Stochastic dominance-based rough set model for ordinal classification W Kotłowski, K Dembczyński, S Greco, R Słowiński Information Sciences 178 (21), 4019-4037, 2008 | 172 | 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 | 133 | 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 | 107 | 2011 |

Predicting ads click-through rate with decision rules K Dembczynski, W Kotlowski, D Weiss Workshop on targeting and ranking in online advertising 2008, 2008 | 93 | 2008 |

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

On nonparametric ordinal classification with monotonicity constraints W Kotlowski, R Slowinski IEEE Transactions on Knowledge and Data Engineering 25 (11), 2576-2589, 2012 | 83 | 2012 |

Rule learning with monotonicity constraints W Kotłowski, R Słowiński Proceedings of the 26th Annual International Conference on Machine Learning …, 2009 | 77 | 2009 |

Online PCA with optimal regret J Nie, W Kotłowski, MK Warmuth The Journal of Machine Learning Research 17 (1), 6022-6070, 2016 | 64 | 2016 |

Consistent multilabel ranking through univariate losses K Dembczynski, W Kotlowski, E Hüllermeier arXiv preprint arXiv:1206.6401, 2012 | 63 | 2012 |

Maximum likelihood rule ensembles K Dembczyński, W Kotłowski, R Słowiński Proceedings of the 25th international conference on Machine learning, 224-231, 2008 | 63 | 2008 |

Quantum learning: asymptotically optimal classification of qubit states M Guţă, W Kotłowski New Journal of Physics 12 (12), 123032, 2010 | 61 | 2010 |

Follow the leader with dropout perturbations T Van Erven, W Kotłowski, MK Warmuth Conference on Learning Theory, 949-974, 2014 | 56 | 2014 |

Ordinal classification with decision rules K Dembczyński, W Kotłowski, R Słowiński Mining Complex Data: ECML/PKDD 2007 Third International Workshop, MCD 2007 …, 2008 | 44 | 2008 |

The many faces of exponential weights in online learning D Hoeven, T Erven, W Kotłowski Conference On Learning Theory, 2067-2092, 2018 | 41 | 2018 |

Statistical model for rough set approach to multicriteria classification K Dembczyński, S Greco, W Kotłowski, R Słowiński Knowledge Discovery in Databases: PKDD 2007: 11th European Conference on …, 2007 | 41 | 2007 |

Solving regression by learning an ensemble of decision rules K Dembczyński, W Kotłowski, R Słowiński Artificial Intelligence and Soft Computing–ICAISC 2008: 9th International …, 2008 | 36 | 2008 |

Adaptive scale-invariant online algorithms for learning linear models M Kempka, W Kotlowski, MK Warmuth International conference on machine learning, 3321-3330, 2019 | 35 | 2019 |

Learning rule ensembles for ordinal classification with monotonicity constraints K Dembczyński, R Słowiński Fundamenta Informaticae 94 (2), 163-178, 2009 | 35 | 2009 |

Consistency analysis for binary classification revisited K Dembczyński, W Kotłowski, O Koyejo, N Natarajan International Conference on Machine Learning, 961-969, 2017 | 34 | 2017 |

Surrogate regret bounds for generalized classification performance metrics W Kotlowski, K Dembczyński Asian Conference on Machine Learning, 301-316, 2016 | 31 | 2016 |