Email: pawel.trajdos@pwr.edu.pl

Jednostka: Wydział Informatyki i Telekomunikacji » Katedra Systemów i Sieci Komputerowych

ul. Z. Janiszewskiego 7, Wrocław
bud. C-16, pok. P.2.4                                       
tel. 71 340 7806

Konsultacje.

Zainteresowania naukowe

• Uczenie maszynowe; sztuczna inteligencja; klasyfikacja wieloetykietowa; bioinformatyka; przetwarzanie biosygnałów; telemedycyna.  

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Najważniejsze publikacje z ostatnich lat

2018

• Trajdos P. and Kurzynski M., Weighting Scheme for a Pairwise Multi-label Classifier Based on the Fuzzy Confusion Matrix. In: Pattern Recognit. Lett. (Jan. 2018). ISSN: 0167-8655. DOI: 10.1016/j.patrec.2018.01.012

2017

• Trajdos P. and Kurzynski M., A Correction Method of a Binary Classifier Applied to Multi-label Pairwise Models. In: Int. J. Neur. Syst. (Dec. 2017). ISSN: 0129-0657, 1793-6462. DOI: 10.1142/s0129065717500629
• Trajdos P. and Kurzynski M., An approximated decision-theoretic algorithm for minimization of the Tversky loss under the multi-label framework. In: Pattern Anal Applic (Sept. 2017). ISSN: 1433-7541, 1433-755X. DOI: 10.1007/s10044-017-0651-6
• Trajdos P. and Kurzynski M., Naive Bayes Classifier for Dynamic Chaining approach in Multi-label Learning. In: International Journal of Education and Learning Systems 2 (2017), pp. 133-142.
• Trajdos P. and Kurzynski M., Permutation-Based Diversity Measure for Classifier-Chain Approach. In: Advances in Intelligent Systems and Computing. Ed. by Marek Kurzynski, Michal Wozniak, and Robert Burduk. Springer International Publishing, May 2017, pp. 412-422. DOI: 10.1007/978-3-319-59162-9_43

2016

• Trajdos P. and Kurzynski M., A dynamic model of classifier competence based on the local fuzzy confusion matrix and the random reference classifier. In: International Journal of Applied Mathematics and Computer Science 26.1 (Jan. 2016). ISSN: 2083-8492. DOI: 10.1515/amcs-2016-0012
• Trajdos P. et al., Multiclassifier system with hybrid learning applied to the control of bioprosthetic hand. In: Computers in Biology and Medicine 69 (Feb. 2016), pp. 286-297. DOI: 10.1016/j.compbiomed.2015.04.023

2015

• Trajdos P. and Kurzynski M., An Extension of Multi-label Binary Relevance Models Based on Random-ized Reference Classifier and Local Fuzzy Confusion Matrix. In: Intelligent Data Engineering and Automated Learning - IDEAL 2015. Ed. by Konrad Jackowski et al. Wroclaw, Poland: Springer Science + Business Media, 2015, pp. 69-76. DOI: 10.1007/978-3-319-24834-9_9
• Trajdos P. and Kurzynski M., Multi-label Stream Classification Using Extended Binary Relevance Model. In: 2015 IEEE Trustcom/BigDataSE/ISPA. Helsinki, Finland: Institute of Electrical & Electronics Engineers (IEEE), Aug. 2015, pp. 205-210. ISBN: 9781467379526. DOI: 10.1109/trustcom.2015.584

