Tetsuji Kuboyama

Profile Information

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

115

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
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), 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
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
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), 1192-1197, 2020 Peer-reviewed
Pivot Selection for Narrow Sketches by Optimization Algorithms.

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

Similarity Search and Applications - 13th International Conference(SISAP), 33-46, 2020 Peer-reviewed
Predictive Nonlinear Modeling by Koopman Mode Decomposition.

Akira Kusaba, Kilho Shin, Dave Shepard 0001, Tetsuji Kuboyama

20th International Conference on Data Mining Workshops, 811-819, 2020
Indonesian Gender Equality Survey Analysis Using Feature Selection Based Clustering.

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

11th International Conference on Awareness Science and Technology(iCAST), 1-6, 2020
Unsupervised Feature Value Selection Based on Explainability.

Kilho Shin, Kenta Okumoto, David Lawrence Shepard, Akira Kusaba, Takako Hashimoto, Jorge Amari, Keisuke Murota, Junnosuke Takai, Tetsuji Kuboyama, Hiroaki Ohshima

Agents and Artificial Intelligence, 421-444, 2020
Unsupervised Rumor Detection on Twitter using Topic Homogeneity.

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

Digital Humanities 2020, 2020 Peer-reviewed
Guest Editorial: Special issue on Discovery Science.

Takuya Kida, Tetsuji Kuboyama, Takeaki Uno, Akihiro Yamamoto

Mach. Learn., 109(6) 1145-1146, 2020
Time Series Electricity Consumption Analysis using Non-negative Matrix Factorization

Akira Kusaba, Tetsuji Kuboyama, Takako Hashimoto

Proceedings of the 10th International Conference on Awareness Science and Technology (iCAST 2019), 1-6, Oct 23, 2019 Peer-reviewed
Annealing by increasing resampling in the unified view of simulated annealing

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

ICPRAM 2019 - Proceedings of the 8th International Conference on Pattern Recognition Applications and Methods, 173-180, 2019
Fast Filtering for Nearest Neighbor Search by Sketch Enumeration Without Using Matching

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

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 11919 LNAI 240-252, 2019
Bipartite Edge Correlation Clustering: Finding an Edge Biclique Partition from a Bipartite Graph with Minimum Disagreement.

Mikio Mizukami, Kouichi Hirata, Tetsuji Kuboyama

Proceedings of the 8th International Conference on Pattern Recognition Applications and Methods(ICPRAM), 699-706, 2019
Annealing by Increasing Resampling in the Unified View of Simulated Annealing.

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

Proceedings of the 8th International Conference on Pattern Recognition Applications and Methods(ICPRAM), 173-180, 2019
Annealing by Increasing Resampling.

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

Pattern Recognition Applications and Methods - 8th International Conference, 71-92, 2019
Fast Filtering for Nearest Neighbor Search by Sketch Enumeration Without Using Matching.

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

AI 2019: Advances in Artificial Intelligence - 32nd Australasian Joint Conference, 240-252, 2019
Time Series Topic Transition Based on Micro-Clustering.

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

IEEE International Conference on Big Data and Smart Computing, BigComp 2019, Kyoto, Japan, February 27 - March 2, 2019, 1-8, 2019 Peer-reviewed
Topic life cycle extraction from big Twitter data based on community detection in bipartite networks

Takako Hashimoto, Hiroshi Okamoto, Tetsuji Kuboyama, Kilho Shin

Proceedings - 2017 IEEE International Conference on Big Data, Big Data 2017, 2018- 2740-2745, Jan 12, 2018 Peer-reviewed
Acquisition of characteristic sets of block preserving outerplanar graph patterns by a two-stage evolutionary learning method for graph pattern sets.

Fumiya Tokuhara, Tetsuhiro Miyahara, Tetsuji Kuboyama, Yusuke Suzuki, Tomoyuki Uchida

IJCIStudies, 7(3/4) 270-288, 2018 Peer-reviewed
Nearest Neighbor Search using Sketches as Quantized Images of Dimension Reduction.

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

Proceedings of the 7th International Conference on Pattern Recognition Applications and Methods, ICPRAM 2018, Funchal, Madeira - Portugal, January 16-18, 2018., 356-363, 2018 Peer-reviewed
Aggregative context-aware fitness functions based on feature selection for evolutionary learning of characteristic graph patterns.

