Ryotaro Kamimura, Haruhiko Takeuchi. Autoeconder-Based Excessive Information Generation for Improving and Interpreting Multi-layered Neural Networks. In 7th International Congress on Advanced Applied Informatics, IIAI-AAI 2018, Yonago, Japan, July 8-13, 2018. pages 518-523, IEEE, 2018. [doi]
@inproceedings{KamimuraT18-1,
title = {Autoeconder-Based Excessive Information Generation for Improving and Interpreting Multi-layered Neural Networks},
author = {Ryotaro Kamimura and Haruhiko Takeuchi},
year = {2018},
doi = {10.1109/IIAI-AAI.2018.00112},
url = {https://doi.org/10.1109/IIAI-AAI.2018.00112},
researchr = {https://researchr.org/publication/KamimuraT18-1},
cites = {0},
citedby = {0},
pages = {518-523},
booktitle = {7th International Congress on Advanced Applied Informatics, IIAI-AAI 2018, Yonago, Japan, July 8-13, 2018},
publisher = {IEEE},
isbn = {978-1-5386-7447-5},
}