Stochastic dominance-based rough set model for ordinal classification W Kotłowski, K Dembczyński, S Greco, R Słowiński Information Sciences 178 (21), 4019-4037, 2008 | 143 | 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 | 106 | 2013 |

Bipartite ranking through minimization of univariate loss W Kotlowski, K Dembczynski, E Huellermeier ICML, 2011 | 87 | 2011 |

Predicting ads clickthrough rate with decision rules K Dembczynski, W Kotlowski, D Weiss Workshop on targeting and ranking in online advertising 2008, 2008 | 84 | 2008 |

On nonparametric ordinal classification with monotonicity constraints W Kotlowski, R Slowinski IEEE Transactions on Knowledge and Data Engineering 25 (11), 2576-2589, 2012 | 65 | 2012 |

Ender: a statistical framework for boosting decision rules K Dembczyński, W Kotłowski, R Słowiński Data Mining and Knowledge Discovery 21 (1), 52-90, 2010 | 64 | 2010 |

Rule learning with monotonicity constraints W Kotłowski, R Słowiński Proceedings of the 26th Annual International Conference on Machine Learning …, 2009 | 62 | 2009 |

Follow the leader with dropout perturbations T Van Erven, W Kotłowski, MK Warmuth Conference on Learning Theory, 949-974, 2014 | 49 | 2014 |

Online PCA with optimal regret J Nie, W Kotłowski, MK Warmuth The Journal of Machine Learning Research 17 (1), 6022-6070, 2016 | 47 | 2016 |

Maximum likelihood rule ensembles K Dembczyński, W Kotłowski, R Słowiński Proceedings of the 25th international conference on Machine learning, 224-231, 2008 | 44 | 2008 |

Maximum likelihood rule ensembles K Dembczyński, W Kotłowski, R Słowiński Proceedings of the 25th international conference on Machine learning, 224-231, 2008 | 44 | 2008 |

Consistent multilabel ranking through univariate losses K Dembczynski, W Kotlowski, E Hüllermeier arXiv preprint arXiv:1206.6401, 2012 | 40 | 2012 |

Quantum learning: asymptotically optimal classification of qubit states M Guţă, W Kotłowski New Journal of Physics 12 (12), 123032, 2010 | 39 | 2010 |

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 | 37 | 2007 |

Learning rule ensembles for ordinal classification with monotonicity constraints K Dembczyński, R Słowiński Fundamenta Informaticae 94 (2), 163-178, 2009 | 32 | 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 |

Ordinal classification with decision rules K Dembczyński, W Kotłowski, R Słowiński International Workshop on Mining Complex Data, 169-181, 2007 | 29 | 2007 |

Learning of rule ensembles for multiple attribute ranking problems K Dembczyński, W Kotłowski, R Słowiński, M Szeląg Preference learning, 217-247, 2010 | 25 | 2010 |

Horizon-independent optimal prediction with log-loss in exponential families P Bartlett, P Grünwald, P Harremoës, F Hedayati, W Kotlowski Conference on Learning Theory, 639-661, 2013 | 20 | 2013 |

Ensemble of decision rules for ordinal classification with monotonicity constraints K Dembczyński, W Kotłowski, R Słowiński International Conference on Rough Sets and Knowledge Technology, 260-267, 2008 | 20 | 2008 |