Krzysztof Dembczynski

According to our database, Krzysztof Dembczynski authored at least 65 papers between 2003 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Consistent algorithms for multi-label classification with macro-at-k metrics.

Erik Schultheis, Wojciech Kotlowski, Marek Wydmuch, Rohit Babbar, Strom Borman, Krzysztof Dembczynski

CoRR, 2024

2023

Generalized test utilities for long-tail performance in extreme multi-label classification.

Erik Schultheis, Marek Wydmuch, Wojciech Kotlowski, Rohit Babbar, Krzysztof Dembczynski

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022

Set-valued prediction in hierarchical classification with constrained representation complexity.

Thomas Mortier, Eyke Hüllermeier, Krzysztof Dembczynski, Willem Waegeman

Proceedings of the Uncertainty in Artificial Intelligence, 2022

Regret Bounds for Multilabel Classification in Sparse Label Regimes.

Róbert Busa-Fekete, Heejin Choi, Krzysztof Dembczynski, Claudio Gentile, Henry Reeve, Balázs Szörényi

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

On Missing Labels, Long-tails and Propensities in Extreme Multi-label Classification.

Erik Schultheis, Marek Wydmuch, Rohit Babbar, Krzysztof Dembczynski

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

2021

Efficient set-valued prediction in multi-class classification.

Thomas Mortier, Marek Wydmuch, Krzysztof Dembczynski, Eyke Hüllermeier, Willem Waegeman

Data Min. Knowl. Discov., 2021

Propensity-scored Probabilistic Label Trees.

Marek Wydmuch, Kalina Jasinska-Kobus, Rohit Babbar, Krzysztof Dembczynski

Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

Online probabilistic label trees.

Marek Wydmuch, Kalina Jasinska-Kobus, Devanathan Thiruvenkatachari, Krzysztof Dembczynski

Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

2020

Probabilistic Label Trees for Extreme Multi-label Classification.

Kalina Jasinska-Kobus, Marek Wydmuch, Krzysztof Dembczynski, Mikhail Kuznetsov, Róbert Busa-Fekete

CoRR, 2020

2019

Multi-target prediction: a unifying view on problems and methods.

Willem Waegeman, Krzysztof Dembczynski, Eyke Hüllermeier

Data Min. Knowl. Discov., 2019

Efficient Algorithms for Set-Valued Prediction in Multi-Class Classification.

Thomas Mortier, Marek Wydmuch, Eyke Hüllermeier, Krzysztof Dembczynski, Willem Waegeman

CoRR, 2019

On the computational complexity of the probabilistic label tree algorithms.

Róbert Busa-Fekete, Krzysztof Dembczynski, Alexander Golovnev, Kalina Jasinska, Mikhail Kuznetsov, Maxim Sviridenko, Chao Xu

CoRR, 2019

Set-Valued Prediction in Multi-Class Classification.

Thomas Mortier, Marek Wydmuch, Krzysztof Dembczynski, Eyke Hüllermeier, Willem Waegeman

Proceedings of the 31st Benelux Conference on Artificial Intelligence (BNAIC 2019) and the 28th Belgian Dutch Conference on Machine Learning (Benelearn 2019), 2019

2018

Extreme Classification (Dagstuhl Seminar 18291).

Samy Bengio, Krzysztof Dembczynski, Thorsten Joachims, Marius Kloft, Manik Varma

Dagstuhl Reports, 2018

Extreme Multilabel Classification for Social Media Chairs' Welcome and Organization.

Akshay Soni, Aasish Pappu, Róbert Busa-Fekete, Krzysztof Dembczynski

Proceedings of the Companion of the The Web Conference 2018 on The Web Conference 2018, 2018

Deep F-Measure Maximization in Multi-label Classification: A Comparative Study.

Stijn Decubber, Thomas Mortier, Krzysztof Dembczynski, Willem Waegeman

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2018

A no-regret generalization of hierarchical softmax to extreme multi-label classification.

