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Researcher List >> Tetsuji Kuboyama
 

Tetsuji Kuboyama

 
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NameTetsuji Kuboyama
URLhttp://tk.cc.gakushuin.ac.jp/en/
AffiliationGakushuin University
SectionComputer Centre / Archival Science, Graduate School of Humanities
Job titleProfessor
DegreePh.D.(University of Tokyo)
Other AffiliationUniversity of Tokyo 生産技術研究所, Tokyo Denki University 総合研究所・知能創発研究所
Research funding number80302660
ORCID ID0000-0003-1590-0231
J-Global ID200901047478411760

Research Interests

 
Feature Selection ,Tree Edit Distance ,Machine Learning ,Edit Distance ,Designing Similarity Measures ,カーネル法 ,Glycan Strucgtures ,Network Analysis ,Similarity Measures ,木のアラインメント ,離散データ構造 ,公共事業入札 ,グラフ構造 ,データマイニング ,木構造データ ,情報抽出 ,グラフ構造データ ,遺伝的プログラミング ,パターン発見 ,kernel methods ,tree structures

Research Areas

 
  • Informatics / Intelligent informatics / 
  • Informatics / Information theory / 
  • Humanities & social sciences / Library/information science, humanistic/social informatics / 

Research History

 
Dec 2019
 - 
Today
Tokyo Denki University   
 
Apr 2019
 - 
Today
Gakushuin University Archival Science, Graduate School of Humanities Professor 
 
Apr 2013
 - 
Today
Gakushuin University Computer Centre Professor 
 
Apr 2008
 - 
Mar 2013
Gakushuin University Computer Centre Associate Professor 
 
Jul 2009
 - 
Sep 2009
University of Bern Institute of Computer Science and Applied Mathematics Visiting Researcher 
 

Education

 
Apr 1989
 - 
Mar 1992
Kyushu University Engineering Computer Science
 

Committee Memberships

 
Apr 2018
 - 
Mar 2022
情報処理学会  情報処理学会論文誌: 数理モデル化と応用 編集委員
 
Apr 2012
 - 
Mar 2015
情報処理学会  情報処理学会論文誌: 数理モデル化と応用 編集委員
 
Apr 2012
 - 
Mar 2014
人工知能学会  人工知能基本問題研究会(SIG-FPAI) 主査
 
Apr 2010
 - 
Mar 2012
人工知能学会  人工知能基本問題研究会(SIG-FPAI) 主幹事
 
Apr 2007
 - 
Mar 2011
情報処理学会  情報処理学会論文誌: 数理モデル化と応用 編集委員
 

Awards

 
Sep 2016
Best Paper Award,Breaking Anonymity of Social Network Accounts by Using Coordinated and Extensible Classifiers based on Machine Learning
E. Hashimoto M. Ichino T. Kuboyama I. Echizen H. Yoshiura 
 
2009
KES, The Best Invited Session Award,Session on Social Network
Tetsuji Kuboyama Sebastian Rios 
 
2007
人工知能学会, 研究会優秀賞,畳み込みカーネルと多項式カーネルの一般化
久保山哲二 申吉浩 
 
2006
DEWS, 優秀プレゼンテーション賞,共通構造の数え上げによる半構造データカーネルの設計
久保山哲二 
 

Papers

 
 
草場彰   寒川義裕   久保山哲二   新田州吾   白石賢二   押山淳   
日本結晶成長学会誌   50(1) 50-1-05   Apr 2023   [Refereed]
 
TOKUNAGA Hiroko   KUBOYAMA Tetsuji   KIMURA Atsushi   MUKAWA Naoki   
J106-A(3) 104-113   Mar 2023   [Refereed]
Based on the behavior analysis of the co-eating of older adults, this study clarifies the effects of psychological health on meal time conversation. We conducted a dietary experiment in which the same menu was provided in individual and platter fo...
 