Publikacje w bazie DONA

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Wybrane publikacje
1	Referat konferencyjny 2025 Paweł S Trajdos, Marek Kurzyński, Cascade of one-class classifier ensemble and dynamic naive Bayes classifier applied to the myoelectric-based upper limb prosthesis control with contaminated channels 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. 30-42. ISBN: 978-3-032-01772-7; 978-3-032-01773-4 Zasoby:DOIURLSFX
2	Redakcja materiałów konferencyjnych 2025 Paweł S Trajdos, Robert Burduk, Progress in Pattern Classification and Machine Learning : Proceedings of the 14th International Conference on Computer Recognition Systems 2025. Cham: Springer Nature Switzerland AG, cop. 2025. X, 113 s. ISBN: 978-3-032-01772-7; 978-3-032-01773-4 (Lecture Notes in Networks and Systems); vol. 1557) Zasoby:DOIURL
3	Artykuł 2025 Paweł S Trajdos, A noise-tolerant dual multi-classifier system with fuzzy model applied to the sEMG-based control of a bionic upper limb prosthesis. Biomedical Signal Processing and Control. 2025, vol. 104, art. 107441, s. 1-19. ISSN: 1746-8094; 1746-8108 Zasoby:DOIURLSFX
4	Referat konferencyjny 2024 Paweł S Trajdos, Marek Kurzyński, A dual ensemble classifier used to recognise contaminated multi-channel EMG and MMG signals in the control of upper limb bioprosthesis. W: Classifier Learning from Difficult Data, 19-20 October 2024, Santiago de Compostella, Spain / eds. Paweł Zyblewski [i in.]. [Cambridge, MA : JMLR], 2024. s. 1-20. Zasoby:URLSFX
5	Artykuł 2024 Paweł S Trajdos, Robert Burduk, Ensemble of classifiers based on score function defined by clusters and decision boundary of linear base learners. Knowledge-Based Systems. 2024, vol. 303, art. 112411, s. 1-15. ISSN: 0950-7051; 1872-7409 Zasoby:DOISFX
6	Artykuł 2024 Paweł S Trajdos, Marek Kurzyński, Application of context-dependent interpretation of biosignals recognition to control a bionic multifunctional hand prosthesis. Biocybernetics and Biomedical Engineering. 2024, vol. 44, nr 1, s. 161-182. ISSN: 0208-5216; 2391-467X Zasoby:DOIURLSFX
7	Referat konferencyjny 2023 Paweł S Trajdos, Marek Kurzyński, Dynamic time warping technique applied to the user’s intent recognition for myoelectric-based control of upper limb prosthesis. 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. 219-231. ISBN: 978-3-031-41629-3; 978-3-031-41630-9 Zasoby:DOIURLSFX
8	Redakcja materiałów konferencyjnych 2023 Robert Burduk, Michał Choraś, Rafał Kozik, Paweł Ksieniewicz, Tomasz Marciniak, Paweł S Trajdos, Progress on Pattern Classification, Image Processing and Communications : Proceedings of the CORES and IP&C Conferences 2023. Cham: Springer, cop. 2023. XI, 246 s. ISBN: 978-3-031-41629-3; 978-3-031-41630-9 (Lecture Notes in Networks and Systems); vol. 766) Zasoby:DOI
9	Referat konferencyjny 2023 Paweł S Trajdos, Robert Burduk, Andrzej A Kasprzak, Combining linear classifiers using score function based on distance to decision boundary. W: Artificial Intelligence and Soft Computing : 22nd International Conference, ICAISC 2023, Zakopane, June 18-22, 2023 : proceedings. Pt. 2 / eds. Leszek Rutkowski [i in.]. Cham : Springer, cop. 2023. s. 402-411. ISBN: 978-3-031-42507-3; 978-3-031-42508-0 Zasoby:DOIURLSFX
10	Rozdział w monografii 2022 Michał J Błędowski, Andrzej Wołczowski, Marek Kurzyński, Paweł S Trajdos, Jerzy Witkowski, System kontekstowego rozpoznawania biosygnałów = System of contextual recognition of biosignals. W: Postępy robotyki. T. 1 / pod red. Alicji Mazur i Cezarego Zielińskiego. Warszawa : Oficyna Wydawnicza Politechniki Warszawskiej, 2022. s. 115-124. ISBN: 978-83-8156-410-6 Zasoby:SFX

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