Dariusz Brzezinski

44 papers B 2C 2Journal 28Unranked 11
YearRankTypeTitle / Venue / Authors
2025 — conf
Among Them: A Game-Based Framework for Assessing Persuasion Capabilities of LLMs.
PAKDD (5)
Mateusz Idziejczak, Vasyl Korzavatykh, Mateusz Stawicki, Andrii Chmutov, Marcin Korcz, Iwo Bladek, Dariusz Brzezinski
2025 J jnl
Among Them: A game-based framework for assessing persuasion capabilities of LLMs.
CoRR
Mateusz Idziejczak, Vasyl Korzavatykh, Mateusz Stawicki, Andrii Chmutov, Marcin Korcz, Iwo Bladek, Dariusz Brzezinski
2025 J jnl
Ligand identification in CryoEM and X-ray maps using deep learning.
Bioinform.
Jacek Karolczak, Anna Przybylowska, Konrad Szewczyk, Witold Taisner, John M. Heumann, Michael H. B. Stowell, Michal Nowicki, Dariusz Brzezinski
2025 — conf
Random Similarity Isolation Forests.
PAKDD (1)
Sebastian Chwilczynski, Dariusz Brzezinski
2025 J jnl
Random Similarity Isolation Forests.
CoRR
Sebastian Chwilczynski, Dariusz Brzezinski
2025 — conf
The CausalBench challenge: A machine learning contest for gene network inference from single-cell perturbation data.
CLeaR
Mathieu Chevalley, Jacob Sackett-Sanders, Yusuf H. Roohani, Pascal Notin, Artemy Bakulin, Dariusz Brzezinski, Kaiwen Deng, Yuanfang Guan, Justin Hong, Michael Ibrahim, Wojciech Kotlowski, Marcin Kowiel, Panagiotis Misiakos, Achille Nazaret, Markus Püschel, Chris Wendler, Arash Mehrjou, Patrick Schwab
2024 — conf
ART: Actually Robust Training.
ECML/PKDD (8)
Sebastian Chwilczynski, Kacper Trebacz, Karol Cyganik, Mateusz Malecki, Dariusz Brzezinski
2024 J jnl
ART: Actually Robust Training.
CoRR
Sebastian Chwilczynski, Kacper Trebacz, Karol Cyganik, Mateusz Malecki, Dariusz Brzezinski
2024 J jnl
Properties of Fairness Measures in the Context of Varying Class Imbalance and Protected Group Ratios.
ACM Trans. Knowl. Discov. Data
Dariusz Brzezinski, Julia Stachowiak, Jerzy Stefanowski, Izabela Szczech, Robert Susmaga, Sofya Aksenyuk, Uladzimir Ivashka, Oleksandr Yasinskyi
2024 J jnl
Properties of fairness measures in the context of varying class imbalance and protected group ratios.
CoRR
Dariusz Brzezinski, Julia Stachowiak, Jerzy Stefanowski, Izabela Szczech, Robert Susmaga, Sofya Aksenyuk, Uladzimir Ivashka, Oleksandr Yasinskyi
2024 J jnl
Towards explainable TOPSIS: Visual insights into the effects of weights and aggregations on rankings.
Appl. Soft Comput.
Robert Susmaga, Izabela Szczech, Dariusz Brzezinski
2023 J jnl
MSD-space: Visualizing the inner-workings of TOPSIS aggregations.
Eur. J. Oper. Res.
Robert Susmaga, Izabela Szczech, Piotr Zielniewicz, Dariusz Brzezinski
2023 J jnl
The CausalBench challenge: A machine learning contest for gene network inference from single-cell perturbation data.
CoRR
Mathieu Chevalley, Jacob Sackett-Sanders, Yusuf H. Roohani, Pascal Notin, Artemy Bakulin, Dariusz Brzezinski, Kaiwen Deng, Yuanfang Guan, Justin Hong, Michael Ibrahim, Wojciech Kotlowski, Marcin Kowiel, Panagiotis Misiakos, Achille Nazaret, Markus Püschel, Chris Wendler, Arash Mehrjou, Patrick Schwab
2023 J jnl
Towards Explainable TOPSIS: Visual Insights into the Effects of Weights and Aggregations on Rankings.
CoRR
Robert Susmaga, Izabela Szczech, Dariusz Brzezinski
2023 J jnl
confidence-planner: Easy-to-Use Prediction Confidence Estimation and Sample Size Planning.
CoRR
Antoni Klorek, Karol Roszak, Izabela Szczech, Dariusz Brzezinski
2022 J jnl
DBFE: distribution-based feature extraction from structural variants in whole-genome data.
Bioinform.
Maciej Piernik, Dariusz Brzezinski, Pawel Sztromwasser, Klaudia Pacewicz, Weronika Majer-Burman, Michal Gniot, Dawid Sielski, Oleksii Bryzghalov, Alicja Wozna, Pawel Zawadzki
2022 — conf
Random Similarity Forests.
ECML/PKDD (5)
Maciej Piernik, Dariusz Brzezinski, Pawel Zawadzki
2022 J jnl
Random Similarity Forests.
CoRR
Maciej Piernik, Dariusz Brzezinski, Pawel Zawadzki
2021 J jnl
Detecting anomalies in X-ray diffraction images using convolutional neural networks.
Expert Syst. Appl.
