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 |
Ensemble of Extreme Learning Machines with trained classifier combination and statistical features for hyperspectral data P Ksieniewicz, B Krawczyk, M Woźniak Neurocomputing 271, 28-37, 2018 | 17 | 2018 |
Data stream classification using active learned neural networks P Ksieniewicz, M Woźniak, B Cyganek, A Kasprzak, K Walkowiak Neurocomputing 353, 74-82, 2019 | 14 | 2019 |
Ensembles of heterogeneous concept drift detectors-experimental study M Woźniak, P Ksieniewicz, B Cyganek, K Walkowiak IFIP International Conference on Computer Information Systems and Industrial …, 2016 | 13 | 2016 |
Active learning classification of drifted streaming data M Woźniak, P Ksieniewicz, B Cyganek, A Kasprzak, K Walkowiak Procedia Computer Science 80, 1724-1733, 2016 | 13 | 2016 |
stream-learn--open-source Python library for difficult data stream batch analysis P Ksieniewicz, P Zyblewski arXiv preprint arXiv:2001.11077, 2020 | 7 | 2020 |
Machine Learning Methods for Fake News Classification P Ksieniewicz, M Choraś, R Kozik, M Woźniak International Conference on Intelligent Data Engineering and Automated …, 2019 | 7 | 2019 |
Dealing with the task of imbalanced, multidimensional data classification using ensembles of exposers P Ksieniewicz, M Woźniak First International Workshop on Learning with Imbalanced Domains: Theory and …, 2017 | 7 | 2017 |
Hyperspectral image analysis based on color channels and ensemble classifier B Krawczyk, P Ksieniewicz, M Woźniak International Conference on Hybrid Artificial Intelligence Systems, 274-284, 2014 | 7 | 2014 |
Imbalanced data classification based on feature selection techniques P Ksieniewicz, M Woźniak International Conference on Intelligent Data Engineering and Automated …, 2018 | 6 | 2018 |
Undersampled majority class ensemble for highly imbalanced binary classification P Ksieniewicz Second International Workshop on Learning with Imbalanced Domains: Theory …, 2018 | 6 | 2018 |
Active learning classifier for streaming data M Woźniak, B Cyganek, A Kasprzak, P Ksieniewicz, K Walkowiak International Conference on Hybrid Artificial Intelligence Systems, 186-197, 2016 | 5 | 2016 |
Machine Learning Assisted Optimization of Dynamic Crosstalk-Aware Spectrally-Spatially Flexible Optical Networks M Klinkowski, P Ksieniewicz, M Jaworski, G Zalewski, K Walkowiak Journal of Lightwave Technology 38 (7), 1625-1635, 2020 | 4 | 2020 |
Combining Random Subspace approach with SMOTE oversampling for imbalanced data classification P Ksieniewicz International Conference on Hybrid Artificial Intelligence Systems, 660-673, 2019 | 4 | 2019 |
Sentiment analysis for fake news detection by means of neural networks S Kula, M Choraś, R Kozik, P Ksieniewicz, M Woźniak International Conference on Computational Science, 653-666, 2020 | 3 | 2020 |
Clustering and weighted scoring in geometric space support vector machine ensemble for highly imbalanced data classification P Ksieniewicz, R Burduk International Conference on Computational Science, 128-140, 2020 | 2 | 2020 |
SMOTE Algorithm Variations in Balancing Data Streams B Gulowaty, P Ksieniewicz International Conference on Intelligent Data Engineering and Automated …, 2019 | 2 | 2019 |
A first attempt to construct effective concept drift detector ensembles M Woźniak, P Ksieniewicz, A Kasprzak, K Puchała, P Ryba International Conference on Image Processing and Communications, 27-34, 2016 | 2 | 2016 |
A novel hyperspectral segmentation algorithm—concept and evaluation P Ksieniewicz, D Jankowski, B Ayerdi, K Jackowski, M Grana, M Wozniak Logic Journal of the IGPL 23 (1), 105-120, 2015 | 2 | 2015 |
Ensemble classifier systems for headache diagnosis K Jackowski, D Jankowski, P Ksieniewicz, D Simić, S Simić, M Woźniak Information Technologies in Biomedicine, Volume 4, 273-284, 2014 | 2 | 2014 |