Fumiya Tokuhara, Array, Tetsuji Kuboyama, Yusuke Suzuki, Tomoyuki Uchida

Vietnam J. Computer Science, 5(3-4) 229-239, 2018 Peer-reviewed
Acquisition of multiple block preserving outerplanar graph patterns by an evolutionary method for graph pattern sets

Fumiya Tokuhara, Tetsuhiro Miyahara, Tetsuji Kuboyama, Yusuke Suzuki, Tomoyuki Uchida

2017 IEEE 10th International Workshop on Computational Intelligence and Applications, IWCIA 2017 - Proceedings, 2017- 191-197, Dec 13, 2017 Peer-reviewed
sCwc/sLcc: Highly scalable feature selection algorithms

Kilho Shin, Tetsuji Kuboyama, Takako Hashimoto, Dave Shepard

Information (Switzerland), 8(4) 159, Dec 6, 2017 Peer-reviewed
Acquisition of Multiple Graph Structured Patterns by an Evolutionary Method Using Sets of TTSP Graph Patterns as Individuals

Yuuki Yamagata, Tetsuhiro Miyahara, Yusuke Suzuki, Tomoyuki Uchida, Fumiya Tokuhara, Tetsuji Kuboyama

Proceedings - 2017 6th IIAI International Congress on Advanced Applied Informatics, IIAI-AAI 2017, 459-464, Nov 15, 2017 Peer-reviewed
Pivot Selection for Dimension Reduction using Annealing by Increasing Resampling.

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

Lernen, Wissen, Daten, Analysen (LWDA) Conference Proceedings, Rostock, Germany, September 11-13, 2017., 15, 2017 Peer-reviewed
Multiple alignments of data objects and generalized center star algorithm

Kilho Shin, Tetsuji Kuboyama, Tetsuhiro Miyahara, Kenji Tanaka

Frontiers in Artificial Intelligence and Applications, 299 35-45, 2017 Peer-reviewed
Topic Extraction from Millions of Tweets Based on Community Detection in Bipartite Networks.

Takako Hashimoto, Tetsuji Kuboyama, Hiroshi Okamoto, Kilho Shin

Information Modelling and Knowledge Bases XXIX, 27th International Conference on Information Modelling and Knowledge Bases (EJC 2017), Krabi, Thailand, June 5-9, 2017., 395-408, 2017 Peer-reviewed
Topic extraction on twitter considering author’s role based on bipartite networks

Takako Hashimoto, Tetsuji Kuboyama, Hiroshi Okamoto, Kilho Shin

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 10558 239-247, 2017 Peer-reviewed
Missionaries, Politicians, and Boy Bands: Onlooker Behavior on Twitter During the Nepal, Kumamoto, and Ecuador Earthquakes.

David Lawrence Shepard, Takako Hashimoto, Hiroshi Okamoto, Tetsuji Kuboyama, Kilho Shin

Digital Humanities 2017, DH 2017, Conference Abstracts, McGill University & Université de Montréal, Montréal, Canada, August 8-11, 2017, 2017 Peer-reviewed
A Context-Aware Fitness Function Based on Feature Selection for Evolutionary Learning of Characteristic Graph Patterns

Fumiya Tokuhara, Tetsuhiro Miyahara, Tetsuji Kuboyama, Yusuke Suzuki, Tomoyuki Uchida

INTELLIGENT INFORMATION AND DATABASE SYSTEMS, ACIIDS 2017, PT I, 10191 748-757, 2017 Peer-reviewed
Acquisition of Characteristic Block Preserving Outerplanar Graph Patterns by Genetic Programming using Label Information

Fumiya Tokuhara, Tetsuhiro Miyahara, Yusuke Suzuki, Tomoyuki Uchida, Tetsuji Kuboyama

PROCEEDINGS 2016 5TH IIAI INTERNATIONAL CONGRESS ON ADVANCED APPLIED INFORMATICS IIAI-AAI 2016, 203-210, 2016 Peer-reviewed
Fast hilbert sort algorithm without using hilbert indices

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), 9939 259-267, 2016 Peer-reviewed
Topic Extraction Method from Millions of Tweets based on Fast Feature Selection Technique CWC

Takako Hashimoto, Dave Shepard, Tetsuji Kuboyama, Kilho Shin

2016 IEEE 16TH INTERNATIONAL CONFERENCE ON DATA MINING WORKSHOPS (ICDMW), 724-731, 2016 Peer-reviewed
Breaking Anonymity of Social Network Accounts by Using Coordinated and Extensible Classifiers Based on Machine Learning

Eina Hashimoto, Masatsugu Ichino, Tetsuji Kuboyama, Isao Echizen, Hiroshi Yoshiura

SOCIAL MEDIA: THE GOOD, THE BAD, AND THE UGLY, 9844 455-470, 2016 Peer-reviewed
What Do Boy Bands Tell Us About Disasters? The Social Media Response to the Nepal Earthquake.

