Updated on 2026/04/22

写真a

 
Kusunoki Yoshifumi
 
Organization
Graduate School of Informatics Department of Interdisciplinary Informatics Lecturer
College of Sustainable System Sciences Department of Knowledge and Information Systems
Title
Lecturer
Affiliation
Institute of Informatics

Position

  • Graduate School of Informatics Department of Interdisciplinary Informatics 

    Lecturer  2022.04 - Now

  • College of Sustainable System Sciences Department of Knowledge and Information Systems 

    Lecturer  2022.04 - Now

Degree

  • 博士（工学） （ Osaka University ）

  • 修士（工学） （ Osaka University ）

  • 学士（工学） （ Osaka University ）

Research Areas

  • Informatics / Soft computing

Research Interests

  • ラフ集合理論

  • clustering

  • data mining

  • mathematical programming

  • machine learning

Research subject summary

  • 数理計画法を用いたデータ分析

  • 最適化アルゴリズム

  • ラフ集合理論に基づくデータ分析

  • 協力ゲーム理論

Professional Memberships

  • 計測自動制御学会

    2015.08 - Now   Domestic

  • システム制御情報学会

    2010.04 - Now   Domestic

  • 日本知能情報ファジィ学会

    2010.04 - Now   Domestic

  • 日本オペレーションズ・リサーチ学会

    2010.04 - Now   Domestic

Job Career (off-campus)

  • 大阪公立大学   情報学研究科 学際情報学専攻

    2022.04 - Now

  • Osaka Prefecture University

    2020.04 - 2022.03

  • Osaka University

    2010.04 - 2020.03

Papers

  • An Additive Spline Classification Model by Minimizing Derivatives Reviewed

    Tatsumasa Sakai, Yoshifumi Kusunoki, Tomaharu Nakashima

    Thirty-first International Symposium on Artificial Life and Robotics 2026 (AROB 31st 2026), Eleventh International Symposium on BioComplexity 2026 (ISBC 11th 2026)   312 - 317   2026.01

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    Publishing type：Research paper (international conference proceedings)  

  • A Study on the Explainability of SIRMs Fuzzy Classifiers with Data-Driven Module Structures Reviewed

    Yuki Yamasaki, Yoshifumi Kusunoki, Tomaharu Nakashima

    Thirty-first International Symposium on Artificial Life and Robotics 2026 (AROB 31st 2026), Eleventh International Symposium on BioComplexity 2026 (ISBC 11th 2026)   716 - 721   2026.01

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    Publishing type：Research paper (international conference proceedings)  

  • Comparative Study on Location Estimation in Mini 4WD AI Reviewed

    Kotaro Tanaka, Tomoharu Nakashima, Yoshifumi Kusunoki

    Thirty-first International Symposium on Artificial Life and Robotics 2026 (AROB 31st 2026), Eleventh International Symposium on BioComplexity 2026 (ISBC 11th 2026)   265 - 268   2026.01

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    Publishing type：Research paper (international conference proceedings)  

  • Revised Margin-Maximization Method for Nearest Prototype Classifier Learning Reviewed

    Yoshifumi Kusunoki, Tomoharu Nakashima

    Journal of Advanced Computational Intelligence and Intelligent Informatics   29 ( 6 )   1565 - 1576   2025.11（ ISSN:1343-0130 ） （ eISSN:1883-8014 ）

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    Publishing type：Research paper (scientific journal)  

    This paper proposes a revised margin-maximization method for training nearest prototype classifiers (NPCs), which are known as an explainable supervised learning model. The margin-maximization method of our previous study formulates NPC training as a difference-of-convex (DC) programming problem solved via the convex-concave procedure. However, it suffers from issues related to hyperparameter sensitivity and its inability to simultaneously optimize both classification and clustering performances. To overcome these drawbacks, the revised method directly solves the margin-maximization problem using a method of sequential second-order cone programming, without DC programming reduction. Furthermore, it integrates clustering loss from the k -means method into the objective function to enhance prototype placement in dense data regions. We prove that the revised method is a descent algorithm, that is, the objective function decreases in each update of the solution. A numerical study confirms that the revised method addresses the drawbacks of the previous method.

    DOI： 10.20965/jaciii.2025.p1565

    CiNii Research

  • Generation of Seating Detection Indicators Using Evolutionary Computation in Self-Locking Nut Tightening Reviewed

    NAKASHIMA Tomoharu, SHIMODA Moeki, YUTANI Kensuke, KUSUNOKI Yoshifumi, YOSHIMOTO Satoru

    Journal of Japan Society for Fuzzy Theory and Intelligent Informatics   37 ( 4 )   717 - 724   2025.11（ ISSN:13477986 ） （ eISSN:18817203 ）

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    International / domestic magazine：Domestic journal  

    <p>An automatic seating detection system is developed for an automatic hand nut runner that tightens self-locking nuts. Our research is of particular significance in the field of aircraft assembly, where the use of special self-locking nuts is common. This nut has a different shape from commonly used nuts and does not loosen easily. Therefore, irregular torque values are observed during tightening, making it challenging to detect seating automatically. This paper proposes a method for detecting the seating of self-locking nuts using evolutionary computation techniques. The proposed method is based on anomaly detection by Hotelling. First, sensor values are used to create an indicator, and when the indicator meets a criterion, seating is determined. The indexes used for the judgment are generated by evolutionary computation. Numerical experiments validate the proposed method and demonstrate its practical application.</p>

    DOI： 10.3156/jsoft.37.4_717

    CiNii Research

  • Multi-class support vector machine based on minimization of reciprocal-geometric-margin norms Reviewed

    Yoshifumi Kusunoki, Keiji Tatsumi

    European Journal of Operational Research   324 ( 2 )   580 - 589   2025.04（ ISSN:0377-2217 ）

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    Authorship：Lead author,　Corresponding author   Publishing type：Research paper (scientific journal)   International / domestic magazine：International journal  

    DOI： 10.1016/j.ejor.2025.03.028

  • Development of a database and a user interface to improve the efficiency of the construction cost estimation supervision Reviewed

    KATO Masaharu, NAKASHIMA Tomoharu, KUSUNOKI Yoshifumi

    Journal of Architectural Informatics Society   4 ( 2 )   b1 - b9   2025.02（ eISSN:24363863 ）

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    Publishing type：Research paper (scientific journal)  

    In the field of construction, cost estimation is conducted before the actual construction work. In the cost estimation, the required items for the construction and their quantities are summarized as a document. To validate the document, a supervision process is conducted. However, there is not so much time to perform the accurate validation for all items. Therefore, the workflow depends on the supervision workers' decisions based on past construction trends.
    To solve this problem, we consider the automation of cost estimation supervision by using data from past construction documents. If we can analyze the data and understand the
    relationship between items and their quantities, we can automate the supervision process based on those rules.
    In this study, we prepare a database from the past cost estimation documents and develop an efficiency system for the construction cost estimation supervision.

