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Wojciech Kot³owski
Wojciech Kot³owski
Verified email at cs.put.poznan.pl
Title
Cited by
Cited by
Year
Stochastic dominance-based rough set model for ordinal classification
W Kot³owski, K Dembczyñski, S Greco, R S³owiñski
Information Sciences 178 (21), 4019-4037, 2008
1732008
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
1362013
Bipartite ranking through minimization of univariate loss
W Kotlowski, KJ Dembczynski, E Huellermeier
Proceedings of the 28th International Conference on Machine Learning (ICML …, 2011
1102011
Predicting ads click-through rate with decision rules
K Dembczynski, W Kotlowski, D Weiss
Workshop on targeting and ranking in online advertising 2008, 2008
932008
ENDER: a statistical framework for boosting decision rules
K Dembczyñski, W Kot³owski, R S³owiñski
Data Mining and Knowledge Discovery 21, 52-90, 2010
912010
On nonparametric ordinal classification with monotonicity constraints
W Kotlowski, R Slowinski
IEEE Transactions on Knowledge and Data Engineering 25 (11), 2576-2589, 2012
842012
Rule learning with monotonicity constraints
W Kot³owski, R S³owiñski
Proceedings of the 26th Annual International Conference on Machine Learning …, 2009
772009
Online PCA with optimal regret
J Nie, W Kot³owski, MK Warmuth
The Journal of Machine Learning Research 17 (1), 6022-6070, 2016
662016
Consistent multilabel ranking through univariate losses
K Dembczynski, W Kotlowski, E Hüllermeier
arXiv preprint arXiv:1206.6401, 2012
662012
Quantum learning: asymptotically optimal classification of qubit states
M Guþã, W Kot³owski
New Journal of Physics 12 (12), 123032, 2010
642010
Maximum likelihood rule ensembles
K Dembczyñski, W Kot³owski, R S³owiñski
Proceedings of the 25th international conference on Machine learning, 224-231, 2008
642008
Follow the leader with dropout perturbations
T Van Erven, W Kot³owski, MK Warmuth
Conference on Learning Theory, 949-974, 2014
572014
The many faces of exponential weights in online learning
D Hoeven, T Erven, W Kot³owski
Conference On Learning Theory, 2067-2092, 2018
442018
Ordinal classification with decision rules
K Dembczyñski, W Kot³owski, R S³owiñski
Mining Complex Data: ECML/PKDD 2007 Third International Workshop, MCD 2007 …, 2008
442008
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
412007
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
372008
Adaptive scale-invariant online algorithms for learning linear models
M Kempka, W Kotlowski, MK Warmuth
International conference on machine learning, 3321-3330, 2019
362019
Learning rule ensembles for ordinal classification with monotonicity constraints
K Dembczyñski, R S³owiñski
Fundamenta Informaticae 94 (2), 163-178, 2009
362009
Consistency analysis for binary classification revisited
K Dembczyñski, W Kot³owski, O Koyejo, N Natarajan
International Conference on Machine Learning, 961-969, 2017
342017
Surrogate regret bounds for generalized classification performance metrics
W Kotlowski, K Dembczyñski
Asian Conference on Machine Learning, 301-316, 2016
312016
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