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Dariusz Brzezinski
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2020 – today
- 2024
- [j17]Robert Susmaga, Izabela Szczech
, Dariusz Brzezinski:
Towards explainable TOPSIS: Visual insights into the effects of weights and aggregations on rankings. Appl. Soft Comput. 153: 111279 (2024) - [j16]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): 170 (2024) - [c12]Sebastian Chwilczynski
, Kacper Trebacz
, Karol Cyganik
, Mateusz Malecki
, Dariusz Brzezinski
:
ART: Actually Robust Training. ECML/PKDD (8) 2024: 374-378 - [i8]Sebastian Chwilczynski, Kacper Trebacz, Karol Cyganik, Mateusz Malecki, Dariusz Brzezinski:
ART: Actually Robust Training. CoRR abs/2408.16285 (2024) - [i7]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. CoRR abs/2411.08425 (2024) - 2023
- [j15]Robert Susmaga, Izabela Szczech, Piotr Zielniewicz, Dariusz Brzezinski
:
MSD-space: Visualizing the inner-workings of TOPSIS aggregations. Eur. J. Oper. Res. 308(1): 229-242 (2023) - [i6]Antoni Klorek, Karol Roszak, Izabela Szczech, Dariusz Brzezinski:
confidence-planner: Easy-to-Use Prediction Confidence Estimation and Sample Size Planning. CoRR abs/2301.05702 (2023) - [i5]Robert Susmaga, Izabela Szczech, Dariusz Brzezinski:
Towards Explainable TOPSIS: Visual Insights into the Effects of Weights and Aggregations on Rankings. CoRR abs/2306.07706 (2023) - [i4]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:
The CausalBench challenge: A machine learning contest for gene network inference from single-cell perturbation data. CoRR abs/2308.15395 (2023) - 2022
- [j14]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): 4466-4473 (2022) - [c11]Maciej Piernik
, Dariusz Brzezinski
, Pawel Zawadzki
:
Random Similarity Forests. ECML/PKDD (5) 2022: 53-69 - [i3]Maciej Piernik, Dariusz Brzezinski, Pawel Zawadzki:
Random Similarity Forests. CoRR abs/2204.05389 (2022) - 2021
- [j13]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: 114740 (2021) - [j12]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): 1429-1469 (2021) - [j11]Dariusz Brzezinski
, Przemyslaw J. Porebski
, Marcin Kowiel, Joanna M. Macnar
, Wladek Minor
:
Recognizing and validating ligands with CheckMyBlob. Nucleic Acids Res. 49(Webserver-Issue): 86-92 (2021) - 2020
- [j10]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): 2868-2878 (2020) - [i2]Dariusz Brzezinski:
Fibonacci and k-Subsecting Recursive Feature Elimination. CoRR abs/2007.14920 (2020)
2010 – 2019
- 2019
- [j9]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): 452-461 (2019) - 2018
- [j8]Dariusz Brzezinski
, Jerzy Stefanowski
, Robert Susmaga, Izabela Szczech
:
Visual-based analysis of classification measures and their properties for class imbalanced problems. Inf. Sci. 462: 242-261 (2018) - [c10]Mateusz Lango, Dariusz Brzezinski, Jerzy Stefanowski:
ImWeights: Classifying Imbalanced Data Using Local and Neighborhood Information. LIDTA@ECML/PKDD 2018: 95-109 - 2017
- [j7]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): 531-562 (2017) - [c9]Mateusz Lango
, Dariusz Brzezinski
, Sebastian Firlik, Jerzy Stefanowski
:
Discovering Minority Sub-clusters and Local Difficulty Factors from Imbalanced Data. DS 2017: 324-339 - [c8]Maciej Piernik
, Dariusz Brzezinski
, Tadeusz Morzy, Mikolaj Morzy:
Using Network Analysis to Improve Nearest Neighbor Classification of Non-network Data. ISMIS 2017: 105-115 - [c7]Dariusz Brzezinski
, Jerzy Stefanowski
, Robert Susmaga, Izabela Szczech
:
Tetrahedron: Barycentric Measure Visualizer. ECML/PKDD (3) 2017: 419-422 - [r1]Jerzy Stefanowski, Dariusz Brzezinski
:
Stream Classification. Encyclopedia of Machine Learning and Data Mining 2017: 1191-1199 - [i1]Dariusz Brzezinski, Jerzy Stefanowski, Robert Susmaga, Izabela Szczech:
Visual-Based Analysis of Classification Measures with Applications to Imbalanced Data. CoRR abs/1704.07122 (2017) - 2016
- [j6]Maciej Piernik
, Dariusz Brzezinski
, Tadeusz Morzy:
Clustering XML documents by patterns. Knowl. Inf. Syst. 46(1): 185-212 (2016) - [c6]Dariusz Brzezinski
, Jerzy Stefanowski
:
Ensemble Diversity in Evolving Data Streams. DS 2016: 229-244 - [c5]Dariusz Brzezinski
, Zbigniew Grudzinski, Izabela Szczech
:
Bayesian Confirmation Measures in Rule-Based Classification. NFMCP@PKDD/ECML 2016: 39-53 - [c4]Mateusz Lango
, Dariusz Brzezinski
, Jerzy Stefanowski
:
PUT at SemEval-2016 Task 4: The ABC of Twitter Sentiment Analysis. SemEval@NAACL-HLT 2016: 126-132 - 2015
- [j5]Maciej Piernik
, Dariusz Brzezinski
, Tadeusz Morzy, Anna Lesniewska
:
XML clustering: a review of structural approaches. Knowl. Eng. Rev. 30(3): 297-323 (2015) - [j4]Dariusz Brzezinski
, Maciej Piernik
:
Structural XML Classification in Concept Drifting Data Streams. New Gener. Comput. 33(4): 345-366 (2015) - 2014
- [j3]Dariusz Brzezinski
, Jerzy Stefanowski
:
Combining block-based and online methods in learning ensembles from concept drifting data streams. Inf. Sci. 265: 50-67 (2014) - [j2]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): 1-10 (2014) - [j1]Dariusz Brzezinski
, Jerzy Stefanowski
:
Reacting to Different Types of Concept Drift: The Accuracy Updated Ensemble Algorithm. IEEE Trans. Neural Networks Learn. Syst. 25(1): 81-94 (2014) - [c3]Dariusz Brzezinski
, Maciej Piernik:
Adaptive XML Stream Classification Using Partial Tree-Edit Distance. ISMIS 2014: 10-19 - [c2]Dariusz Brzezinski
, Jerzy Stefanowski
:
Prequential AUC for Classifier Evaluation and Drift Detection in Evolving Data Streams. NFMCP 2014: 87-101 - 2011
- [c1]Dariusz Brzezinski
, Jerzy Stefanowski
:
Accuracy Updated Ensemble for Data Streams with Concept Drift. HAIS (2) 2011: 155-163
Coauthor Index

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last updated on 2025-01-20 22:58 CET by the dblp team
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