Tetsuji Kuboyama

Profile Information

Affiliation: Professor, Computer Centre / Archival Science, Graduate School of Humanities, Gakushuin University
: Tokyo Denki University

Degree: Ph.D.(University of Tokyo)

Researcher number: 80302660
ORCID iD: https://orcid.org/0000-0003-1590-0231
J-GLOBAL ID: 200901047478411760
researchmap Member ID: 5000102916

External link: https://tk.cc.gakushuin.ac.jp/en/

Research Interests

Research Areas

Research History

Dec, 2019 - Present

Tokyo Denki University
Apr, 2019 - Present

Professor, Archival Science, Graduate School of Humanities, Gakushuin University
Apr, 2013 - Present

Professor, Computer Centre, Gakushuin University
Apr, 2008 - Mar, 2013

Associate Professor, Computer Centre, Gakushuin University
Jul, 2009 - Sep, 2009

Visiting Researcher, Institute of Computer Science and Applied Mathematics, University of Bern
Apr, 1997 - Mar, 2008

Research Associate, Center for Collaborative Research, The University of Tokyo

Education

Apr, 1989 - Mar, 1992

Computer Science, Engineering, Kyushu University

Committee Memberships

Apr, 2018 - Mar, 2022

情報処理学会論文誌：数理モデル化と応用編集委員, 情報処理学会
Apr, 2012 - Mar, 2015

情報処理学会論文誌：数理モデル化と応用編集委員, 情報処理学会
Apr, 2012 - Mar, 2014

人工知能基本問題研究会(SIG-FPAI) 主査, 人工知能学会
Apr, 2010 - Mar, 2012

人工知能基本問題研究会(SIG-FPAI) 主幹事, 人工知能学会
Apr, 2007 - Mar, 2011

情報処理学会論文誌：数理モデル化と応用編集委員, 情報処理学会
Apr, 2008 - Mar, 2010

人工知能基本問題研究会(SIG-FPAI) 幹事, 人工知能学会

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

The Best Invited Session Award, Session on Social Network, KES

Tetsuji Kuboyama, Sebastian Rios
2007

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, 人工知能学会

久保山哲二, 申吉浩
2006

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, DEWS

久保山哲二

Papers

127

SAT solver-driven approach for validating local electron counting rule

Tetsuji Kuboyama, Akira Kusaba

Journal of Crystal Growth, Jan, 2025 Peer-reviewed
Fast Filtering for Similarity Search Using Conjunctive Enumeration of Sketches in Order of Hamming Distance.

Naoya Higuchi, Yasunobu Imamura, Vladimir Mic, Takeshi Shinohara, Kouichi Hirata, Tetsuji Kuboyama

ICPRAM, 499-510, 2024 Peer-reviewed
GaN有機金属気相成長におけるデジタルツイン開発の現状（特集「エピタキシャル成長の量子論における新展開：シミュレーションからデジタルツインへ」）

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 28, 2023 Peer-reviewed
A Consideration of Psychological Effect of Co-eating Based on Analysis of Conversational Behavior: From Comparison of Affects by Dining Styles

TOKUNAGA Hiroko, KUBOYAMA Tetsuji, KIMURA Atsushi, MUKAWA Naoki

J106-A(3) 104-113, Mar 1, 2023 Peer-reviewed
Analysis on Comments to News Articles by Diversity Analysis

2022 207-212, Dec 2, 2022 Peer-reviewed
Analysis of election manifestos by microclustering

2022 289-294, Dec 2, 2022 Peer-reviewed
Beyond ab initio reaction simulator: An application to GaN metalorganic vapor phase epitaxy

A. Kusaba, S. Nitta, K. Shiraishi, T. Kuboyama, Y. Kangawa

Applied Physics Letters, 121(16), Oct 17, 2022 Peer-reviewed
Exploration of a large-scale reconstructed structure on GaN(0001) surface by Bayesian optimization

A. Kusaba, Y. Kangawa, T. Kuboyama, A. Oshiyama

Applied Physics Letters, 120(2), Jan 10, 2022 Peer-reviewed
A new combination of Hankel and sparsity-promoting dynamic mode decompositions and its application to the prediction of plasma turbulence

Akira Kusaba, Tetsuji Kuboyama, Kilho Shin, Makoto Sasaki, Shigeru Inagaki

Japanese Journal of Applied Physics, 61(SA), Jan, 2022 Peer-reviewed
Nearest-neighbor Search from Large Datasets using Narrow Sketches.

