default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDKrzysztof Dembczynski
Person information
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
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 - [i17]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) - [i16]Wojciech Kotlowski, Marek Wydmuch, Erik Schultheis, Rohit Babbar, Krzysztof Dembczynski:
A General Online Algorithm for Optimizing Complex Performance Metrics. CoRR abs/2406.14743 (2024) - [i15]Yan Chen, Jose H. Blanchet, Krzysztof Dembczynski, Laura Fee Nern, Aaron Flores:
Optimal Downsampling for Imbalanced Classification with Generalized Linear Models. CoRR abs/2410.08994 (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
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-12-03 21:24 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
