Clustering-Based Ensemble Pruning and Multistage Organization Using Diversity. - Pawel Zyblewski; Michal Wozniak 001 (HAIS, 2019)

Classifier Selection for Highly Imbalanced Data Streams with Minority Driven Ensemble. - Pawel Zyblewski; Pawel Ksieniewicz; Michal Wozniak 001 (ICAISC (1), 2019)

Data Preprocessing and Dynamic Ensemble Selection for Imbalanced Data Stream Classification. - Pawel Zyblewski; Robert Sabourin; Michal Wozniak 001 (PKDD/ECML Workshops (2), 2019)

Combination of Active and Random Labeling Strategy in the Non-stationary Data Stream Classification. - Pawel Zyblewski; Pawel Ksieniewicz; Michal Wozniak 001 (ICAISC (1), 2020)

Dynamic Classifier Selection for Data with Skewed Class Distribution Using Imbalance Ratio and Euclidean Distance. - Pawel Zyblewski; Michal Wozniak 001 (ICCS (4), 2020)

Fake News Detection from Data Streams. - Pawel Ksieniewicz; Pawel Zyblewski; Michal Choras; Rafal Kozik; Agata Gielczyk; Michal Wozniak 001 (IJCNN, 2020)

stream-learn - open-source Python library for difficult data stream batch analysis. - Pawel Ksieniewicz; Pawel Zyblewski (CoRR, 2020)

Novel clustering-based pruning algorithms. - Pawel Zyblewski; Michal Wozniak 001 (Pattern Anal. Appl., 2020)

Cyber-Attack Detection from IoT Benchmark Considered as Data Streams. - Pawel Zyblewski; Marek Pawlicki; Rafal Kozik; Michal Choras (CORES/IP&C/ACS, 2021)

Dynamic Ensemble Selection for Imbalanced Data Stream Classification with Limited Label Access. - Pawel Zyblewski; Michal Wozniak 001 (ICAISC (2), 2021)

Analysis of Variance Application in the Construction of Classifier Ensemble Based on Optimal Feature Subset for the Task of Supporting Glaucoma Diagnosis. - Dominika Sulot; Pawel Zyblewski; Pawel Ksieniewicz (ICCS (3), 2021)

Clustering-Based Ensemble Pruning in the Imbalanced Data Classification. - Pawel Zyblewski (ICCS (3), 2021)

Prior Probability Estimation in Dynamically Imbalanced Data Streams. - Joanna Komorniczak; Pawel Zyblewski; Pawel Ksieniewicz (IJCNN, 2021)

Preprocessed dynamic classifier ensemble selection for highly imbalanced drifted data streams. - Pawel Zyblewski; Robert Sabourin; Michal Wozniak 001 (Inf. Fusion, 2021)

Fusion of linear base classifiers in geometric space. - Pawel Ksieniewicz; Pawel Zyblewski; Robert Burduk (Knowl. Based Syst., 2021)

Feature Integration Strategies for Multilingual Fake News Classification. - Jedrzej Kozal; Michal Les; Pawel Zyblewski; Pawel Ksieniewicz; Michal Wozniak 001 (IEEE Big Data, 2022)

Imbalanced Data Stream Classification Assisted by Prior Probability Estimation. - Joanna Komorniczak; Pawel Zyblewski; Pawel Ksieniewicz (IJCNN, 2022)

Lifelong Learning Natural Language Processing Approach for Multilingual Data Classification. - Jedrzej Kozal; Michal Les; Pawel Zyblewski; Pawel Ksieniewicz; Michal Wozniak 001 (CoRR, 2022)

Stream-learn - open-source Python library for difficult data stream batch analysis. - Pawel Ksieniewicz; Pawel Zyblewski (Neurocomputing, 2022)

Statistical Drift Detection Ensemble for batch processing of data streams. - Joanna Komorniczak; Pawel Zyblewski; Pawel Ksieniewicz (Knowl. Based Syst., 2022)

A Non-deep Approach to Classifying Movie Genres Based on Multimodal Data. - Pawel Niedziólka; Pawel Zyblewski (CORES/IP&C, 2023)

Alphabet Flatting as a variant of n-gram feature extraction method in ensemble classification of fake news. - Pawel Ksieniewicz; Pawel Zyblewski; Weronika Borek-Marciniec; Rafal Kozik; Michal Choras; Michal Wozniak 001 (Eng. Appl. Artif. Intell., 2023)

Active Weighted Aging Ensemble for drifted data stream classification. - Michal Wozniak 001; Pawel Zyblewski; Pawel Ksieniewicz (Inf. Sci., 2023)

Cross-Modality Clustering-based Self-Labeling for Multimodal Data Classification. - Pawel Zyblewski; Leandro L. Minku (ICDM (Workshops), 2024)

Employing Two-Dimensional Word Embedding for Difficult Tabular Data Stream Classification. - Pawel Zyblewski (ECML/PKDD (8), 2024)

WarCov - Large multilabel and multimodal dataset from social platform. - Weronika Borek-Marciniec; Pawel Zyblewski; Jakub Klikowski; Pawel Ksieniewicz (CoRR, 2024)

Employing Sentence Space Embedding for Classification of Data Stream from Fake News Domain. - Pawel Zyblewski; Jakub Klikowski; Weronika Borek-Marciniec; Pawel Ksieniewicz (CoRR, 2024)

Structuring the Processing Frameworks for Data Stream Evaluation and Application. - Joanna Komorniczak; Pawel Ksieniewicz; Pawel Zyblewski (CoRR, 2024)

How to RETIRE Tabular Data in Favor of Discrete Digital Signal Representation. - Pawel Zyblewski; Szymon Wojciechowski (CoRR, 2025)