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ORCIDKoji Matsuda
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Journal Articles
- 2024
[j7]Koji Matsuda
, Yuya Sasaki, Chuan Xiao, Makoto Onizuka:
Benchmark for Personalized Federated Learning. IEEE Open J. Comput. Soc. 5: 2-13 (2024)- 2018
- [j6]Masatoshi Suzuki, Koji Matsuda, Satoshi Sekine, Naoaki Okazaki, Kentaro Inui:
A Joint Neural Model for Fine-Grained Named Entity Classification of Wikipedia Articles. IEICE Trans. Inf. Syst. 101-D(1): 73-81 (2018) - 2017
- [j5]Koji Matsuda, Akira Sasaki, Naoaki Okazaki, Kentaro Inui:
Geographical Entity Annotated Corpus of Japanese Microblogs. J. Inf. Process. 25: 121-130 (2017) - [j4]Shuangshuang Zhou, Naoaki Okazaki, Koji Matsuda, Ran Tian, Kentaro Inui:
Supervised Approaches for Japanese Wikification. J. Inf. Process. 25: 341-350 (2017) - 1998
- [j3]Tadahiro Kuroda, Kojiro Suzuki, Shinji Mita, Tetsuya Fujita, Fumiyuki Yamane, Fumihiko Sano, Akihiko Chiba, Yoshinori Watanabe, Koji Matsuda, Takeo Maeda, Takayasu Sakurai, Tohru Furuyama:
Variable supply-voltage scheme for low-power high-speed CMOS digital design. IEEE J. Solid State Circuits 33(3): 454-462 (1998) - 1997
- [j2]Koji Matsuda, Ikuo Tahara:
Explanation-based closure of databases with hypotheses. Syst. Comput. Jpn. 28(1): 56-65 (1997) - [j1]Koji Matsuda, Ikuo Tahara:
Erratum: "Explanation-based closure of databases with hypotheses". Syst. Comput. Jpn. 28(4): 96 (1997)
Conference and Workshop Papers
- 2022
- [c10]Satoshi Sekine, Kouta Nakayama, Masako Nomoto, Maya Ando, Asuka Sumida, Koji Matsuda:
Resource of Wikipedias in 31 Languages Categorized into Fine-Grained Named Entities. COLING 2022: 3769-3777 - [c9]Koji Matsuda, Yuya Sasaki, Chuan Xiao, Makoto Onizuka:
FedMe: Federated Learning via Model Exchange. SDM 2022: 459-467 - 2021
- [c8]Satoshi Sekine, Kouta Nakayama, Maya Ando, Yu Usami, Masako Nomoto, Koji Matsuda:
SHINRA2020-ML: Categorizing 30-language Wikipedia into fine-grained NE based on "Resource by Collaborative Contribution" scheme. AKBC 2021 - 2018
- [c7]Diana Galvan, Naoaki Okazaki, Koji Matsuda, Kentaro Inui:
Investigating the Challenges of Temporal Relation Extraction from Clinical Text. Louhi@EMNLP 2018: 55-64 - 2017
- [c6]Koji Matsuda, Mizuki Sango, Naoaki Okazaki, Kentaro Inui:
Monitoring Geographical Entities with Temporal Awareness in Tweets. CICLing (2) 2017: 379-390 - 2016
- [c5]Davaajav Jargalsaikhan, Naoaki Okazaki, Koji Matsuda, Kentaro Inui:
Building a Corpus for Japanese Wikification with Fine-Grained Entity Classes. ACL (Student Research Workshop) 2016: 138-144 - [c4]Masatoshi Suzuki, Koji Matsuda, Satoshi Sekine, Naoaki Okazaki, Kentaro Inui:
Neural Joint Learning for Classifying Wikipedia Articles into Fine-grained Named Entity Types. PACLIC 2016 - [c3]Masatoshi Suzuki, Koji Matsuda, Satoshi Sekine, Naoaki Okazaki, Kentaro Inui:
Fine-Grained Named Entity Classification with Wikipedia Article Vectors. WI 2016: 483-486 - 2015
- [c2]Koji Matsuda, Akira Sasaki, Naoaki Okazaki, Kentaro Inui:
Annotating Geographical Entities on Microblog Text. LAW@NAACL-HLT 2015: 85-94 - 1999
- [c1]Koji Matsuda, Kang G. Shin:
Applicability of Cyclic-Memory Networks and IEEE1394 for Fine Motion Control and Arcade Games. RTCSA 1999: 378-381
Informal and Other Publications
- 2022
- [i2]Koji Matsuda, Yuya Sasaki, Chuan Xiao, Makoto Onizuka:
An Empirical Study of Personalized Federated Learning. CoRR abs/2206.13190 (2022) - 2021
- [i1]Koji Matsuda, Yuya Sasaki, Chuan Xiao, Makoto Onizuka:
FedMe: Federated Learning via Model Exchange. CoRR abs/2110.07868 (2021)
Coauthor Index
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