    DOI： 10.50926/ais.4.2_b

    CiNii Research

  • Modification of Single-Input Rule Modules Fuzzy Models for Multi-Class Classification

    Tomoharu Nakashima, Takumi Matsumoto, Yoshifumi Kusunoki

    The Thirtieth International Symposium on Artificial Life and Robotics 2025 (AROB 30th 2025)   586 - 589   2025.01

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    Publishing type：Research paper (international conference proceedings)  

  • Modification of Single-Input Rule Modules Fuzzy Models for Multi-Class Classification Reviewed

    Tomoharu Nakashima, Takumi Matsumoto, Yoshifumi Kusunoki

    The Thirtieth International Symposium on Artificial Life and Robotics 2025 (AROB 30th 2025)   586 - 589   2025.01

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    Publishing type：Research paper (international conference proceedings)  

  • Generalization of Rough-Set-Based Attribute Reduction by Using Purity Functions Reviewed

    Yoshifumi Kusunoki

    2024 Joint 13th International Conference on Soft Computing and Intelligent Systems and 25th International Symposium on Advanced Intelligent Systems (SCIS&amp;amp;ISIS)   1 - 2   2024.11（ ISBN:9798350373332 ）

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    Publishing type：Research paper (international conference proceedings)  

    DOI： 10.1109/scisisis61014.2024.10760060

  • Development of a Robust Fuzzy $c$-Means Method Through Convex Analysis Reviewed

    Yoshifumi Kusunoki, Tomoharu Nakashima

    2024 Joint 13th International Conference on Soft Computing and Intelligent Systems and 25th International Symposium on Advanced Intelligent Systems (SCIS&amp;amp;ISIS)   1 - 2   2024.11（ ISBN:9798350373332 ）

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    Publishing type：Research paper (international conference proceedings)  

    DOI： 10.1109/scisisis61014.2024.10760110

  • Revised Margin-Maximization Method for Fuzzy Nearest Prototype Classification Reviewed

    Yoshifumi Kusunoki

    Lecture Notes in Computer Science   14986   140 - 151   2024.08（ ISSN:0302-9743 ） （ ISBN:9783031682070, 9783031682087 ） （ eISSN:1611-3349 ）

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    Publishing type：Part of collection (book)  

    DOI： 10.1007/978-3-031-68208-7_12

  • A Study on Multi-Class Online Fuzzy Classifiers for Dynamic Environments

    Kensuke AJIMOTO, Yuma YAMAMOTO, Yoshifumi KUSUNOKI, Tomoharu NAKASHIMA

    2024 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)   1 - 7   2024.06（ ISSN:10987584 ） （ ISBN:9798350319545 ）

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    Publishing type：Research paper (international conference proceedings)  

    DOI： 10.1109/fuzz-ieee60900.2024.10612027

  • A Study on the Localization of a Mini 4WD Car Using Geomagnetic Information and Racetrack Reviewed

    Nakashima T.

    Proceedings International Conference on Machine Learning and Cybernetics   343 - 346   2024（ ISSN:2160133X ） （ ISBN:9798331528041 ）

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    Publishing type：Research paper (international conference proceedings)  

    DOI： 10.1109/ICMLC63072.2024.10935012

  • Revised Optimization Algorithm for Maximum-Margin Nearest Prototype Classifier Reviewed

    Yoshifumi Kusunoki, Tomoharu Nakashima

    The Tenth International Symposium on Integrated Uncertainty in Knowledge Modelling and Decision Making   276 - 280   2023.08

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    Authorship：Lead author   Publishing type：Research paper (international conference proceedings)  

  • A Study on the Linguistic Explanation of Online Classification Mechanism Using Confidence-Weighted Learning Fuzzy Classifiers Reviewed

    AJIMOTO Kensuke, KUSUNOKI Yoshifumi, NAKASHIMA Tomoharu

    Journal of Japan Society for Fuzzy Theory and Intelligent Informatics   35 ( 1 )   552 - 555   2023.02（ ISSN:13477986 ） （ eISSN:18817203 ）

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    Publishing type：Research paper (scientific journal)  

    <p>Fuzzy classifiers can linguistically explain its mechanism while achieving high classification accuracy. In this paper, we aim to explain the classification mechanism in dynamic environments where the classification boundary changes over time. For this purpose, we propose an online updating of fuzzy classifiers by means of Confidence-Weighted Learning. We have confirmed that the model can linguistically explain the classification mechanism in dynamic environments by examining how the weights of the fuzzy If-Then rules change.</p>

    DOI： 10.3156/jsoft.35.1_552

    CiNii Research

  • Linguistic Explanation of Classification Mechanism for Dynamic Problems using Fuzzy Classifiers

    Kensuke AJIMOTO, Yoshifumi KUSUNOKI, Tomoharu NAKASHIMA

    The Twenty-Eighth International Symposium on Artificial Life and Robotics 2023   298 - 301   2023.01

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    Publishing type：Research paper (international conference proceedings)  

  • Maximum-Margin Nearest Prototype Classifiers with the Sum-over-Others Loss Function and a Performance Evaluation Reviewed

    Kusunoki Y.

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)   14376 LNAI   37 - 46   2023（ ISSN:03029743 ） （ ISBN:9783031467806 ）

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    Authorship：Lead author   Publishing type：Research paper (international conference proceedings)  

    DOI： 10.1007/978-3-031-46781-3_4

  • Determination of reinforcement degrees in constructing large-scale structures by using multiclass support vector machines Reviewed

    Keiji Tatsumi, Shunsuke Tsujioka, Ryota Masui, Yoshifumi Kusunoki, Yeboon Yun

    Knowledge-Based Systems   249   108807 - 108807   2022.08（ ISSN:0950-7051 ）

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    Publishing type：Research paper (scientific journal)  

    DOI： 10.1016/j.knosys.2022.108807

  • Introduction of Machine Learning for Handling Missing States in Particle Filter

    Takuya Fukushima, Tomoharu Nakashima, Yoshifumi Kusunoki, Hidehisa Akiyama

    The Twenty-Seventh International Symposium on Artificial Life and Robotics 2022 (AROB 27th 2022)   920 - 924   2022.01

  • CHARACTERIZATION OF SOLUTIONS FOR BICOOPERATIVE GAMES BY USING REPRESENTATION THEORY Reviewed

    Masaki Saito, Yoshifumi Kusunoki

    日本オペレーションズ・リサーチ学会論文誌 雑誌   2022

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    Kind of work：Joint Work  

  • Transductive Learning Based on Low-Rank Representation with Convex Constraints Reviewed

    Yoshifumi Kusunoki, Katsuhiko Kojima, Keiji Tatsumi

    Lecture Notes in Computer Science   291 - 301   2022（ ISSN:0302-9743 ） （ ISBN:9783030980177 ） （ eISSN:1611-3349 ）

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    Authorship：Lead author   Publishing type：Part of collection (book)  

    DOI： 10.1007/978-3-030-98018-4_24

  • Multiclass Support Vector Machines for Determination of Reinforcement Degree in Constructing Large-scale Structures Based on Data Characteristics Reviewed

    Keiji Tatsumi, Ryota Masui, Shunsuke Tsujioka, Yoshifumi Kusunoki, Yeboon Yun

    2021 IEEE International Conference on Systems, Man, and Cybernetics (SMC)   2021.10

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    Publishing type：Research paper (international conference proceedings)  

    DOI： 10.1109/smc52423.2021.9658763

  • Employing a View Field in Autonomous Robots and Optimization of Checkpoint Placement in Area Surveillance

    Yasuhiro Matsuda, Tomoharu Nakashima, Yoshifumi Kusunoki

    2021 60th Annual Conference of the Society of Instrument and Control Engineers of Japan, SICE 2021   27 - 32   2021.09（ ISBN:9784907764739 ）

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    Publishing type：Research paper (international conference proceedings)  

    In area surveillance problems, planning an effective route is important for both of cost and safety. One solution is to transform a surveillance problem to another route planning problem such as a traveling salesman problem or a vehicle routing problem. However, conventional problems are limited in their settings (e.g., route expression), which cause difference between the models and the real world situation. Another solution is to evaluate routes by modeling and simulating the problem environment, for approaching the real world. In this paper, we develop a new simulation environment for surveillance, then propose a route optimization algorithm in the environment.

