Publikacje naukowe Paweł Ksieniewicz
prof. PWr, dr hab. inż.
Paweł Ksieniewicz
Numer ORCID
Publikacji
48
2018
4
2019
7
2020
8
2021
2022
2023
1
problexity—An open-source Python library for supervised learning problem complexity assessment
Komorniczak, Joanna and Ksieniewicz, Paweł
Neurocomputing, 2023
Efficient dynamic routing in Spectrally-Spatially Flexible Optical Networks based on traffic categorization and supervised learning methods
Goścień, Róża and Ksieniewicz, Paweł
Optical Switching and Networking, 2022
Hybrid Regression Model for Link Dimensioning in Spectrally-Spatially Flexible Optical Networks
Wojciechowski, Szymon and Goscien, Roza and Ksieniewicz, Pawel and Walkowiak, Krzysztof
IEEE Access, 2022
Processing data stream with chunk-similarity model selection
Ksieniewicz, Pawel
Applied Intelligence, 2022 W ramach projektu IDSTREAM
Statistical Drift Detection Ensemble for batch processing of data streams
Komorniczak, Joanna and Zyblewski, Paweł and Ksieniewicz, Paweł
Knowledge-Based Systems, 2022 W ramach projektu IDSTREAM
Stream-learn — open-source Python library for difficult data stream batch analysis
Ksieniewicz, P. and Zyblewski, P.
Neurocomputing, 2022 W ramach projektu IDSTREAM
Data stream generation through real concept’s interpolation
Komorniczak, Joanna and Ksieniewicz, Pawel
ESANN 2022 proceedings, 2022 W ramach projektu IDSTREAM
Imbalanced Data Stream Classification Assisted by Prior Probability Estimation
Komorniczak, Joanna and Zyblewski, Pawel and Ksieniewicz, Pawel
2022 International Joint Conference on Neural Networks (IJCNN), 2022 W ramach projektu IDSTREAM
Inductive Parallel Learning for Multiple Classification Problems
Borek, Weronika and Ksieniewicz, Pawel
2022 International Joint Conference on Neural Networks (IJCNN), 2022
Analysis of Variance Application in the Construction of Classifier Ensemble Based on Optimal Feature Subset for the Task of Supporting Glaucoma Diagnosis
Sułot, Dominika and Zyblewski, Paweł and Ksieniewicz, Paweł
Lecture Notes in Computer Science, 2021
Fusion of linear base classifiers in geometric space
Ksieniewicz, Paweł and Zyblewski, Paweł and Burduk, Robert
Knowledge-Based Systems, 2021
Glaucoma classification based on scanning laser ophthalmoscopic images using a deep learning ensemble method
Sułot, Dominika and Alonso-Caneiro, David and Ksieniewicz, Paweł and Krzyzanowska-Berkowska, Patrycja and Iskander, D. Robert
PLOS ONE, 2021
How to design the fair experimental classifier evaluation
Stapor, Katarzyna and Ksieniewicz, Paweł and García, Salvador and Woźniak, Michał
Applied Soft Computing, 2021 W ramach projektu IDSTREAM
Advanced Machine Learning techniques for fake news (online disinformation) detection: A systematic mapping study
Choraś, Michał and Demestichas, Konstantinos and Giełczyk, Agata and Herrero, Álvaro and Ksieniewicz, Paweł and Remoundou, Konstantina and Urda, Daniel and Woźniak, Michał
Applied Soft Computing, 2021
The prior probability in the batch classification of imbalanced data streams
Ksieniewicz, Paweł
Neurocomputing, 2021 W ramach projektu IDSTREAM
Prior Probability Estimation in Dynamically Imbalanced Data Streams
2021 International Joint Conference on Neural Networks (IJCNN), 2021 W ramach projektu IDSTREAM
Clustering and Weighted Scoring in Geometric Space Support Vector Machine Ensemble for Highly Imbalanced Data Classification
Ksieniewicz, Paweł and Burduk, Robert
Computational Science – ICCS 2020, 2020
Fake News Detection from Data Streams
Ksieniewicz, Pawel and Zyblewski, Pawel and Choras, Michal and Kozik, Rafal and Gielczyk, Agata and Wozniak, Michal
2020 International Joint Conference on Neural Networks (IJCNN), 2020
Combination of Active and Random Labeling Strategy in the Non-stationary Data Stream Classification
Zyblewski, Paweł and Ksieniewicz, Paweł and Woźniak, Michał
Lecture Notes in Computer Science, 2020 W ramach projektu IDSTREAM
Application of Imbalanced Data Classification Quality Metrics as Weighting Methods of the Ensemble Data Stream Classification Algorithms
Wegier, Weronika and Ksieniewicz, Pawel
Entropy, 2020 W ramach projektu IDSTREAM
Machine Learning Assisted Optimization of Dynamic Crosstalk-Aware Spectrally-Spatially Flexible Optical Networks
Klinkowski, Miroslaw and Ksieniewicz, Pawel and Jaworski, Marek and Zalewski, Grzegorz and Walkowiak, Krzysztof
Journal of Lightwave Technology, 2020
