SIS PUT | dr hab. inż. Krzysztof Dembczyński

1.

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, p. 1435-1469

Scientific article 140 5,406
2.

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, p. 293-324

Scientific article 140 2,629
3.

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

Editorial
4.

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

Scientific article 35 1,855
5.

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, p. 1370-1394

Scientific article 40 3,16

All ARTICLES

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

Chapter in monograph / paper 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 - p. 1547-1557

Chapter in monograph / paper 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

Chapter in monograph / paper 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 - p. 1392-1401

Chapter in monograph / paper 5 200
5.

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 - p. 1801-1809

Chapter in monograph / paper 5 140

All CHAPTERS

1.

Agenda badawcza w zakresie modeli predykcji dla produkcji i zapotrzebowania na energię / Robert Wrembel (WI), Maciej Drozdowski (WI), Jędrzej Potoniec (WI), Krzysztof Dembczyński (WI), Jerzy Stefanowski (WI) // r202_2019

Research report
2.

A no-regret generalization of hierarchical softmax to extreme multi-label classification / Marek Wydmuch (WIiT), Kalina Jasinska (WI), Mikhail Kuznetsov, Róbert Busa-Fekete, Krzysztof Dembczyński (WI) // r551474_2019

Research report
3.

Hierarchical sofmax vs. probabilistic label trees: Empirical comparison on synthetic data / Kalina Jasinska (WI), Krzysztof Dembczyński (WI) // r542151_2018

Research report
4.

Surrogate regret bounds for generalized classification performance metrics / Wojciech Kotłowski (WI), Krzysztof Dembczyński (WI) // r518447_2017

Research report
5.

Surrogate regret bounds for generalized classification performance metrics / Wojciech Kotłowski (WI), Krzysztof Dembczyński (WI) // r502617_2017

Research report

All REPORTS

1.

Decision Rule Model for Ordinal Classification Problems with Incomplete Information / Krzysztof Dembczyński / prom. Roman Słowiński, rev. Jacek Koronacki, Krzysztof Krawiec - Poznań, Polska, 2009 - 170 s.

Dissertation

1.

Efficient algorithms for extreme multi-label classification / Kalina Kobus (WIiT) / prom. Krzysztof Dembczyński (WIiT), rev. Tomasz Kajdanowicz, Rohit Babbar - Poznań, Polska, 2021 - 160 s.

Dissertation