  • Change detection for area surveillance using a moving camera

    Tatsuhisa Watanabe, Tomoharu Nakashima, Yoshifumi Kusunoki

    Proceedings - European Council for Modelling and Simulation, ECMS   35 ( 1 )   220 - 226   2021.06（ ISSN:2522-2414 ）

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    Publishing type：Research paper (international conference proceedings)  

    This paper tackles area surveillance with a moving camera by change detection. None of the existing datasets for change detection meets a surveillance scenario where a camera is mounted on a moving platform and pointed in the direction of moving. Thus, this paper creates a new dataset including several challenging points. For this dataset, this paper employs a composable method and proposes some components. To evaluate the proposed components, some corresponding classic methods were also tested on the dataset. As a result, the proposals outperformed them. Moreover, this paper investigated the relationship between the parameters of the components and their performance.

  • Empirical Risk Minimization for Dominance-based Rough Set Approaches Reviewed

    Yoshifumi Kusunoki, Jerzy Błaszczyński, Masahiro Inuiguchi, Roman Słowiński

    Information Sciences   567   2021

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    Kind of work：Joint Work  

  • Manifold Learning with Intrinsic Distance Estimation Using Kernelized Linear Model for Metric Tensors Reviewed

    Katsuhiko Kojima, Yoshifumi Kusunoki, Keiji Tatsumi

    2020 IEEE International Conference on Systems, Man, and Cybernetics   2020.10

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    Publishing type：Research paper (international conference proceedings)  

  • Adaptive Stepsize Rule for Consensus Optimization by Supervisory Control Architecture Reviewed

    Yoshifumi Kusunoki, Naoki Hayashi, Takeshi Hatanaka, Keiji Tatsumi

    Transactions of the Institute of Systems, Control and Information Engineers   32 ( 9 )   338 - 348   2019.09（ ISSN:1342-5668 ） （ eISSN:2185-811X ）

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    Authorship：Lead author   Publishing type：Research paper (scientific journal)   Kind of work：Joint Work   International / domestic magazine：Domestic journal  

    DOI： 10.5687/iscie.32.338

  • Scalarization for Approximate Multiobjective Multiclass Support Vector Machine Using the Large-k Norm Reviewed

    Yoshifumi Kusunoki, Keiji Tatsumi

    Proceedings of the 11th Conference of the European Society for Fuzzy Logic and Technology   698 - 705   2019.09

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    Authorship：Lead author   Publishing type：Research paper (international conference proceedings)  

    DOI： 10.2991/eusflat-19.2019.97

  • Refinement of Convergence Analysis for Consensus Optimization Algorithm with Adaptive Stepsize Rule Reviewed

    Yoshifumi Kusunoki, Naoki Hayashi, Takeshi Hatanaka, Keiji Tatsumi

    Proceedings of the SICE Annual Conference 2019   1293 - 1296   2019.09

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  • Interpretation of Variable Consistency Dominance-based Rough Set Approach by Minimization of Asymmetric Loss Function Reviewed International coauthorship

    Yoshifumi Kusunoki, Jerzy Blaszczynski, Masahiro Inuiguchi, Roman Slowinski

    IUKM2019: Integrated Uncertainty in Knowledge Modelling and Decision Making   135 - 145   2019.03

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    Authorship：Lead author   Publishing type：Research paper (international conference proceedings)  

    DOI： 10.1007/978-3-030-14815-7_12

  • Approximate Multiobjective Multiclass Support Vector Machine Restricting Classifier Candidates Based on k-Means Clustering Reviewed

    Keiji Tatsumi, Takahumi Sugimoto, Yoshifumi Kusunoki

    IUKM2019: Integrated Uncertainty in Knowledge Modelling and Decision Making   271 - 283   2019.03

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    Publishing type：Research paper (international conference proceedings)   Kind of work：Joint Work  

    DOI： 10.1007/978-3-030-14815-7_23

  • Approximate Multiobjective Multiclass SVM by Using the Reference Point Method Reviewed

    Yasuhiro Matsugi, Takafumi Sugimoto, Yuxiao Qi, Yoshifumi Kusunoki, Keiji Tatsumi

    2018 IEEE International Conference on Systems, Man, and Cybernetics   3525 - 3530   2018.10

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    Publishing type：Research paper (international conference proceedings)  

  • Axiomatization and Generalization of the Core for Assignment Games on the Complete Graph Reviewed

    Masaki Saito, Yoshifumi Kusunoki

    2018 IEEE International Conference on Systems, Man, and Cybernetics   1593 - 1598   2018.10

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    Publishing type：Research paper (international conference proceedings)  

  • An Experimental Study on Rule Selection in Column-Generation-based Rule Induction Reviewed

    Yoshifumi Kusunoki

    Proceedings of the SICE Annual Conference 2018   1730 - 1733   2018.09

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    Authorship：Lead author   Publishing type：Research paper (international conference proceedings)  

  • Maximum-Margin Model for Nearest Prototype Classifiers Reviewed

    Yoshifumi Kusunoki, Chiharu Wakou, Keiji Tatsumi

    Journal of Advanced Computational Intelligence and Intelligent Informatics   22 ( 4 )   565 - 577   2018.07

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    Authorship：Lead author   Publishing type：Research paper (scientific journal)   International / domestic magazine：International journal  

  • A Multi-class Support Vector Machine Based on Geometric Margin Maximization Reviewed

    Yoshifumi Kusunoki, Keiji Tatsumi

    Lecture Notes in Computer Science   10758   101 - 113   2018.03

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    Authorship：Lead author   Publishing type：Research paper (international conference proceedings)  

    DOI： 10.1007/978-3-319-75429-1_9

  • Investigation on irreducible cost vectors in minimum cost arborescence problems Reviewed

    Yoshifumi Kusunoki, Tetsuzo Tanino

    EUROPEAN JOURNAL OF OPERATIONAL RESEARCH   261 ( 1 )   214 - 221   2017.08

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    Authorship：Lead author   Publishing type：Research paper (scientific journal)   International / domestic magazine：International journal  

  • Learning prototype-based classifiers by margin maximization Reviewed

    Chiharu Wakou, Yoshifumi Kusunoki, Keiji Tatsumi

    2017 Joint 17th World Congress of International Fuzzy Systems Association and 9th International Conference on Soft Computing and Intelligent Systems (IFSA-SCIS)   2017.06

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    Publishing type：Research paper (international conference proceedings)  

  • Empirical Risk Minimization for Variable Consistency Dominance-Based Rough Set Approach Reviewed International coauthorship

    Jerzy Blaszczynski, Yoshifumi Kusunoki, Masahiro Inuiguchi, Roman Slowinski

    ROUGH SETS, FUZZY SETS, DATA MINING, AND GRANULAR COMPUTING, RSFDGRC 2015   63 - 72   2015.11

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    Publishing type：Research paper (international conference proceedings)  

  • A Cost Allocation Rule for Minimum Cost Arborescence Problems Reviewed

    Masahiro Noda, Yoshifumi Kusunoki, Tetsuzo Tanino

    Proceedings of the 8th International Conference on Nonlinear Analysis and Convex Analysis   385 - 400   2015.01

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    Publishing type：Research paper (international conference proceedings)  

  • Cooperative Games with Fuzzy Permission Structures Reviewed

    Seiki Yamamura, Yoshifumi Kusunoki, Tetsuzo Tanino

    Proceedings of the 8th International Conference on Nonlinear Analysis and Convex Analysis   523 - 539   2015.01

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    Publishing type：Research paper (international conference proceedings)  

  • Structure-Based Attribute Reduction: A Rough Set Approach Reviewed

    Yoshifumi Kusunoki, Masahiro Inuiguchi

    Studies in Computational Intelligence   113 - 160   2014.12

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    Authorship：Lead author   Publishing type：Part of collection (book)  

  • Boolean Kernels and Clustering with Pairwise Constraints Reviewed

    Yoshifumi Kusunoki, Tetsuzo Tanino

    2014 IEEE INTERNATIONAL CONFERENCE ON GRANULAR COMPUTING (GRC)   141 - 146   2014.10

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    Authorship：Lead author   Publishing type：Research paper (international conference proceedings)  

