A knowledge-based framework in an intelligent assistant system for making documents. - Ikuo Keshi; Naoyuki Fukuda; Yoshiji Fujimoto (Future Gener. Comput. Syst., 1989)

Associative image retrieval using knowledge in encyclopedia text. - Ikuo Keshi; Hiroshi Ikeuchi; Ken'Ichi Kuromusha (Syst. Comput. Jpn., 1996)

Lessons from BMIR-J2: A Test Collection for Japanese IR Systems. - Tsuyoshi Kitani; Yasushi Ogawa; Tetsuya Ishikawa; Haruo Kimoto; Ikuo Keshi; Jun Toyoura; Toshikazu Fukushima; Kunio Matsui; Yoshihiro Ueda; Tetsuya Sakai; Takenobu Tokunaga; Hiroshi Tsuruoka; et al. (SIGIR, 1998)

BMIR-J2: A Test Collection for Evaluation of Japanese Information Retrieval Systems. - Tetsuya Sakai; Tsuyoshi Kitani; Yasushi Ogawa; Tetsuya Ishikawa; Haruo Kimoto; Ikuo Keshi; Jun Toyoura; Toshikazu Fukushima; Kunio Matsui; Yoshihiro Ueda; Takenobu Tokunaga; Hiroshi Tsuruoka; et al. (SIGIR Forum, 1999)

Is home network application acceptable or not? - Ikuo Keshi; Yumi Shiraishi; Hiroaki Niwamoto; Minoru Okada; Heiichi Yamamoto (ISCAS (5), 2005)

An energy-efficient architecture of wireless home network based on MAC broadcast and transmission power control. - Kenji Watanabe; Masanao Ise; Takao Onoye; Hiroaki Niwamoto; Ikuo Keshi (IEEE Trans. Consumer Electron., 2007)

Semantically readable distributed representation learning for social media mining. - Ikuo Keshi; Yu Suzuki 001; Koichiro Yoshino; Satoshi Nakamura 001 (WI, 2017)

Semantically Readable Distributed Representation Learning and Its Expandability Using a Word Semantic Vector Dictionary. - Ikuo Keshi; Yu Suzuki 001; Koichiro Yoshino; Satoshi Nakamura 001 (IEICE Trans. Inf. Syst., 2018)

Interpretable Disease Name Estimation based on Learned Models using Semantic Representation Learning of Medical Terms. - Ikuo Keshi; Ryota Daimon; Atsushi Hayashi (KDIR, 2022)

Integrated Evaluation of Semantic Representation Learning, BERT, and Generative AI for Disease Name Estimation Based on Chief Complaints. - Ikuo Keshi; Ryota Daimon; Yutaka Takaoka; Atsushi Hayashi (KDIR, 2024)