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Paweł Ksieniewicz
Paweł Ksieniewicz
PhD, Wroclaw University of Science and Technology
Verified email at pwr.edu.pl - Homepage
Title
Cited by
Cited by
Year
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
852021
How to design the fair experimental classifier evaluation
K Stapor, P Ksieniewicz, S García, M Woźniak
Applied Soft Computing 104, 107219, 2021
632021
Sentiment analysis for fake news detection by means of neural networks
S Kula, M Choraś, R Kozik, P Ksieniewicz, M Woźniak
Computational Science–ICCS 2020: 20th International Conference, Amsterdam …, 2020
612020
Machine learning methods for fake news classification
P Ksieniewicz, M Choraś, R Kozik, M Woźniak
Intelligent Data Engineering and Automated Learning–IDEAL 2019: 20th …, 2019
382019
Stream-learn—Open-source Python library for difficult data stream batch analysis
P Ksieniewicz, P Zyblewski
Neurocomputing 478, 11-21, 2022
372022
Data stream classification using active learned neural networks
P Ksieniewicz, M Woźniak, B Cyganek, A Kasprzak, K Walkowiak
Neurocomputing 353, 74-82, 2019
372019
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
342019
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
322020
Active learning classification of drifted streaming data
M Woźniak, P Ksieniewicz, B Cyganek, A Kasprzak, K Walkowiak
Procedia Computer Science 80, 1724-1733, 2016
232016
Application of imbalanced data classification quality metrics as weighting methods of the ensemble data stream classification algorithms
W Wegier, P Ksieniewicz
Entropy 22 (8), 849, 2020
222020
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
212018
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
192020
Ensembles of heterogeneous concept drift detectors-experimental study
M Woźniak, P Ksieniewicz, B Cyganek, K Walkowiak
Computer Information Systems and Industrial Management: 15th IFIP TC8 …, 2016
192016
Statistical drift detection ensemble for batch processing of data streams
J Komorniczak, P Zyblewski, P Ksieniewicz
Knowledge-Based Systems 252, 109380, 2022
142022
SMOTE algorithm variations in balancing data streams
B Gulowaty, P Ksieniewicz
Intelligent Data Engineering and Automated Learning–IDEAL 2019: 20th …, 2019
142019
Imbalanced data classification based on feature selection techniques
P Ksieniewicz, M Woźniak
Intelligent Data Engineering and Automated Learning–IDEAL 2018: 19th …, 2018
142018
Active weighted aging ensemble for drifted data stream classification
M Woźniak, P Zyblewski, P Ksieniewicz
Information Sciences 630, 286-304, 2023
122023
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
122021
Efficient dynamic routing in spectrally-spatially flexible optical networks based on traffic categorization and supervised learning methods
R Goścień, P Ksieniewicz
Optical Switching and Networking 43, 100650, 2022
112022
Glaucoma classification based on scanning laser ophthalmoscopic images using a deep learning ensemble method
D Sułot, D Alonso-Caneiro, P Ksieniewicz, P Krzyzanowska-Berkowska, ...
Plos one 16 (6), e0252339, 2021
112021
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Articles 1–20