  • Minimum Cost Spanning Tree Problems with Restrictions on Coalitions Reviewed

    Kanako Sato, Yoshifumi Kusunoki, Tetsuzo Tanino

    Proceedings of the 3rd International Conference on Nonlinear Analysis and Optimization   287 - 302   2014.01

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    Publishing type：Research paper (international conference proceedings)  

  • Specific-to-general Approach for Rule Induction Using Discernibility Based Dissimilarity Reviewed

    Yoshifumi Kusunoki, Tetsuzo Tanino

    2013 IEEE INTERNATIONAL CONFERENCE ON GRANULAR COMPUTING (GRC)   178 - 181   2013.12

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    Authorship：Lead author   Publishing type：Research paper (international conference proceedings)  

  • Empirical Risk Minimization for Variable Precision Dominance-Based Rough Set Approach Reviewed International coauthorship

    Yoshifumi Kusunoki, Jerzy Blaszczynski, Masahiro Inuiguchi, Roman Slowinski

    ROUGH SETS AND KNOWLEDGE TECHNOLOGY: 8TH INTERNATIONAL CONFERENCE   133 - 144   2013.10

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    Authorship：Lead author   Publishing type：Research paper (international conference proceedings)  

  • Kruskal type non-cooperative games for minimum cost spanning tree problems Reviewed

    Yoshifumi Kusunoki, Yuito Nakai, Tetsuzo Tanino

    Proceedings of the 7th International Conference on Nonlinear Analysis and Convex Analysis   299 - 311   2013.01

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    Publishing type：Research paper (international conference proceedings)  

  • Agglomerative hierarchical clustering with dissimilarity using discernibility on attribute subsets for nominal data sets Reviewed

    Yoshifumi Kusunoki, Tetsuzo Tanino

    Proceedings - 2011 IEEE International Conference on Granular Computing, GrC 2011   357 - 362   2011.11

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    Authorship：Lead author   Publishing type：Research paper (international conference proceedings)  

  • LEM2-Based Rule Induction from Data Tables with Imprecise Evaluations Reviewed

    Masahiro Inuiguchi, Masahiko Tsuji, Yoshifumi Kusunoki, Masayo Tsurumi

    ROUGH SETS AND KNOWLEDGE TECHNOLOGY   201 - 207   2011.10

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    Publishing type：Research paper (international conference proceedings)  

  • Rule Induction Considering Implication Relations Between Conclusions Reviewed

    Masahiro Inuiguchi, Yoshifumi Kusunoki, Masanori Inoue

    Industrial Engineering & Management Systems: An International Journal   10 ( 1 )   65 - 73   2011.03

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    Publishing type：Research paper (scientific journal)   International / domestic magazine：International journal  

  • Variable Precision Rough Set Model in Information Tables with Missing Values Reviewed

    Yoshifumi Kusunoki, Masahiro Inuiguchi

    Journal of Advanced Computational Intelligence and Intelligent Informatics   15 ( 1 )   110 - 116   2011.01

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    Authorship：Lead author   Publishing type：Research paper (scientific journal)   International / domestic magazine：International journal  

  • Numerical experiments for rule induction approaches considering ordinal classes Reviewed

    Yoshifumi Kusunoki, Masahiro Inuiguchi, Tetsuzo Tanino

    SCIS and ISIS 2010 - Joint 5th International Conference on Soft Computing and Intelligent Systems and 11th International Symposium on Advanced Intelligent Systems   1486 - 1491   2010.12

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    Authorship：Lead author   Publishing type：Research paper (international conference proceedings)  

  • Non-hierarchical clustering of decision tables toward rough set-based group decision aid Reviewed

    Masahiro Inuiguchi, Ryuta Enomoto, Yoshifumi Kusunoki

    Lecture Notes in Computer Science   6408   195 - 206   2010.10

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    Publishing type：Research paper (international conference proceedings)  

  • Rule induction from information tables with ordinal decision attributes Reviewed

    Yoshifumi Kusunoki, Masahiro Inuiguchi, Masanori Inoue, Tetsuzo Tanino

    Proceedings - 2010 IEEE International Conference on Granular Computing, GrC 2010   271 - 276   2010.08

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    Authorship：Lead author   Publishing type：Research paper (international conference proceedings)  

  • Inducing rules considering inclusion relations between conclusions Reviewed

    Masahiro Inuiguchi, Yoshifumi Kusunoki, Masanori Inoue

    40th International Conference on Computers and Industrial Engineering: Soft Computing Techniques for Advanced Manufacturing and Service Systems, CIE40 2010   2010.07

  • A unified approach to reducts in dominance-based rough set approach Reviewed

    Yoshifumi Kusunoki, Masahiro Inuiguchi

    SOFT COMPUTING   14 ( 5 )   507 - 515   2010.03

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    Authorship：Lead author   Publishing type：Research paper (scientific journal)   International / domestic magazine：International journal  

  • Variable-precision dominance-based rough set approach and attribute reduction Reviewed

    Masahiro Inuiguchi, Yukihiro Yoshioka, Yoshifumi Kusunoki

    International Journal of Approximate Reasoning   50 ( 8 )   1199 - 1214   2009.09

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    Publishing type：Research paper (scientific journal)   International / domestic magazine：International journal  

  • Rule induction for decision tables with ordered classes Reviewed

    Yoshifumi Kusunoki, Masanori Inoue, Masahiro Inuiguchi

    Studies in Computational Intelligence   199   565 - 574   2009.04

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    Authorship：Lead author   Publishing type：Research paper (international conference proceedings)  

  • A Comprehensive Study on Reducts in Dominance-Based Rough Set Approach Reviewed

    Yoshifumi Kusunoki, Masahiro Inuiguchi

    Lecture Notes in Computer Science   5285   167 - 178   2008.10

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    Authorship：Lead author   Publishing type：Research paper (international conference proceedings)  

  • RULE INDUCTION VIA CLUSTERING DECISION CLASSES Reviewed International coauthorship

    Yoshifumi Kusunoki, Masahiro Inuiguchi, Jerzy Stefanowski

    INTERNATIONAL JOURNAL OF INNOVATIVE COMPUTING INFORMATION AND CONTROL   4 ( 10 )   2663 - 2677   2008.10

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    Authorship：Lead author   Publishing type：Research paper (scientific journal)   International / domestic magazine：International journal  

  • Rule induction through clustering classes for nominal and numerical data Reviewed

    Yoshifumi Kusunoki, Masahiro Inuiguchi

    Second International Conference on Innovative Computing, Information and Control, ICICIC 2007   2007.09

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    Authorship：Lead author   Publishing type：Research paper (international conference proceedings)  

  • Rule induction via clustering decision classes Reviewed

    Yoshifumi Kusunoki, Masahiro Inuiguchi

    RSCTC 2006: Rough Sets and Current Trends in Computing   928 - 938   2006.01

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    Authorship：Lead author   Publishing type：Research paper (international conference proceedings)  

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MISC

  • Sequential Second-order Cone Programming for Nearest Prototype Classifier Learning

    Yoshifumi Kusunoki

    Proceedings of the 25th Czech-Japan Seminar on Data Analysis and Decision Making under Uncertainty   21 - 22   2025.09

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    Publishing type：Research paper, summary (international conference)  

  • Development of an Environment Setup Tool for RoboCup Soccer Simulation 2D League International journal

    OKAYAMA Sota, NAKASHIMA Tomoharu, KUSUNOKI Yoshifumi, FUJIKAWA Takumi, AKIYAMA Hidehisa

    JSAI Technical Report, Type 2 SIG   2024 ( SAI-050 )   01 - 05   2025.03（ eISSN:24365556 ）

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    Publishing type：Internal/External technical report, pre-print, etc.   International / domestic magazine：Domestic journal  

