| Wybrane publikacje |
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| 1 | Referat konferencyjny 2024
| A comparative analysis of Siamese Networks and Spectral Angle Mapper for mineral detection using hyperspectral imagery. W: IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium, 7-12 July, 2024 Athens, Greece : proceedings. [Danvers, MA] : IEEE, cop. 2024. s. 9320-9323. ISBN: 979-8-3503-6032-5 | | Zasoby:DOIURL | |
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| 2 | Referat konferencyjny 2024
Dawid Migacz, Bartosz Zieliński, Kamil Adamczewski, | Driving confidence: An uncertainty-aware framework for optimal sensor deployment in autonomous vehicles. W: Progress in polish artificial intelligence research 5 : proceedings of the 5th Polish Conference on Artificial Intelligence (PP-RAI’2024), 18-20.04.2024, Warsaw, Poland / eds. Jacek Mańdziuk, Adam Żychowski, Mikołaj Małkiński. Warszawa : Wydawnictwo Uniwersyetetu Warszawskiego, 2024. s. 374-381. ISBN: 978-83-8156-696-4; 978-83-8156-697-1 | | Zasoby:DOIURL |  |
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| 3 | Referat konferencyjny 2024
Patryk E Wielopolski, Oleksii Furman, Jerzy Stefanowski, | Probabilistically plausible counterfactual explanations with normalizing flows. W: ECAI 2024 : 27th European Conference on Artificial Intelligence, 19–24 October 2024, Santiago de Compostela, Spain. Including : 13th Conference on Prestigious Applications of Intelligent Systems (PAIS 2024) : proceedings / eds. Ulle Endriss [i in.]. Amsterdam : IOS Press, cop. 2024. s. 954-961. ISBN: 978-1-64368-548-9 | | Zasoby:DOIURLSFX | |
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| 4 | Artykuł 2024
Wojciech M Kozłowski, Michał Szachniewicz, Michał Stypułkowski, | Dimma: Semi-supervised low-light image enhancement with adaptive dimming. Entropy. 2024, vol. 26, nr 9, art. 726, s. 1-24. ISSN: 1099-4300 | | Zasoby:DOIURLSFX |    |
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| 5 | Referat konferencyjny 2024
Michał Szachniewicz, Wojciech M Kozłowski, Michał Stypułkowski, | Self-supervised adversarial masking for 3D point cloud representation learning. W: Intelligent Information and Database Systems : 16th Asian Conference, ACIIDS 2024 : Ras Al Khaimah, UAE, April 15–18, 2024 : Proceedings, Pt. 2 / eds. Ngoc Thanh Nguyen [i in.]. Singapore : Springer, cop. 2024. s. 156-168. ISBN: 978-981-97-4984-3; 978-981-97-4985-0 | | Zasoby:DOIURLSFX | |
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| 6 | Referat konferencyjny 2024
Marcin Przewięźlikowski, Marek Śmieja, Jacek Tabor, Tomasz Trzciński, Przemysław Spurek, | RegFlow: Probabilistic Flow-Based Regression for future prediction. W: Recent Challenges in Intelligent Information and Database Systems : 16th Asian Conference on Intelligent Information and Database Systems, ACIIDS 2024, Ras Al Khaimah, UAE, April 15–18, 2024 : proceedings. Pt 2 / eds. Ngoc Thanh Nguyen [i in.]. Singapore : Springer, cop. 2024. s. 267-279. ISBN: 978-981-97-5933-0; 978-981-97-5934-7 | | Zasoby:DOIURLSFX | |
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| 7 | Artykuł 2024
Patryk E Wielopolski, Oleksii Furman, | NodeFlow: towards end-to-end flexible probabilistic regression on tabular data. Entropy. 2024, vol. 26, nr 7, art. 593, s. 1-16. ISSN: 1099-4300 | | Zasoby:DOIURLSFX | |
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| 8 | Artykuł 2024
Marcin Przewięźlikowski, Przemysław Przybysz, Jacek Tabor, Przemysław Spurek, | HyperMAML: few-shot adaptation of deep models with hypernetworks. Neurocomputing. 2024, vol. 598, art. 128179, s. 1-11. ISSN: 0925-2312; 1872-8286 | | Zasoby:DOIURLSFX | |
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| 9 | Referat konferencyjny 2024
Wojciech Zając, Joanna Waczyńska, Piotr Borycki, Jacek Tabor, Przemysław Spurek, | NeRFlame: Flame-Based conditioning of NeRF for 3D face rendering. W: Computational Science - ICCS 2024 : 24th International Conference, Malaga, Spain, July 2-4, 2024 : Proceedings. Pt. 1 / eds. Leonardo Franco [i in.]. Cham : Springer, cop. 2024. s. 346-361. ISBN: 978-3-031-63748-3; 978-3-031-63749-0 | | Zasoby:DOIURLSFX | |
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| 10 | Referat konferencyjny 2024
Przemysław Spurek, Sebastian Winczowski, Tomasz Trzciński, Kacper Kania, Marcin Mazur, | Modeling 3D surfaces with a locally conditioned Atlas. W: Computational Science - ICCS 2024 : 24th International Conference, Malaga, Spain, July 2-4, 2024 : Proceedings. Pt. 2 / eds. Leonardo Franco [i in.]. Cham : Springer, cop. 2024. s. 100-115. ISBN: 978-3-031-63753-7; 978-3-031-63751-3 | | Zasoby:DOIURLSFX | |
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