Explanation-based closure of databases with hypotheses. - Koji Matsuda; Ikuo Tahara (Syst. Comput. Jpn., 1997)

Erratum: "Explanation-based closure of databases with hypotheses". - Koji Matsuda; Ikuo Tahara (Syst. Comput. Jpn., 1997)

Variable supply-voltage scheme for low-power high-speed CMOS digital design. - Tadahiro Kuroda; Kojiro Suzuki; Shinji Mita; Tetsuya Fujita; Fumiyuki Yamane; Fumihiko Sano; Akihiko Chiba; Yoshinori Watanabe; Koji Matsuda; Takeo Maeda; Takayasu Sakurai; Tohru Furuyama (IEEE J. Solid State Circuits, 1998)

Applicability of Cyclic-Memory Networks and IEEE1394 for Fine Motion Control and Arcade Games. - Koji Matsuda; Kang G. Shin (RTCSA, 1999)

Annotating Geographical Entities on Microblog Text. - Koji Matsuda; Akira Sasaki; Naoaki Okazaki; Kentaro Inui (LAW@NAACL-HLT, 2015)

Building a Corpus for Japanese Wikification with Fine-Grained Entity Classes. - Davaajav Jargalsaikhan; Naoaki Okazaki; Koji Matsuda; Kentaro Inui (ACL (Student Research Workshop), 2016)

Neural Joint Learning for Classifying Wikipedia Articles into Fine-grained Named Entity Types. - Masatoshi Suzuki; Koji Matsuda; Satoshi Sekine; Naoaki Okazaki; Kentaro Inui (PACLIC, 2016)

Fine-Grained Named Entity Classification with Wikipedia Article Vectors. - Masatoshi Suzuki; Koji Matsuda; Satoshi Sekine; Naoaki Okazaki; Kentaro Inui (WI, 2016)

Monitoring Geographical Entities with Temporal Awareness in Tweets. - Koji Matsuda; Mizuki Sango; Naoaki Okazaki; Kentaro Inui (CICLing (2), 2017)

Geographical Entity Annotated Corpus of Japanese Microblogs. - Koji Matsuda; Akira Sasaki; Naoaki Okazaki; Kentaro Inui (J. Inf. Process., 2017)

Supervised Approaches for Japanese Wikification. - Shuangshuang Zhou; Naoaki Okazaki; Koji Matsuda; Ran Tian; Kentaro Inui (J. Inf. Process., 2017)

Investigating the Challenges of Temporal Relation Extraction from Clinical Text. - Diana Galvan; Naoaki Okazaki; Koji Matsuda; Kentaro Inui (Louhi@EMNLP, 2018)

A Joint Neural Model for Fine-Grained Named Entity Classification of Wikipedia Articles. - Masatoshi Suzuki; Koji Matsuda; Satoshi Sekine; Naoaki Okazaki; Kentaro Inui (IEICE Trans. Inf. Syst., 2018)

Overview of SHINRA2020-ML Task. - Satoshi Sekine; Masako Nomoto; Kouta Nakayama; Asuka Sumida; Koji Matsuda (NTCIR, 2020)

SHINRA2020-ML: Categorizing 30-language Wikipedia into fine-grained NE based on "Resource by Collaborative Contribution" scheme. - Satoshi Sekine; Kouta Nakayama; Maya Ando; Yu Usami; Masako Nomoto; Koji Matsuda (AKBC, 2021)

Resource of Wikipedias in 31 Languages Categorized into Fine-Grained Named Entities. - Satoshi Sekine; Kouta Nakayama; Masako Nomoto; Maya Ando; Asuka Sumida; Koji Matsuda (COLING, 2022)

FedMe: Federated Learning via Model Exchange. - Koji Matsuda; Yuya Sasaki 001; Chuan Xiao 001; Makoto Onizuka (SDM, 2022)

An Empirical Study of Personalized Federated Learning. - Koji Matsuda; Yuya Sasaki 001; Chuan Xiao 001; Makoto Onizuka (CoRR, 2022)

Benchmark for Personalized Federated Learning. - Koji Matsuda; Yuya Sasaki 001; Chuan Xiao 001; Makoto Onizuka (IEEE Open J. Comput. Soc., 2024)