Naoya Higuchi, Yasunobu Imamura, Vladimir Mic, Takeshi Shinohara, Kouichi Hirata, Tetsuji Kuboyama

ICPRAM, 401-410, 2022 Peer-reviewed
Automated Annotation of Stencil Images using Pre-trained models with Natural and Fractal Images

Yusuke Kyokawa, Tetsuji Kuboyama, Mizuho Kamo, Eisaku Maeda

じんもんこん2021論文集, 2021(2021) 260-267, Dec 4, 2021 Peer-reviewed
Digital Twin on Crystal Growth: A combined approach of AI and Computational Science

Akira Kusaga, Tetsuji Kuboyama, Yoshihiro Kangawa

結晶成長国内会議予稿集(CD-ROM), 50th, 2021 Invited
Random Number Generators in Training of Contextual Neural Networks.

Maciej Huk, Kilho Shin, Tetsuji Kuboyama, Takako Hashimoto

Intelligent Information and Database Systems - 13th Asian Conference(ACIIDS), 12672 LNAI 717-730, 2021 Peer-reviewed
Analyzing temporal patterns of topic diversity using graph clustering

Takako Hashimoto, David Lawrence Shepard, Tetsuji Kuboyama, Kilho Shin, Ryota Kobayashi, Takeaki Uno

The Journal of Supercomputing, 77(5) 4375-4388, Oct 1, 2020 Peer-reviewed
Fast Nearest Neighbor Search with Narrow 16-bit Sketch

13(1) 13-22, Mar 25, 2020 Peer-reviewed
Twitter Topic Progress Visualization using Micro-Clustering

Takako Hashimoto, Akira Kusaba, Dave Shepard, Tetsuji Kuboyama, Kilho Shin, Takeaki Uno

Proceedings of the 9th International Conference on Pattern Recognition Applications and Methods (ICPRAM 2020), 585-592, Feb 22, 2020 Peer-reviewed
A Fast Algorithm for Unsupervised Feature Value Selection

Kilho Shin, Kenta Okumoto, David Shepard, Tetsuji Kuboyama, Takako Hashimoto, Hiroaki Ohshima

Proceedings of the 12th International Conference on Agents and Artificial Intelligence - Volume 2: ICAART, 203-213, Feb, 2020 Peer-reviewed
Sparsity-Promoting Dynamic Mode Decomposition of Plasma Turbulence

Akira Kusaba, Tetsuji Kuboyama, Shigeru Inagaki

Plasma and Fusion Research, 15 1301001:1-1301001:4, Jan 6, 2020 Peer-reviewed
Annealing by Increasing Resampling

Naoya Higuchi, Yasunobu Imamura, Takeshi Shinohara, Kouichi Hirata, Tetsuji Kuboyama

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 11996 LNCS 71-92, 2020 Peer-reviewed
Unsupervised Clustering based on Feature-value / Instance Transposition Selection.

Akira Kusaba, Takako Hashimoto, Kilho Shin, David Lawrence Shepard, Tetsuji Kuboyama

2020 IEEE Region 10 Conference(TENCON), 2020-November 1192-1197, 2020 Peer-reviewed

Misc.

