1.

Generalized test utilities for long-tail performance in extreme multi-label classification / Erik Schultheis, Marek Wydmuch (WIiT), Wojciech Kotłowski (WIiT), Rohit Babbar, Krzysztof Dembczyński (WIiT) // W: Advances in Neural Information Processing Systems 36 : Annual Conference on Neural Information Processing Systems 2023, NeurIPS 2023, New Orleans, LA, USA, December 10-16, 2023 / red. A. Oh: Curran Associates, Inc., 2023

Rozdział w monografii naukowej / referat 5 200

2.

On Missing Labels, Long-tails and Propensities in Extreme Multi-label Classification / Erik Schultheis, Marek Wydmuch (WIiT), Rohit Babbar, Krzysztof Dembczyński (WIiT) // W: Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining KDD '22 / red. Aidong Zhang, Huzefa Rangwala - New York, NY, USA : Association for Computing Machinery (ACM), 2022 - s. 1547-1557

Rozdział w monografii naukowej / referat 20 200

3.

Regret Bounds for Multilabel Classification in Sparse Label Regimes / Róbert Busa-Fekete, Heejin Choi, Krzysztof Dembczyński (WIiT), Claudio Gentile, Henry W. Reeve, Balázs Szörényi // W: Advances in Neural Information Processing Systems 35 (NeurIPS 2022) / red. S. Koyejo: Neural Information Processing Systems Foundation, 2022

Rozdział w monografii naukowej / referat 5 200

4.

Set-Valued Prediction in Hierarchical Classification with Constrained Representation Complexity / Thomas Mortier, Eyke Hüllermeier, Krzysztof Dembczyński (WIiT), Willem Waegeman // W: 38th Conference on Uncertainty in Artificial Intelligence (UAI 2022), Eindhoven, The Netherlands, 1-5 August 2022: Association for Uncertainty in Artificial Intelligence, 2022 - s. 1392-1401

Rozdział w monografii naukowej / referat 5 200

5.

Efficient set-valued prediction in multi-class classification / T. Mortier, Marek Wydmuch (WI), Krzysztof Dembczyński (WIiT) // Data Mining and Knowledge Discovery - 2021, vol. 35, iss. 4, s. 1435-1469

Artykuł naukowy 140 5,406

6.

Online probabilistic label trees / Kalina Jasinska-Kobus (WIiT), Marek Wydmuch (WIiT), Devanathan Thiruvenkatachari, Krzysztof Dembczyński (WIiT) // W: Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 13-15 April 2021 / red. Arindam Banerjee, Kenji Fukumizu: PMLR, 2021 - s. 1801-1809

Rozdział w monografii naukowej / referat 5 140

7.

Propensity-scored Probabilistic Label Trees / Marek Wydmuch (WIiT), Kalina Jasinska-Kobus (WIiT), Rohit Babbar, Krzysztof Dembczyński (WIiT) // W: Proceedings of the 44th International ACM SIGIR Conference on Research and Development in Information Retrieval SIGIR '21 / red. Fernando Diaz, Chirag Shah, Torsten Suel - New York, NY, USA : Association for Computing Machinery (ACM), 2021 - s. 2252-2256

Rozdział w monografii naukowej / referat 20 200

8.

Deep F-Measure Maximization in Multi-label Classification: A Comparative Study / Stijn Decubber, Thomas Mortier, Krzysztof Dembczyński (WI), Willem Waegeman // W: Machine Learning and Knowledge Discovery in Databases : European Conference, ECML PKDD 2018, Dublin, Ireland, September 10–14, 2018 : Proceedings, Part I / red. Michele Berlingerio - Cham, Switzerland : Springer, 2019 - s. 290-305

Rozdział w monografii naukowej / referat 20 140

9.

Multi-target prediction: a unifying view on problems and methods / Willem Waegeman, Eyke Hüllermeier, Krzysztof Dembczyński (WI) // Data Mining and Knowledge Discovery - 2019, vol. 33, no. 2, s. 293-324

Artykuł naukowy 140 2,629

10.

