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2020 – today
- 2024
[c50]Erik Schultheis, Wojciech Kotlowski, Marek Wydmuch, Rohit Babbar, Strom Borman, Krzysztof Dembczynski:
Consistent algorithms for multi-label classification with macro-at-k metrics. ICLR 2024- [c49]Wojciech Kotlowski, Marek Wydmuch, Erik Schultheis, Rohit Babbar, Krzysztof Dembczynski:
A General Online Algorithm for Optimizing Complex Performance Metrics. ICML 2024 - [i16]Erik Schultheis, Wojciech Kotlowski, Marek Wydmuch, Rohit Babbar, Strom Borman, Krzysztof Dembczynski:
Consistent algorithms for multi-label classification with macro-at-k metrics. CoRR abs/2401.16594 (2024) - [i15]Wojciech Kotlowski, Marek Wydmuch, Erik Schultheis, Rohit Babbar, Krzysztof Dembczynski:
A General Online Algorithm for Optimizing Complex Performance Metrics. CoRR abs/2406.14743 (2024) - 2023
- [c48]Erik Schultheis, Marek Wydmuch, Wojciech Kotlowski, Rohit Babbar, Krzysztof Dembczynski:
Generalized test utilities for long-tail performance in extreme multi-label classification. NeurIPS 2023 - [i14]Erik Schultheis, Marek Wydmuch, Wojciech Kotlowski, Rohit Babbar, Krzysztof Dembczynski:
Generalized test utilities for long-tail performance in extreme multi-label classification. CoRR abs/2311.05081 (2023) - 2022
- [c47]Erik Schultheis
, Marek Wydmuch, Rohit Babbar, Krzysztof Dembczynski:
On Missing Labels, Long-tails and Propensities in Extreme Multi-label Classification. KDD 2022: 1547-1557 - [c46]Róbert Busa-Fekete, Heejin Choi, Krzysztof Dembczynski, Claudio Gentile, Henry Reeve, Balázs Szörényi:
Regret Bounds for Multilabel Classification in Sparse Label Regimes. NeurIPS 2022 - [c45]Thomas Mortier, Eyke Hüllermeier, Krzysztof Dembczynski, Willem Waegeman:
Set-valued prediction in hierarchical classification with constrained representation complexity. UAI 2022: 1392-1401 - [i13]Thomas Mortier, Eyke Hüllermeier, Krzysztof Dembczynski, Willem Waegeman:
Set-valued prediction in hierarchical classification with constrained representation complexity. CoRR abs/2203.06676 (2022) - [i12]Erik Schultheis, Marek Wydmuch, Rohit Babbar, Krzysztof Dembczynski:
On Missing Labels, Long-tails and Propensities in Extreme Multi-label Classification. CoRR abs/2207.13186 (2022) - 2021
- [j13]Thomas Mortier, Marek Wydmuch, Krzysztof Dembczynski, Eyke Hüllermeier, Willem Waegeman:
Efficient set-valued prediction in multi-class classification. Data Min. Knowl. Discov. 35(4): 1435-1469 (2021) - [c44]Marek Wydmuch, Kalina Jasinska-Kobus, Devanathan Thiruvenkatachari, Krzysztof Dembczynski:
Online probabilistic label trees. AISTATS 2021: 1801-1809 - [c43]Marek Wydmuch, Kalina Jasinska-Kobus, Rohit Babbar, Krzysztof Dembczynski:
Propensity-scored Probabilistic Label Trees. SIGIR 2021: 2252-2256 - [i11]Marek Wydmuch, Kalina Jasinska-Kobus, Rohit Babbar, Krzysztof Dembczynski:
Propensity-scored Probabilistic Label Trees. CoRR abs/2110.10803 (2021) - 2020
- [i10]Kalina Jasinska-Kobus, Marek Wydmuch, Devanathan Thiruvenkatachari, Krzysztof Dembczynski:
Online probabilistic label trees. CoRR abs/2007.04451 (2020) - [i9]Kalina Jasinska-Kobus, Marek Wydmuch, Krzysztof Dembczynski, Mikhail Kuznetsov, Róbert Busa-Fekete:
Probabilistic Label Trees for Extreme Multi-label Classification. CoRR abs/2009.11218 (2020)
2010 – 2019
- 2019
- [j12]Willem Waegeman, Krzysztof Dembczynski, Eyke Hüllermeier:
Multi-target prediction: a unifying view on problems and methods. Data Min. Knowl. Discov. 33(2): 293-324 (2019) - [c42]Thomas Mortier, Marek Wydmuch, Krzysztof Dembczynski, Eyke Hüllermeier, Willem Waegeman:
Set-Valued Prediction in Multi-Class Classification. BNAIC/BENELEARN 2019 - [i8]Róbert Busa-Fekete, Krzysztof Dembczynski, Alexander Golovnev, Kalina Jasinska, Mikhail Kuznetsov, Maxim Sviridenko, Chao Xu:
On the computational complexity of the probabilistic label tree algorithms. CoRR abs/1906.00294 (2019) - [i7]Thomas Mortier, Marek Wydmuch, Eyke Hüllermeier, Krzysztof Dembczynski, Willem Waegeman:
Efficient Algorithms for Set-Valued Prediction in Multi-Class Classification. CoRR abs/1906.08129 (2019) - 2018
- [c41]Marek Wydmuch, Kalina Jasinska, Mikhail Kuznetsov, Róbert Busa-Fekete, Krzysztof Dembczynski:
A no-regret generalization of hierarchical softmax to extreme multi-label classification. NeurIPS 2018: 6358-6368 - [c40]Stijn Decubber, Thomas Mortier, Krzysztof Dembczynski, Willem Waegeman:
Deep F-Measure Maximization in Multi-label Classification: A Comparative Study. ECML/PKDD (1) 2018: 290-305 - [c39]Akshay Soni, Aasish Pappu, Róbert Busa-Fekete, Krzysztof Dembczynski:
Extreme Multilabel Classification for Social Media Chairs' Welcome and Organization. WWW (Companion Volume) 2018: 1893-1894 - [i6]Willem Waegeman, Krzysztof Dembczynski, Eyke Hüllermeier:
Multi-Target Prediction: A Unifying View on Problems and Methods. CoRR abs/1809.02352 (2018) - [i5]Marek Wydmuch, Kalina Jasinska, Mikhail Kuznetsov, Róbert Busa-Fekete, Krzysztof Dembczynski:
A no-regret generalization of hierarchical softmax to extreme multi-label classification. CoRR abs/1810.11671 (2018) - [i4]Samy Bengio, Krzysztof Dembczynski, Thorsten Joachims, Marius Kloft, Manik Varma:
Extreme Classification (Dagstuhl Seminar 18291). Dagstuhl Reports 8(7): 62-80 (2018) - 2017
- [j11]Wojciech Kotlowski, Krzysztof Dembczynski:
Surrogate regret bounds for generalized classification performance metrics. Mach. Learn. 106(4): 549-572 (2017) - [c38]Ralph Ewerth, Matthias Springstein, Eric Müller, Alexander Balz, Jan Gehlhaar, Tolga Naziyok, Krzysztof Dembczynski, Eyke Hüllermeier:
Estimating relative depth in single images via rankboost. ICME 2017: 919-924 - [c37]Krzysztof Dembczynski, Wojciech Kotlowski, Oluwasanmi Koyejo, Nagarajan Natarajan:
Consistency Analysis for Binary Classification Revisited. ICML 2017: 961-969 - 2016
- [j10]Michiel Stock, Krzysztof Dembczynski, Bernard De Baets, Willem Waegeman:
Exact and efficient top-K inference for multi-target prediction by querying separable linear relational models. Data Min. Knowl. Discov. 30(5): 1370-1394 (2016) - [c36]Kalina Jasinska, Krzysztof Dembczynski, Róbert Busa-Fekete, Karlson Pfannschmidt, Timo Klerx, Eyke Hüllermeier:
Extreme F-measure Maximization using Sparse Probability Estimates. ICML 2016: 1435-1444 - [c35]Krzysztof Dembczynski, Wojciech Kotlowski, Willem Waegeman, Róbert Busa-Fekete, Eyke Hüllermeier:
Consistency of Probabilistic Classifier Trees. ECML/PKDD (2) 2016: 511-526 - [i3]Michiel Stock, Krzysztof Dembczynski, Bernard De Baets, Willem Waegeman:
Exact and efficient top-K inference for multi-target prediction by querying separable linear relational models. CoRR abs/1606.04278 (2016) - 2015
- [c34]Wojciech Kotlowski, Krzysztof Dembczynski:
Surrogate regret bounds for generalized classification performance metrics. ACML 2015: 301-316 - [c33]Róbert Busa-Fekete, Balázs Szörényi, Krzysztof Dembczynski, Eyke Hüllermeier:
Online F-Measure Optimization. NIPS 2015: 595-603 - [i2]Wojciech Kotlowski, Krzysztof Dembczynski:
Surrogate regret bounds for generalized classification performance metrics. CoRR abs/1504.07272 (2015) - 2014
- [j9]Robin Senge, Stefan Bösner, Krzysztof Dembczynski, Jörg Haasenritter, Oliver Hirsch, Norbert Donner-Banzhoff, Eyke Hüllermeier:
Reliable classification: Learning classifiers that distinguish aleatoric and epistemic uncertainty. Inf. Sci. 255: 16-29 (2014) - [j8]Willem Waegeman, Krzysztof Dembczynski, Arkadiusz Jachnik, Weiwei Cheng, Eyke Hüllermeier:
On the bayes-optimality of F-measure maximizers. J. Mach. Learn. Res. 15(1): 3333-3388 (2014) - 2013
- [c32]Krzysztof Dembczynski, Wojciech Kotlowski, Przemyslaw Gawel, Adam Szarecki, Andrzej Jaszkiewicz:
Matrix Factorization for Travel Time Estimation in Large Traffic Networks. ICAISC (2) 2013: 500-510 - [c31]Krzysztof Dembczynski, Arkadiusz Jachnik, Wojciech Kotlowski, Willem Waegeman, Eyke Hüllermeier:
Optimizing the F-Measure in Multi-Label Classification: Plug-in Rule Approach versus Structured Loss Minimization. ICML (3) 2013: 1130-1138 - [i1]Willem Waegeman, Krzysztof Dembczynski, Weiwei Cheng, Eyke Hüllermeier:
On the Bayes-optimality of F-measure maximizers. CoRR abs/1310.4849 (2013) - 2012
- [j7]Krzysztof Dembczynski, Willem Waegeman, Weiwei Cheng, Eyke Hüllermeier:
On label dependence and loss minimization in multi-label classification. Mach. Learn. 88(1-2): 5-45 (2012) - [j6]Ali Fallah Tehrani, Weiwei Cheng, Krzysztof Dembczynski, Eyke Hüllermeier:
Learning monotone nonlinear models using the Choquet integral. Mach. Learn. 89(1-2): 183-211 (2012) - [c30]Przemyslaw Gawel, Krzysztof Dembczynski, Robert Susmaga, Przemyslaw Wesolek, Piotr Zielniewicz, Andrzej Jaszkiewicz:
Adapting Travel Time Estimates to Current Traffic Conditions. ADBIS Workshops 2012: 79-88 - [c29]Przemyslaw Gawel, Krzysztof Dembczynski, Wojciech Kotlowski, Marek Kubiak, Robert Susmaga, Piotr Zielniewicz, Andrzej Jaszkiewicz:
Community Traffic: A Technology for the Next Generation Car Navigation. ADBIS Workshops 2012: 339-348 - [c28]Krzysztof Dembczynski, Willem Waegeman, Eyke Hüllermeier:
An Analysis of Chaining in Multi-Label Classification. ECAI 2012: 294-299 - [c27]Krzysztof Dembczynski, Wojciech Kotlowski, Eyke Hüllermeier:
Consistent Multilabel Ranking through Univariate Losses. ICML 2012 - [c26]Weiwei Cheng, Krzysztof Dembczynski, Eyke Hüllermeier, Adrian Jaroszewicz, Willem Waegeman:
F-Measure Maximization in Topical Classification. RSCTC 2012: 439-446 - 2011
- [c25]Wojciech Kotlowski, Krzysztof Dembczynski, Eyke Hüllermeier:
Bipartite Ranking through Minimization of Univariate Loss. ICML 2011: 1113-1120 - [c24]Ali Fallah Tehrani, Weiwei Cheng, Krzysztof Dembczynski, Eyke Hüllermeier:
Learning Monotone Nonlinear Models using the Choquet Integral. LWA 2011: 81-88 - [c23]Krzysztof Dembczynski, Willem Waegeman, Weiwei Cheng, Eyke Hüllermeier:
An Exact Algorithm for F-Measure Maximization. NIPS 2011: 1404-1412 - [c22]Ali Fallah Tehrani, Weiwei Cheng, Krzysztof Dembczynski, Eyke Hüllermeier:
Learning Monotone Nonlinear Models Using the Choquet Integral. ECML/PKDD (3) 2011: 414-429 - 2010
- [j5]Krzysztof Dembczynski, Wojciech Kotlowski, Roman Slowinski:
ENDER: a statistical framework for boosting decision rules. Data Min. Knowl. Discov. 21(1): 52-90 (2010) - [c21]Weiwei Cheng, Krzysztof Dembczynski, Eyke Hüllermeier:
Label Ranking Methods based on the Plackett-Luce Model. ICML 2010: 215-222 - [c20]Weiwei Cheng, Krzysztof Dembczynski, Eyke Hüllermeier:
Graded Multilabel Classification: The Ordinal Case. ICML 2010: 223-230 - [c19]Krzysztof Dembczynski, Weiwei Cheng, Eyke Hüllermeier:
Bayes Optimal Multilabel Classification via Probabilistic Classifier Chains. ICML 2010: 279-286 - [c18]Weiwei Cheng, Krzysztof Dembczynski, Eyke Hüllermeier:
Graded Multilabel Classification: The Ordinal Case. LWA 2010: 39-45 - [c17]Krzysztof Dembczynski, Willem Waegeman, Weiwei Cheng, Eyke Hüllermeier:
Regret Analysis for Performance Metrics in Multi-Label Classification: The Case of Hamming and Subset Zero-One Loss. ECML/PKDD (1) 2010: 280-295 - [p2]Krzysztof Dembczynski, Wojciech Kotlowski, Roman Slowinski, Marcin Szelag:
Learning of Rule Ensembles for Multiple Attribute Ranking Problems. Preference Learning 2010: 217-247 - [p1]Krzysztof Dembczynski, Wojciech Kotlowski, Roman Slowinski:
Beyond Sequential Covering - Boosted Decision Rules. Advances in Machine Learning I 2010: 209-225
2000 – 2009
- 2009
- [j4]Krzysztof Dembczynski, Salvatore Greco, Roman Slowinski:
Rough set approach to multiple criteria classification with imprecise evaluations and assignments. Eur. J. Oper. Res. 198(2): 626-636 (2009) - [j3]Krzysztof Dembczynski, Wojciech Kotlowski, Roman Slowinski:
Learning Rule Ensembles for Ordinal Classification with Monotonicity Constraints. Fundam. Informaticae 94(2): 163-178 (2009) - 2008
- [j2]Krzysztof Dembczynski, Wojciech Kotlowski, Marcin Sydow:
Effective Prediction of Web User Behaviour with User-Level Models. Fundam. Informaticae 89(2-3): 189-206 (2008) - [j1]Wojciech Kotlowski, Krzysztof Dembczynski, Salvatore Greco, Roman Slowinski:
Stochastic dominance-based rough set model for ordinal classification. Inf. Sci. 178(21): 4019-4037 (2008) - [c16]Krzysztof Dembczynski, Wojciech Kotlowski, Roman Slowinski:
Solving Regression by Learning an Ensemble of Decision Rules. ICAISC 2008: 533-544 - [c15]Krzysztof Dembczynski, Wojciech Kotlowski, Roman Slowinski:
Maximum likelihood rule ensembles. ICML 2008: 224-231 - [c14]Krzysztof Dembczynski, Wojciech Kotlowski, Roman Slowinski:
Ensemble of Decision Rules for Ordinal Classification with Monotonicity Constraints. RSKT 2008: 260-267 - 2007
- [c13]Krzysztof Dembczynski, Wojciech Kotlowski, Roman Slowinski:
Ordinal Classification with Decision Rules. MCD 2007: 169-181 - [c12]Krzysztof Dembczynski, Salvatore Greco, Wojciech Kotlowski, Roman Slowinski:
Statistical Model for Rough Set Approach to Multicriteria Classification. PKDD 2007: 164-175 - [c11]Krzysztof Dembczynski, Salvatore Greco, Wojciech Kotlowski, Roman Slowinski:
Relationship Between Loss Functions and Confirmation Measures. RSFDGrC 2007: 338-345 - [c10]Krzysztof Dembczynski, Salvatore Greco, Wojciech Kotlowski, Roman Slowinski:
Optimized Generalized Decision in Dominance-Based Rough Set Approach. RSKT 2007: 118-125 - 2006
- [c9]Jerzy Blaszczynski, Krzysztof Dembczynski, Wojciech Kotlowski, Mariusz Pawlowski:
Mining Direct Marketing Data by Ensembles of Weak Learners and Rough Set Methods. DaWaK 2006: 218-227 - [c8]Jerzy Blaszczynski, Krzysztof Dembczynski, Roman Slowinski:
Interactive Analysis of Preference-Ordered Data Using Dominance-Based Rough Set Approach. ICAISC 2006: 489-498 - [c7]Krzysztof Dembczynski, Wojciech Kotlowski, Roman Slowinski:
Additive Preference Model with Piecewise Linear Components Resulting from Dominance-Based Rough Set Approximations. ICAISC 2006: 499-508 - [c6]Jerzy Blaszczynski, Krzysztof Dembczynski, Wojciech Kotlowski, Roman Slowinski, Marcin Szelag:
Ensembles of Decision Rules for Solving Binary Classification Problems in the Presence of Missing Values. RSCTC 2006: 224-234 - [c5]Krzysztof Dembczynski, Salvatore Greco, Wojciech Kotlowski, Roman Slowinski:
Quality of Rough Approximation in Multi-criteria Classification Problems. RSCTC 2006: 318-327 - 2005
- [c4]Krzysztof Dembczynski, Maciej Hapke, Dominik Przybyl:
Flexible Querying with Fuzzy Projection. AWIC 2005: 120-125 - [c3]Krzysztof Dembczynski, Salvatore Greco, Roman Slowinski:
Second-Order Rough Approximations in Multi-criteria Classification with Imprecise Evaluations and Assignments. RSFDGrC (1) 2005: 54-63 - 2003
- [c2]Krzysztof Dembczynski, Roman Pindur, Robert Susmaga:
Dominance-based Rough Set Classifier without Induction of Decision Rules. RSKD 2003: 84-95 - [c1]Krzysztof Dembczynski, Roman Pindur, Robert Susmaga:
Generation of Exhaustive Set of Rules within Dominance-based Rough Set Approach. RSKD 2003: 96-107
Coauthor Index
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