| Wybrane publikacje |
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| 1 | Artykuł 2026
Joanna Komorniczak, Paweł Ksieniewicz, Paweł Zyblewski,| Structuring the processing frameworks for data stream evaluation and application. Pattern Recognition. 2026, vol. 172, Part B, art. 112516, s. 1-12. ISSN: 0031-3203; 1873-5142 | | Zasoby:DOIURLSFX |     |
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| 2 | Referat konferencyjny 2026
Paweł Zyblewski, Szymon T Wojciechowski,| How to RETIRE tabular data in favor of discrete digital signal representation. W: Machine Learning and Knowledge Discovery in Databases : Research Track : European Conference, ECML PKDD 2025 Porto, Portugal, September 15-19, 2025, Proceedings, Part II / eds. Rita P. Ribeiro [i in.]. Cham : Springer Nature Switzerland AG, cop. 2026. s. 119-135. ISBN: 978-3-032-05980-2; 978-3-032-05981-9 | | Zasoby:DOIURLSFX | |
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| 3 | Referat konferencyjny 2025
Andrzej Dorochowicz, Dariusz Jankowski, Paweł Ksieniewicz, Katarzyna A Topolska, Mariusz Topolski, Paweł Zyblewski,| A prototype of an AI-driven operational security system for FinTechs: a faaS-based approach to fraud detection. 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. 103-112. ISBN: 978-3-032-01772-7; 978-3-032-01773-4 | | Zasoby:DOIURLSFX | |
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| 4 | Referat konferencyjny 2024
Paweł Zyblewski, Leandro L Minku,| Cross-Modality Clustering-based Self-Labeling for multimodal data classification. 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. 246-253. ISBN: 979-8-3315-3063-1; 979-8-3315-3064-8 | | Zasoby:DOIURL | |
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| 5 | Redakcja materiałów konferencyjnych 2024
Paweł Zyblewski, Manuel Graña, Paweł Ksieniewicz, Leandro L Minku,Classifier Learning from Difficult Data, 19-20 October 2024, Santiago de Compostella, Spain. [Cambridge, MA]: [JMLR], 2024. xxx s.
(Proceedings of Machine Learning Research, ISSN 2640-3498; vol. 263) | | Zasoby:URL | |
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| 6 | Referat konferencyjny 2024
Paweł Zyblewski,| Employing two-dimensional word embedding for difficult tabular data stream classification. W: Machine Learning and Knowledge Discovery in Databases : Research Track and Demo Track : European Conference, ECML PKDD 2024, Vilnius, Lithuania, September 9–13, 2024, Proceedings, Part VIII / eds. Albert Bifet [i in.]. Cham : Springer, cop. 2024. s. 73-89. ISBN: 978-3-031-70370-6; 978-3-031-70371-3 | | Zasoby:DOIURLSFX | |
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| 7 | Rozdział w monografii 2024
Robert H Orłowski, Anna Burduk, Paweł Zyblewski,| Machine learning model for predicting production process capability in packaging process. W: Innovations in Mechatronics Engineering III / eds. Jose Machado [i in.]. Cham : Springer, cop. 2024. s. 264-275. ISBN: 978-3-031-61574-0; 978-3-031-61575-7 | | Zasoby:DOIURL | |
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| 8 | Referat konferencyjny 2023
Paweł Niedziółka, Paweł Zyblewski,| A non-deep approach to classifying movie genres based on multimodal data. W: Progress on Pattern Classification, Image Processing and Communications : Proceedings of the CORES and IP&C Conferences 2023 / eds. Robert Burduk [i in.]. Cham : Springer, cop. 2023. s. 23-33. ISBN: 978-3-031-41629-3; 978-3-031-41630-9 | | Zasoby:DOIURLSFX | |
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| 9 | Artykuł 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 | | Zasoby:DOIURLSFX | |
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| 10 | Artykuł 2023
Paweł Ksieniewicz, Paweł Zyblewski, Weronika A 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 | | Zasoby:DOIURLSFX | |
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