Please note that LibreCat no longer supports Internet Explorer versions 8 or 9 (or earlier).
We recommend upgrading to the latest Internet Explorer, Google Chrome, or Firefox.
448 Publications
2018 | Journal Article | LibreCat-ID: 16038
Schäfer, D., and Eyke Hüllermeier. “Dyad Ranking Using Plackett-Luce Models Based on Joint Feature Representations.” Machine Learning, vol. 107, no. 5, 2018, pp. 903–41.
LibreCat
2018 | Conference Paper | LibreCat-ID: 10145
Ahmadi Fahandar, Mohsen, and Eyke Hüllermeier. “Learning to Rank Based on Analogical Reasoning.” Proc. 32 Nd AAAI Conference on Artificial Intelligence (AAAI), 2018, pp. 2951–58.
LibreCat
2018 | Conference Paper | LibreCat-ID: 10148
El Mesaoudi-Paul, Adil, et al. “Ranking Distributions Based on Noisy Sorting.” Proc. 35th Int. Conference on Machine Learning (ICML), Verlagsschriftenreihe des Heinz Nixdorf Instituts, Paderborn, 2018, pp. 3469–77.
LibreCat
2018 | Conference Paper | LibreCat-ID: 10149
Hesse, M., et al. “A Reinforcement Learning Strategy for the Swing-Up of the Double Pendulum on a Cart.” Proc. 4th Int. Conference on System-Integrated Intelligence: Intelligent, Flexible and Connected Systems in Products and Production, Procedia Manufacturing 24, 2018, pp. 15–20.
LibreCat
2018 | Book Chapter | LibreCat-ID: 10152
Mencia, E. Loz., et al. “Learning Interpretable Rules for Multi-Label Classification.” Explainable and Interpretable Models in Computer Vision and Machine Learning, edited by H. Jair Escalante et al., Springer, 2018, pp. 81–113.
LibreCat
2018 | Conference Paper | LibreCat-ID: 10181
Nguyen, Vu-Linh, et al. “Reliable Multi-Class Classification Based on Pairwise Epistemic and Aleatoric Uncertainty.” Proc. 27th Int.Joint Conference on Artificial Intelligence (IJCAI), 2018, pp. 5089–95.
LibreCat
2018 | Conference Paper | LibreCat-ID: 10184
Schäfer, Dirk, and Eyke Hüllermeier. “Preference-Based Reinforcement Learning Using Dyad Ranking.” Proc. 21st Int. Conference on Discovery Science (DS), 2018, pp. 161–75.
LibreCat
2018 | Journal Article | LibreCat-ID: 10276
Schäfer, Dirk, and Eyke Hüllermeier. “Dyad Ranking Using Plackett-Luce Models Based on Joint Feature Representations.” Machine Learning, vol. 107, no. 5, 2018, pp. 903–41.
LibreCat
2018 | Conference Abstract | LibreCat-ID: 1379 | 
Seemann, Nina, et al. “Supporting the Cognitive Process in Annotation Tasks.” Postersession Computerlinguistik der 40. Jahrestagung der Deutschen Gesellschaft für Sprachwissenschaft, edited by Kerstin Eckart and Dominik Schlechtweg, 2018.
LibreCat
| Files available
| Download (ext.)
2018 | Journal Article | LibreCat-ID: 22996
Hesse, Michael, et al. “A Reinforcement Learning Strategy for the Swing-Up of the Double Pendulum on a Cart.” Procedia Manufacturing, vol. 24, 2018, pp. 15–20.
LibreCat
2017 | Conference Paper | LibreCat-ID: 3325
Melnikov, Vitalik, and Eyke Hüllermeier. “Optimizing the Structure of Nested Dichotomies: A Comparison of Two Heuristics.” Proceedings. 27. Workshop Computational Intelligence, Dortmund, 23. - 24. November 2017, KIT Scientific Publishing, 2017, doi:10.5445/KSP/1000074341.
LibreCat
| Files available
| DOI
2017 | Conference Paper | LibreCat-ID: 71
Czech, Mike, et al. “Predicting Rankings of Software Verification Tools.” Proceedings of the 3rd International Workshop on Software Analytics, 2017, pp. 23–26, doi:10.1145/3121257.3121262.
LibreCat
| Files available
| DOI
2017 | Report | LibreCat-ID: 72
Czech, Mike, et al. Predicting Rankings of Software Verification Competitions. 2017.
LibreCat
| Files available
2017 | Encyclopedia Article | LibreCat-ID: 10589
Fürnkranz, J., and Eyke Hüllermeier. “Preference Learning.” Encyclopedia of Machine Learning and Data Mining, 2017, pp. 1000–05.
LibreCat
2017 | Book Chapter | LibreCat-ID: 10784
Fürnkranz, J., and Eyke Hüllermeier. “Preference Learning.” Encyclopedia of Machine Learning and Data Mining, edited by C. Sammut and G.I. Webb, vol. 107, Springer, 2017, pp. 1000–05.
LibreCat
2017 | Conference Paper | LibreCat-ID: 1180 |
Wever, Marcel Dominik, et al. “Automatic Machine Learning: Hierachical Planning Versus Evolutionary Optimization.” 27th Workshop Computational Intelligence, 2017.
LibreCat
| Files available
| Download (ext.)
2017 | Conference Paper | LibreCat-ID: 15397
Melnikov, Vitaly, and Eyke Hüllermeier. “Optimizing the Structure of Nested Dichotomies. A Comparison of Two Heuristics.” In Proceedings 27th Workshop Computational Intelligence, Dortmund Germany, edited by F. Hoffmann et al., KIT Scientific Publishing, 2017, pp. 1–12.
LibreCat
2017 | Conference Paper | LibreCat-ID: 15399
Czech, M., et al. “Predicting Rankings of Software Verification Tools.” In Proceedings ESEC/FSE Workshops 2017 - 3rd ACM SIGSOFT, International Workshop on Software Analytics (SWAN 2017), Paderborn Germany, 2017.
LibreCat
2017 | Conference Paper | LibreCat-ID: 15110
Couso, Ines, et al. “Maximum Likelihood Estimation and Coarse Data.” In Proceedings SUM 2017, 11th International Conference on Scalable Uncertainty Management, Granada, Spain, Springer, 2017, pp. 3–16.
LibreCat
2017 | Conference Paper | LibreCat-ID: 10204
Ewerth, Ralph, et al. “Estimating Relative Depth in Single Images via Rankboost.” Proc. IEEE Int. Conf. on Multimedia and Expo (ICME 2017), 2017, pp. 919–24.
LibreCat