A no-regret generalization of hierarchical softmax to extreme multi-label classification / Marek Wydmuch (WI), Kalina Jasinska (WI), Róbert Busa-Fekete, Mikhail Kuznetsov, Krzysztof Dembczyński (WI) // W: Advances in Neural Information Processing Systems 31 (NIPS 2018): Curran Associates, Inc., 2018 - s. 6358-6368

Poster

11.

Executive Summary / Samy Bengio, Krzysztof Dembczyński (WI), Thorsten Joachims, Marius Kloft, Manik Varma // Dagstuhl Reports - 2018, vol. 8, iss. 7, s. 63-65

Artykuł wstępny

12.

Extreme Multi-label Classification for Information Retrieval / Krzysztof Dembczyński (WI), Rohit Babbar // W: Advances in Information Retrieval : 40th European Conference on IR Research, ECIR 2018, Grenoble, France, March 26-29, 2018, Proceedings / red. Gabriella Pasi - Cham, Switzerland : Springer, 2018 - s. 839-840

Rozdział w monografii naukowej / referat 20

13.

Extreme Multilabel Classification for Social Media Chairs' Welcome and Organization / Akshay Soni, Krzysztof Dembczyński (WI), Aasish Pappu, Robert Busa-Fekete // W: Proceedings of the the Web Conference 2018: International World Wide Web Conferences Steering Committee, 2018 - s. 1893-1894

Wstęp / przedmowa

14.

Consistency Analysis for Binary Classification Revisited / Krzysztof Dembczyński (WI), Wojciech Kotłowski (WI), Oluwasanmi Koyejo, Nagarajan Natarajan // W: Proceedings of the 34th International Conference on Machine Learning: PMLR, 2017 - s. 961-969

Rozdział w monografii naukowej / referat 5 200

15.

Estimating Relative Depth in Single Images via Rankboost / Ralph Ewerth, Matthias Springstein, Eric Mueller, Alexander Balz, Jan Gehlhaar, Tolga Naziyok, Krzysztof Dembczyński (WI), Eyke Huellermeier // W: IEEE International Conference on Multimedia and Expo ICME 2017: IEEE, 2017 - s. 919-924

Rozdział w monografii naukowej / referat 20 70

16.

Surrogate regret bounds for generalized classification performance metrics / Wojciech Kotłowski (WI), Krzysztof Dembczyński (WI) // Machine Learning - 2017, vol. 106, no. 4, s. 549-572

Artykuł naukowy 35 1,855

17.

Consistency of Probabilistic Classifier Trees / Krzysztof Dembczyński (WI), Wojciech Kotłowski (WI), Willem Waegeman, Robert Busa-Fekete, Eyke Hüllermeier // W: Machine Learning and Knowledge Discovery in Databases : European Conference, ECML PKDD 2016, Riva del Garda, Italy, September 19-23, 2016 : Proceedings, Part II / red. Paolo Frasconi - Cham, Switzerland : Springer International Publishing, 2016 - s. 511-526

Referat

18.

Exact and efficient top-K inference for multi-target prediction by querying separable linear relational models / Michiel Stock, Krzysztof Dembczyński (WI), Bernard De Baets, Willem Waegeman // Data Mining and Knowledge Discovery - 2016, vol. 30, iss. 5, s. 1370-1394

Artykuł naukowy 40 3,16

19.

Extreme F-measure Maximization using Sparse Probability Estimates / Kalina Jasinska (WI), Krzysztof Dembczyński (WI), Robert Busa-Fekete, Karlson Pfannschmidt, Timo Klerx, Eyke Hüllermeier // W: Proceedings of the 33rd International Conference on Machine Learning / red. Maria Florina Balcan, Kilian Q. Weinberger: PMLR, 2016 - s. 1435-1444

Referat

20.

Surrogate regret bounds for generalized classification performance metrics / Wojciech Kotłowski (WI), Krzysztof Dembczyński (WI) // JMLR: Workshop and Conference Proceedings - 2015, vol. 45, s. 301-316

Artykuł naukowy / referat 50

21.