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

Digital Humanities 2016, DH 2016, Conference Abstracts, Jagiellonian University & Pedagogical University, Krakow, Poland, July 11-16, 2016, 361-364, 2016 Peer-reviewed
Using Canonical Representations of Block Tree Patterns in Acquisition of Characteristic Block Preserving Outerplanar Graph Patterns

Fumiya Tokuhara, Tetsuhiro Miyahara, Yusuke Suzuki, Tomoyuki Uchida, Tetsuji Kuboyama

2016 IEEE 9TH INTERNATIONAL WORKSHOP ON COMPUTATIONAL INTELLIGENCE AND APPLICATIONS (IWCIA), 93-99, 2016 Peer-reviewed
Central Point Selection in Dimension Reduction Projection Simple-Map with Binary Quantization

Quming Jin, Masaya Nakashima, Takeshi Shinohara, Kouichi Hirata, Tetsuji Kuboyama

NEW FRONTIERS IN ARTIFICIAL INTELLIGENCE, JSAI-ISAI 2014, 9067 310-316, 2015 Peer-reviewed
Workshop on Graph-Based Algorithms for Big Data and Its Applications (GABA2014)

Yoshinobu Kawahara, Tetsuji Kuboyama, Hiroshi Sakamoto

NEW FRONTIERS IN ARTIFICIAL INTELLIGENCE, JSAI-ISAI 2014, 9067 293-295, 2015 Peer-reviewed
High Dimensional Similarity Search with Bundled Query Processing on Hilbert R-Tree.

Yohei Nasu, Naoki Kishikawa, Kei Tashima, Shin Kodama, Yasunobu Imamura, Takeshi Shinohara, Kouichi Hirata, Tetsuji Kuboyama

ICPRAM 2015 - Proceedings of the International Conference on Pattern Recognition Applications and Methods, Volume 1, Lisbon, Portugal, 10-12 January, 2015., 354-359, 2015 Peer-reviewed
Classifying Nucleotide Sequences and their Positions of Influenza A Viruses through Several Kernels.

Issei Hamada, Takaharu Shimada, Daiki Nakata, Kouichi Hirata, Tetsuji Kuboyama

ICPRAM 2015 - Proceedings of the International Conference on Pattern Recognition Applications and Methods, Volume 1, Lisbon, Portugal, 10-12 January, 2015., 342-347, 2015 Peer-reviewed
Event Detection from Millions of Tweets related to the Great East Japan Earthquake using Feature Selection Technique

Takako Hashimoto, Dave Shepard, Tetsuji Kuboyama, Kilho Shin

2015 IEEE International Conference on Data Mining Workshop (ICDMW), 7-12, 2015 Peer-reviewed
Tree PCA for Extracting Dominant Substructures from Labeled Rooted Trees

Tomoya Yamazaki, Akihiro Yamamoto, Tetsuji Kuboyama

DISCOVERY SCIENCE, DS 2015, 9356 316-323, 2015 Peer-reviewed
Super-CWC and Super-LCC: Super Fast Feature Selection Algorithms

Kilho Shin, Tetsuji Kuboyama, Takako Hashimoto, Dave Shepard

PROCEEDINGS 2015 IEEE INTERNATIONAL CONFERENCE ON BIG DATA, 61-67, 2015 Peer-reviewed

Misc.

132

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)), 2022
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) 260-267, Dec 4, 2021 Peer-reviewed
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
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
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
Fast Nearest Neighbor Search with Narrow 16-bit Sketch

情報処理学会論文誌数理モデル化と応用（TOM）, 13(1) 13-22, Mar 25, 2020 Peer-reviewed
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
<研究報告>アジア通貨危機時の経済行動における不確実性の検証：解説