    <p>In the RoboCup Soccer Simulation 2D League, setting up the environment requires knowledge of OS and programming, creating a barrier for newcomers. In recent years, the number of teams participating in the world championship has been declining, and these entry barriers are considered a contributing factor. To address these issues, this study proposes a toolkit that automates the installation of necessary tools, libraries, and teams, thereby simplifying the environment setup process. Additionally, the toolkit includes scripts that allow matches to be executed e_ortlessly. By developing this toolkit, we aim to eliminate the barriers to entry for new participants, encourage broader involvement in the league, and contribute to the revitalization of the RoboCup research community as a whole.</p>

    DOI： 10.11517/jsaisigtwo.2024.sai-050_01

    CiNii Research

  • SCIS&ISIS2024開催報告

    井ノ口 弘昭, 生方 誠希, 円谷 友英, 大保 武慶, 川中 普晴, 楠木 祥文, 工藤 卓, 小橋 昌司, 中嶋 宏, 長宗 高樹, 能島 裕介, 藤田 大輔, 布施 陽太郎, 本多 克宏, 村田 忠彦, 盛田 健人, 八木 直美

    知能と情報   37 ( 1 )   13 - 17   2025.02（ ISSN:13477986 ） （ eISSN:18817203 ）

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    知能と情報. 2025, 37 (1), P.13-17

    DOI： 10.3156/jsoft.37.1_13

    CiNii Research

  • RoboCupフォーメーション分析におけるタイルコーディングの使用

    藤川 拓海, 楠木 祥文, 秋山 英久, 中島 智晴

    人工知能学会第二種研究会資料   2024 ( SAI-051 )   01   2024.12（ eISSN:24365556 ）

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    Publishing type：Internal/External technical report, pre-print, etc.  

    DOI： 10.11517/jsaisigtwo.2024.sai-051_01

    CiNii Research

  • Improving Stability of the Multi-class Support Vector Machine Maximizing Geometric Margins

    Yoshifumi Kusunoki

    Proceedings of the 24th Czech-Japan Seminar on Data Analysis and Decision Making   2024.09

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    Publishing type：Research paper, summary (international conference)  

  • Log Visible System for Soccer Analyze

    HATAKEYAMA Kyo, NAKATA Mitsuki, SHIMODA Moeki, NAKASHIMA Tomoharu, KUSUNOKI Yoshifumi, AKIYAMA Hidehisa

    JSAI Technical Report, Type 2 SIG   2023 ( SAI-047 )   05   2024.03（ eISSN:24365556 ）

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    Publishing type：Internal/External technical report, pre-print, etc.  

    <p>In the realm of soccer, a substantial amount of data analysis has been undertaken. Although analyses using tracking data are prevalent, those involving gaze information have not progressed as much due to the challenges associated with measuring gaze. However, in soccer, gaze and visual information are critical features for players when making situational judgments. Concurrently, gaze tracking technology utilizing virtual reality (VR) has been advancing.In this study, we recreated logs of soccer simulation 2D games by converting into 3D models for more realistic visualization. We not only reproduced the positional information available from simple logs into the 3D model but also created cameras representing each player's viewpoint and performed Z-axis interpolation to replicate an environment that closely resembles real-world soccer. Subsequently, we conducted a survey with participants, comparing 2D and 3D models. Although the survey revealed numerous challenges, the 3D model developed was a step closer to acquiring the field of view information of experts, akin to a real soccer environment.The paper also describes some directions of future research which may include data augmentation with actual soccer data and extending this 3D model to VR, enabling gaze measurement. Ultimately, it is conceivable that analyzing the gaze movements as perceived by experts and implementing them into the player model of robot soccer could become feasible.</p>

    DOI： 10.11517/jsaisigtwo.2023.sai-047_05

    CiNii Research

  • A Study on Application of Bayesian Learning in Rough Set Approaches to Data Analysis

    Yoshifumi Kusunoki

    Proceedings of the 23rd Czech-Japan Seminar on Data Analysis and Decision Making under Uncertainty   2023.09

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    Publishing type：Research paper, summary (international conference)  

  • 「ラフ集合とデータマイニング〜理論から応用まで〜」特集にあたって

    工藤 康生, 楠木 祥文

    知能と情報   32 ( 4 )   2020.08

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  • ラフ集合に基づくデータ分析の基礎

    楠木 祥文

    知能と情報   32 ( 4 )   2020.08

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  • FSS 2019 開催報告

    乾口 雅弘, 楠木 祥文, 関 宏理, 生方 誠希

    知能と情報   32 ( 1 )   13 - 14   2020.02（ ISSN:1347-7986 ） （ eISSN:1881-7203 ）

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  • Choquet-integral centrality using the maximum cardinality of stable sets International coauthorship

    Yoshifumi Kusunoki, Vicenc Torra

    USB Proceedings the 16th International Conference on Modeling Decisions for Artificial Intelligence   170 - 181   2019.09

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    Authorship：Lead author   Publishing type：Article, review, commentary, editorial, etc. (international conference proceedings)  

  • Minimal Negotiation Sets for Assignment Games on Complete Graphs

    Yoshifumi Kusunoki, Masaki Saito

    Proceedings of the 21st Czech-Japan Seminar on Data Analysis and Decision Making   2018.11

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    Publishing type：Research paper, summary (international conference)  

  • 決定ルール抽出の基礎：被覆アルゴリズム International journal

    楠木 祥文

    知能と情報   30 ( 4 )   205 - 208   2018.08

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    Authorship：Lead author   Publishing type：Article, review, commentary, editorial, etc. (scientific journal)   International / domestic magazine：Domestic journal  

    DOI： https://doi.org/10.3156/jsoft.30.4_205

  • 提携の実現に制限のある協力ゲーム Reviewed International journal

    楠木祥文

    システム/制御/情報   62 ( 1 )   28 - 33   2018.01

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    Authorship：Lead author   Publishing type：Article, review, commentary, editorial, etc. (scientific journal)   International / domestic magazine：Domestic journal  

    DOI： https://doi.org/10.11509/isciesci.62.1_28

  • Transductive Learning Using Feature Spaces Provided by Semidefinite Programmings

    Yoshifumi Kusunoki, Keigo Iwasa, Keiji Tatsumi

    PROCEEDINGS OF THE 20TH CZECH-JAPAN SEMINAR ON DATA ANALYSIS AND DECISION MAKING UNDER UNCERTAINTY   88 - 93   2017

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    Authorship：Lead author   Publishing type：Research paper, summary (international conference)  

  • Harsanyi Dividends of Irreducible Cost Games in Minimum Cost Arborescence Problems

    Yoshifumi Kusunoki, Tetsuzo Tanino

    Proceedings of the 19th Czech-Japan Seminar on Data Analysis and Decision Making under Uncertainty   130 - 131   2016.10

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    Authorship：Lead author   Publishing type：Research paper, summary (international conference)  

  • アイサイ・オープン企画 高校生のための出前授業(学会活動) International journal

    楠木 祥文

    システム/制御/情報   59 ( 10 )   394 - 394   2015.10

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    Authorship：Lead author   Publishing type：Meeting report   International / domestic magazine：Domestic journal  

  • Localized Boolean Function Kernels

    Yoshifumi Kusunoki, Tetsuzo Tanino

    Localized Boolean Function Kernels   71 - 82   2015.09

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    Authorship：Lead author   Publishing type：Research paper, summary (international conference)  

  • 最小全域木問題のコスト分配に対する公理的アプローチ International journal

    楠木 祥文

    オペレーションズ・リサーチ   60 ( 5 )   252 - 258   2015.05

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    Authorship：Lead author   Publishing type：Article, review, commentary, editorial, etc. (scientific journal)   International / domestic magazine：Domestic journal  

