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Faculty of Electronics, Photonics and Microsystems

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dr inż. Mateusz Gabor

Email: mateusz.gabor@pwr.edu.pl
Structure: Faculty of Electronics, Photonics and Microsystems (N) » Department of Field Theory, Electronic Circuits and Optoelectronics

Wizytówka pracownika

Selected publications
1
Artykuł
2026
Mateusz O Gabor Rafał Zdunek
Reduced storage direct tensor ring decomposition for convolutional neural networks compression. Neural Networks. 2026, vol. 193, art. 107994, s. 1-15. ISSN: 0893-6080; 1879-2782
Zasoby:DOISFXImpact FactorLista FiladelfijskaLista MNiSWOpen Access
2
Referat konferencyjny
2024
Mateusz O Gabor Tomasz J Piotrowski,
Positive concave deep equilibrium models. W: Proceedings of the 41st International Conference on Machine Learning, ICML 2024, 21-27 July 2024, Vienna, Austria / eds. Ruslan Salakhutdinov [i in.]. [Cambridge, MA : JMLR], 2024. s. 14365-14381.
Zasoby:URLSFXOpen Access
3
Artykuł
2024
Tomasz J Piotrowski, Mateusz O Gabor
Fixed points of nonnegative neural networks. Journal of Machine Learning Research. 2024, vol. 25, s. 1-40. ISSN: 1532-4435; 1533-7928
Zasoby:URLSFXImpact FactorLista FiladelfijskaLista MNiSWOpen Access
4
Artykuł
2024
Mateusz O Gabor Rafał Zdunek Radosław Zimroz Agnieszka Wyłomańska
Bearing damage detection with orthogonal and nonnegative low-rank feature extraction. IEEE Transactions on Industrial Informatics. 2024, vol. 20, nr 2, s. 2944-2955. ISSN: 1551-3203; 1941-0050
Zasoby:DOIURLSFXImpact FactorLista FiladelfijskaLista MNiSW
5
Referat konferencyjny
2023
Mateusz O Gabor Rafał Zdunek Radosław Zimroz Agnieszka Wyłomańska
Non-negative matrix underapproximation as optimal frequency band selector. W: IECON 2023- 49th Annual Conference of the IEEE Industrial Electronics Society. [Danvers, MA] : IEEE, 2023. s. 1-6. ISBN: 979-8-3503-3182-0; 979-8-3503-3183-7
Zasoby:DOIURL
6
Artykuł
2023
Mateusz O Gabor Rafał Zdunek Radosław Zimroz Jacek Wodecki Agnieszka Wyłomańska
Non-negative tensor factorization for vibration-based local damage detection. Mechanical Systems and Signal Processing. 2023, vol. 198, art. 110430, s. 1-17. ISSN: 0888-3270; 1096-1216
Zasoby:DOIURLSFXImpact FactorLista FiladelfijskaLista MNiSW
7
Artykuł
2023
Mateusz O Gabor Rafał Zdunek
Compressing convolutional neural networks with hierarchical Tucker-2 decomposition. Applied Soft Computing. 2023, vol. 132, art. 109856, s. 1-13. ISSN: 1568-4946; 1872-9681
Zasoby:DOIURLSFXImpact FactorLista FiladelfijskaLista MNiSW
8
Referat konferencyjny
2022
Rafał Zdunek Mateusz O Gabor
Nested compression of convolutional neural networks with Tucker-2 decomposition. 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
Zasoby:DOIURL
9
Referat konferencyjny
2022
Mateusz O Gabor Rafał Zdunek
Convolutional neural network compression via tensor-train decomposition on permuted weight tensor with automatic rank determination. W: Computational Science - ICCS 2022 : 22nd International Conference London, UK, June 21-23, 2022 : proceedings. Pt. 3 / eds. Derek Groen [i in.]. Cham : Springer, cop. 2022. s. 654-667. ISBN: 978-3-031-08756-1; 978-3-031-08757-8
Zasoby:DOIURLSFX
10
Artykuł
2021
Mateusz O Gabor Wojciech Wieczorek, Olgierd Unold
Split-based algorithm for weighted context-free grammar induction. Applied Sciences. 2021, vol. 11, nr 3, art. 1030, s. 1-13. ISSN: 2076-3417
Zasoby:DOISFXImpact FactorLista FiladelfijskaLista MNiSWOpen Access

All employee publications

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