| Preprocessed dynamic classifier ensemble selection for highly imbalanced drifted data streams P Zyblewski, R Sabourin, M Wo¼niak Information Fusion 66, 138-154, 2021 | 89 | 2021 |
| Stream-learn—open-source Python library for difficult data stream batch analysis P Ksieniewicz, P Zyblewski Neurocomputing 478, 11-21, 2022 | 42 | 2022 |
| Classifier Selection for Highly Imbalanced Data Streams with Minority Driven Ensemble P Zyblewski, P Ksieniewicz, M Wo¼niak International Conference on Artificial Intelligence and Soft Computing, 626-635, 2019 | 35 | 2019 |
| Fake News Detection from Data Streams P Ksieniewicz, P Zyblewski, M Chora¶, R Kozik, A Gie³czyk, M Wo¼niak 2020 International Joint Conference on Neural Networks (IJCNN), 1-8, 2020 | 34 | 2020 |
| Novel clustering-based pruning algorithms P Zyblewski, M Wo¼niak Pattern Analysis and Applications, 1-10, 2020 | 18 | 2020 |
| Active Weighted Aging Ensemble for drifted data stream classification M Wo¼niak, P Zyblewski, P Ksieniewicz Information Sciences 630, 286-304, 2023 | 14 | 2023 |
| Statistical Drift Detection Ensemble for batch processing of data streams J Komorniczak, P Zyblewski, P Ksieniewicz Knowledge-Based Systems 252, 109380, 2022 | 14 | 2022 |
| Data Preprocessing and Dynamic Ensemble Selection for Imbalanced Data Stream Classification P Zyblewski, R Sabourin, M Wo¼niak ECML PKDD 2019: Machine Learning and Knowledge Discovery in Databases, 367-379, 2020 | 14 | 2020 |
| Prior Probability Estimation in Dynamically Imbalanced Data Streams J Komorniczak, P Zyblewski, P Ksieniewicz 2021 International Joint Conference on Neural Networks (IJCNN), 1-7, 2021 | 13 | 2021 |
| Alphabet Flatting as a variant of n-gram feature extraction method in ensemble classification of fake news P Ksieniewicz, P Zyblewski, W Borek-Marciniec, R Kozik, M Chora¶, ... Engineering Applications of Artificial Intelligence 120, 105882, 2023 | 10 | 2023 |
| Clustering-based ensemble pruning and multistage organization using diversity P Zyblewski, M Wo¼niak Hybrid Artificial Intelligent Systems: 14th International Conference, HAIS …, 2019 | 8 | 2019 |
| Combination of active and random labeling strategy in the non-stationary data stream classification P Zyblewski, P Ksieniewicz, M Wo¼niak International Conference on Artificial Intelligence and Soft Computing, 576-585, 2020 | 6 | 2020 |
| Fusion of linear base classifiers in geometric space P Ksieniewicz, P Zyblewski, R Burduk Knowledge-Based Systems 227, 107231, 2021 | 5 | 2021 |
| Cyber-attack detection from iot benchmark considered as data streams P Zyblewski, M Pawlicki, R Kozik, M Chora¶ Progress in Image Processing, Pattern Recognition and Communication Systems …, 2022 | 2 | 2022 |
| Dynamic ensemble selection for imbalanced data stream classification with limited label access P Zyblewski, M Wo¼niak Artificial Intelligence and Soft Computing: 20th International Conference …, 2021 | 2 | 2021 |
| Fake News Detection from Data Streams K Pawe³, Z Pawe³, C Michal, K Rafal, G Agata, W Michal funded under SocialTruth project, which has received funding from the …, 2020 | 2 | 2020 |
| Imbalanced Data Stream Classification Assisted by Prior Probability Estimation J Komorniczak, P Zyblewski, P Ksieniewicz 2022 International Joint Conference on Neural Networks (IJCNN), 1-8, 2022 | 1 | 2022 |
| Classifier selection for imbalanced data stream classification P Zyblewski Politechnika Wroc³awska, 2021 | 1 | 2021 |
| Dynamic Classifier Selection for Data with Skewed Class Distribution Using Imbalance Ratio and Euclidean Distance P Zyblewski, M Wo¼niak Computational Science–ICCS 2020: 20th International Conference, Amsterdam …, 2020 | 1 | 2020 |
| Employing Two-Dimensional Word Embedding for Difficult Tabular Data Stream Classification P Zyblewski arXiv preprint arXiv:2404.15836, 2024 | | 2024 |
Michal WozniakWroclaw University of Science and Technology (Politechnika Wroc³awska)Adresã de e-mail confirmatã pe pwr.edu.pl
