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 | 17 | 2019 |
stream-learn--open-source Python library for difficult data stream batch analysis P Ksieniewicz, P Zyblewski arXiv preprint arXiv:2001.11077, 2020 | 7 | 2020 |
Preprocessed dynamic classifier ensemble selection for highly imbalanced drifted data streams P Zyblewski, R Sabourin, M Woźniak Information Fusion 66, 138-154, 2021 | 2 | 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 | 2 | 2020 |
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 | 1 | 2020 |
Novel clustering-based pruning algorithms P Zyblewski, M Woźniak Pattern Analysis and Applications, 1-10, 2020 | 1 | 2020 |
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 | | 2020 |
Dynamic Classifier Selection for Data with Skewed Class Distribution Using Imbalance Ratio and Euclidean Distance P Zyblewski, M Woźniak International Conference on Computational Science, 59-73, 2020 | | 2020 |
Clustering-Based Ensemble Pruning and Multistage Organization Using Diversity P Zyblewski, M Woźniak International Conference on Hybrid Artificial Intelligence Systems, 287-298, 2019 | | 2019 |