Incremental Learning on a Budget and Its Application to Power Electronics. - Koichiro Yamauchi 001; Yusuke Kondo; Akinari Maeda; Kiyotaka Nakano; Akihisa Kato (ICONIP (2), 2013)

A Dynamic Pruning Strategy for Incremental Learning on a Budget. - Yusuke Kondo; Koichiro Yamauchi 001 (ICONIP (1), 2014)

All-electron relativistic computations on the low-lying electronic states, bond length, and vibrational frequency of CeF diatomic molecule with spin-orbit coupling effects. - Yusuke Kondo; Masato Kobayashi; Tomoko Akama; Takeshi Noro; Tetsuya Taketsugu (J. Comput. Chem., 2018)

Text-to-Clipart using AttnGAN. - Yusuke Kondo; Takafumi Sakura; Toshihiko Yamasaki (BigMM, 2020)

Artificial Intelligence Analysis of the Gene Expression of Follicular Lymphoma Predicted the Overall Survival and Correlated with the Immune Microenvironment Response Signatures. - Joaquim Carreras; Yara Yukie Kikuti; Masashi Miyaoka; Shinichiro Hiraiwa; Sakura Tomita; Haruka Ikoma; Yusuke Kondo; Atsushi Ito; Naoya Nakamura; Rifat A. Hamoudi (Mach. Learn. Knowl. Extr., 2020)

Sequential Banner Design Optimization with Deep Reinforcement Learning. - Yusuke Kondo; Xueting Wang; Hiroyuki Seshime; Toshihiko Yamasaki (ISM, 2021)

Vehicle Detection and Classification using Vibration Sensor and Machine Learning. - Tomoki Okuro; Yumiko Nakayama; Yoshitada Takeshima; Yusuke Kondo; Nobuya Tachimori; Makoto Yoshida; Hiromu Yoshihara; Hirohiko Suwa; Keiichi Yasumoto (Intelligent Environments, 2022)

Pseudo-Outlier Synthesis Using Q-Gaussian Distributions for Out-of-Distribution Detection. - Ryo Nakamura; Ryu Tadokoro; Eisuke Yamagata; Yusuke Kondo; Kensho Hara; Hirokatsu Kataoka; Nakamasa Inoue (ICASSP, 2024)