10.1007/978-3-319-14130-5_21.
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2015 | Conference Paper | LibreCat-ID: 280
Arifulina, Svetlana, Marie Christin Platenius, Felix Mohr, Gregor Engels, and Wilhelm Schäfer. “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, 333--340, 2015. https://doi.org/10.1109/SERVICES.2015.58.
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2015 | Conference Paper | LibreCat-ID: 10240
Henzgen, Sascha, and Eyke Hüllermeier. “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), 422–37, 2015.
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2015 | Conference Paper | LibreCat-ID: 10238
Schäfer, Dirk, and Eyke Hüllermeier. “Dyad Ranking Using A Bilinear Plackett-Luce Model.” In In Proceedings European Conference on Machine Learning and Knowledge Discovery in Databases (ECML/PKDD), 227–42, 2015.
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2015 | Conference Paper | LibreCat-ID: 10245
Lu, S., and Eyke Hüllermeier. “Locally Weighted Regression through Data Imprecisiation.” In Proceedings 25. Workshop Computational Intelligence, 97–104, 2015.
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2015 | Journal Article | LibreCat-ID: 10322
Hüllermeier, Eyke. “From Knowledge-Based to Data-Driven Fuzzy Modeling-Development, Criticism and Alternative Directions.” Informatik Spektrum 38, no. 6 (2015): 500–509.
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2015 | Conference Paper | LibreCat-ID: 10234
Hüllermeier, Eyke, and M. Minor. “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: 10241
Szörényi, B., Robert Busa-Fekete, Adil Paul, and Eyke Hüllermeier. “Online Rank Elicitation for Plackett-Luce: A Dueling Bandits Approach.” In In Advances in Neural Information Processing Systems 28 (NIPS 2015), 604–12, 2015.
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2015 | Conference Paper | LibreCat-ID: 10246
Ewerth, Ralph, A. Balz, J. Gehlhaar, K. Dembczynski, and Eyke Hüllermeier. “Depth Estimation in Monocular Images: Quantitative versus Qualitative Approaches.” In Proceedings 25. Workshop Computational Intelligence, 235–40, 2015.
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2015 | Conference Paper | LibreCat-ID: 10239
Hüllermeier, Eyke, and W. Cheng. “Superset Learning Based on Generalized Loss Minimization .” In In Proceedings European Conference on Machine Learning and Knowledge Discovery in Databases (ECML/PKDD), 260–75, 2015.
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2015 | Journal Article | LibreCat-ID: 10323
Garcia-Jimenez, S., U. Bustince, Eyke Hüllermeier, R. Mesiar, N.R. Pal, and A. Pradera. “Overlap Indices: Construction of and Application of Interpolative Fuzzy Systems.” IEEE Transactions on Fuzzy Systems 23, no. 4 (2015): 1259–73.
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2014 | Conference Paper | LibreCat-ID: 10254
Calders, T., F. Esposito, Eyke Hüllermeier, and R. Meo. “Machine Learning and Knowledge Discovery in Databases-European Conf. ECML/PKDD, Nancy, France.” In Proceedings, Parts I-III. Lecture Notes in Computer Science, 8724–26. Springer, 2014.
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2014 | Conference Paper | LibreCat-ID: 10247
Busa-Fekete, Robert, B. Szörényi, and Eyke Hüllermeier. “PAC Rank Elicitation through Adaptive Sampling of Stochastic Pairwise Preferences.” In Proceedings AAAI 2014, Quebec, Canada, 1701–7, 2014.
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2014 | Journal Article | LibreCat-ID: 10297
Hoffmann, F., Eyke Hüllermeier, and A. Kroll. “Ausgewählte Beiträge Des GMA-Fachausschusses 5.14.” Computational Intelligence Automatisierungstechnik 62, no. 10 (2014): 685–86.
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2014 | Journal Article | LibreCat-ID: 10312
Mernberger, M., M. Moog, S. Stork, S. Zauner, U.G. Maier, and Eyke Hüllermeier. “Protein Sub-Cellular Localization Prediction for Special Compartments via Optimized Time Series Distances.” J. Bioinformatics and Computational Biology 12, no. 1 (2014).
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2014 | Journal Article | LibreCat-ID: 10317
Krotzky, T., T. Fober, Eyke Hüllermeier, and G. Klebe. “Extended Graph-Based Models for Enhanced Similarity Search in Cavbase.” IEEE/ACM Trans. Comput. Biology Bioinform. 11, no. 5 (2014): 878–90.
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2014 | Conference Paper | LibreCat-ID: 447
Jungmann, Alexander, Felix Mohr, and Bernd Kleinjohann. “Combining Automatic Service Composition with Adaptive Service Recommendation for Dynamic Markets of Services.” In Proceedings of the 10th World Congress on Services (SERVICES), 346–53, 2014. https://doi.org/10.1109/SERVICES.2014.68.
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2014 | Conference Paper | LibreCat-ID: 353
Mohr, Felix, and Sven Walther. “Template-Based Generation of Semantic Services.” In Proceedings of the 14th International Conference on Software Reuse (ICSR), 188–203. LNCS, 2014. https://doi.org/10.1007/978-3-319-14130-5_14.
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2014 | Conference Paper | LibreCat-ID: 428
Mohr, Felix. “Estimating Functional Reusability of Services.” In Proceedings of the 12th International Conference on Service Oriented Computing (ICSOC), 411–18. LNCS, 2014.
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2014 | Conference Paper | LibreCat-ID: 10248
Busa-Fekete, Robert, and Eyke Hüllermeier. “A Survey of Preference-Based Online Learning with Bandit Algorithms.” In Proceedings Int. Conf. on Algorithmic Learning Theory (ALT), Bled, Slovenia, 18–39, 2014.
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2014 | Conference Paper | LibreCat-ID: 10250
Fallah Tehrani, A., M. Strickert, and Eyke Hüllermeier. “The Choquet Kernel for Monotone Data.” In Proceedings ESANN , Bruges, Belgium, 2014.
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2014 | Journal Article | LibreCat-ID: 10298
Calders, T., F. Esposito, Eyke Hüllermeier, and R. Meo. “Guest Editors`introduction:Special Issue of the ECML/PKDD 2014 Journal Track.” Data Min. Knowledge Discovery 28, no. 5–6 (2014): 1129–33.
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2014 | Journal Article | LibreCat-ID: 10318
Stock, M., T. Fober, Eyke Hüllermeier, S Glinca, G. Klebe, T. Pahikkala, A. Airola, B. De Baets, and W. Wageman. “Identification of Functionally Releated Enzymes by Learning to Rank Methods.” IEEE/ACM Trans. Comput. Biology Bioinform. 11, no. 6 (2014): 1157–69.
LibreCat
 

