Privacy-preserving data augmentation for thermal sensation dataset based on variational autoencoder: poster abstract

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]

Abstract

Abstract is missing.