Marek Wydmuch, Kalina Jasinska, Mikhail Kuznetsov, Róbert Busa-Fekete, Krzysztof Dembczynski

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

2017

Surrogate regret bounds for generalized classification performance metrics.

Wojciech Kotlowski, Krzysztof Dembczynski

Mach. Learn., 2017

Consistency Analysis for Binary Classification Revisited.

Krzysztof Dembczynski, Wojciech Kotlowski, Oluwasanmi Koyejo, Nagarajan Natarajan

Proceedings of the 34th International Conference on Machine Learning, 2017

Estimating relative depth in single images via rankboost.

Ralph Ewerth, Matthias Springstein, Eric Müller, Alexander Balz, Jan Gehlhaar, Tolga Naziyok, Krzysztof Dembczynski, Eyke Hüllermeier

Proceedings of the 2017 IEEE International Conference on Multimedia and Expo, 2017

2016

Exact and efficient top-K inference for multi-target prediction by querying separable linear relational models.

Michiel Stock, Krzysztof Dembczynski, Bernard De Baets, Willem Waegeman

Data Min. Knowl. Discov., 2016

Consistency of Probabilistic Classifier Trees.

Krzysztof Dembczynski, Wojciech Kotlowski, Willem Waegeman, Róbert Busa-Fekete, Eyke Hüllermeier

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2016

Extreme F-measure Maximization using Sparse Probability Estimates.

Kalina Jasinska, Krzysztof Dembczynski, Róbert Busa-Fekete, Karlson Pfannschmidt, Timo Klerx, Eyke Hüllermeier

Proceedings of the 33nd International Conference on Machine Learning, 2016

2015

Online F-Measure Optimization.

Róbert Busa-Fekete, Balázs Szörényi, Krzysztof Dembczynski, Eyke Hüllermeier

Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

2014

On the bayes-optimality of F-measure maximizers.

Willem Waegeman, Krzysztof Dembczynski, Arkadiusz Jachnik, Weiwei Cheng, Eyke Hüllermeier

J. Mach. Learn. Res., 2014

Reliable classification: Learning classifiers that distinguish aleatoric and epistemic uncertainty.

Robin Senge, Stefan Bösner, Krzysztof Dembczynski, Jörg Haasenritter, Oliver Hirsch, Norbert Donner-Banzhoff, Eyke Hüllermeier

Inf. Sci., 2014

2013

On the Bayes-optimality of F-measure maximizers.

Willem Waegeman, Krzysztof Dembczynski, Weiwei Cheng, Eyke Hüllermeier

CoRR, 2013

Optimizing the F-Measure in Multi-Label Classification: Plug-in Rule Approach versus Structured Loss Minimization.

Krzysztof Dembczynski, Arkadiusz Jachnik, Wojciech Kotlowski, Willem Waegeman, Eyke Hüllermeier

Proceedings of the 30th International Conference on Machine Learning, 2013

Matrix Factorization for Travel Time Estimation in Large Traffic Networks.

Krzysztof Dembczynski, Wojciech Kotlowski, Przemyslaw Gawel, Adam Szarecki, Andrzej Jaszkiewicz

Proceedings of the Artificial Intelligence and Soft Computing, 2013

2012

Learning monotone nonlinear models using the Choquet integral.

Ali Fallah Tehrani, Weiwei Cheng, Krzysztof Dembczynski, Eyke Hüllermeier

Mach. Learn., 2012

On label dependence and loss minimization in multi-label classification.

Krzysztof Dembczynski, Willem Waegeman, Weiwei Cheng, Eyke Hüllermeier

Mach. Learn., 2012

F-Measure Maximization in Topical Classification.

Weiwei Cheng, Krzysztof Dembczynski, Eyke Hüllermeier, Adrian Jaroszewicz, Willem Waegeman

Proceedings of the Rough Sets and Current Trends in Computing, 2012

Consistent Multilabel Ranking through Univariate Losses.