2014 | Journal Article | LibreCat-ID: 10313
Calders, T., F. Esposito, Eyke Hüllermeier, and R. Meo. “Guest Editors`introduction:Special Issue of the ECML/PKDD 2014 Journal Track.” Machine Learning 97, no. 1–2 (2014): 1–3.
LibreCat
 

2014 | Conference Paper | LibreCat-ID: 10251
Abdel-Aziz, A., M. Strickert, and Eyke Hüllermeier. “Learning Solution Similarity in Preference-Based CBR.” In Proceedings Int. Conf. Case-Based Reasoning (ICCBR), Cork, Ireland, 17–31, 2014.
LibreCat
 

2014 | Conference Paper | LibreCat-ID: 10249
Henzgen, Sascha, and Eyke Hüllermeier. “Mining Rank Data.” In Proceedings Discovery Science, Bled,Slovenia , 123–34, 2014.
LibreCat
 

2014 | Journal Article | LibreCat-ID: 10299
Henzgen, Sascha, M. Strickert, and Eyke Hüllermeier. “Visualization of Evolving Fuzzy Rule-Based Systems.” Evolving Systems 5, no. 3 (2014): 175–91.
LibreCat
 

2014 | Journal Article | LibreCat-ID: 10314
Busa-Fekete, Robert, B. Szörényi, P. Weng, W. Cheng, and Eyke Hüllermeier. “Preference-Based Reinforcement Learning: Evolutionary Direct Policy Search Using a Preference-Based Racing Algorithm.” Machine Learning 97, no. 3 (2014): 327–51.
LibreCat
 

2014 | Conference Paper | LibreCat-ID: 10295
Fürnkranz, J., Eyke Hüllermeier, Cynthia Rudin, Roman Slowinski, and Scott Sanner. “Preference Learning (Dagstuhl Seminar 14101) Dagstuhl Reports,” 4:1–27, 2014.
LibreCat
 

2014 | Journal Article | LibreCat-ID: 10308
Hüllermeier, Eyke. “Learning from Imprecise and Fuzzy Observations: Data Disambiguation through Generalized Loss Minimization.” Int. J. Approx. Reasoning 55, no. 7 (2014): 1519–34.
LibreCat
 

2014 | Journal Article | LibreCat-ID: 10315
Montanés, E., Robin Senge, J. Barranquero, J.R. Quevedo, J.J. Del Coz, and Eyke Hüllermeier. “Dependent Binary Relevance Models for Multi-Label Classification.” Pattern Recognition 47, no. 3 (2014): 1494–1508.
LibreCat
 

2014 | Journal Article | LibreCat-ID: 10310
Strickert, M., K. Bunte, F.- M. Schleif, and Eyke Hüllermeier. “Correlation-Based Embedding of Pairwise Score Data.” Neurocomputing 141 (2014): 97–109.
LibreCat
 

2014 | Conference Paper | LibreCat-ID: 457
Jungmann, Alexander, Felix Mohr, and Bernd Kleinjohann. “Applying Reinforcement Learning for Resolving Ambiguity in Service Composition.” In Proceedings of the 7th International Conference on Service Oriented Computing and Applications (SOCA), 105–12, 2014. https://doi.org/10.1109/SOCA.2014.48.
LibreCat | Files available | DOI
 

2014 | Conference Paper | LibreCat-ID: 10253
Schäfer, Dirk, and Eyke Hüllermeier. “Dyad Ranking Using A Bilinear Plackett-Luce Model.” In Proceedings Lernen-Wissensentdeckung-Adaptivität (LWA), Aachen, Germany, 32–33, 2014.
LibreCat
 

2014 | Journal Article | LibreCat-ID: 10309
Hüllermeier, Eyke. “Rejoinder on "Learning from Imprecise and Fuzzy Observations: Data Disambiguation through Generalized Loss Minimization.” Int. J. Approx. Reasoning 55, no. 7 (2014): 1609–13.
LibreCat
 

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