| Preference-based online learning with dueling bandits: A survey V Bengs, R Busa-Fekete, A El Mesaoudi-Paul, E Hüllermeier Journal of Machine Learning Research 22 (7), 1-108, 2021 | 118 | 2021 |
| Online rank elicitation for plackett-luce: A dueling bandits approach B Szörényi, R Busa-Fekete, A Paul, E Hüllermeier Advances in neural information processing systems 28, 2015 | 102 | 2015 |
| Pool-based realtime algorithm configuration: A preselection bandit approach A El Mesaoudi-Paul, D Weiß, V Bengs, E Hüllermeier, K Tierney Learning and Intelligent Optimization: 14th International Conference, LION …, 2020 | 14 | 2020 |
| Predicting the electricity consumption of buildings: an improved CBR approach A Shabani, A Paul, R Platon, E Hüllermeier Case-Based Reasoning Research and Development: 24th International Conference …, 2016 | 8 | 2016 |
| Ranking distributions based on noisy sorting A El Mesaoudi-Paul, E Hüllermeier, R Busa-Fekete International Conference on Machine Learning, 3472-3480, 2018 | 6 | 2018 |
| Online preselection with context information under the plackett-luce model AE Mesaoudi-Paul, V Bengs, E Hüllermeier arXiv preprint arXiv:2002.04275, 2020 | 4 | 2020 |
| A CBR Approach to the Angry Birds Game. A Paul, E Hüllermeier ICCBR (Workshops), 68-77, 2015 | 4 | 2015 |
| Online F-measure optimization B Szörényi, R Busa-Fekete, A Paul, E Hüllermeier MIT Press, 2015 | | 2015 |
| Random tournaments: who plays with whom and how many times? A Paul, R Busa-Fekete, E Hüllermeier | | |
Eyke HüllermeierProfessor of Computer Science, Paderborn UniversityVerified email at upb.de