  • Hierarchical clustering using proximity measures based on discernibility of clusters

    Yoshifumi Kusunoki, Tetsuzo Tanino

    Proceedings of the 16th Czech-Japan Seminar on Data Analysis and Decision Making under Uncertainty   2013.09

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    Authorship：Lead author   Publishing type：Research paper, summary (international conference)  

  • Definitions and properties of cooperative games with fuzzy communication structures

    Seiki Yamamura, Yoshifumi Kusunoki, Tetsuzo Tanino

    Proceedings of the 15th Czech-Japan Seminar on Data Analysis and Decision Making under Uncertainty   2012.09

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    Authorship：Lead author   Publishing type：Research paper, summary (international conference)  

  • On rule induction in variable precision dominance based rough set approach

    Yoshifumi Kusunoki, Masahiro Inuiguchi, Tetsuzo Tanino

    Proceedings of the 15th Czech-Japan Seminar on Data Analysis and Decision Making under Uncertainty   2012.09

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    Authorship：Lead author   Publishing type：Research paper, summary (international conference)  

  • Dissimilarities Using Discernibilities of Objects on Attribute Subsets for Clustering

    Yoshifumi Kusunoki, Tetsuzo Tanino

    Proceedings of the 14th Czech-Japan Seminar on Data Analysis and Decision Making under Uncertainty   2011.09

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    Authorship：Lead author   Publishing type：Research paper, summary (international conference)  

  • 不確定値含む情報表における区間ラフメンバシップ値を用いた可変精度ラフ集合モデル

    楠木 祥文, 乾口 雅弘

    数理解析研究所講究録   1682   115 - 122   2010.04

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    Authorship：Lead author   Publishing type：Internal/External technical report, pre-print, etc.  

  • Variable Precision Rough Set Model in Incomplete Information Tables

    Yoshifumi Kusunoki, Masahiro Inuiguchi

    CD-ROM Proceedings of MDAI 2009   141 - 152   2009.11

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    Authorship：Lead author   Publishing type：Article, review, commentary, editorial, etc. (international conference proceedings)  

  • 支配関係に基づくラフ集合における属性縮約とその計算法

    楠木 祥文, 乾口 雅弘

    数理解析研究所講究録   1636   126 - 133   2009.04

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    Authorship：Lead author   Publishing type：Internal/External technical report, pre-print, etc.  

  • 結論部の含意を考慮したルール抽出法

    楠木 祥文, 井上 正則, 乾口 雅弘

    数理解析研究所講究録   1584   59 - 71   2008.02

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    Authorship：Lead author   Publishing type：Internal/External technical report, pre-print, etc.  

  • 決定クラスのクラスタリングに基づくルールベース分類モデル

    楠木 祥文, 乾口 雅弘

    数理解析研究所講究録   1526   47 - 55   2006.12

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    Authorship：Lead author   Publishing type：Internal/External technical report, pre-print, etc.  

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Presentations

  • 導関数の最小化に基づく加法スプライン識別器の学習 Domestic conference

    楠木 祥文, 境 龍聖, 中島 智晴

    日本知能情報ファジィ学会第36回ソフトサイエンス・ワークショップ講演論文集  2026.03 

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    Presentation type：Oral presentation (general)  

  • 高速な自動微分ライブラリの実装に関する一提案 Domestic conference

    山ノ内陸, 楠木祥文, 中島智晴, 檀寛成

    日本オペレーションズ・リサーチ学会2026年春季大会アブストラクト集  2026.03 

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    Presentation type：Oral presentation (general)  

  • Understanding market trends of deli foods using consumer purchase data through a receipt scanning app Domestic conference

    Kawai Ayako, Shirai Yasuyuki, Morita Hiroyuki, Kusunoki Masafumi

    Abstracts of Annual Conference of Japan Society for Management Information  2026.01  THE JAPAN SOCIETY FOR MANAGEMENT INFORMATION (JASMIN)

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    Presentation type：Oral presentation (general)  

    <p>This study proposes an analytical framework for understanding market trends of in-store code products, with a particular focus on deli foods, using consumer purchase data collected through a receipt scanning application. Since the dataset contains issues related to data quality, such as sampling bias and inconsistencies in product names and prices, data cleansing and correction procedures are applied before conducting product classification to improve the accuracy of the market analysis. As an example, the study analyzes the "rice ball" category to demonstrate the potential applicability of the framework to merchandising.</p>

    DOI： 10.11497/jasmin.202510.0_347

    CiNii Research

  • 幾何マージン最大化多クラス SVM のための問題特化型主双対内点法 Domestic conference

    山本捺起, 楠木祥文, 中島智晴

    2025年度SICE関西支部・ISCIEシンポジウム  2026.01 

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    Presentation type：Oral presentation (general)  

  • Bregman 距離を用いた近接点アルゴリズムによる幾何マージン最大化多クラス SVM の求解 Domestic conference

    高田魁, 楠木祥文, 中島智晴

    2025年度SICE関西支部・ISCIEシンポジウム  2026.01 

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    Presentation type：Oral presentation (general)  

  • 幾何マージン最大化多クラスSVMに対するBregman距離を用いた近接点アルゴリズム Domestic conference

    高田 魁, 楠木祥文, 中島智晴

    日本オペレーションズ・リサーチ学会2025年度関西支部若手研究発表会  2025.12 

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    Presentation type：Oral presentation (general)  

  • Location Estimation Using Reservoir Computing in Mini 4WD AI Domestic conference

    Tanaka Kotaro, Nakashima Tomoharu, Kusunoki Yoshifumi

    Proceedings of the Fuzzy System Symposium  2025.09  Japan Society for Fuzzy Theory and Intelligent Informatics

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    Presentation type：Oral presentation (general)  

    <p>In this paper, we propose a method of location estimation using a geomagnetic sensor for automatic control of a mini 4WD AI machine. A circle model is created based on the horizontal geomagnetic data obtained during driving, and the machine orientation is estimated using the angle data. Then, the machine’s orientation one step ahead is predicted by using reservoir computing for the angle data, and the position is estimated based on the predicted orientation.</p>

    DOI： 10.14864/fss.41.0_898

    CiNii Research

  • 支配関係に基づく可変精度ラフ集合アプローチに対する経験リスク最小化 Domestic conference

    楠木祥文

    離散数学とその応用研究集会2025  2025.08 

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    Presentation type：Oral presentation (invited, special)  

  • Representation of Team Formation using Tile Coding and its Application to Opposing Team Identification International conference

    Tomoharu Nakashima, Takumi Fujikawa, Yoshifumi Kusunoki, Hidehisa Akiyama

    RoboCup International Symposium 2025  2025.07 

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    Presentation type：Poster presentation  

  • An Approach to Shoot Detection from Basketball Movies Domestic conference

    NAKASHIMA Tomoharu, ARORA Rishit, SAKAMOTO Yasukazu, KUSUNOKI Yoshifumi

    Sports Informatics and Technology  2025.07  The Japan Society of Mechanical Engineers, Information Processing Society of Japan

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    <p>This paper presents an automated basketball shot detection system that uses YOLO (You Only Look Once) object detection and computer vision techniques to track the ball and hoop in real-time video footage. The system analyzes trajectory patterns to classify shot attempts and determine successful makes or misses. By employing motion filtering, geometric heuristics, and temporal analysis, the algorithm achieves robust performance in dynamic game environments. Results demonstrate accurate shot logging with real-time overlay visualization, providing a foundation for sports analytics applications.</p>

    DOI： 10.82713/sit.2025.0_b-3-6

    CiNii Research

  • 幾何マージンを厳密に最大化する多クラスサポートベクトルマシンに対する基礎的検討 Domestic conference

    楠木 祥文, 高田 魁, 中島 智晴

    第69回システム制御情報学会研究発表講演会  2025.05 

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    Presentation type：Oral presentation (general)  