On the bayes-optimality of F-measure maximizers / Willem Waegeman, Krzysztof Dembczyński (WI), Arkadiusz Jachnik (WI), Weiwei Cheng, Eyke Hüllermeier // Journal of Machine Learning Research - 2014, vol. 15, iss. 1, s. 3333-3388

Artykuł naukowy 50 2,473

22.

Reliable classification : learning classifiers that distinguish aleatoric and epistemic uncertainty / Robin Senge, Stefan Bösner, Krzysztof Dembczyński (WI), Jörg Haasenritter, Oliver Hirsch, Norbert Donner-Banzhoff, Eyke Hüllermeier // Information Sciences - 2014, vol. 255, s. 16-29

Artykuł naukowy 45 4,038

23.

Adapting travel time estimates to current traffic conditions / Przemysław Gaweł, Krzysztof Dembczyński (WI), Robert Susmaga (WI), Przemysław Wesołek (WI), Piotr Zielniewicz (WI), Andrzej Jaszkiewicz (WI) // W: New Trends in Databases and Information Systems / red. Mykola Pechenizkiy, Marek Wojciechowski (WI) - Berlin, Germany : Springer, 2013 - s. 79-88

Referat

24.

Community Traffic : a technology for the next generation car navigation / Przemysław Gaweł, Krzysztof Dembczyński (WI), Krzysztof Kotłowski (WI), Marek Kubiak (WI), Robert Susmaga (WI), Przemysław Wesołek (WI), Piotr Zielniewicz (WI), Andrzej Jaszkiewicz (WI) // W: New Trends in Databases and Information Systems / red. Mykola Pechenizkiy, Marek Wojciechowski (WI) - Berlin, Germany : Springer, 2013 - s. 339-348

Referat

25.

Matrix factorization for travel time estimation in large traffic network / Krzysztof Dembczyński (WI), Wojciech Kotłowski (WI), Przemysław Gaweł, Adam Szarecki, Andrzej Jaszkiewicz (WI) // W: Artificial intelligence and soft computing. Part II: 12th International Conference, ICAISC 2013, Zakopane, Poland, June 9-13, 2013 : proceedings / red. Leszek Rutkowski - Berlin, Germany Heidelberg, Germany : Springer, 2013 - s. 500-510

Referat

26.

Optimizing the F-measure in multi-label classification : plug-in rule approach versus structured loss minimization / Krzysztof Dembczyński (WI), Arkadiusz Jachnik (WI), Wojciech Kotłowski (WI), Willem Waegeman, Eyke Hüllermeier // JMLR: Workshop and Conference Proceedings - 2013, vol. 28 (3), s. 1130-1138

Artykuł naukowy / referat 50

27.

Real-time travel time prediction models in routing for car navigation applications / P. Gaweł, Krzysztof Dembczyński (WI), Wojciech Kotłowski (WI), Andrzej Jaszkiewicz (WI) // Archives of Transport System Telematics - 2013, vol. 6, no. 4, s. 3-7

Artykuł naukowy 11

28.

Community traffic: a technology for the next generation car navigation / Krzysztof Dembczyński, P. Gaweł, Andrzej Jaszkiewicz, Wojciech Kotłowski, M. Kubiak, Robert Susmaga, Przemysław Wesołek, Adam Wojciechowski, Piotr Zielniewicz // Control and Cybernetics - 2012, vol. 41, no. 4, s. 867-883

Artykuł naukowy

29.

Effective prediction of web user behaviour with user-level models / Krzysztof Dembczyński, Wojciech Kotłowski, M. Sydow // Fundamenta Informaticae - 2008, iss. 2-3, s. 189-206

Artykuł naukowy 0,715

30.

Ensemble of decision rules for ordinal classification with monotonicity constraints / Krzysztof Dembczyński (WI), Wojciech Kotłowski, Roman Słowiński // W: Rough sets and knowledge technology ; Third International Conference, RSKT 2008, Chengdu, China, May 2008 Proceedings / red. Guoyin Wang, Tianrui Li, Jerzy W. Grzymala-Busse, Duoqian Miao, Andrzej Skowron, Yiyu Yao - Berlin, Germany Heidelberg, Germany : Springer, 2008 - s. 260-267

Referat

31.

