Dariusz Brzezinski

According to our database, Dariusz Brzezinski authored at least 32 papers between 2011 and 2023.

Collaborative distances:

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

2023

MSD-space: Visualizing the inner-workings of TOPSIS aggregations.

Robert Susmaga, Izabela Szczech, Piotr Zielniewicz, Dariusz Brzezinski

Eur. J. Oper. Res., July, 2023

The CausalBench challenge: A machine learning contest for gene network inference from single-cell perturbation data.

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

CoRR, 2023

Towards Explainable TOPSIS: Visual Insights into the Effects of Weights and Aggregations on Rankings.

Robert Susmaga, Izabela Szczech, Dariusz Brzezinski

CoRR, 2023

confidence-planner: Easy-to-Use Prediction Confidence Estimation and Sample Size Planning.

Antoni Klorek, Karol Roszak, Izabela Szczech, Dariusz Brzezinski

CoRR, 2023

2022

DBFE: distribution-based feature extraction from structural variants in whole-genome data.

Maciej Piernik, Dariusz Brzezinski, Pawel Sztromwasser, Klaudia Pacewicz, Weronika Majer-Burman, Michal Gniot, Dawid Sielski, Oleksii Bryzghalov, Alicja Wozna, Pawel Zawadzki

Bioinform., 2022

Random Similarity Forests.

Maciej Piernik, Dariusz Brzezinski, Pawel Zawadzki

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2022

2021

Recognizing and validating ligands with CheckMyBlob.

Dariusz Brzezinski, Przemyslaw J. Porebski, Marcin Kowiel, Joanna M. Macnar, Wladek Minor

Nucleic Acids Res., 2021

The impact of data difficulty factors on classification of imbalanced and concept drifting data streams.

Dariusz Brzezinski, Leandro L. Minku, Tomasz Pewinski, Jerzy Stefanowski, Artur Szumaczuk

Knowl. Inf. Syst., 2021

Detecting anomalies in X-ray diffraction images using convolutional neural networks.

Adam Czyzewski, Faustyna Krawiec, Dariusz Brzezinski, Przemyslaw J. Porebski, Wladek Minor

Expert Syst. Appl., 2021

2020

On the Dynamics of Classification Measures for Imbalanced and Streaming Data.

Dariusz Brzezinski, Jerzy Stefanowski, Robert Susmaga, Izabela Szczech

IEEE Trans. Neural Networks Learn. Syst., 2020

Fibonacci and k-Subsecting Recursive Feature Elimination.

Dariusz Brzezinski

CoRR, 2020

2019

Automatic recognition of ligands in electron density by machine learning.

Marcin Kowiel, Dariusz Brzezinski, Przemyslaw J. Porebski, Ivan G. Shabalin, Mariusz Jaskolski, Wladek Minor

Bioinform., 2019

2018

Visual-based analysis of classification measures and their properties for class imbalanced problems.

Dariusz Brzezinski, Jerzy Stefanowski, Robert Susmaga, Izabela Szczech

Inf. Sci., 2018

ImWeights: Classifying Imbalanced Data Using Local and Neighborhood Information.

Mateusz Lango, Dariusz Brzezinski, Jerzy Stefanowski

Proceedings of the Second International Workshop on Learning with Imbalanced Domains: Theory and Applications, 2018

2017

Stream Classification.

Jerzy Stefanowski, Dariusz Brzezinski

Proceedings of the Encyclopedia of Machine Learning and Data Mining, 2017

Prequential AUC: properties of the area under the ROC curve for data streams with concept drift.

Dariusz Brzezinski, Jerzy Stefanowski

Knowl. Inf. Syst., 2017

Visual-Based Analysis of Classification Measures with Applications to Imbalanced Data.

Dariusz Brzezinski, Jerzy Stefanowski, Robert Susmaga, Izabela Szczech

CoRR, 2017

Tetrahedron: Barycentric Measure Visualizer.

Dariusz Brzezinski, Jerzy Stefanowski, Robert Susmaga, Izabela Szczech

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2017

Using Network Analysis to Improve Nearest Neighbor Classification of Non-network Data.

Maciej Piernik, Dariusz Brzezinski, Tadeusz Morzy, Mikolaj Morzy

Proceedings of the Foundations of Intelligent Systems - 23rd International Symposium, 2017

Discovering Minority Sub-clusters and Local Difficulty Factors from Imbalanced Data.

Mateusz Lango, Dariusz Brzezinski, Sebastian Firlik, Jerzy Stefanowski

Proceedings of the Discovery Science - 20th International Conference, 2017

2016

Clustering XML documents by patterns.

Maciej Piernik, Dariusz Brzezinski, Tadeusz Morzy

Knowl. Inf. Syst., 2016

PUT at SemEval-2016 Task 4: The ABC of Twitter Sentiment Analysis.

Mateusz Lango, Dariusz Brzezinski, Jerzy Stefanowski

Proceedings of the 10th International Workshop on Semantic Evaluation, 2016

Bayesian Confirmation Measures in Rule-Based Classification.

Dariusz Brzezinski, Zbigniew Grudzinski, Izabela Szczech

Proceedings of the New Frontiers in Mining Complex Patterns - 5th International Workshop, 2016

Ensemble Diversity in Evolving Data Streams.

Dariusz Brzezinski, Jerzy Stefanowski

Proceedings of the Discovery Science - 19th International Conference, 2016

2015

Structural XML Classification in Concept Drifting Data Streams.

Dariusz Brzezinski, Maciej Piernik

New Gener. Comput., 2015

XML clustering: a review of structural approaches.

Maciej Piernik, Dariusz Brzezinski, Tadeusz Morzy, Anna Lesniewska

Knowl. Eng. Rev., 2015

2014

Reacting to Different Types of Concept Drift: The Accuracy Updated Ensemble Algorithm.

Dariusz Brzezinski, Jerzy Stefanowski

IEEE Trans. Neural Networks Learn. Syst., 2014

Open challenges for data stream mining research.

Georg Krempl, Indre Zliobaite, Dariusz Brzezinski, Eyke Hüllermeier, Mark Last, Vincent Lemaire, Tino Noack, Ammar Shaker, Sonja Sievi, Myra Spiliopoulou, Jerzy Stefanowski

SIGKDD Explor., 2014

Combining block-based and online methods in learning ensembles from concept drifting data streams.

Dariusz Brzezinski, Jerzy Stefanowski

Inf. Sci., 2014

Prequential AUC for Classifier Evaluation and Drift Detection in Evolving Data Streams.

Dariusz Brzezinski, Jerzy Stefanowski

Proceedings of the New Frontiers in Mining Complex Patterns - Third International Workshop, 2014

Adaptive XML Stream Classification Using Partial Tree-Edit Distance.

Dariusz Brzezinski, Maciej Piernik

Proceedings of the Foundations of Intelligent Systems - 21st International Symposium, 2014

2011

Accuracy Updated Ensemble for Data Streams with Concept Drift.

Dariusz Brzezinski, Jerzy Stefanowski

Proceedings of the Hybrid Artificial Intelligent Systems - 6th International Conference, 2011