Krzysztof Dembczynski, Wojciech Kotlowski, Eyke Hüllermeier

Proceedings of the 29th International Conference on Machine Learning, 2012

An Analysis of Chaining in Multi-Label Classification.

Krzysztof Dembczynski, Willem Waegeman, Eyke Hüllermeier

Proceedings of the ECAI 2012, 2012

Adapting Travel Time Estimates to Current Traffic Conditions.

Przemyslaw Gawel, Krzysztof Dembczynski, Robert Susmaga, Przemyslaw Wesolek, Piotr Zielniewicz, Andrzej Jaszkiewicz

Proceedings of the New Trends in Databases and Information Systems, 2012

Community Traffic: A Technology for the Next Generation Car Navigation.

Przemyslaw Gawel, Krzysztof Dembczynski, Wojciech Kotlowski, Marek Kubiak, Robert Susmaga, Piotr Zielniewicz, Andrzej Jaszkiewicz

Proceedings of the New Trends in Databases and Information Systems, 2012

2011

An Exact Algorithm for F-Measure Maximization.

Krzysztof Dembczynski, Willem Waegeman, Weiwei Cheng, Eyke Hüllermeier

Proceedings of the Advances in Neural Information Processing Systems 24: 25th Annual Conference on Neural Information Processing Systems 2011. Proceedings of a meeting held 12-14 December 2011, 2011

Bipartite Ranking through Minimization of Univariate Loss.

Wojciech Kotlowski, Krzysztof Dembczynski, Eyke Hüllermeier

Proceedings of the 28th International Conference on Machine Learning, 2011

2010

Beyond Sequential Covering - Boosted Decision Rules.

Krzysztof Dembczynski, Wojciech Kotlowski, Roman Slowinski

Proceedings of the Advances in Machine Learning I: Dedicated to the Memory of Professor Ryszard S. Michalski, 2010

ENDER: a statistical framework for boosting decision rules.

Krzysztof Dembczynski, Wojciech Kotlowski, Roman Slowinski

Data Min. Knowl. Discov., 2010

Regret Analysis for Performance Metrics in Multi-Label Classification: The Case of Hamming and Subset Zero-One Loss.

Krzysztof Dembczynski, Willem Waegeman, Weiwei Cheng, Eyke Hüllermeier

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2010

Graded Multilabel Classification: The Ordinal Case.

Weiwei Cheng, Krzysztof Dembczynski, Eyke Hüllermeier

Proceedings of the LWA 2010, 2010

Bayes Optimal Multilabel Classification via Probabilistic Classifier Chains.

Krzysztof Dembczynski, Weiwei Cheng, Eyke Hüllermeier

Proceedings of the 27th International Conference on Machine Learning (ICML-10), 2010

Label Ranking Methods based on the Plackett-Luce Model.

Weiwei Cheng, Krzysztof Dembczynski, Eyke Hüllermeier

Proceedings of the 27th International Conference on Machine Learning (ICML-10), 2010

Learning of Rule Ensembles for Multiple Attribute Ranking Problems.

Krzysztof Dembczynski, Wojciech Kotlowski, Roman Slowinski, Marcin Szelag

Proceedings of the Preference Learning., 2010

2009

Learning Rule Ensembles for Ordinal Classification with Monotonicity Constraints.

Krzysztof Dembczynski, Wojciech Kotlowski, Roman Slowinski

Fundam. Informaticae, 2009

Rough set approach to multiple criteria classification with imprecise evaluations and assignments.

Krzysztof Dembczynski, Salvatore Greco, Roman Slowinski

Eur. J. Oper. Res., 2009

2008

Stochastic dominance-based rough set model for ordinal classification.

Wojciech Kotlowski, Krzysztof Dembczynski, Salvatore Greco, Roman Slowinski

Inf. Sci., 2008

Effective Prediction of Web User Behaviour with User-Level Models.

Krzysztof Dembczynski, Wojciech Kotlowski, Marcin Sydow

Fundam. Informaticae, 2008

Ensemble of Decision Rules for Ordinal Classification with Monotonicity Constraints.