Solving regression by learning an ensemble of decision rules / Krzysztof Dembczyński, Wojciech Kotłowski, Roman Słowiński // W: Artificial Intelligence and Soft Computing - ICAISC 2008 : 9th International Conference, Zakopane, Poland, June 2008, Proceedings / red. Leszek Rutkowski, Ryszard Tadeusiewicz, Lofti A. Zadeh, Jacek M. Żurada - Berlin, Germany Heidelberg, Germany : Springer Science & Business Media, 2008 - s. 533-544

Referat

32.

Stochastic dominance-based rough set model for ordinal classification / Wojciech Kotłowski, Krzysztof Dembczyński, S. Greco, Roman Słowiński // Information Sciences - 2008, vol. 178, iss. 21, s. 4019-4037

Artykuł naukowy 3,095

33.

Stochastic dominance-based rough set model for ordinal classification / Wojciech Kotłowski, Krzysztof Dembczyński, S. Greco, Roman Słowiński // W: Developments in fuzzy sets, intuitionistic fuzzy sets, generalized nets and related topics. Vol. 1. Foundations / red. Krassimir Todorov Atanassov - Warszawa, Polska : Academic Publishing House Exit, 2008 - s. 191-227

Referat

34.

Ordinal classification with decision rules / Krzysztof Dembczyński, Krzysztof Kotłowski, Roman Słowiński // W: Mining Complex Data : ECML/PKDD 2007 Third International Workshop, MCD 2007 Warsaw, Poland, September 17-21, 2007, revised selected papers / red. Zbigniew W. Raś, Shusaku Tsumoto, Djamel Zighed, 2007 - s. 169-181

Referat

35.

Optimized Generalized Decision in Dominance-Based Rough Set Approach / Krzysztof Dembczyński, Salvatore Greco, Krzysztof Kotłowski, Roman Słowiński // W: Rough Sets and Knowledge Technology. Second International Conference, RSKT 2007, Toronto, Canada, May 14-16, 2007. Proceedings / red. Jingtao Yao, Pawan Lingras, Wei-Zhi Wu, Marcin Szczuka, Nick J. Cercone, Dominik Ślęzak - Berlin - Heidelberg, Germany : Springer, 2007 - s. 118-125

Referat

36.

Relationship between loss functions and confirmation measures / Krzysztof Dembczyński, Salvatore Greco, Krzysztof Kotłowski, Roman Słowiński // W: Rough Sets, Fuzzy Sets, Data Mining and Granular Computing. 11th International Conference, RSFDGrC 2007, Toronto, Canada, May 14-16, 2007. Proceedings / red. Aijun An, Jerzy Stefanowski, Sheela Ramanna, Cory J. Butz, Witold Pedrycz, Guoyin Wang - Berlin - Heidelberg, Germany : Springer, 2007 - s. 338-345

Referat

37.

Statistical Model for Rough Set Approach to Multicriteria Classification / Krzysztof Dembczyński, Salvatore Greco, Wojciech Kotłowski, Roman Słowiński // W: Knowledge Discovery in Databases: PKDD 2007. 11th European Conference on Principles and Practice of Knowledge Discovery in Databases, Warsaw, Poland, September 17-21, 2007. Proceedings / red. Joost N. Kok, Jacek Koronacki, Ramon Lopez De Mantaras, Stan Matwin, Dunja Mladenič, Andrzej Skowron - Berlin - Heidelberg, Germany : Springer-Verlag, 2007 - s. 164-175

Referat

38.

Additive preference model with piecewise linear components resulting from dominance-based rough set approximations / Krzysztof Dembczyński, Wojciech Kotłowski, Roman Słowiński // W: Artificial Intelligence and Soft Computing – ICAISC 2006 : 8th International Conference, Zakopane, Poland, June 25-29, 2006. Proceedings / red. Leszek Rutkowski, Ryszard Tadeusiewicz, Lofti A. Zadeh, Jacek M. Żurada - Berlin - Heidelberg, Germany : Springer-Verlag, 2006 - s. 499-500

Referat

39.

