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Paweł Trajdos, PhD
Email: pawel.trajdos@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.2.4
phone +48 71 340 7806
Recent papers
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