131

スケッチを用いた検索における2段階フィルタリングの有効性の検証

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 5, 2023
How Conversational Behavior is Affected by Dining Styles

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
Evolutionary Acquisition of Multiple TTSP Graph Patterns with Wildcards by Clustering TTSP Graphs

KAWASAKI Yuma, MIYAHARA Tetsuihiro, KUBOYAMA Tetsuji, SUZUKI Yusuke, UCHIDA Tomoyuki

Proceedings of the Annual Conference of JSAI, JSAI2021 4G3GS2l01-4G3GS2l01, 2021
Acquisition of Tag Tree Patterns with Vertex Labels and Wildcards by Evolutionary Learning using Label Information

YOKOYAMA Shunsuke, MIYAHARA Tetsuhiro, SUZUKI Yusuke, UCHIDA Tomoyuki, KUBOYAMA Tetsuji

Proceedings of the Annual Conference of JSAI, JSAI2021 4G3GS2l02-4G3GS2l02, 2021
Acquisition of Multiple Block Preserving Outerplanar Graph Patterns with Wildcards by Evolutionary Learning using Label Information

TOKUHARA Fumiya, OKINAGA Shiho, MIYAHARA Tetsuhiro, SUZUKI Yusuke, KUBOYAMA Tetsuji, UCHIDA Tomoyuki

Proceedings of the Annual Conference of JSAI, JSAI2020 1O3GS802-1O3GS802, 2020
A comparative study on sparse mode selection methods in dynamic mode decomposition

KUSABA Akira, KUBOYAMA Tetsuji

JSAI Technical Report, SIG-FPAI, 110 01, Sep 15, 2019
Acquisition of Block Preserving Outerplanar Graph Patterns with Wildcards by Genetic Programming

OKINAGA Shiho, TOKUHARA Fumiya, MIYAHARA Tetsuhiro, SUZUKI Yusuke, KUBOYAMA Tetsuji, UCHIDA Tomoyuki

Proceedings of the Annual Conference of JSAI, JSAI2019 4L3J805-4L3J805, 2019
Bipartite Edge Correlation Clustering and Its Randomized Algorithm

MIZUKAMI Mikio, HIRATA Kouichi, KUMBOYAMA Tetsuji

JSAI Technical Report, SIG-FPAI, 107 05, Jul 30, 2018
Time Series Topic Transition Analysis using Micro-Clusters

HASHIMOTO Takako, UNO Takeaki, KUBOYAMA Tetsuji

JSAI Technical Report, SIG-FPAI, 106 37-42, Mar 16, 2018
<研究報告>幾何学的統計学の可視化教材の作成

白田由香利, Terry Widyani, 橋本隆子, Riri Fitri Sar, 佐倉環, 久保山哲二

学習院大学計算機センター年報, (39) 2-10, 2018
Enumeration of Maximally Frequent Ordered Tree Patterns with Wildcards for Edge Labels

Tetsuhiro Miyahara, Yusuke Suzuki, Takayoshi Shoudai, Tomoyuki Uchida, Tetsuji Kuboyama

10(2) 59-69, Jul 19, 2017
A Feature Selection Method for Relational Data Based on Modularity

103 89-94, Mar 13, 2017
Analysis of Biclustering Algorithms Assuming Several Types of Cluster Structure

103 67-72, Mar 13, 2017
<研究報告>超高速カテゴリカル特徴選択手法を用いた高次元データの特徴付け

久保山哲二, 磯上貞雄, 城所弘泰, 村上登志男, 申吉浩, 橋本隆子

学習院大学計算機センター年報, (38) 132-133, 2017
<研究報告>フーリエ変換の線形応答理論に基づく株価変動への影響のパターン分析

白田由香利, 久保山哲二, 橋本隆子, 佐倉環, 矢野百合子

学習院大学計算機センター年報, (38) 14-24, 2017
Proposal and Preliminary Evaluation of System That Identifies person who posts on Social Network

30(2) 3-19, Sep, 2016
Application to a big database of similarity calculation using the grammar compression

100 86-89, Mar 27, 2016
Algorithms for Extracting Arbitrarily Shaped Subtrees by Tree PCA

