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

Komorniczak, Joanna and Zyblewski, Pawel and Ksieniewicz, Pawel

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

Computational Science – ICCS 2020, 2020

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

Computational Science – ICCS 2020, 2020

Standard Decision Boundary in a Support-Domain of Fuzzy Classifier Prediction for the Task of Imbalanced Data Classification

Ksieniewicz, Pawel

Computational Science – ICCS 2020, 2020
W ramach projektu IDSTREAM

Combining Random Subspace Approach with smote Oversampling for Imbalanced Data Classification

Ksieniewicz, Pawel

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

Zyblewski, Paweł and Ksieniewicz, Paweł and Woźniak, Michał

Lecture Notes in Computer Science, 2019
W ramach projektu IDSTREAM

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

Lecture Notes in Computer Science, 2019

SMOTE Algorithm Variations in Balancing Data Streams

Gulowaty, Bogdan and Ksieniewicz, Paweł

Lecture Notes in Computer Science, 2019

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

Ksieniewicz, Paweł

Lecture Notes in Computer Science, 2018

Imbalanced Data Classification Based on Feature Selection Techniques

Ksieniewicz, Paweł and Woźniak, Michał

Lecture Notes in Computer Science, 2018

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

Ksieniewicz, Paweł and Krawczyk, Bartosz and Woźniak, Michał

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

Lecture Notes in Computer Science, 2016

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

Ksieniewicz, Paweł and Graña, Manuel and Woźniak, Michał

Lecture Notes in Computer Science, 2015

A system collecting weather data by means of meteograms

Ksieniewicz, Paweł

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

Krawczyk, Bartosz and Ksieniewicz, Paweł and Woźniak, Michał

International Joint Conference SOCO’14-CISIS’14-ICEUTE’14, 2014