Alphabet Flatting as a variant of n-gram feature extraction method in ensemble classification of fake news

Ksieniewicz, Paweł and Zyblewski, Paweł and Borek-Marciniec, Weronika and Kozik, Rafał and Choraś, Michał and Woźniak, Michał

Engineering Applications of Artificial Intelligence, 2023

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

Deterministic Sampling Classifier with weighted Bagging for drifted imbalanced data stream classification

Klikowski, Jakub and Woźniak, Michał

Applied Soft Computing, 2022
W ramach projektu IDSTREAM

The prior probability in the batch classification of imbalanced data streams

Ksieniewicz, Paweł

Neurocomputing, 2021
W ramach projektu IDSTREAM

Dynamic Ensemble Selection for Imbalanced Data Stream Classification with Limited Label Access

Zyblewski, Paweł and Woźniak, Michał

Lecture Notes in Computer Science, 2021
W ramach projektu IDSTREAM

Hellinger Distance Weighted Ensemble for imbalanced data stream classification

Grzyb, Joanna and Klikowski, Jakub and Woźniak, Michał

Journal of Computational Science, 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

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

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

Preprocessed dynamic classifier ensemble selection for highly imbalanced drifted data streams

Zyblewski, Paweł and Sabourin, Robert and Woźniak, Michał

Information Fusion, 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

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