| Stochastic dominance-based rough set model for ordinal classification W Kotłowski, K Dembczyński, S Greco, R Słowiński Information Sciences 178 (21), 4019-4037, 2008 | 150 | 2008 |
| Optimizing the F-measure in multi-label classification: Plug-in rule approach versus structured loss minimization K Dembczynski, A Jachnik, W Kotlowski, W Waegeman, E Hüllermeier International conference on machine learning, 1130-1138, 2013 | 118 | 2013 |
| Bipartite ranking through minimization of univariate loss W Kotlowski, KJ Dembczynski, E Huellermeier Proceedings of the 28th International Conference on Machine Learning (ICML …, 2011 | 91 | 2011 |
| Predicting ads clickthrough rate with decision rules K Dembczynski, W Kotlowski, D Weiss Workshop on targeting and ranking in online advertising 2008, 2008 | 89 | 2008 |
| Ender: a statistical framework for boosting decision rules K Dembczyński, W Kotłowski, R Słowiński Data Mining and Knowledge Discovery 21 (1), 52-90, 2010 | 76 | 2010 |
| On nonparametric ordinal classification with monotonicity constraints W Kotlowski, R Slowinski IEEE Transactions on Knowledge and Data Engineering 25 (11), 2576-2589, 2012 | 70 | 2012 |
| Rule learning with monotonicity constraints W Kotłowski, R Słowiński Proceedings of the 26th Annual International Conference on Machine Learning …, 2009 | 69 | 2009 |
| Maximum likelihood rule ensembles K Dembczyński, W Kotłowski, R Słowiński Proceedings of the 25th international conference on Machine learning, 224-231, 2008 | 56 | 2008 |
| Maximum likelihood rule ensembles K Dembczyński, W Kotłowski, R Słowiński Proceedings of the 25th international conference on Machine learning, 224-231, 2008 | 56 | 2008 |
| Online PCA with optimal regret J Nie, W Kotłowski, MK Warmuth The Journal of Machine Learning Research 17 (1), 6022-6070, 2016 | 53 | 2016 |
| Follow the leader with dropout perturbations T Van Erven, W Kotłowski, MK Warmuth Conference on Learning Theory, 949-974, 2014 | 52 | 2014 |
| Quantum learning: asymptotically optimal classification of qubit states M Guţă, W Kotłowski New Journal of Physics 12 (12), 123032, 2010 | 50 | 2010 |
| Consistent multilabel ranking through univariate losses K Dembczynski, W Kotlowski, E Hüllermeier arXiv preprint arXiv:1206.6401, 2012 | 43 | 2012 |
| Statistical model for rough set approach to multicriteria classification K Dembczyński, S Greco, W Kotłowski, R Słowiński European Conference on Principles of Data Mining and Knowledge Discovery …, 2007 | 39 | 2007 |
| Ordinal classification with decision rules K Dembczyński, W Kotłowski, R Słowiński International Workshop on Mining Complex Data, 169-181, 2007 | 38 | 2007 |
| Learning rule ensembles for ordinal classification with monotonicity constraints K Dembczyński, R Słowiński Fundamenta Informaticae 94 (2), 163-178, 2009 | 36 | 2009 |
| Solving regression by learning an ensemble of decision rules K Dembczyński, W Kotłowski, R Słowiński International Conference on Artificial Intelligence and Soft Computing, 533-544, 2008 | 30 | 2008 |
| Adaptive scale-invariant online algorithms for learning linear models M Kempka, W Kotlowski, MK Warmuth International Conference on Machine Learning, 3321-3330, 2019 | 26 | 2019 |
| Learning of rule ensembles for multiple attribute ranking problems K Dembczyński, W Kotłowski, R Słowiński, M Szeląg Preference learning, 217-247, 2010 | 25 | 2010 |
| Surrogate regret bounds for generalized classification performance metrics W Kotlowski, K Dembczyński Asian Conference on Machine Learning, 301-316, 2016 | 24 | 2016 |