白田由香利, 橋本隆子, 佐倉環, 久保山哲二

学習院大学計算機センター年報, 36 10-16, Jan 1, 2015
<研究報告>学内文書のペーパーレス化に向けた調査研究

久保山哲二, 磯上貞雄, 城所弘泰, 村上登志男, 申吉浩

学習院大学計算機センター年報, 36 77-80, Jan 1, 2015
Criteria for Feature Selection

久保山哲二, 申吉浩

人工知能基本問題研究会, 94 16-20, Jul 24, 2014
<研究報告>無線LANの利用パターン分析

久保山哲二, 磯上貞雄, 城所弘泰, 村上登志男, 佐藤真

学習院大学計算機センター年報, 35 71-77, Jul 1, 2014
<研究報告>政治における不正の統計的探知 : 解説

福元健太郎, 久保山哲二

学習院大学計算機センター年報, 35 14-17, Jul 1, 2014
A Theory of Feature Selection Measures

申吉浩, 久保山哲二

人工知能基本問題研究会, 93 7-12, Mar 7, 2014
D-20-3 Discriminating User Behavior By Network Analyzing

Suzuki Kazuhiro, Kuboyama Tetsuji, Yasuda Hiroshi

Proceedings of the IEICE General Conference, 2014(2) 187-187, Mar 4, 2014
Feature Selection based on Distribution Distances (特集「機械学習とその周辺情報分野における離散問題と高速アルゴリズム」および一般)

Shin Kilho, Kuboyama Tetsuji

人工知能基本問題研究会, 92 85-88, Jan 30, 2014
A path searching method for the backward elimination feature selection (特集「機械学習と自然言語処理への応用」および一般)

Shin Kilho, Kuboyama Tetsuji

人工知能基本問題研究会, 91 13-18, Nov 28, 2013
Detecting New Concepts in Social Media based on Co-burst Pattern Mining

橋本隆子, Shepard David, 久保山哲二

人工知能基本問題研究会, 91 47-52, Nov 28, 2013
キャンパス内の無線LAN利用動向分析

佐藤真, 村上登志男, 磯上貞雄, 城所弘泰, 久保山哲二

情報処理学会研究報告. IOT, [インターネットと運用技術], 2013(3) 1-5, Jul 25, 2013
Temporal Awareness of Needs after East Japan Great Earthquake based on Latent Semantic Analysis and Pattern Similarity (特集「諸分野における知的情報処理技術の動向」および一般)

Hashimoto Takako, Kuboyama Tetsuji, Chakaborty Basabi

人工知能基本問題研究会, 90 53-58, Jul 18, 2013
<研究報告>インターネット上の口コミサイトにおける化粧品の評判分析

白田由香利, 橋本隆子, 久保山哲二

学習院大学計算機センター年報, 33 2-7, Jul, 2013
<研究報告>学内Web サイトログからの閲覧者の行動分析

久保山哲二, 磯上貞雄, 城所弘泰, 村上登志男

学習院大学計算機センター年報, 33 157-167, Jul, 2013
<研究報告>公共入札データの情報処理 : 解説

福元健太郎, 久保山哲二

学習院大学計算機センター年報, 34 16-22, Jul, 2013
<研究報告>ミルナー不変量計算のための非可換多項式処理

久保山哲二, 安原晃, 磯上貞雄, 城所弘泰, 村上登志男

学習院大学計算機センター年報, 34 97-100, Jul, 2013
<研究報告>ミルナー不変量計算のための非可換多項式処理

久保山哲二, 安原晃, 磯上貞雄, 城所弘泰, 村上登志男

学習院大学計算機センター年報, 34 97-100, Jul, 2013
D-9-48 An Analysis of PC Operation Logs by Functionality Clustering of Networks

Suzuki Kazuhiro, Tetsuji Kuboyama, Yasuda Hiroshi

Proceedings of the IEICE General Conference, 2013(1) 146-146, Mar 5, 2013
Keyword extraction using fast feature selection algorithm CWC

猪口紗貴, 久保山哲二, 申吉浩

人工知能基本問題研究会, 89 49-54, Feb 28, 2013
An Analysis of PC Operation Logs by Functionality Clustering of Networks

鈴木一寛, 久保山哲二, 安田浩

人工知能基本問題研究会, 89 55-60, Feb 28, 2013
On selection of tree kernels

申吉浩, 久保山哲二

人工知能基本問題研究会, 89 61-66, Feb 28, 2013
A Tool of Analyzing Knot Theory : Automatic Generation of Expression from Handwriting Free Curves

高岡拓真, 久保山哲二, 坂本比呂志

人工知能基本問題研究会, 88 71-75, Jan 24, 2013
A Tool for analyzing Knot Theory : Extraction of Milnor Invariant by Grammar Compression

高畠嘉将, 坂本比呂志, 久保山哲二

人工知能基本問題研究会, 88 77-80, Jan 24, 2013
Feature selection using a reduction to the set cover problem

久保山哲二, 申吉浩

人工知能基本問題研究会, 88 81-84, Jan 24, 2013
Exploring Community Mapping from Buzz Marketing Site

