Fields of interest

• machine learning,
• data stream mining,
• data stream classification, concept drift,
• ensemble learning, classifier ensemble
• inductive learning, data and web mining,
• learning on distributed and streaming data
• pattern classification,
• imabalanced data classification,
• pattern recognition with context
• telemedicine and medical decision support

Google Scholar profile
ORCID
ResearchGate profile
ResearchID profile
List of publication in DONA database - maintained by my University

New publications

1. Bartosz Krawczyk, Isaac Triguero Salvador García, Michał Woźniak, Francisco Herrera, Instance reduction for one-class classification, Knowledge and Information Systems
2. Bartosz Krawczyk, Mikel Galar, Michał Woźniak, Humberto Bustince, Francisco Herrera, Dynamic Ensemble Selection for Multi-Class Classification with One-Class Classifiers, Pattern Recognition 83 (2018) 34–51.
3. Paweł Ksieniewicz, Michał Woźniak, Bogusław Cyganek, Andrzej Kasprzak, Krzysztof Walkowiak, Data Stream Classification using Active Learned Neural Networks, Neurocomputing
4. Michał Koziarski, Bartosz Krawczyk, Michał Wożniak, Radial-Based Oversampling for Noisy Imbalanced Data Classification, Neurocomputing
5. Bartosz Krawczyk, Michał Koziarski, Michał Woźniak, Radial-Based Oversampling for Multi-Class Imbalanced Data Classification, IEEE Transactions on Neural Networks and Learning Systems
6. José-Ramón Cano, Pedro Antonio Gutiérrez, Bartosz Krawczyk, Michał Woźniak, Salvador García, Monotonic classification: an overview on algorithms, performance measures and data sets, Neurocomputing (ACCEPTED) see manuscript on arXiv https://arxiv.org/abs/1811.07155

MSc thesis topics

1. Fake news detection.
2. Video/image manipulation discovery.
3. Explainable AI/ML.
4. Data stream classification.
5. Imabalanced data learning.