2022 207-212   Dec 2022   [Refereed]
 
2022 289-294   Dec 2022   [Refereed]
 
A. Kusaba   S. Nitta   K. Shiraishi   T. Kuboyama   Y. Kangawa   
Applied Physics Letters   121(16)    Oct 2022   [Refereed]
To develop a quantitative reaction simulator, data assimilation was performed using high-resolution time-of-flight mass spectrometry (TOF-MS) data applied to a GaN metalorganic vapor phase epitaxy system. Incorporating ab initio knowledge into the...

Misc.

 
 
樋口 直哉   今村 安伸   篠原 武   平田 耕一   久保山 哲二   
人工知能学会研究会資料 人工知能基本問題研究会   123 24-29   Jan 2023
 
徳永弘子   久保山哲二   木村敦   武川直樹   
電子情報通信学会技術研究報告(Web)   121(363(HCS2021 43-60)) 43-48   2022   
 
KAWASAKI Yuma   MIYAHARA Tetsuihiro   KUBOYAMA Tetsuji   SUZUKI Yusuke   UCHIDA Tomoyuki   
Proceedings of the Annual Conference of JSAI   JSAI2021 4G3GS2l01-4G3GS2l01   2021
Knowledge acquisition from graph structured data is an important task in machine learning and data mining. TTSP (Two-Terminal Series Parallel) graphs are used as data models for electric networks and scheduling. We propose an evolutionary learning...
 
YOKOYAMA Shunsuke   MIYAHARA Tetsuhiro   SUZUKI Yusuke   UCHIDA Tomoyuki   KUBOYAMA Tetsuji   
Proceedings of the Annual Conference of JSAI   JSAI2021 4G3GS2l02-4G3GS2l02   2021
Machine learning and data mining from tree structured data are studied intensively. We propose an evolutionary learning method for acquiring characteristic tag tree patterns with vertex labels and wildcards from positive and negative tree data, by...
 
TOKUHARA Fumiya   OKINAGA Shiho   MIYAHARA Tetsuhiro   SUZUKI Yusuke   KUBOYAMA Tetsuji   UCHIDA Tomoyuki   
Proceedings of the Annual Conference of JSAI   JSAI2020 1O3GS802-1O3GS802   2020
Machine learning from graph structured data are studied intensively. Many chemical compounds can be expressed by outerplanar graphs. The purpose of this paper is to propose a learning method for obtaining characteristic graph patterns from positiv...

Faculty (Teaching Experience)

 
Oct 2022
 - 
Today
Intermediate Python Programming (Gakushuin University)
Apr 2022
 - 
Today
Digital Archives (Gakushuin University)
Apr 2022
 - 
Today
Introduction to Computer Science (Gakushuin University)
Apr 2022
 - 
Today
Introduction to Information Theory (Gakushuin University)
Apr 2022
 - 
Today
Introduction to Artificial Intelligence (Gakushuin University)

Professional Memberships

 
 
   
 
THE DATABASE SOCIETY OF JAPAN
 
   
 
人工知能学会
 
   
 
電子情報通信学会
 
   
 
情報処理学会

Research Projects

 
 
Project Year: Apr 2023 - Mar 2028
 
グラフ構造パターンにより可視化された説明可能なグラフ構造化知識の獲得システム
日本学術振興会: 科学研究費助成事業 基盤研究(C)
宮原 哲浩 内田 智之 久保山 哲二 廣渡 栄寿 
Project Year: Apr 2022 - Mar 2026
 
A Method for Analyzing Collective Behavior Based on Structuring Topics on Large-Scale SNS
Japan Society for the Promotion of Science: Grants-in-Aid for Scientific Research Grant-in-Aid for Scientific Research (B)
Project Year: Apr 2021 - Mar 2026
 
New Problem Formulation on Next Generation Informatics and Researches on thier Algorithms
Japan Society for the Promotion of Science: Grants-in-Aid for Scientific Research Grant-in-Aid for Transformative Research Areas (A)
Project Year: Nov 2020 - Mar 2025
 
自然言語処理技術を用いた日英仏議会テキスト解析による国会の特質・変則性の解明
日本学術振興会: 科学研究費助成事業 挑戦的研究(開拓)
野中 尚人 久保山 哲二 狩野 芳伸 三輪 洋文 
Project Year: Jul 2020 - Mar 2024