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| 258309 | 105014462753 |
Krzysztof Fonał
Yul2Vec: Yul Code Embeddings. Applied Sciences 2025 vol. 15, nr 16, art. 8915, s. 1-24.
| 2025 | |
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| 234596 | |
Krzysztof Fonał
Algorytmy dekompozycji tensorów w przetwarzaniu danych masywnych. Raporty Wydziału Elektroniki Fotoniki i Mikrosystemów Politechniki Wrocławskiej. 2022, Ser. PRE; nr 1. 167 s.
| 2022 | |
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3
| 234344 | 85122501605 |
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.
| 2022 | |
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4
| 230643 | 85103692082 |
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.
| 2021 | |
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5
| 227582 | 85086991717 |
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.
| 2020 | |
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6
| 222184 | 85069972424 |
Krzysztof Fonał, Rafał Zdunek
Fast recursive nonnegative standard and hierarchical Tucker decomposition. IEEE Signal Processing Letters 2019 vol. 26, nr 9, s. 1265-1269.
| 2019 | |
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7
| 222087 | 85071867724 |
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.
| 2019 | |
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| 221971 | 85071890668 |
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.
| 2019 | |
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| 221862 | 85067582949 |
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.
| 2019 | |
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| 220170 | 85057015656 |
| 2019 | |
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