| Preprocessed dynamic classifier ensemble selection for highly imbalanced drifted data streams P Zyblewski, R Sabourin, M Woźniak Information Fusion 66, 138-154, 2021 | 98 | 2021 |
| Stream-learn—open-source Python library for difficult data stream batch analysis P Ksieniewicz, P Zyblewski Neurocomputing 478, 11-21, 2022 | 48 | 2022 |
| Fake News Detection from Data Streams P Ksieniewicz, P Zyblewski, M Choraś, R Kozik, A Giełczyk, M Woźniak 2020 International Joint Conference on Neural Networks (IJCNN), 1-8, 2020 | 36 | 2020 |
| Classifier Selection for Highly Imbalanced Data Streams with Minority Driven Ensemble P Zyblewski, P Ksieniewicz, M Woźniak International Conference on Artificial Intelligence and Soft Computing, 626-635, 2019 | 36 | 2019 |
| Novel clustering-based pruning algorithms P Zyblewski, M Woźniak Pattern Analysis and Applications, 1-10, 2020 | 20 | 2020 |
| Active Weighted Aging Ensemble for drifted data stream classification M Woźniak, P Zyblewski, P Ksieniewicz Information Sciences 630, 286-304, 2023 | 18 | 2023 |
| Statistical Drift Detection Ensemble for batch processing of data streams J Komorniczak, P Zyblewski, P Ksieniewicz Knowledge-Based Systems 252, 109380, 2022 | 17 | 2022 |
| 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 Choraś, ... Engineering Applications of Artificial Intelligence 120, 105882, 2023 | 15 | 2023 |
| 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 | 15 | 2021 |
| Data Preprocessing and Dynamic Ensemble Selection for Imbalanced Data Stream Classification P Zyblewski, R Sabourin, M Woźniak ECML PKDD 2019: Machine Learning and Knowledge Discovery in Databases, 367-379, 2020 | 14 | 2020 |
| Clustering-based ensemble pruning and multistage organization using diversity P Zyblewski, M Woźniak 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 Woźniak 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 Choraś 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 Woźniak Artificial Intelligence and Soft Computing: 20th International Conference …, 2021 | 2 | 2021 |
| Fake News Detection from Data Streams K Paweł, Z Paweł, C Michal, K Rafal, G Agata, W Michal funded under SocialTruth project, which has received funding from the …, 2020 | 2 | 2020 |
| A Non-deep Approach to Classifying Movie Genres Based on Multimodal Data P Niedziółka, P Zyblewski International Conference on Computer Recognition Systems, 23-33, 2023 | 1 | 2023 |
| 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 |
| Analysis of Variance Application in the Construction of Classifier Ensemble Based on Optimal Feature Subset for the Task of Supporting Glaucoma Diagnosis D Sułot, P Zyblewski, P Ksieniewicz International Conference on Computational Science, 109-117, 2021 | 1 | 2021 |
| Classifier selection for imbalanced data stream classification P Zyblewski Politechnika Wrocławska, 2021 | 1 | 2021 |
Paweł KsieniewiczWroclaw University of Science and TechnologyVerified email at pwr.edu.pl