Krzysztof Dembczynski, Wojciech Kotlowski, Roman Slowinski

Proceedings of the Rough Sets and Knowledge Technology, Third International Conference, 2008

Maximum likelihood rule ensembles.

Krzysztof Dembczynski, Wojciech Kotlowski, Roman Slowinski

Proceedings of the Machine Learning, 2008

Solving Regression by Learning an Ensemble of Decision Rules.

Krzysztof Dembczynski, Wojciech Kotlowski, Roman Slowinski

Proceedings of the Artificial Intelligence and Soft Computing, 2008

2007

Optimized Generalized Decision in Dominance-Based Rough Set Approach.

Krzysztof Dembczynski, Salvatore Greco, Wojciech Kotlowski, Roman Slowinski

Proceedings of the Rough Sets and Knowledge Technology, Second International Conference, 2007

Relationship Between Loss Functions and Confirmation Measures.

Krzysztof Dembczynski, Salvatore Greco, Wojciech Kotlowski, Roman Slowinski

Proceedings of the Rough Sets, 2007

Statistical Model for Rough Set Approach to Multicriteria Classification.

Krzysztof Dembczynski, Salvatore Greco, Wojciech Kotlowski, Roman Slowinski

Proceedings of the Knowledge Discovery in Databases: PKDD 2007, 2007

Ordinal Classification with Decision Rules.

Krzysztof Dembczynski, Wojciech Kotlowski, Roman Slowinski

Proceedings of the Mining Complex Data, ECML/PKDD 2007 Third International Workshop, 2007

2006

Quality of Rough Approximation in Multi-criteria Classification Problems.

Krzysztof Dembczynski, Salvatore Greco, Wojciech Kotlowski, Roman Slowinski

Proceedings of the Rough Sets and Current Trends in Computing, 2006

Ensembles of Decision Rules for Solving Binary Classification Problems in the Presence of Missing Values.

Jerzy Blaszczynski, Krzysztof Dembczynski, Wojciech Kotlowski, Roman Slowinski, Marcin Szelag

Proceedings of the Rough Sets and Current Trends in Computing, 2006

Additive Preference Model with Piecewise Linear Components Resulting from Dominance-Based Rough Set Approximations.

Krzysztof Dembczynski, Wojciech Kotlowski, Roman Slowinski

Proceedings of the Artificial Intelligence and Soft Computing, 2006

Interactive Analysis of Preference-Ordered Data Using Dominance-Based Rough Set Approach.

Jerzy Blaszczynski, Krzysztof Dembczynski, Roman Slowinski

Proceedings of the Artificial Intelligence and Soft Computing, 2006

Mining Direct Marketing Data by Ensembles of Weak Learners and Rough Set Methods.

Jerzy Blaszczynski, Krzysztof Dembczynski, Wojciech Kotlowski, Mariusz Pawlowski

Proceedings of the Data Warehousing and Knowledge Discovery, 8th International Conference, 2006

2005

Second-Order Rough Approximations in Multi-criteria Classification with Imprecise Evaluations and Assignments.

Krzysztof Dembczynski, Salvatore Greco, Roman Slowinski

Proceedings of the Rough Sets, 2005

Flexible Querying with Fuzzy Projection.

Krzysztof Dembczynski, Maciej Hapke, Dominik Przybyl

Proceedings of the Advances in Web Intelligence Third International Atlantic Web IntelligenceConference, 2005

2003

Generation of Exhaustive Set of Rules within Dominance-based Rough Set Approach.

Krzysztof Dembczynski, Roman Pindur, Robert Susmaga

Proceedings of the International Workshop on Rough Sets in Knowledge Discovery and Soft Computing, 2003

Dominance-based Rough Set Classifier without Induction of Decision Rules.

Krzysztof Dembczynski, Roman Pindur, Robert Susmaga

Proceedings of the International Workshop on Rough Sets in Knowledge Discovery and Soft Computing, 2003