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

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Research fields

• Machine learning; hyperspectral image classification; data streams; classifier ensembles; exposers.

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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.

Papers in DONA database

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1	Article 2023 Michał Woźniak, Paweł Zyblewski, Paweł Ksieniewicz, Active weighted aging ensemble for drifted data stream classification. Information Sciences. 2023, vol. 630, s. 286-304. ISSN: 0020-0255; 1872-6291 Resources:DOIURLSFX
2	Article 2023 Paweł Ksieniewicz, Paweł Zyblewski, Weronika Borek-Marciniec, Rafał Kozik, Michał Choraś, Michał Woźniak, Alphabet Flatting as a variant of n-gram feature extraction method in ensemble classification of fake news. Engineering Applications of Artificial Intelligence. 2023, vol. 120, art. 105882, s. 1-11. ISSN: 0952-1976; 1873-6769 Resources:DOIURLSFX
3	Article 2023 Paweł Ksieniewicz, Joanna Komorniczak, problexity - an open-source Python library for supervised learning problem complexity assessment. Neurocomputing. 2023, vol. 521, s. 126-136. ISSN: 0925-2312; 1872-8286 Resources:DOISFX
4	Proceeding paper 2022 Jędrzej Z Kozal, Michał Leś, Paweł Zyblewski, Paweł Ksieniewicz, Michał Woźniak, Feature integration strategies for multilingual fake news classification. W: 2022 IEEE International Conference on Big Data, Dec 17 - Dec 20, 2022, Osaka, Japan : proceedings / eds. Shusaku Tsumoto [i in.]. Danvers, MA : IEEE, cop. 2022. s. 5049-5058. ISBN: 978-1-6654-8046-8; 978-1-6654-8045-1 Resources:DOIURL
5	Proceeding paper 2022 Joanna Komorniczak, Paweł Ksieniewicz, Michał Woźniak, Data complexity and classification accuracy correlation in oversampling algorithms. W: Fourth International Workshop on Learning with Imbalanced Domains: Theory and Applications, 23 September 2022, ECML-PKDD, Grenoble, France / eds. Nuno Moniz [i in.]. [Cambridge, MA : JMLR], cop. 2022. s. 175-186. Resources:URLSFX
6	Proceeding paper 2022 Joanna Komorniczak, Paweł Ksieniewicz, Data stream generation through real concept’s interpolation. W: ESANN 2022 - proceedings : 30th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, Bruges, Belgium, October 05-07, 2022. [Louvain-la-Neuve, Belgique : Ciaco, 2022]. s. 475-480. ISBN: 978-2-87587-084-1 Resources:DOIURL
7	Proceeding paper 2022 Joanna Komorniczak, Paweł Zyblewski, Paweł Ksieniewicz, Imbalanced data stream classification assisted by prior probability estimation. W: 2022 International Joint Conference on Neural Networks (IJCNN), Padua, Italy, 18-23 July 2022 : conference proceedings. Danvers, MA : IEEE, cop. 2022. s. 1-8. ISBN: 978-1-6654-9526-4; 978-1-7281-8671-9 Resources:DOIURL
8	Article 2022 Joanna Komorniczak, Paweł Zyblewski, Paweł Ksieniewicz, Statistical Drift Detection Ensemble for batch processing of data streams. Knowledge-Based Systems. 2022, vol. 252, art. 109380, s. 1-18. ISSN: 0950-7051; 1872-7409 Resources:DOIURLSFX
9	Proceeding paper 2022 Weronika Borek-Marciniec, Paweł Ksieniewicz, Inductive parallel learning for multiple classification problems. W: 2022 International Joint Conference on Neural Networks (IJCNN), Padua, Italy, 18-23 July 2022 : conference proceedings. Danvers, MA : IEEE, cop. 2022. s. 1-8. ISBN: 978-1-6654-9526-4; 978-1-7281-8671-9 Resources:DOIURL
10	Article 2022 Paweł Ksieniewicz, Processing data stream with chunk-similarity model selection. Applied Intelligence. 2022, s. 1-26. ISSN: 0924-669X; 1573-7497 Resources:DOIURL