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Prof. Michał Woźniak, DSc, PhD, Eng
Email: michal.wozniak@pwr.edu.pl
Unit: Faculty of Information and Communication Technology (N) » Department of Systems and Computer Networks
ul. Z. Janiszewskiego 11/17, 50-372 Wrocław
building C-3, room 114
phone +48 71 320 3539
Office hours
- Monday 11.00-13.00
- Wednesday 11.00-13.00
Research fields
- 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; imabalance data classification; classification with recognition with context; telemedicine and medical decision support.
Recent papers
2017
- Koziarski M., Woźniak M., CCR: A combined cleaning and resampling algorithm for imbalanced data classification, Int. J. Appl. Math. Comput. Sci., Vol. 27, No. 4, 727-736.
- Krawczyk B., Minku L., Gama J., Stefanowski J., Woźniak M., Ensemble learning for data stream analysis: A survey, Information Fusion, Vol. 37, pp. 132-156.
- Ksieniewicz P., Grana M., Woźniak M., Paired feature multilayer ensemble - concept and evaluation of a classifier, Journal of Inteligent and Fuzzy Systems, vol. 32, issue 2, pp. 1427-1436.
- Ramirez-Gallego S., Krawczyk B., Garcia S., Benitez M.J., Wozniak M., Herrera F., Nearest Neighbor Classification for High-Speed Big Data Streams Using Spark, IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS, vol. 46, issue 10, pp. 2727-2739.
2016
- Saez J.A., Krawczyk B., Woźniak M., Analyzing the oversampling of different classes and types of examples in multi-class imbalanced datasets, Pattern Recognition, vol. 57, pp. 164-178.