樋口鐘一, 橋本隆子, 久保山哲二

人工知能基本問題研究会, 88 133-138, Jan 24, 2013
A new consistency-based feature selection algorithm (特集「Webと知識連携・統合,発想支援」および一般)

申吉浩, 久保山哲二

人工知能基本問題研究会, 86 1-6, Aug 9, 2012
Layered graph extracted from the large-scale community

松本美玲, 山抱由依, 久保山哲二

人工知能基本問題研究会, 86 67-69, Aug 9, 2012
D-9-23 USER BEHAVIOR ANALYSIS USING ACTIVE WINDOW TRANSITION LOGS

Oshiro Kazuhiro, Kuboyama Tetsuji, Yasuda Hiroshi

Proceedings of the IEICE General Conference, 2012(1) 155-155, Mar 6, 2012

Teaching Experience

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)
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

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), 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), 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), 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), 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), 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), 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), Japan Society for the Promotion of Science, Apr, 2017 - Mar, 2021
弱閉集合の代数的構造の解明と知識発見への応用

科学研究費助成事業基盤研究(B), 日本学術振興会, Apr, 2017 - Mar, 2020

山本章博, 小林靖明, 久保山哲二
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), 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), 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), 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), 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), 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, 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), 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), 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), 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), Japan Society for the Promotion of Science, 2012 - 2014

HASHIMOTO Takako, SHIROTA Yukari, KUBOYAMA Tetsuji, CHAKRABORTY Basabi
離散データ構造に対するカーネルの設計理論の構築

科学研究費補助金(基盤研究(B)), 文部科学省, 2011 - 2013

申吉浩, 有村博紀, 坂本比呂志, 久保山哲二, 岡本洋, CUTURI Marco
Can data compression algorithm do abstraction?

Grants-in-Aid for Scientific Research Grant-in-Aid for Challenging Exploratory Research, Japan Society for the Promotion of Science, 2011 - 2013

SAKAMOTO Hiroshi, KUBOYAMA Tetsuji
Analyzing bids on public projects based on knowledge discovery from discrete data structures

Grants-in-Aid for Scientific Research Grant-in-Aid for Scientific Research (C), Japan Society for the Promotion of Science, 2011 - 2013

KUBOYAMA Tetsuji, FUKUMOTO Kentaro
Effective Discovery of Hidden Structured Knowledge using Data Mining and Machine Learning

Grants-in-Aid for Scientific Research(基盤研究(C)), Ministry of Education, Culture, Sports, Science and Technology, 2010 - 2012

Tetsuhiro MIYAHARA, Tomoyuki UCHIDA, Eiju HIROWATARI, Tetsuji KUBOYAMA
Design of the fast computable similarities for tree-structured data and their extension to several discrete structures

Grants-in-Aid for Scientific Research(基盤研究(C)), Ministry of Education, Culture, Sports, Science and Technology, 2009 - 2011

Kouichi HIRATA, Tetsuji KUBOYAMA
Designing similarity measures for discrete data structures, and their applications to machine learning

Grants-in-Aid for Scientific Research(基盤研究(C)), Ministry of Education, Culture, Sports, Science and Technology, 2008 - 2010

Tetsuji KUBOYAMA
Information Fusion from Semi-structured Data using Data Mining and Machine Learning

Grants-in-Aid for Scientific Research(基盤研究(C)), Ministry of Education, Culture, Sports, Science and Technology, 2007 - 2009

Tetsuhiro MIYAHARA, 廣渡栄寿, Tomoyuki UCHIDA, Tetsuji KUBOYAMA, Eiju HIROWATARI
木の編集距離による近似パタン発見と半構造データからの情報抽出

科学研究費補助金(若手研究(B)), 文部科学省, 2005 - 2007

久保山哲二
機械学習手法による半構造データマイニングと情報抽出

科学研究費補助金(特定領域研究), 文部科学省, 2004 - 2005

宮原哲浩, 内田智之, 平田耕一, 久保山哲二
Discovery Knowledge and Data Mining from Structured Data

Grants-in-Aid for Scientific Research(基盤研究(C)), Ministry of Education, Culture, Sports, Science and Technology, 2001 - 2003

Tetsuhiro MIYAHARA, Tetsuji KUBOYAMA, Takayoshi SHOUDAI, Tomoyuki UCHIDA
離散構造のパターン照合・機械学習

2003
情報セキュリティ

2002
Pattern Matching between discrete structures, Machine Learning

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