  • A Fundamental Study on a Multi-class Support Vector Machine Strictly Maximizing Geometric Margins Domestic conference

    Takada Kai, Kusunoki Yoshifumi, Nakashima Tomoharu

    Proceedings of the Annual Conference of the Institute of Systems, Control and Information Engineers  2025.05  The Institute of Systems, Control and Information Engineers

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    Presentation type：Oral presentation (general)  

    DOI： 10.11509/sci.sci25.0_557

    CiNii Research

  • Learning of Multi-Class Fuzzy Classifiers using Particle Filters in Dynamic Environments Domestic conference

    YAMAMOTO Yuma, KUSUNOKI Yoshifumi, NAKASHIMA Tomoharu

    Proceedings of the Annual Conference of JSAI  2025.05  The Japanese Society for Artificial Intelligence

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    Presentation type：Oral presentation (general)  

    DOI： 10.11517/pjsai.jsai2025.0_2i1gs302

    CiNii Research

  • Trajectory Prediction of the Ball and Players using LSTM Models in the RoboCup Soccer Domestic conference

    YANO Shota, KUSUNOKI Yoshifumi, NAKASHIMA Tomoharu, AKIYAMA Hidehisa

    Proceedings of the Annual Conference of JSAI  2025.05  The Japanese Society for Artificial Intelligence

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    Presentation type：Oral presentation (general)  

    <p>In real soccer, players predict the movements of the ball and opponents to construct effective offensive and defensive plays. Similarly, in the RoboCup Soccer Simulation 2D League, which is the focus of this study, such predictions are necessary to take optimal actions. This research aims to predict ball movements and opponent players’ movements, particularly those involved in goal-scoring situations, using LSTM models in the RoboCup Soccer. Numerical experiments demonstrated that predictions for one cycle ahead could be made with high accuracy.</p>

    DOI： 10.11517/pjsai.jsai2025.0_2s1gs201

    CiNii Research

  • 自動微分における計算グラフのベクトル化 Domestic conference

    山ノ内陸, 楠木祥文, 中島智晴, 檀寛成

    日本オペレーションズ・リサーチ学会2025年春季研究発表会  2025.03 

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    Presentation type：Oral presentation (general)  

  • 多クラス分類問題に対するクラス間幾何マージン最大化の有効性の調査 Domestic conference

    高田魁, 楠木祥文, 中島智晴

    2024年度計測自動制御学会関西支部・システム制御情報学会シンポジウム  2025.01 

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    Presentation type：Oral presentation (general)  

  • 幾何マージンを最大化する多クラスサポートベクトルマシンに対するTruncated Netwton法 Domestic conference

    山本捺起, 楠木祥文, 中島智晴

    2024年度計測自動制御学会関西支部・システム制御情報学会シンポジウム  2025.01 

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    Presentation type：Oral presentation (general)  

  • k-Means アルゴリズムの局所的最小解への収束について Domestic conference

    楠木祥文

    第32回インテリジェント・システム・シンポジウム講演予稿集  2024.09 

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    Presentation type：Oral presentation (general)  

  • 確率的ラフ集合モデルにおける純度に基づく属性縮約 Domestic conference

    楠木祥文

    第40回ファジィシステムシンポジウム講演論文集  2024.09 

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    Presentation type：Oral presentation (general)  

  • Current Status and Prospects of RoboCup Soccer Simulation 2D League in Japan (2024) Domestic conference

    Hishiki Akei, Ito Nobuhiro, Nakashima Tomoharu, Akiyama Hidehisa, Okayama Sota, Yano Shota, Nishino Junji, Iwata Kazunori, Uchitane Takeshi, Fukuda Haruki, Takabayashi Hiroto, Kohmoto Keiko, Kusunoki Yoshifumi

    Proceedings of the Fuzzy System Symposium  2024.09  Japan Society for Fuzzy Theory and Intelligent Informatics

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    Presentation type：Oral presentation (general)  

    <p>Our research, conducted through unofficial games in the RoboCup soccer simulation 2D league, where Japanese teams competed, offers a unique perspective. This paper compares the characteristic features of the participating teams and provides insights into the recent global trend in soccer simulation. The games serve as a platform to analyze the teams’ strategies, performance, and advancements, shedding light on the current state of soccer simulation in Japan. From these analyses, we aim to offer valuable insights into the evolving landscape of RoboCup soccer simulation, especially for Japanese teams.</p>

    DOI： 10.14864/fss.40.0_886

    CiNii Research

  • Position Estimation Using a Geomagnetic Sensor for Mini 4WD AI

    Shibata Yuuki, Tanaka Kotaro, Sugi Kentaro, Nakashima Tomoharu, Kusunoki Yoshifumi, Ohta Masaya

    Proceedings of the Fuzzy System Symposium  2024.09  Japan Society for Fuzzy Theory and Intelligent Informatics

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    Presentation type：Oral presentation (general)  

    <p>In this paper, we propose a method of position estimation using a geomagnetic sensor for automatic control of a mini 4WD AI machine. First, a mini 4WD AI machine is driven on a circular course, and the geomagnetic sensor is used to measure the horizontal geomagnetic field while the machine is running. Since the geomagnetic field ideally forms a regular circle when the machine is running around the course, a circle model is constructed from the measured values. Using the center point of the circle model, the orientation of the machine at each measurement time is obtained, and its position on the course is estimated. Numerical experiments are conducted to evaluate the effectiveness of the proposed method.</p>

    DOI： 10.14864/fss.40.0_860

    CiNii Research

  • A Simulator for Mini 4WD AI Reserch

    Sugi Kentaro, Shibata Yuuki, Tanaka Kotaro, Nakashima Tomoharu, Kusunoki Yoshifumi, Masaya Ohta

    Proceedings of the Fuzzy System Symposium  2024.09  Japan Society for Fuzzy Theory and Intelligent Informatics

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    Presentation type：Oral presentation (general)  

    <p>Using a simulator in advance is practical to check whether the machine operates without any problems when controlling it. This is true even for controlling Mini 4WD. However, such dedicated simulators are not currently available to the public. This paper describes our efforts to create a physics simulator using Unreal Engine 5, a general-purpose game engine. The simulator helps develop intelligent control systems without physical Mini 4WD machines. The simulator can also be used to reproduce various sensors and obtain ideal values or to obtain detailed information on conditions that are difficult to obtain with sensors, such as the ground state of a tire.</p>

    DOI： 10.14864/fss.40.0_867

    CiNii Research

  • 逐次線形化に基づくエントロピー正則化ロバストファジィc-Means Domestic conference

    楠木祥文, 中島智晴

    第68回システム制御情報学会研究発表講演会  2024.05 

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    Presentation type：Oral presentation (general)  

  • Purchase Product Classification by STL Decomposition of Time-series Sales Data Domestic conference

    Shirai Yasuyuki, Kawai Ayako, Morita Hiroyuki, Kusunoki Yoshifumi, Goto Yusuke

    Abstracts of Annual Conference of Japan Society for Management Information  2024.01  THE JAPAN SOCIETY FOR MANAGEMENT INFORMATION (JASMIN)

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    Presentation type：Oral presentation (general)  

    <p>Product sales in supermarkets are affected by a variety of external factors. One of the key insights in marketing is to infer the impact of these external factors from sales information and to determine the sensitivity to various factors. In this study, based on food sales data in supermarkets over a five-year period from 2018, we attempted to classify products by the degree of influence of external factors such as COVID-19 by using STL decomposition to isolate seasonal variations and residual components and clustering these components. The results shows that there are some products that were significantly affected by external factors. These product-specific characteristics can be expected to provide useful information for future marketing and sales strategies.</p>

    DOI： 10.11497/jasmin.202311.0_367

    CiNii Research

  • Analysis on Impact of Critical Event using Customers Behavior Alteration Index Domestic conference

