Sign in

 

Faculty of Information and Communication Technology

Prof. Michał Woźniak, DSc, PhD, Eng

E-mail: michal.wozniak@pwr.edu.pl

Unit: Faculty of Information and Communication Technology (N) » Department of Systems and Computer Networks

Michał Woźniakul. 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
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, s. 1-19. ISSN: 0178-2789; 1432-2315
Zasoby:DOIURLImpact FactorLista FiladelfijskaLista MNiSW
2
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
3
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:DOIURLSFXImpact FactorLista FiladelfijskaLista MNiSW
4
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:DOIURLSFXImpact FactorLista FiladelfijskaLista MNiSW
5
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:DOIURLSFXImpact FactorLista FiladelfijskaLista MNiSW
6
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:DOIURLSFXImpact FactorLista FiladelfijskaLista MNiSWOpen Access
7
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:DOIURLSFXImpact FactorLista FiladelfijskaLista MNiSWOpen Access
8
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:DOIURLSFXImpact FactorLista FiladelfijskaLista MNiSW
9
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:DOIURLSFXImpact FactorLista FiladelfijskaLista MNiSW
10
Referat konferencyjny
2024
Weronika T Węgier, Maciej K Mączyński, Michał Woźniak,
Changing lineup classifier ensemble for drifting imbalanced data streams. W: 24th IEEE International Conference on Data Mining Workshops, ICDMW 2024, 9 December 2024, Abu Dhabi, United Arab Emirates : proceedings / eds. Yi He [i in.]. Piscataway, NJ : Institute of Electrical and Electronics Engineers, cop. 2024. s. 238-245. ISBN: 979-8-3315-3063-1; 979-8-3315-3064-8
Zasoby:DOIURL

All publications

Politechnika Wrocławska © 2025