Yuki Kimura, Takaya Ueda, Seo Masataka, Yukako Tohsato, Ikuko Nishikawa. Characterizing Phenotype Abnormality by Variational Auto Encoder. In Yong Liu 0012, Lipo Wang, Liang Zhao 0001, Zhengtao Yu 0001, editors, Advances in Natural Computation, Fuzzy Systems and Knowledge Discovery - Proceedings of the 15th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD 2019), Kunming, China, July 20-22, 2019 - Volume 1. Volume 1074 of Advances in Intelligent Systems and Computing, pages 618-626, Springer, 2019. [doi]
@inproceedings{KimuraUMTN19,
title = {Characterizing Phenotype Abnormality by Variational Auto Encoder},
author = {Yuki Kimura and Takaya Ueda and Seo Masataka and Yukako Tohsato and Ikuko Nishikawa},
year = {2019},
doi = {10.1007/978-3-030-32456-8_68},
url = {https://doi.org/10.1007/978-3-030-32456-8_68},
researchr = {https://researchr.org/publication/KimuraUMTN19},
cites = {0},
citedby = {0},
pages = {618-626},
booktitle = {Advances in Natural Computation, Fuzzy Systems and Knowledge Discovery - Proceedings of the 15th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD 2019), Kunming, China, July 20-22, 2019 - Volume 1},
editor = {Yong Liu 0012 and Lipo Wang and Liang Zhao 0001 and Zhengtao Yu 0001},
volume = {1074},
series = {Advances in Intelligent Systems and Computing},
publisher = {Springer},
isbn = {978-3-030-32456-8},
}