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Paweł Ksieniewicz, DSc, PhD, Eng
Email: pawel.ksieniewicz@pwr.edu.pl
Unit: Faculty of Information and Communication Technology (N) » Department of Systems and Computer Networks
ul. Z. Janiszewskiego 7, 50-372 Wrocław
building C-16, room P.2.9
phone +48 71 340 7805
Office hours
- Tuesday 13.00-15.00
- Thursday 13.00-15.00
Research fields
- Machine learning; hyperspectral image classification; data streams; classifier ensembles; exposers.
Recent papers
2018
- Ksieniewicz P., Krawczyk B. and Wozniak M., Ensemble of extreme learning machines with trained classifier combination and statistical features for hyperspectral data. Neurocomputing 271 (2018).
2016
- Wozniak M., Cyganek B., Kasprzak A.A., Ksieniewicz P. and Walkowiak K., Active learning clasiffier for streaming data. In Hybrid artificial intelligent systems: 11th International Conference, HAIS 2016, Seville, Spain, April 18-20, 2016: proceed- ings / Francisco Martinez-Alvarez [i in.] (eds.).[Cham]: Springer, cop. 2016., 9 (2016), Lecture Notes in Computer Science, pp. 186-197.
- Ksieniewicz P., Krawczyk B. and Wozniak M., Ensemble of one-dimensional classifiers for hyperspectral image analysis. In Data Mining and Big Data: First International Conference, DMBD 2016, Bali, Indonesia, June 25-30, 2016: proceedings / Ying Tan, Yuhui Shi (eds.).[Cham]: Springer, cop. 2016., 6 (2016), Lecture Notes in Computer Science, pp. 513-520.
2015
- Ksieniewicz P., Grana M. and Wozniak M., Blurred labeling segmentation algorithm for hyperspectral images. In Computational Collective Intelligence: 7th International Conference, ICCCI 2015, Madrid, Spain, September 21-23, 2015: proceedings. Pt. 2 / Manuel Nunez [i in.] (eds.).Cham [i in.]: Springer, cop. 2015, 7 (2015), Lecture Notes in Computer Science, pp. 578-587.
- Ksieniewicz P., Jankowski D., Ayerdi B., Jackowski K., Grana M. and Wozniak M., A novel hyperspectral segmentation algorithm - concept and evaluation. Logic Journal of the IGPL 23, 1 (2015).
2014
- Krawczyk B., Ksieniewicz P. and Wozniak M., Hyperspectral image analysis based on color channels and ensemble classifier. In Hybrid artificial intelligence systems: 9th international conference, HAIS 2014, Salamanca, Spain, June 11-13, 2014: proceedings / Marios Polycarpou [i in.] (eds.).Cham [i in.]: Springer, cop. 2014., 8 (2014), Lecture Notes in Computer Science, pp. 274-284.
- Krawczyk B., Ksieniewicz P. and Wozniak M., Hyperspectral image analysis based on quad tree decomposition. In International Joint Conference SOCO’14-CISIS’14- ICEUTE’14, Bilbao, Spain, June 25th-27th, 2014: proceedings / Jose Gaviria de la Puerta [i in.] (Eds.).Cham [i in.]: Springer, cop. 2014., 6 (2014), Advances in Intelligent Systems and Computing, pp. 105-113.