Dariusz Brzezinski

Publication Activity (10 Years)

Years Active: 2011-2024
Publications (10 Years): 30

Top Topics

Class Imbalanced

Top Venues

Knowl. Inf. Syst.

IEEE Trans. Neural Networks Learn. Syst.

Publications

Robert Susmaga, Izabela Szczech, Dariusz Brzezinski
Towards explainable TOPSIS: Visual insights into the effects of weights and aggregations on rankings. Appl. Soft Comput. 153 (2024)
Dariusz Brzezinski, Julia Stachowiak, Jerzy Stefanowski, Izabela Szczech, Robert Susmaga, Sofya Aksenyuk, Uladzimir Ivashka, Oleksandr Yasinskyi
Properties of Fairness Measures in the Context of Varying Class Imbalance and Protected Group Ratios. ACM Trans. Knowl. Discov. Data 18 (7) (2024)
Dariusz Brzezinski, Julia Stachowiak, Jerzy Stefanowski, Izabela Szczech, Robert Susmaga, Sofya Aksenyuk, Uladzimir Ivashka, Oleksandr Yasinskyi
Properties of Fairness Measures in the Context of Varying Class Imbalance and Protected Group Ratios. IEEE Trans. Knowl. Data Eng. 18 (7) (2024)
Robert Susmaga, Izabela Szczech, Piotr Zielniewicz, Dariusz Brzezinski
MSD-space: Visualizing the inner-workings of TOPSIS aggregations. Eur. J. Oper. Res. 308 (1) (2023)
Robert Susmaga, Izabela Szczech, Dariusz Brzezinski
Towards Explainable TOPSIS: Visual Insights into the Effects of Weights and Aggregations on Rankings. CoRR (2023)
Mathieu Chevalley, Jacob Sackett-Sanders, Yusuf 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
The CausalBench challenge: A machine learning contest for gene network inference from single-cell perturbation data. CoRR (2023)
Antoni Klorek, Karol Roszak, Izabela Szczech, Dariusz Brzezinski
confidence-planner: Easy-to-Use Prediction Confidence Estimation and Sample Size Planning. CoRR (2023)
Maciej Piernik, Dariusz Brzezinski, Pawel Sztromwasser, Klaudia Pacewicz, Weronika Majer-Burman, Michal Gniot, Dawid Sielski, Oleksii Bryzghalov, Alicja Wozna, Pawel Zawadzki
DBFE: distribution-based feature extraction from structural variants in whole-genome data. Bioinform. 38 (19) (2022)
Maciej Piernik, Dariusz Brzezinski, Pawel Zawadzki
Random Similarity Forests. ECML/PKDD (5) (2022)
Maciej Piernik, Dariusz Brzezinski, Pawel Zawadzki
Random Similarity Forests. CoRR (2022)
Adam Czyzewski, Faustyna Krawiec, Dariusz Brzezinski, Przemyslaw J. Porebski, Wladek Minor
Detecting anomalies in X-ray diffraction images using convolutional neural networks. Expert Syst. Appl. 174 (2021)
Dariusz Brzezinski, Leandro L. Minku, Tomasz Pewinski, Jerzy Stefanowski, Artur Szumaczuk
The impact of data difficulty factors on classification of imbalanced and concept drifting data streams. Knowl. Inf. Syst. 63 (6) (2021)
Dariusz Brzezinski, Przemyslaw J. Porebski, Marcin Kowiel, Joanna M. Macnar, Wladek Minor
Recognizing and validating ligands with CheckMyBlob. Nucleic Acids Res. 49 (Webserver-Issue) (2021)
Dariusz Brzezinski
Fibonacci and k-Subsecting Recursive Feature Elimination. CoRR (2020)
Dariusz Brzezinski, Jerzy Stefanowski, Robert Susmaga, Izabela Szczech
On the Dynamics of Classification Measures for Imbalanced and Streaming Data. IEEE Trans. Neural Networks Learn. Syst. 31 (8) (2020)
