Adam Krzyzak, Wojciech Rafajlowicz, Ewaryst Rafajlowicz. Learning Shape-Preserving Autoencoder for the Reconstruction of Functional Data from Noisy Observations. In Jirí Mikyska, Clélia de Mulatier, Maciej Paszynski, Valeria V. Krzhizhanovskaya, Jack J. Dongarra, Peter M. A. Sloot, editors, Computational Science - ICCS 2023 - 23rd International Conference, Prague, Czech Republic, July 3-5, 2023, Proceedings, Part II. Volume 14074 of Lecture Notes in Computer Science, pages 264-272, Springer, 2023. [doi]
@inproceedings{KrzyzakRR23,
title = {Learning Shape-Preserving Autoencoder for the Reconstruction of Functional Data from Noisy Observations},
author = {Adam Krzyzak and Wojciech Rafajlowicz and Ewaryst Rafajlowicz},
year = {2023},
doi = {10.1007/978-3-031-36021-3_26},
url = {https://doi.org/10.1007/978-3-031-36021-3_26},
researchr = {https://researchr.org/publication/KrzyzakRR23},
cites = {0},
citedby = {0},
pages = {264-272},
booktitle = {Computational Science - ICCS 2023 - 23rd International Conference, Prague, Czech Republic, July 3-5, 2023, Proceedings, Part II},
editor = {Jirí Mikyska and Clélia de Mulatier and Maciej Paszynski and Valeria V. Krzhizhanovskaya and Jack J. Dongarra and Peter M. A. Sloot},
volume = {14074},
series = {Lecture Notes in Computer Science},
publisher = {Springer},
isbn = {978-3-031-36021-3},
}