99 63-68, Jan 21, 2016
A Theory of Feature Selection Measures

申吉浩, Angulo Adrian Pino, 久保山哲二

人工知能基本問題研究会, 97 45-47, Mar 22, 2015
Extracting Principal Component from Tree Structure Data

29 1-4, 2015

Teaching Experience

Apr, 2023 - Present

Concepts of Computing (Waseda University)
Oct, 2022 - Present

Intermediate Python Programming (Gakushuin University)
Apr, 2022 - Present

Digital Archives (Gakushuin University)
Apr, 2022 - Present

Introduction to Computer Science (Gakushuin University)
Apr, 2022 - Present

Introduction to Information Theory (Gakushuin University)
Apr, 2022 - Present

Introduction to Artificial Intelligence (Gakushuin University)
2022 - Present

AIの諸問題 (九州工業大学大学院)
2018 - Present

Archival Information Systems (Long-term Course at Archives College) (National Institute of Japanese Literature)
情報数理解析入門[12] (学習院大学)
数学基礎論 (東京学芸大学(非常勤))
情報数理II (東京学芸大学(非常勤))
数学と情報処理 (東京学芸大学(非常勤))
離散データ構造間の類似度設計と機械学習への応用 (東京工業大学(非常勤))
情報処理[12][AB] (学習院大学)
初等情報処理[12] (学習院大学)

Professional Memberships

Research Projects

Exploration of Crystal Surface Structures through Enumeration of Discrete Structures on an Infinite Plane and Similarity Design

Grants-in-Aid for Scientific Research, Grant-in-Aid for Scientific Research (B), Japan Society for the Promotion of Science, 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

科学研究費助成事業基盤研究(C), 基盤研究(C), 日本学術振興会, Apr, 2022 - Mar, 2026

宮原哲浩, 内田智之, 久保山哲二, 廣渡栄寿
A Method for Analyzing Collective Behavior Based on Structuring Topics on Large-Scale SNS

Grants-in-Aid for Scientific Research Grant-in-Aid for Scientific Research (B), Grant-in-Aid for Scientific Research (B), Japan Society for the Promotion of Science, Apr, 2021 - Mar, 2026
New Problem Formulation on Next Generation Informatics and Researches on thier Algorithms

Grants-in-Aid for Scientific Research Grant-in-Aid for Transformative Research Areas (A), Grant-in-Aid for Transformative Research Areas (A), Japan Society for the Promotion of Science, 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

科学研究費助成事業挑戦的研究(開拓), 挑戦的研究(開拓), 日本学術振興会, Jul, 2020 - Mar, 2024

野中尚人, 久保山哲二, 狩野芳伸, 三輪洋文
Efficient Text Big Data Mining Technology via Structure Extraction

Grants-in-Aid for Scientific Research Grant-in-Aid for Scientific Research (A), Grant-in-Aid for Scientific Research (A), Japan Society for the Promotion of Science, Apr, 2019 - Mar, 2024
Figure and ground approaches for scalable biclustering and their applications

Grants-in-Aid for Scientific Research Grant-in-Aid for Scientific Research (C), Grant-in-Aid for Scientific Research (C), Japan Society for the Promotion of Science, Apr, 2019 - Mar, 2023
Topic Transition Analysis from Millions of Tweets After Severe Disasters

Grants-in-Aid for Scientific Research Grant-in-Aid for Scientific Research (C), Grant-in-Aid for Scientific Research (C), Japan Society for the Promotion of Science, Apr, 2018 - Mar, 2021
Construction of Machine Learning Computing Base and Creation of Remarkable Contributions in Multiple Research Fields

Grants-in-Aid for Scientific Research Grant-in-Aid for Scientific Research (A), Grant-in-Aid for Scientific Research (A), Japan Society for the Promotion of Science, Apr, 2017 - Mar, 2021

Shin Kilho
Properties of Weakly Closed Itemsets and their Application to Knowledge Discovery