Adam Czyzewski, Faustyna Krawiec, Dariusz Brzezinski, Przemyslaw J. Porebski, Wladek Minor
2021 J jnl
Recognizing and validating ligands with CheckMyBlob.
Nucleic Acids Res.
Dariusz Brzezinski, Przemyslaw J. Porebski, Marcin Kowiel, Joanna M. Macnar, Wladek Minor
2021 J jnl
The impact of data difficulty factors on classification of imbalanced and concept drifting data streams.
Knowl. Inf. Syst.
Dariusz Brzezinski, Leandro L. Minku, Tomasz Pewinski, Jerzy Stefanowski, Artur Szumaczuk
2020 J jnl
Fibonacci and k-Subsecting Recursive Feature Elimination.
CoRR
Dariusz Brzezinski
2020 J jnl
On the Dynamics of Classification Measures for Imbalanced and Streaming Data.
IEEE Trans. Neural Networks Learn. Syst.
Dariusz Brzezinski, Jerzy Stefanowski, Robert Susmaga, Izabela Szczech
2019 J jnl
Automatic recognition of ligands in electron density by machine learning.
Bioinform.
Marcin Kowiel, Dariusz Brzezinski, Przemyslaw J. Porebski, Ivan G. Shabalin, Mariusz Jaskolski, Wladek Minor
2018 — conf
ImWeights: Classifying Imbalanced Data Using Local and Neighborhood Information.
LIDTA@ECML/PKDD
Mateusz Lango, Dariusz Brzezinski, Jerzy Stefanowski
2018 J jnl
Visual-based analysis of classification measures and their properties for class imbalanced problems.
Inf. Sci.
Dariusz Brzezinski, Jerzy Stefanowski, Robert Susmaga, Izabela Szczech
2017 B conf
Discovering Minority Sub-clusters and Local Difficulty Factors from Imbalanced Data.
DS
Mateusz Lango, Dariusz Brzezinski, Sebastian Firlik, Jerzy Stefanowski
2017 J jnl
Prequential AUC: properties of the area under the ROC curve for data streams with concept drift.
Knowl. Inf. Syst.
Dariusz Brzezinski, Jerzy Stefanowski
2017 — ch.
Stream Classification.
Encyclopedia of Machine Learning and Data Mining
Jerzy Stefanowski, Dariusz Brzezinski
2017 — conf
Tetrahedron: Barycentric Measure Visualizer.
ECML/PKDD (3)
Dariusz Brzezinski, Jerzy Stefanowski, Robert Susmaga, Izabela Szczech
2017 C conf
Using Network Analysis to Improve Nearest Neighbor Classification of Non-network Data.
ISMIS
Maciej Piernik, Dariusz Brzezinski, Tadeusz Morzy, Mikolaj Morzy
2017 J jnl
Visual-Based Analysis of Classification Measures with Applications to Imbalanced Data.
CoRR
Dariusz Brzezinski, Jerzy Stefanowski, Robert Susmaga, Izabela Szczech
2016 — conf
Bayesian Confirmation Measures in Rule-Based Classification.
NFMCP@PKDD/ECML
Dariusz Brzezinski, Zbigniew Grudzinski, Izabela Szczech
2016 J jnl
Clustering XML documents by patterns.
Knowl. Inf. Syst.
Maciej Piernik, Dariusz Brzezinski, Tadeusz Morzy
2016 B conf
Ensemble Diversity in Evolving Data Streams.
DS
Dariusz Brzezinski, Jerzy Stefanowski
2016 — conf
PUT at SemEval-2016 Task 4: The ABC of Twitter Sentiment Analysis.
SemEval@NAACL-HLT
Mateusz Lango, Dariusz Brzezinski, Jerzy Stefanowski
2015 J jnl
Structural XML Classification in Concept Drifting Data Streams.
New Gener. Comput.
Dariusz Brzezinski, Maciej Piernik
2015 J jnl
XML clustering: a review of structural approaches.
Knowl. Eng. Rev.
Maciej Piernik, Dariusz Brzezinski, Tadeusz Morzy, Anna Lesniewska
2014 C conf
Adaptive XML Stream Classification Using Partial Tree-Edit Distance.
ISMIS
Dariusz Brzezinski, Maciej Piernik
2014 J jnl
Combining block-based and online methods in learning ensembles from concept drifting data streams.
Inf. Sci.
Dariusz Brzezinski, Jerzy Stefanowski
2014 J jnl
Open challenges for data stream mining research.
SIGKDD Explor.
Georg Krempl, Indre Zliobaite, Dariusz Brzezinski, Eyke Hüllermeier, Mark Last, Vincent Lemaire, Tino Noack, Ammar Shaker, Sonja Sievi, Myra Spiliopoulou, Jerzy Stefanowski
2014 — conf
Prequential AUC for Classifier Evaluation and Drift Detection in Evolving Data Streams.
NFMCP
Dariusz Brzezinski, Jerzy Stefanowski
2014 J jnl
Reacting to Different Types of Concept Drift: The Accuracy Updated Ensemble Algorithm.
IEEE Trans. Neural Networks Learn. Syst.
Dariusz Brzezinski, Jerzy Stefanowski
2011 — conf
Accuracy Updated Ensemble for Data Streams with Concept Drift.
HAIS (2)
Dariusz Brzezinski, Jerzy Stefanowski