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. Paweł Zyblewski, Robert Sambourin, Michał Woźniak, Preprocessed dynamic classifier ensemble selection for highly imbalanced drifted data streams - free access till end of October, Information Fusion, Volume 66, February 2021, Pages 138-154.
2. Bartosz Krawczyk, Michał Koziarski, Michał Woźniak, Radial-Based Oversampling for Multi-Class Imbalanced Data Classification, IEEE Transactions on Neural Networks and Learning Systems, vol. 31, no. 8, pp. 2818-2831, Aug. 2020, doi: 10.1109/TNNLS.2019.2913673.
3. Michał Koziarski, Michał Woźniak, Bartosz Krawczyk, Combined cleaning and resampling algorithm for multi-class imbalanced data with label noise, Knowledge-Based Systems, Volume 204, 27 September 2020, 106223.
4. Amgad M. Mohammed, Enrique Onieva, Michał Wozniak, Training set selection and swarm intelligence for enhanced integration inmultiple classifier systems - - free access till September 15, Applied Soft Computing, Volume 95, October 2020, 106568.

MSc thesis topics

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