Grants-in-Aid for Scientific Research Grant-in-Aid for Scientific Research (B), Grant-in-Aid for Scientific Research (B), Japan Society for the Promotion of Science, Apr, 2017 - Mar, 2020

Yamamoto Akihiro
Foundations of knowledge synthesis based on selection of concept and creation of pivots for high-dimensional feature space

Grants-in-Aid for Scientific Research Grant-in-Aid for Scientific Research (B), Grant-in-Aid for Scientific Research (B), Japan Society for the Promotion of Science, Apr, 2016 - Mar, 2020

Hirata Kouichi
Discovery of Deep Knowledge from Graph-Structured Data using Expressive Graph-Structured Patterns

Grants-in-Aid for Scientific Research Grant-in-Aid for Scientific Research (C), Grant-in-Aid for Scientific Research (C), Japan Society for the Promotion of Science, Apr, 2015 - Mar, 2019

MIYAHARA Tetsuhiro
Time Series Topic Extraction from Millions of Tweets after the East Japan Great Earthquake Considering Author's Role

Grants-in-Aid for Scientific Research Grant-in-Aid for Scientific Research (C), Grant-in-Aid for Scientific Research (C), Japan Society for the Promotion of Science, Apr, 2015 - Mar, 2018

HASHIMOTO TAKAKO
Systematic studies on de-anonymization attacks and their countermeasures

Grants-in-Aid for Scientific Research Grant-in-Aid for Scientific Research (C), Grant-in-Aid for Scientific Research (C), Japan Society for the Promotion of Science, Apr, 2014 - Mar, 2018

Yoshiura Hiroshi
Knowledge Discovery Methods based on Closed Set Construction for Data with Attributes Whose Values are from Ordered Sets

Grants-in-Aid for Scientific Research Grant-in-Aid for Scientific Research (B), Grant-in-Aid for Scientific Research (B), Japan Society for the Promotion of Science, Apr, 2014 - Mar, 2017

Yamamoto Akihiro, AVIS David, KOBAYASHI Yasuaki, IKEDA Madori, OTAKI Keisuke, KARIYAMA Kazuaki, YAMAZAKI Tomoya, NISHIMURA Shoichi
Finding new mathematical knot theory using data compression

Grants-in-Aid for Scientific Research Grant-in-Aid for Challenging Exploratory Research, Grant-in-Aid for Challenging Exploratory Research, Japan Society for the Promotion of Science, Apr, 2014 - Mar, 2017

Sakamoto Hiroshi
The theory of filter based feature selection and high-performance algorithms

Grants-in-Aid for Scientific Research Grant-in-Aid for Scientific Research (B), Grant-in-Aid for Scientific Research (B), Japan Society for the Promotion of Science, 2014 - 2016

Kuboyama Tetsuji
Compressed Mining: exposing hidden knowledge in large-scale data

Grants-in-Aid for Scientific Research Grant-in-Aid for Young Scientists (A), Grant-in-Aid for Young Scientists (A), Japan Society for the Promotion of Science, Apr, 2011 - Mar, 2015

SAKAMOTO Hiroshi, KUBOYAMA Tetsuji
Foundations of knowledge discovery based on embedding and dimension reduction in high-dimensional feature space

Grants-in-Aid for Scientific Research Grant-in-Aid for Scientific Research (B), Grant-in-Aid for Scientific Research (B), Japan Society for the Promotion of Science, 2012 - 2015

Hirata Kouchi, SHINOHARA Takeshi, KUBOYAMA Tetsuji
Reputation Analysis related to the East Japan Great Earthquake by Cross Media Analysis

Grants-in-Aid for Scientific Research Grant-in-Aid for Scientific Research (C), Grant-in-Aid for Scientific Research (C), Japan Society for the Promotion of Science, 2012 - 2014

HASHIMOTO Takako, SHIROTA Yukari, KUBOYAMA Tetsuji, CHAKRABORTY Basabi

Profile Information

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Awards

Papers

Misc.

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