Stochastic dominance-based rough set model for ordinal classification W Kot³owski, K Dembczyñski, S Greco, R S³owiñski Information Sciences 178 (21), 4019-4037, 2008 | 160 | 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 | 129 | 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 | 104 | 2011 |

Predicting ads clickthrough rate with decision rules K Dembczynski, W Kotlowski, D Weiss Workshop on targeting and ranking in online advertising 2008, 2008 | 90 | 2008 |

ENDER: a statistical framework for boosting decision rules K Dembczyñski, W Kot³owski, R S³owiñski Data Mining and Knowledge Discovery 21, 52-90, 2010 | 86 | 2010 |

On nonparametric ordinal classification with monotonicity constraints W Kotlowski, R Slowinski IEEE Transactions on Knowledge and Data Engineering 25 (11), 2576-2589, 2012 | 76 | 2012 |

Rule learning with monotonicity constraints W Kot³owski, R S³owiñski Proceedings of the 26th Annual International Conference on Machine Learning …, 2009 | 72 | 2009 |

Maximum likelihood rule ensembles K Dembczyñski, W Kot³owski, R S³owiñski Proceedings of the 25th international conference on Machine learning, 224-231, 2008 | 62 | 2008 |

Maximum likelihood rule ensembles K Dembczyñski, W Kot³owski, R S³owiñski Proceedings of the 25th international conference on Machine learning, 224-231, 2008 | 62 | 2008 |

Quantum learning: asymptotically optimal classification of qubit states M Guþã, W Kot³owski New Journal of Physics 12 (12), 123032, 2010 | 59 | 2010 |

Online PCA with optimal regret J Nie, W Kot³owski, MK Warmuth The Journal of Machine Learning Research 17 (1), 6022-6070, 2016 | 57 | 2016 |

Follow the leader with dropout perturbations T Van Erven, W Kot³owski, MK Warmuth Conference on Learning Theory, 949-974, 2014 | 55 | 2014 |

Consistent multilabel ranking through univariate losses K Dembczynski, W Kotlowski, E Hüllermeier arXiv preprint arXiv:1206.6401, 2012 | 53 | 2012 |

Ordinal classification with decision rules K Dembczyñski, W Kot³owski, R S³owiñski Mining Complex Data: ECML/PKDD 2007 Third International Workshop, MCD 2007 …, 2008 | 40 | 2008 |

Statistical model for rough set approach to multicriteria classification K Dembczyñski, S Greco, W Kot³owski, R S³owiñski Knowledge Discovery in Databases: PKDD 2007: 11th European Conference on …, 2007 | 39 | 2007 |

Learning rule ensembles for ordinal classification with monotonicity constraints K Dembczyñski, R S³owiñski Fundamenta Informaticae 94 (2), 163-178, 2009 | 34 | 2009 |

Solving regression by learning an ensemble of decision rules K Dembczyñski, W Kot³owski, R S³owiñski Artificial Intelligence and Soft Computing–ICAISC 2008: 9th International …, 2008 | 34 | 2008 |

The many faces of exponential weights in online learning D Hoeven, T Erven, W Kot³owski Conference On Learning Theory, 2067-2092, 2018 | 32 | 2018 |

Surrogate regret bounds for generalized classification performance metrics W Kotlowski, K Dembczyñski Asian Conference on Machine Learning, 301-316, 2016 | 29 | 2016 |

Adaptive scale-invariant online algorithms for learning linear models M Kempka, W Kotlowski, MK Warmuth International conference on machine learning, 3321-3330, 2019 | 28 | 2019 |