Author: Kazuhiro Seki

Publication Overview

Publication period start: 2011
Number of co-authors: 6

Co-Authors

Number of publications with favourite co-authors

Productive Colleagues

Most productive colleagues in number of publications

Publications

Fu, Yueyu, Mostafa, Javed, Seki, Kazuhiro (2003): Protein association discovery in biomedical literature. In: JCDL03: Proceedings of the 3rd ACM/IEEE-CS Joint Conference on Digital Libraries , 2003, . pp. 113-115. https://portal.acm.org/citation.cfm?id=827140.827154
Seki, Kazuhiro, Mostafa, Javed (2005): An application of text categorization methods to gene ontology annotation. In: Proceedings of the 28th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval , 2005, . pp. 138-145. https://doi.acm.org/10.1145/1076034.1076060
Seki, Kazuhiro, Hattori, Hiroyuki, Uehara, Kuniaki (2008): Generating diverse katakana variants based on phonemic mapping. In: Proceedings of the 31st Annual International ACM SIGIR Conference on Research and Development in Information Retrieval , 2008, . pp. 793-794. https://doi.acm.org/10.1145/1390334.1390507
Seki, Kazuhiro, Qin, Huawei, Uehara, Kuniaki (2010): Impact and prospect of social bookmarks for bibliographic information retrieval. In: JCDL10 Proceedings of the 2010 Joint International Conference on Digital Libraries , 2010, . pp. 357-360. https://doi.acm.org/10.1145/1816123.1816179
Blondel, Mathieu, Seki, Kazuhiro, Uehara, Kuniaki (2011): Tackling class imbalance and data scarcity in literature-based gene function annotation. In: Proceedings of the 34th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval , 2011, . pp. 1123-1124. https://dx.doi.org/10.1145/2009916.2010080
Privacy Settings
By using this site, you accept our Cookie Policy and Terms of Use.
Customize
Accept all

Feel Stuck? Want Freedom?

Join 326,038+ designers who get one powerful email each week. Learn to design a life you love.

Next email in
1
day
7
hrs
20
mins
59
secs

Free forever. No spam. Unsubscribe anytime.