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.

Papers in DONA database

Selected publications
1	Artykuł 2026 Amgad M Mohammed, Enrique Onieva, Michał Woźniak Employing Bayesian optimization for hyperparameter tuning in convolutional neural networks. Journal of Applied Logics. The IfCoLog Journal of Logics and their Applications. 2026, vol. 13, nr 1, s. 53-72. ISSN: 2631-9810; 2631-9829 Zasoby:URLSFX
2	Artykuł 2026 Xiang Cheng, Xin Jin, Qian Jiang, Michał Woźniak Yunhao Meng, Ping Wei, Wei Zhou, Thermal infrared image colorization based on pre-trained stable diffusion and its shadow network with attention mechanism. Engineering Research Express. 2026, vol. 8, nr 4, art. 045218, s. 1-13. ISSN: 2631-8695 Zasoby:DOIURLSFX
3	Artykuł 2026 Amgad M Mohammed, Enrique Onieva, Michał Woźniak Dynamic self-paced ensemble for imbalance-aware learning. Pattern Analysis and Applications. 2026, vol. 29, art. 67, s. 1-18. ISSN: 1433-7541; 1433-755X Zasoby:DOIURLSFX
4	Artykuł 2026 Alif Ashrafee, Jędrzej Z Kozal Michał Woźniak Bartosz Krawczyk Holistic continual learning under concept drift with adaptive memory realignment. Transactions on Machine Learning Research. 2026, vol. 1, s. 1-30. ISSN: 2835-8856 Zasoby:URLSFX
5	Artykuł 2025 Anna P Maino, Jakub Klikowski Brendan Strong, Wahid Ghaffari, Michał Woźniak Tristan Bourcier, Andrzej Grzybowski, Artificial intelligence vs. human cognition: a comparative analysis of ChatGPT and candidates sitting the European Board of Ophthalmology Diploma examination. Vision. 2025, vol. 9, nr 2, art. 31, s. 1-12. ISSN: 2411-5150 Zasoby:DOIURLSFX
6	Artykuł 2025 Guoliang Yao, Xin Jin, Qian Jiang, Michał Woźniak Shengfa Miao, Shaowen Yao, Wei Zhou, DS-GAN: a dual sub-structure GAN for thermal infrared image colorization using U-Net with ConvNeXt and multi-scale large kernel attention. The Visual Computer. 2025, vol. 41, s. 12441–12459. ISSN: 0178-2789; 1432-2315 Zasoby:DOIURLSFX
7	Rozdział w monografii 2025 Michał Woźniak Andrzej Grzybowski, Threats to the validity of the predictive system performance for ophthalmology. W: Artificial Intelligence in Ophthalmology. Second Edition / ed. Andrzej Grzybowski. Cham : Springer Nature Switzerland AG, cop. 2025. s. 93-101. ISBN: 978-3-031-83755-5; 978-3-031-83756-2 Zasoby:DOIURL
8	Artykuł 2025 Xin Jin, Pengcheng Zhu, Dongjian Yu, Michał Woźniak Qian Jiang, Puming Wang, Wei Zhou, Combining depth and frequency features with Mamba for multi-focus image fusion. Information Fusion. 2025, vol. 124, art. 103355, s. 1-16. ISSN: 1566-2535; 1872-6305 Zasoby:DOIURLSFX
9	Artykuł 2025 Huangqimei Zheng, Chengyi Pan, Xin Jin, Michał Woźniak Puming Wang, Shin-Jye Lee, Qian Jiang, A pan-sharpening model using Dual-Branch Attention-Guided Diffusion Networks. Information Fusion. 2025, vol. 120, art. 103076, s. 1-13. ISSN: 1566-2535; 1872-6305 Zasoby:DOIURLSFX
10	Artykuł 2025 Qian Jiang, Qianqian Wang, Shengfa Miao, Xin Jin, Shin-Jye Lee, Michał Woźniak Shaowen Yao, SR_ColorNet: Multi-path attention aggregated and mask enhanced network for the super resolution and colorization of panchromatic image. Expert Systems with Applications. 2025, vol. 276, art. 127091, s. 1-16. ISSN: 0957-4174; 1873-6793 Zasoby:DOIURLSFX
11	Artykuł 2025 Michał Panek Ireneusz Jabłoński Michał Woźniak Automatic performance assessment - step toward autonomous mobile network management systems. IEEE Communications Magazine. 2025, vol. 63, nr 4, s. 73-79. ISSN: 0163-6804; 1558-1896 Zasoby:DOIURLSFX
12	Artykuł 2025 Hanxian Duan, Qian Jiang, Xin Jin, Michał Woźniak Yi Zhao, Liwen Wu, Shaowen Yao, Wei Zhou, Mf-net: multi-feature fusion network based on two-stream extraction and multi-scale enhancement for face forgery detection. Complex & Intelligent Systems. 2025, vol. 11, art. 11, s. 1-15. ISSN: 2199-4536; 2198-6053 Zasoby:DOIURLSFX
13	Artykuł 2025 Joanna A Klikowska Michał Woźniak Using multi-objective optimization to build non-random forest. Logic Journal of the IGPL. 2025, vol. 33, nr 4. s. 1-14. ISSN: 1367-0751; 1368-9894 Zasoby:DOIURLSFX
14	Artykuł 2025 Guorui Wang, Qian Jiang, Xin Jin, Puming Wang, Michał Woźniak Shaowen Yao, RTM-UAVDet: a real-time multimodal UAV detector. IEEE Transactions on Aerospace and Electronic Systems. 2025, vol. 61, nr 1, s. 473-489. ISSN: 0018-9251; 1557-9603 Zasoby:DOIURLSFX
15	Referat konferencyjny 2025 Mariusz Topolski Katarzyna A Topolska Jan Wasilewski, Michał Woźniak Analysis of selected deep active learning algorithms. W: Progress in Pattern Classification and Machine Learning : Proceedings of the 14th International Conference on Computer Recognition Systems 2025 / eds. Paweł Trajdos, Robert Burduk. Cham : Springer Nature Switzerland AG, cop. 2025. s. 93-102. ISBN: 978-3-032-01772-7; 978-3-032-01773-4 Zasoby:DOIURLSFX

All employee publications