Paweł Ksieniewicz
Title
Cited by
Cited by
Year
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
172019
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
172018
Data stream classification using active learned neural networks
P Ksieniewicz, M Woźniak, B Cyganek, A Kasprzak, K Walkowiak
Neurocomputing 353, 74-82, 2019
132019
Active learning classification of drifted streaming data
M Woźniak, P Ksieniewicz, B Cyganek, A Kasprzak, K Walkowiak
Procedia Computer Science 80, 1724-1733, 2016
132016
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
122016
stream-learn--open-source Python library for difficult data stream batch analysis
P Ksieniewicz, P Zyblewski
arXiv preprint arXiv:2001.11077, 2020
72020
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
72017
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
Imbalanced data classification based on feature selection techniques
P Ksieniewicz, M Woźniak
International Conference on Intelligent Data Engineering and Automated …, 2018
62018
Undersampled majority class ensemble for highly imbalanced binary classification
P Ksieniewicz
Second International Workshop on Learning with Imbalanced Domains: Theory …, 2018
62018
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
52016
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
42020
Machine Learning Methods for Fake News Classification
P Ksieniewicz, M Choraś, R Kozik, M Woźniak
International Conference on Intelligent Data Engineering and Automated …, 2019
42019
Combining Random Subspace approach with SMOTE oversampling for imbalanced data classification
P Ksieniewicz
International Conference on Hybrid Artificial Intelligence Systems, 660-673, 2019
42019
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
22020
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
22020
SMOTE Algorithm Variations in Balancing Data Streams
B Gulowaty, P Ksieniewicz
International Conference on Intelligent Data Engineering and Automated …, 2019
22019
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
22016
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
22015
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
22014
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Articles 1–20