| Wybrane publikacje |
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| 1 | Artykuł 2025
Paweł Parczyk, Robert Burduk,| Short- and medium-term horizon photovoltaic power forecasting based on terrestrial solar radiation features. Engineering Applications of Artificial Intelligence. 2025, vol. 162, part E, art. 112668, s. 1-13. ISSN: 0952-1976; 1873-6769 | | Zasoby:DOIURLSFX |    |
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| 2 | Redakcja materiałów konferencyjnych 2025
Paweł S Trajdos, Robert Burduk,Progress in Pattern Classification and Machine Learning : Proceedings of the 14th International Conference on Computer Recognition Systems 2025. Cham: Springer Nature Switzerland AG, cop. 2025. X, 113 s. ISBN: 978-3-032-01772-7; 978-3-032-01773-4
(Lecture Notes in Networks and Systems); vol. 1557) | | Zasoby:DOIURL | |
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| 3 | Referat konferencyjny 2024
Paweł Parczyk, Tobiasz Puślecki, Robert Burduk,| On the classification of weather based on the production of photovoltaic installations. W: 24th IEEE International Conference on Data Mining Workshops, ICDMW 2024, 9 December 2024, Abu Dhabi, United Arab Emirates : proceedings / eds. Yi He [i in.]. Piscataway, NJ : Institute of Electrical and Electronics Engineers, cop. 2024. s. 696-703. ISBN: 979-8-3315-3063-1; 979-8-3315-3064-8 | | Zasoby:DOIURL | |
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| 4 | Referat konferencyjny 2024
Paweł Majewski, Piotr T Lampa, Robert Burduk, Jacek Reiner,| End-to-end solution for Tenebrio Molitor rearing monitoring with uncertainty estimation and domain shift detection. W: 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2024, Seattle, Washington, USA 16-22 June 2024 : proceedings. Danvers, MA : IEEE, cop. 2024. s. 5498-5507. ISBN: 979-8-3503-6547-4 | | Zasoby:URL |  |
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| 5 | Referat konferencyjny 2024
Paweł Parczyk, Robert Burduk,| Transition into solar elevation angle domain for photovoltaic power generation forecasting. 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. 478-485. ISBN: 978-83-8156-696-4; 978-83-8156-697-1 | | Zasoby:DOIURL | |
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| 6 | Referat konferencyjny 2024
Paweł Parczyk, Robert Burduk,| Optimisation of battery energy storage systems capacity for purpose to reduce energy cost. W: Computer Information Systems and Industrial Management : 23rd International Conference, CISIM 2024, Bialystok, Poland, September 27-29, 2024 : proceedings / eds. Khalid Saeed, Jiří Dvorský. Cham : Springer, cop. 2024. s. 414-427. ISBN: 978-3-031-71114-5; 978-3-031-71115-2 | | Zasoby:DOIURLSFX | |
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| 7 | Artykuł 2024
Paweł S Trajdos, Robert Burduk,| Ensemble of classifiers based on score function defined by clusters and decision boundary of linear base learners. Knowledge-Based Systems. 2024, vol. 303, art. 112411, s. 1-15. ISSN: 0950-7051; 1872-7409 | | Zasoby:DOISFX | |
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| 8 | Referat konferencyjny 2024
Paweł Majewski, Piotr T Lampa, Robert Burduk, Jacek Reiner,| Improved pest detection in insect larvae rearing with pseudo-labelling and spatio-temporal masking. W: VISIGRAPP 2024 : proceedings of the 19th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications, Rome, Italy, 27-29 February, 2024. Vol. 2, VISAPP / eds. Petia Radeva [i in.]. [Setúbal] : SciTePress, cop. 2024. s. 349-356. ISBN: 978-989-758-679-8 | | Zasoby:DOIURL | |
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| 9 | Artykuł 2024
Paweł Majewski, Mariusz Mrzygłód, Piotr T Lampa, Robert Burduk, Jacek Reiner,| Monitoring the growth of insect larvae using a regression convolutional neural network and knowledge transfer. Engineering Applications of Artificial Intelligence. 2024, vol. 127, pt B, art. 107358, s. 1-17. ISSN: 0952-1976; 1873-6769 | | Zasoby:DOIURLSFX | |
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| 10 | Rozdział w monografii 2023
Paweł Parczyk, Robert Burduk,| Statistical method for photovoltaic power forecasting basing on signal components decomposition. W: Progress in Polish Artificial Intelligence Research 4 / eds. Adam Wojciechowski, Piotr Lipiński. Łódź : Wydawnictwo Politechniki Łódzkiej, 2023. s. 207-212. ISBN: 978-83-66741-92-8 | | Zasoby:DOIURLSFX | |
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