| Label ranking by learning pairwise preferences E Hüllermeier, J Fürnkranz, W Cheng, K Brinker Artificial Intelligence 172 (16-17), 1897-1916, 2008 | 721 | 2008 |
| Bayes optimal multilabel classification via probabilistic classifier chains W Cheng, E Hüllermeier, KJ Dembczynski Proceedings of the 27th international conference on machine learning (ICML …, 2010 | 643 | 2010 |
| Combining instance-based learning and logistic regression for multilabel classification W Cheng, E Hüllermeier Machine Learning 76, 211-225, 2009 | 561 | 2009 |
| On label dependence and loss minimization in multi-label classification K Dembczyński, W Waegeman, W Cheng, E Hüllermeier Machine Learning 88, 5-45, 2012 | 486 | 2012 |
| Preference-based reinforcement learning: a formal framework and a policy iteration algorithm J Fürnkranz, E Hüllermeier, W Cheng, SH Park Machine learning 89, 123-156, 2012 | 178 | 2012 |
| Decision tree and instance-based learning for label ranking W Cheng, J Hühn, E Hüllermeier Proceedings of the 26th annual international conference on machine learning …, 2009 | 176 | 2009 |
| An Exact Algorithm for F-Measure Maximization K Dembczynsk, W Waegeman, W Cheng, H Eyke The 25th Annual Conference on Neural Information Processing Systems, 0 | 154* | |
| Learning monotone nonlinear models using the Choquet integral A Fallah Tehrani, W Cheng, K Dembczyński, E Hüllermeier Machine Learning 89, 183-211, 2012 | 152 | 2012 |
| Label ranking methods based on the Plackett-Luce model W Cheng, E Hüllermeier, KJ Dembczynski Proceedings of the 27th International Conference on Machine Learning (ICML …, 2010 | 130 | 2010 |
| Top-k selection based on adaptive sampling of noisy preferences R Busa-Fekete, B Szorenyi, W Cheng, P Weng, E Hüllermeier International Conference on Machine Learning, 1094-1102, 2013 | 94 | 2013 |
| Multilabel classification for exploiting cross-resistance information in HIV-1 drug resistance prediction D Heider, R Senge, W Cheng, E Hüllermeier Bioinformatics 29 (16), 1946-1952, 2013 | 88 | 2013 |
| Preference learning using the Choquet integral: The case of multipartite ranking AF Tehrani, W Cheng, E Hullermeier IEEE Transactions on Fuzzy Systems 20 (6), 1102-1113, 2012 | 88 | 2012 |
| Automated feature generation from structured knowledge W Cheng, G Kasneci, T Graepel, D Stern, R Herbrich Proceedings of the 20th ACM international conference on Information and …, 2011 | 88 | 2011 |
| On the bayes-optimality of f-measure maximizers W Waegeman, K Dembczyński, A Jachnik, W Cheng, E Hüllermeier Journal of Machine Learning Research 15, 3333-3388, 2014 | 82 | 2014 |
| Predicting partial orders: ranking with abstention W Cheng, M Rademaker, B De Baets, E Hüllermeier Machine Learning and Knowledge Discovery in Databases: European Conference …, 2010 | 82 | 2010 |
| Regret analysis for performance metrics in multi-label classification: the case of hamming and subset zero-one loss K Dembczyński, W Waegeman, W Cheng, E Hüllermeier Machine Learning and Knowledge Discovery in Databases: European Conference …, 2010 | 74 | 2010 |
| Preference-based reinforcement learning: evolutionary direct policy search using a preference-based racing algorithm R Busa-Fekete, B Szörényi, P Weng, W Cheng, E Hüllermeier Machine learning 97, 327-351, 2014 | 70 | 2014 |
| Graded multilabel classification: The ordinal case W Cheng, E Hüllermeier, KJ Dembczynski Proceedings of the 27th international conference on machine learning (ICML …, 2010 | 69 | 2010 |
| Superset learning based on generalized loss minimization E Hüllermeier, W Cheng Machine Learning and Knowledge Discovery in Databases: European Conference …, 2015 | 68 | 2015 |
| Preference-based policy iteration: Leveraging preference learning for reinforcement learning W Cheng, J Fürnkranz, E Hüllermeier, SH Park Machine Learning and Knowledge Discovery in Databases: European Conference …, 2011 | 65 | 2011 |
Eyke HüllermeierProfessor of Computer Science, Paderborn University在 upb.de 的电子邮件经过验证