Pattern Recognition Model to Aid the Optimization of Dynamic Spectrally-Spatially Flexible Optical Networks
Ksieniewicz, Paweł and Goścień, Róża and Klinkowski, Mirosław and Walkowiak, Krzysztof
Sentiment Analysis for Fake News Detection by Means of Neural Networks
Kula, Sebastian and Choraś, Michał and Kozik, Rafał and Ksieniewicz, Paweł and Woźniak, Michał
Standard Decision Boundary in a Support-Domain of Fuzzy Classifier Prediction for the Task of Imbalanced Data Classification
Computational Science – ICCS 2020, 2020 W ramach projektu IDSTREAM
Combining Random Subspace Approach with smote Oversampling for Imbalanced Data Classification
Hybrid Artificial Intelligent Systems, 2019
Data stream classification using active learned neural networks
Ksieniewicz, Paweł and Woźniak, Michał and Cyganek, Bogusław and Kasprzak, Andrzej and Walkowiak, Krzysztof
Neurocomputing, 2019
A Genetic-Based Ensemble Learning Applied to Imbalanced Data Classification
Klikowski, Jakub and Ksieniewicz, Paweł and Woźniak, Michał
Lecture Notes in Computer Science, 2019 W ramach projektu IDSTREAM
Classifier Selection for Highly Imbalanced Data Streams with Minority Driven Ensemble
Imbalance Reduction Techniques Applied to ECG Classification Problem
Kozal, Jȩdrzej and Ksieniewicz, Paweł
Lecture Notes in Computer Science, 2019
Machine Learning Methods for Fake News Classification
Ksieniewicz, Paweł and Choraś, Michał and Kozik, Rafał and Woźniak, Michał
SMOTE Algorithm Variations in Balancing Data Streams
Gulowaty, Bogdan and Ksieniewicz, Paweł
An Empirical Insight Into Concept Drift Detectors Ensemble Strategies
Lapinski, Andrzej and Krawczyk, Bartosz and Ksicnicwicz, Pawel and Wozniak, Michal
2018 IEEE Congress on Evolutionary Computation (CEC), 2018
Ensemble of Extreme Learning Machines with trained classifier combination and statistical features for hyperspectral data
Ksieniewicz, Paweł and Krawczyk, Bartosz and Woźniak, Michał
Neurocomputing, 2018
Combined Classifier Based on Quantized Subspace Class Distribution
Lecture Notes in Computer Science, 2018
Imbalanced Data Classification Based on Feature Selection Techniques
Ksieniewicz, Paweł and Woźniak, Michał
Paired feature multilayer ensemble – concept and evaluation of a classifier
Ksieniewicz, Paweł and Graña, Manuel and Woźniak, Michał
Journal of Intelligent & Fuzzy Systems, 2017
Active Learning Classification of Drifted Streaming Data
Woźniak, Michał and Ksieniewicz, Paweł and Cyganek, Bogusław and Kasprzak, Andrzej and Walkowiak, Krzysztof
Procedia Computer Science, 2016
Active Learning Classifier for Streaming Data
Woźniak, Michał and Cyganek, Bogusław and Kasprzak, Andrzej and Ksieniewicz, Paweł and Walkowiak, Krzysztof
Hybrid Artificial Intelligent Systems, 2016
Artificial Photoreceptors for Ensemble Classification of Hyperspectral Images
Ksieniewicz, Pawel and Woźniak, Michał
Proceedings of the 9th International Conference on Computer Recognition Systems CORES 2015, 2016
Ensemble of One-Dimensional Classifiers for Hyperspectral Image Analysis
Lecture Notes in Computer Science, 2016
Ensembles of Heterogeneous Concept Drift Detectors - Experimental Study
Woźniak, Michał and Ksieniewicz, Paweł and Cyganek, Bogusław and Walkowiak, Krzysztof
A First Attempt to Construct Effective Concept Drift Detector Ensembles
Woźniak, Michał and Ksieniewicz, Paweł and Kasprzak, Andrzej and Puchała, Karol and Ryba, Przemysław
Image Processing and Communications Challenges 8, 2016
Blurred Labeling Segmentation Algorithm for Hyperspectral Images
Lecture Notes in Computer Science, 2015
A system collecting weather data by means of meteograms
Mechanik, 2015
A novel hyperspectral segmentation algorithm--concept and evaluation
Ksieniewicz, P. and Jankowski, D. and Ayerdi, B. and Jackowski, K. and Grana, M. and Wozniak, M.
Logic Journal of IGPL, 2014
Ensemble Classifier Systems for Headache Diagnosis
Jackowski, Konrad and Jankowski, Dariusz and Ksieniewicz, Paweł and Simić, Dragan and Simić, Svetlana and Woźniak, Michał
Information Technologies in Biomedicine, Volume 4, 2014
Hyperspectral Image Analysis Based on Color Channels and Ensemble Classifier
Krawczyk, Bartosz and Ksieniewicz, Paweł and Woźniak, Michał
Hybrid Artificial Intelligence Systems, 2014
Hyperspectral Image Analysis Based on Quad Tree Decomposition
International Joint Conference SOCO’14-CISIS’14-ICEUTE’14, 2014