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Paweł Ksieniewicz
Paweł Ksieniewicz
PhD, Wroclaw University of Science and Technology
Zweryfikowany adres z pwr.edu.pl - Strona główna
Tytuł
Cytowane przez
Cytowane przez
Rok
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
282019
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
262020
Data stream classification using active learned neural networks
P Ksieniewicz, M Woźniak, B Cyganek, A Kasprzak, K Walkowiak
Neurocomputing 353, 74-82, 2019
252019
How to design the fair experimental classifier evaluation
K Stapor, P Ksieniewicz, S García, M Woźniak
Applied Soft Computing 104, 107219, 2021
202021
Advanced Machine Learning techniques for fake news (online disinformation) detection: A systematic mapping study
M Choraś, K Demestichas, A Giełczyk, Á Herrero, P Ksieniewicz, ...
Applied Soft Computing 101, 107050, 2021
202021
Machine learning methods for fake news classification
P Ksieniewicz, M Choraś, R Kozik, M Woźniak
International Conference on Intelligent Data Engineering and Automated …, 2019
202019
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
182018
Active learning classification of drifted streaming data
M Woźniak, P Ksieniewicz, B Cyganek, A Kasprzak, K Walkowiak
Procedia Computer Science 80, 1724-1733, 2016
182016
Stream-learn—open-source Python library for difficult data stream batch analysis
P Ksieniewicz, P Zyblewski
Neurocomputing 478, 11-21, 2022
172022
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
152016
Imbalanced data classification based on feature selection techniques
P Ksieniewicz, M Woźniak
International Conference on Intelligent Data Engineering and Automated …, 2018
132018
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
122020
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
112020
Undersampled majority class ensemble for highly imbalanced binary classification
P Ksieniewicz
Second International Workshop on Learning with Imbalanced Domains: Theory …, 2018
102018
SMOTE algorithm variations in balancing data streams
B Gulowaty, P Ksieniewicz
International Conference on Intelligent Data Engineering and Automated …, 2019
92019
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
92017
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
72014
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
62020
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
62016
A genetic-based ensemble learning applied to imbalanced data classification
J Klikowski, P Ksieniewicz, M Woźniak
International Conference on Intelligent Data Engineering and Automated …, 2019
52019
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