| Selected publications |
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| 1 | Artykuł 2025
Krzysztof Fonał,| Yul2Vec: Yul Code Embeddings. Applied Sciences. 2025, vol. 15, nr 16, art. 8915, s. 1-24. ISSN: 2076-3417 | | Zasoby:DOIURLSFX |     |
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| 2 | Artykuł 2022
Rafał Zdunek, Krzysztof Fonał,| Incremental nonnegative Tucker decomposition with block-coordinate descent and recursive approaches. Symmetry-Basel. 2022, vol. 14, nr 1, art. 113, s. 1-19. ISSN: 2073-8994 | | Zasoby:DOIURLSFX | |
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| 3 | Artykuł 2021
Krzysztof Fonał, Rafał Zdunek,| Fast hierarchical tucker decomposition with single-mode preservation and tensor subspace analysis for feature extraction from augmented multimodal data. Neurocomputing. 2021, vol. 445, s. 231-243. ISSN: 0925-2312; 1872-8286 | | Zasoby:DOIURLSFX | |
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| 4 | Referat konferencyjny 2020
Rafał Zdunek, Krzysztof Fonał,| Trust-region strategy with Cauchy point for nonnegative tensor factorization with beta-divergence. W: Intelligent Decision Technologies : proceedings of the 12th KES International Conference on Intelligent Decision Technologies (KES-IDT 2020), [Virtual Conference], June 17-19, 2020 / eds. Ireneusz Czarnowski, Robert J. Howlett, Lakhmi C. Jain. Singapore : Springer, cop. 2020. s. 315-325. ISBN: 978-981-15-5924-2; 978-981-15-5925-9 | | Zasoby:DOISFX | |
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| 5 | Artykuł 2019
Krzysztof Fonał, Rafał Zdunek,| Fast recursive nonnegative standard and hierarchical Tucker decomposition. IEEE Signal Processing Letters. 2019, vol. 26, nr 9, s. 1265-1269. ISSN: 1070-9908; 1558-2361 | | Zasoby:DOISFX | |
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| 6 | Referat konferencyjny 2019
Krzysztof Fonał, Rafał Zdunek,| Distributed and randomized tensor train decomposition for feature extraction. W: IJCNN 2019 : The International Joint Conference on Neural Networks, 14-19 July 2019, Budapest, Hungary. [Piscataway, NJ : IEEE, cop. 2019]. s. 1-8. ISBN: 978-1-7281-2009-6 | | Zasoby:DOIURL | |
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| 7 | Referat konferencyjny 2019
Rafał Zdunek, Krzysztof Fonał,| Nonnegatively constrained tensor network for classification problems. W: 11th International Conference on Ubiquitous and Future Networks (ICUFN 2019) : July 2 - July 5, 2019, Zagreb, Croatia. [Piscataway, NJ] : IEEE, cop. 2019. s. 218-223. ISBN: 978-1-7281-1339-5 | | Zasoby:DOIURL | |
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| 8 | Referat konferencyjny 2019
Rafał Zdunek, Krzysztof Fonał, Tomasz Sadowski,| Image completion with filtered low-rank tensor train approximations. W: Advances in Computational Intelligence : 15th International Work-Conference on Artificial Neural Networks, IWANN 2019, Gran Canaria, Spain, June 12-14, 2019 : proceedings. Pt. 2 / eds. Ignacio Rojas, Gonzali Joya, Andreu Catalia. Cham : Springer, cop. 2019. s. 235-245. ISBN: 978-3-030-20517-1 | | Zasoby:DOISFX | |
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| 9 | Artykuł 2019
Rafał Zdunek, Krzysztof Fonał, Andrzej Wołczowski,| Linked CP tensor decomposition algorithms for shared and individual feature extraction. Signal Processing : Image Communication. 2019, vol. 73, s. 37-52. ISSN: 0923-5965 | | Zasoby:DOISFX | |
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| 10 | Rozdział w monografii 2018
Martin Tabakow, Krzysztof Fonał, Raed A Abd-Alhameed, Rami Qahwaji,| Bionic hand control in real-time based on electromyography signal analysis. W: Transaction on Computational Collective Intelligence XXIX / Ngoc Thanh Nguyen, Ryszard Kowalczyk (Eds.). Cham : Springer, cop. 2018. s. 21-38. ISBN: 978-3-319-90286-9 | | Zasoby:DOISFX | |
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