Marcin Kowiel, Dariusz Brzezinski, Przemyslaw J. Porebski, Ivan G. Shabalin, Mariusz Jaskolski, Wladek Minor
Automatic recognition of ligands in electron density by machine learning. Bioinform. 35 (3) (2019)
Dariusz Brzezinski
Computation of Gauss-Jacobi Quadrature Nodes and Weights with Arbitrary Precision. FedCSIS (2018)
Dariusz Brzezinski, Jerzy Stefanowski, Robert Susmaga, Izabela Szczech
Visual-based analysis of classification measures and their properties for class imbalanced problems. Inf. Sci. 462 (2018)
Mateusz Lango, Dariusz Brzezinski, Jerzy Stefanowski
ImWeights: Classifying Imbalanced Data Using Local and Neighborhood Information. LIDTA@ECML/PKDD (2018)
Maciej Piernik, Dariusz Brzezinski, Tadeusz Morzy, Mikolaj Morzy
Using Network Analysis to Improve Nearest Neighbor Classification of Non-network Data. ISMIS (2017)
Dariusz Brzezinski, Jerzy Stefanowski, Robert Susmaga, Izabela Szczech
Visual-Based Analysis of Classification Measures with Applications to Imbalanced Data. CoRR (2017)
Dariusz Brzezinski, Jerzy Stefanowski
Prequential AUC: properties of the area under the ROC curve for data streams with concept drift. Knowl. Inf. Syst. 52 (2) (2017)
Dariusz Brzezinski, Jerzy Stefanowski, Robert Susmaga, Izabela Szczech
Tetrahedron: Barycentric Measure Visualizer. ECML/PKDD (3) (2017)
Mateusz Lango, Dariusz Brzezinski, Sebastian Firlik, Jerzy Stefanowski
Discovering Minority Sub-clusters and Local Difficulty Factors from Imbalanced Data. DS (2017)
Dariusz Brzezinski, Jerzy Stefanowski
Ensemble Diversity in Evolving Data Streams. DS (2016)
Maciej Piernik, Dariusz Brzezinski, Tadeusz Morzy
Clustering XML documents by patterns. Knowl. Inf. Syst. 46 (1) (2016)
Mateusz Lango, Dariusz Brzezinski, Jerzy Stefanowski
PUT at SemEval-2016 Task 4: The ABC of Twitter Sentiment Analysis. SemEval@NAACL-HLT (2016)
Dariusz Brzezinski, Zbigniew Grudzinski, Izabela Szczech
Bayesian Confirmation Measures in Rule-Based Classification. NFMCP@PKDD/ECML (2016)
Maciej Piernik, Dariusz Brzezinski, Tadeusz Morzy, Anna Lesniewska
XML clustering: a review of structural approaches. Knowl. Eng. Rev. 30 (3) (2015)
Dariusz Brzezinski, Maciej Piernik
Structural XML Classification in Concept Drifting Data Streams. New Gener. Comput. 33 (4) (2015)
Georg Krempl, Indre Zliobaite, Dariusz Brzezinski, Eyke Hüllermeier, Mark Last, Vincent Lemaire, Tino Noack, Ammar Shaker, Sonja Sievi, Myra Spiliopoulou, Jerzy Stefanowski
Open challenges for data stream mining research. SIGKDD Explor. 16 (1) (2014)
Dariusz Brzezinski, Jerzy Stefanowski
Prequential AUC for Classifier Evaluation and Drift Detection in Evolving Data Streams. NFMCP (2014)
Dariusz Brzezinski, Jerzy Stefanowski
Reacting to Different Types of Concept Drift: The Accuracy Updated Ensemble Algorithm. IEEE Trans. Neural Networks Learn. Syst. 25 (1) (2014)
Dariusz Brzezinski, Maciej Piernik
Adaptive XML Stream Classification Using Partial Tree-Edit Distance. ISMIS (2014)
Dariusz Brzezinski, Jerzy Stefanowski
Combining block-based and online methods in learning ensembles from concept drifting data streams. Inf. Sci. 265 (2014)
Dariusz Brzezinski, Jerzy Stefanowski
Accuracy Updated Ensemble for Data Streams with Concept Drift. HAIS (2) (2011)