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2020 – today
- 2024
[c6]Ryo Nakamura, Ryu Tadokoro, Eisuke Yamagata, Yusuke Kondo, Kensho Hara, Hirokatsu Kataoka, Nakamasa Inoue:
Pseudo-Outlier Synthesis Using Q-Gaussian Distributions for Out-of-Distribution Detection. ICASSP 2024: 3120-3124- 2022
- [c5]Tomoki Okuro, Yumiko Nakayama, Yoshitada Takeshima, Yusuke Kondo, Nobuya Tachimori, Makoto Yoshida, Hiromu Yoshihara, Hirohiko Suwa, Keiichi Yasumoto
:
Vehicle Detection and Classification using Vibration Sensor and Machine Learning. Intelligent Environments 2022: 1-8 - 2021
- [c4]Yusuke Kondo, Xueting Wang, Hiroyuki Seshime, Toshihiko Yamasaki:
Sequential Banner Design Optimization with Deep Reinforcement Learning. ISM 2021: 253-256 - 2020
- [j2]Joaquim Carreras, Yara Yukie Kikuti, Masashi Miyaoka, Shinichiro Hiraiwa, Sakura Tomita, Haruka Ikoma, Yusuke Kondo, Atsushi Ito, Naoya Nakamura, Rifat A. Hamoudi:
Artificial Intelligence Analysis of the Gene Expression of Follicular Lymphoma Predicted the Overall Survival and Correlated with the Immune Microenvironment Response Signatures. Mach. Learn. Knowl. Extr. 2(4): 647-671 (2020) - [c3]Yusuke Kondo, Takafumi Sakura, Toshihiko Yamasaki:
Text-to-Clipart using AttnGAN. BigMM 2020: 282-286
2010 – 2019
- 2018
- [j1]Yusuke Kondo, Masato Kobayashi, Tomoko Akama, Takeshi Noro, Tetsuya Taketsugu:
All-electron relativistic computations on the low-lying electronic states, bond length, and vibrational frequency of CeF diatomic molecule with spin-orbit coupling effects. J. Comput. Chem. 39(16): 964-972 (2018) - 2014
- [c2]Yusuke Kondo, Koichiro Yamauchi:
A Dynamic Pruning Strategy for Incremental Learning on a Budget. ICONIP (1) 2014: 295-303 - 2013
- [c1]Koichiro Yamauchi, Yusuke Kondo, Akinari Maeda, Kiyotaka Nakano, Akihisa Kato:
Incremental Learning on a Budget and Its Application to Power Electronics. ICONIP (2) 2013: 341-351
Coauthor Index
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