Hiroki Yoshikawa, Akira Uchiyama. Privacy-preserving data augmentation for thermal sensation dataset based on variational autoencoder: poster abstract. In Jorge Ortiz 0001, editor, Proceedings of the 9th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation, BuildSys 2022, Boston, Massachusetts, November 9-10, 2022. pages 286-287, ACM, 2022. [doi]
@inproceedings{YoshikawaU22,
title = {Privacy-preserving data augmentation for thermal sensation dataset based on variational autoencoder: poster abstract},
author = {Hiroki Yoshikawa and Akira Uchiyama},
year = {2022},
doi = {10.1145/3563357.3567747},
url = {https://doi.org/10.1145/3563357.3567747},
researchr = {https://researchr.org/publication/YoshikawaU22},
cites = {0},
citedby = {0},
pages = {286-287},
booktitle = {Proceedings of the 9th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation, BuildSys 2022, Boston, Massachusetts, November 9-10, 2022},
editor = {Jorge Ortiz 0001},
publisher = {ACM},
isbn = {978-1-4503-9890-9},
}