Przemysław Śliwiński, DSc, PhD, Eng
E-mail: przemyslaw.sliwinski@pwr.edu.pl
Unit: Faculty of Information and Communication Technology (N) » Department of Control Systems and Mechatronics
ul. Z. Janiszewskiego 11/17, 50-372 Wrocław
building C-3, room 213
phone +48 71 320 3357
Office hours
- Monday 17.00-19.00
- Thursday 13.00-15.00
Research fields
- Image processing (object detection, 3D mapping, autofocusing algorithms); Autistic behavior modeling (stochastic modeling, emotion detection, augmented reality applications); Nonlinear system identification (nonparametric algorithms, computational methods).
Recent papers
2018
- Śliwiński P., Wachel P., Lagosz Sz., Nonlinearity recovery by standard and aggregative orthogonal series algorithms, Applied Stochastic Models in Business and Industry, to appear, vol. 34, No. 1, pp. 1-8, 2018.
2017
- Śliwiński P., Marconato A., Wachel P., Birpoutsoukis G., Nonlinear system modeling based on constrained Volterra series estimates, IET Control Theory & Applications, vol. 11, No. 15, pp. 2623-2629, 2017.
2015
- Wachel P., Śliwiński P., Aggregative Modeling of Nonlinear Systems, IEEE Signal Processing Letters, vol. 22, No. 9, pp. 1482-1486, 2015.
- Śliwiński P., Wachel P., Hasiewicz Z., On Hammerstein system nonlinearity identification algorithms based on order statistics and compactly supported functions, in: Stochastic Models, Statistics and Their Applications, Springer Proceedings in Mathematics & Statistics, vol. 122, pp. 453-460, February 2015.
- Śliwiński P., Wachel P., Hasiewicz Z., Nonparametric identification of MISO Hammerstein system from structured data, Journal of Systems Science and Systems Engineering, vol. 24, No. 1, 2015.
Papers in DONA database
Selected publications |
1 | Proceeding paper 2023
Training environment for rare events learning a feasibility study. W: Reliability and statistics in transportation and communication : selected papers from the 22nd International Multidisciplinary Conference on Reliability and Statistics in Transportation and Communication: Artificial Intelligence in Transportation, RelStat-2022, October 20–21, 2022, Riga, Latvia / eds. Igor Kabashkin, Irina Yatskiv, Olegas Prentkovskis. Cham : Springer, cop. 2023. s. 285-292. ISBN: 978-3-031-26654-6; 978-3-031-26655-3 | Resources:DOI | |
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2 | Article 2023
A dual averaging algorithm for on-line modelling of infinite memory nonlinear systems. IEEE Transactions on Automatic Control. 2023, vol. 68, nr 9, s. 5677-5684. ISSN: 0018-9286; 1558-2523 | Resources:DOIURLSFX |    |
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3 | Monograph chapter 2022
Performance analysis of intelligent agents in complex event processing systems. W: Safety and reliability of systems and processes. Summer safety and reliability seminar 2022 / eds. Kołowrocki Krzysztof [i in.]. Gdynia : Gdynia Maritime University, 2022. s. 195-204. ISBN: 978-83-7421-421-6; 978-83-7421-422-3 | Resources:DOIURL |  |
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4 | Proceeding paper 2021
Mimicking learning for 1-NN classifiers. W: Computational Science - ICCS 2021 : 21st International Conference Krakow, Poland, June 16-18, 2021 : proceedings. Pt. 3 / eds. Maciej Paszynski [i in.]. Cham : Springer, cop. 2021. s. 75-80. ISBN: 978-3-030-77966-5; 978-3-030-77967-2 | Resources:DOIURLSFX | |
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5 | Article 2021
Identification of Wiener–Hammerstein systems by ℓ1–constrained Volterra series. European Journal of Control. 2021, vol. 58, s. 53-59. ISSN: 0947-3580; 1435-5671 | Resources:DOISFX |    |
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6 | Proceeding paper 2020
Intelligent inference agent for safety systems events. W: Theory and Applications of Dependable Computer Systems : proceedings of the Fifteenth International Conference on Dependability of Computer Systems DepCoS-RELCOMEX, June 29 - July 3, 2020, Brunów, Poland / eds. Wojciech Zamojski [i in.]. Cham : Springer, cop. 2020. s. 441-450. ISBN: 978-3-030-48255-8; 978-3-030-48256-5 | Resources:DOIURLSFX | |
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7 | Proceeding paper 2020
Intelligent agent for weather parameters prediction. W: Engineering in dependability of computer systems and networks : proceedings of the Fourteenth International Conference on Dependability of Computer Systems DepCoS-RELCOMEX, July 1-5, 2019, Brunów, Poland / eds. Wojciech Zamojski [i in.]. Cham : Springer, cop. 2020. s. 331-340. ISBN: 978-3-030-19500-7; 978-3-030-19501-4 | Resources:DOISFX | |
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8 | Monograph chapter 2019
Stochastic framework for contrast-detection autofocusing. W: Stochastic models, statistics and their applications : Dresden, Germany, March 2019 / Ansgar Steland, Ewaryst Rafajłowicz, Ostap Okhrin (Eds.). Switzerland : Springer, cop. 2019. s. 385-392. ISBN: 978-3-030-28664-4; 978-3-030-28665-1 | Resources:DOIURLSFX | |
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9 | Proceeding paper 2019
Performance evaluation of event-driven software applied in monitoring systems. W: Reliability and statistics in transportation and communication : selected papers from the 18th International Conference on Reliability and Statistics in Transportation and Communication, RelStat’18, 17–20 October 2018, Riga, Latvia / eds. Igor Kabashkin, Irina Yatskiv (Jackiva), Olegas Prentkovskis. Cham : Springer, 2019. s. 311-319. ISBN: 978-3-030-12449-6 | Resources:DOISFX | |
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10 | Proceeding paper 2019
Off-the-shelf convolution neural networks low-light object detection comparison. W: Reliability and statistics in transportation and communication : selected papers from the 18th International Conference on Reliability and Statistics in Transportation and Communication, RelStat’18, 17–20 October 2018, Riga, Latvia / eds. Igor Kabashkin, Irina Yatskiv (Jackiva), Olegas Prentkovskis. Cham : Springer, 2019. s. 302-310. ISBN: 978-3-030-12449-6 | Resources:DOISFX | |
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All publications