Ensembles of decision rules / Jerzy Błaszczyński, Krzysztof Dembczyński, Wojciech Kotłowski, Roman Słowiński, Marcin Szeląg // Foundations of Computing and Decision Sciences - 2006, vol. 31, no. 3-4, s. 221-232

Artykuł naukowy

40.

Ensembles of decision rules for solving binary classification problems in the presence of missing values / Jerzy Błaszczyński, Krzysztof Dembczyński, Wojciech Kotłowski, Roman Słowiński, Marcin Szeląg // W: Rough Sets and Current Trends in Computing : 5th International Conference, RSCTC 2006 Kobe, Japan, November 6-8, 2006 Proceedings / red. Salvatore Greco, Yutaka Hata, Shoji Hirano, Masahiro Inuiguchi, Sadaaki Miyamoto, Hung Son Nguyen, Roman Słowiński - Berlin - Heidelberg, Germany : Springer, 2006 - s. 224-234

Referat

41.

Interactive analysis of preference-ordered data using dominance-based rough set approach / Jerzy Błaszczyński, Krzysztof Dembczyński, Roman Słowiński // W: Artificial Intelligence and Soft Computing – ICAISC 2006 : 8th International Conference, Zakopane, Poland, June 25-29, 2006. Proceedings / red. Leszek Rutkowski, Ryszard Tadeusiewicz, Lofti A. Zadeh, Jacek M. Żurada - Berlin - Heidelberg, Germany : Springer-Verlag, 2006 - s. 489-498

Referat

42.

Mining direct marketing data by ensembles of weak learners and rough set methods / Jerzy Błaszczyński (WI), Krzysztof Dembczyński, Wojciech Kotłowski, Mariusz Pawłowski // W: Data Warehousing and Knowledge Discovery : 8th International Conference, DaWaK 2006, Krakow, Poland, September 4-8, 2006 : Proceedings / red. A Min Tjoa, Juan Trujillo - Berlin, Germany Heidelberg, Germany : Springer-Verlag Berlin Heidelberg, 2006 - s. 218-227

Referat

43.

Quality of rough approximation in multicriteria classification problems / Krzysztof Dembczyński, Salvatore Greco, Krzysztof Kotłowski, Roman Słowiński // W: Rough Sets and Current Trends in Computing : 5th International Conference, RSCTC 2006 Kobe, Japan, November 6-8, 2006 Proceedings / red. Salvatore Greco, Yutaka Hata, Shoji Hirano, Masahiro Inuiguchi, Sadaaki Miyamoto, Hung Son Nguyen, Roman Słowiński - Berlin - Heidelberg, Germany : Springer, 2006 - s. 318-327

Referat

44.

Second-order rough approximations in multi-criteria classification with imprecise evaluations and assignments / Krzysztof Dembczyński, Salvatore Greco, Roman Słowiński // W: Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing, 10th International Conference, RSFDGrC 2005, Regina, Canada, August 31 - September 3, 2005, Proceedings, Part I / red. Dominik Ślęzak, Guoyin Wang, Marcin Szczuka, Ivo Düntsch, Yiyu Yao - Berlin - Heidelberg, Germany : Springer, 2005 - s. 54-63

Referat

45.

SQLfj - a fuzzy querying language and software written in Java / Krzysztof Dembczyński, Maciej Hapke, Dominik Przybył // W: Issues in Soft Computing : Theory and Applications / red. Przemysław Grzegorzewski, Maciej Krawczak, Sławomir Zadroż - Warszawa, Polska : Akademicka Oficyna Wydawnicza EXIT, 2005 - s. 131-146

Rozdział w monografii naukowej

46.

Dominance-based rough set approach to multicriteria classification with interval evaluations and assignments / Krzysztof Dembczyński, Salvatore Greco, Roman Słowiński // W: 3rd International Conference "Decision Support for Telecommunications and Information Society" DSTIS 2003, Warszawa, 4-6 September 2003, 2003 - s. 73-83

Referat

47.

Methodology of rough-set-based classification and sorting with hierarchical structure of attributes and criteria / Krzysztof Dembczyński, Salvatore Greco, Roman Słowiński // Control and Cybernetics - 2002, vol. 31, nr 4, s. 891-920

Artykuł naukowy