Stream-learn — open-source Python library for difficult data stream batch analysis

Ksieniewicz, P. and Zyblewski, P.

Neurocomputing, 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

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

The prior probability in the batch classification of imbalanced data streams

Ksieniewicz, Paweł

Neurocomputing, 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

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

Fusion of linear base classifiers in geometric space

Ksieniewicz, Paweł and Zyblewski, Paweł and Burduk, Robert

Knowledge-Based Systems, 2021

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

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

Data stream classification using active learned neural networks

Ksieniewicz, Paweł and Woźniak, Michał and Cyganek, Bogusław and Kasprzak, Andrzej and Walkowiak, Krzysztof

Neurocomputing, 2019