    Morita Hiroyuki, Shirai Yasuyuki, Kusunoki Yoshifumi, Kawai Ayako, Goto Yusuke

    Abstracts of Annual Conference of Japan Society for Management Information  2023.11  THE JAPAN SOCIETY FOR MANAGEMENT INFORMATION (JASMIN)

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    Presentation type：Oral presentation (general)  

    <p>Recently, infectious diseases and conflicts have affected our lives. There is a lot of reports of changes in customer purchasing behavior and lifestyle behavior due to COVID-19. However, if we can view that as a critical social event and clarify the relationship between behavior such as the movement of people and posting on SNS and changes in purchasing behavior, it will be possible to predict the effects of similar events in the future. In this study, we focus on alternative data, which are thought to be leading factors, and build a model to estimate the degree of change. From the constructed model, we show that explanatory factors related to Google Trends values and people's movements change purchasing behavior.</p>

    DOI： 10.11497/jasmin.202311.0_371

  • A Probabilistic Rough Set Model Based on Bayesian Learning International conference

    Yoshifumi Kusunoki

    The 2023 International Joint Conference on Rough Sets (IJCRS 2023)  2023.10 

  • RoboCupサッカーにおけるコーナーキック時の最適な守備配置

    日紫喜 暁維, 中島 智晴, 楠木 祥文, 秋山 英久

    第22回情報科学技術フォーラム  2023.09 

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    Presentation type：Oral presentation (general)  

  • ベイズ学習に基づく可変精度ラフ集合モデル

    楠木祥文

    第39回ファジィシステムシンポジウム 講演論文集  2023.09 

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    Presentation type：Oral presentation (general)  

  • 地磁気センサと磁石を利用したミニ四駆AI制御手法の開発と実験

    柴田 祐季, 清水 大樹, 中島 智晴, 楠木 祥文

    第39回ファジィシステムシンポジウム  2023.09 

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    Presentation type：Oral presentation (general)  

  • 動的環境下でのファジィ識別器における Don’t Care ルールの影響

    味本 健祐, 山本 悠真, 中島 智晴, 楠木 祥文

    第 31 回インテリジェント・システム・シンポジウム  2023.09 

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    Presentation type：Oral presentation (general)  

  • 動的環境におけるラベルノイズに対する Passive-Aggressive 学習ファジィ識別器の一考察

    山本 悠真, 味本 健祐, 中島 智晴, 楠木 祥文

    第 31 回インテリジェント・システム・シンポジウム  2023.09 

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    Presentation type：Oral presentation (general)  

  • ハンドナットランナにおける着座判定のための異常検知手法

    下田萌喜, 中島智晴, 楠木祥文, 油谷謙介, 吉本 智

    2023年 電気学会 電子・情報・システム部門大会  2023.08 

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    Presentation type：Oral presentation (general)  

  • Examination of work efficiency improvement method through system development in construction cost estimation supervision

    加藤正元, 中島智晴, 楠木祥文

    建築生産シンポジウム論文集  2023.08 

  • DCアルゴリズムを用いた距離の累乗根を最小化するロバストk-Meansの導出

    楠木 祥文, 端谷 大輝, 中島 智晴

    第67回システム制御情報学会研究発表講演会  2023.05 

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    Presentation type：Oral presentation (general)  

  • 自動微分ライブラリの性能比較 Domestic conference

    檀 寛成, 楠木 祥文

    日本オペレーションズ・リサーチ学会 2023 年春季研究発表会  2023.03 

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    Presentation type：Oral presentation (general)  

  • 建築積算監理のための物品利用事例検索システムの開発

    加藤正元, 中島智晴, 楠木祥文

    計測自動制御学会 システム・情報部門 社会システム部会 第31回社会システム部会研究会  2023.03 

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    Presentation type：Oral presentation (general)  

  • スクリーニングデータを用いた学校チーム会議判定システム Domestic conference

    中島智晴, 山野則子, 鈴木あい, 宋昇勲, 林萍萍, 黄健育, 藤川拓海, 楠木祥文

    計測自動制御学会 システム・情報部門学術講演会2022  2022.11 

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    Presentation type：Oral presentation (general)  

  • 寄り道を用いた監視経路の修正 Domestic conference

    久野 遼太朗, 松田 泰宏, 加藤 正元, 楠木 祥文, 中島 智晴

    計測自動制御学会 システム・情報部門学術講演会2022  2022.11 

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    Presentation type：Oral presentation (general)  

  • 建築積算監理における回帰分析を用いた部品間の関係性抽出手法の検討 Domestic conference

    加藤 正元, 楠木 祥文, 中島 智晴

    計測自動制御学会 システム・情報部門学術講演会2022  2022.11 

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    Presentation type：Oral presentation (general)  

  • 出産育児コミュニティサイトにおける共感と経験に関する分析 Domestic conference

    楠木 祥文, 河合 亜矢子, 後藤 裕介, 白井 康之, 森田 裕之

    経営情報学会 全国研究発表大会要旨集  2022.11 

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    Presentation type：Oral presentation (general)  

  • Automatic Control of Mini 4WD Based on Localization Using a Camera and Dealing with Communication Delay Domestic conference

    2022.09 

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    Presentation type：Oral presentation (general)  

  • Developing a Support System for the Supervision of Construction Estimation Domestic conference

    2022.09 

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    Presentation type：Oral presentation (general)  

  • 支配関係に基づく可変精度ラフ集合アプローチにおける経験リスク最小化問題の定式化について Domestic conference

    楠木 祥文

    日本知能情報ファジィ学会 ファジィ システム シンポジウム 講演論文集  2022.09 

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    Presentation type：Oral presentation (general)  

  • A Study on the linguistic explanation of online classification mechanism using Confidence-Weighted learning fuzzy classifiers

    Ajimoto Kensuke, Kusunoki Yoshifumi, Nakashima Tomoharu

    Proceedings of the Fuzzy System Symposium  2022.09  Japan Society for Fuzzy Theory and Intelligent Informatics

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    <p>Fuzzy classifiers can linguistically explain its classification mechanism while achieving high classification accuracy. In this paper, we aim to explain the classification mechanism in dynamic environments where the classification boundary changes over time. For this purpose, a fuzzy classifier is constructed in an online manner by means of Confidence-Weighted learning. Online learning allows the classifier to be trained from a small number of training patterns. We have confirmed that the learning model can linguistically explain the classification mechanism by examining how the weights of the fuzzy if-then rules in the fuzzy classifier so that the fuzzy classifier dynamically follows the changes in the classification boundary.</p>

    DOI： 10.14864/fss.38.0_316

    CiNii Research

  • ママ達のQ&A型オンラインコミュニティにおける「共感」の重要性 Domestic conference

    河合 亜矢子, 楠木 祥文, 白井 康之, 森田 裕之, 後藤 裕介

    日本経営工学会 2022年 春季大会  2022.05 

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    Presentation type：Oral presentation (general)  

  • データから生成される凸集合への射影を用いたクラス分類 Domestic conference

    楠木 祥文

    第66回 システム制御情報学会 研究発表講演会  2022.05 

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    Presentation type：Oral presentation (general)  

  • 非線形最適化用ライブラリの整備 Domestic conference

    檀 寛成, 楠木 祥文

    日本オペレーションズ・リサーチ学会 2022年 春季研究発表会  2022.03 

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    Presentation type：Oral presentation (general)  

  • Low-rank representaionを用いた非線形データ解析手法の開発 Domestic conference

    小島克彦, 楠木祥文, 巽啓司

    第49回知能システムシンポジウム  2022.03 

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    Presentation type：Oral presentation (general)  

  • 2次制約正則化を導入したプロトタイプ分類器の学習に対するマージン最大化モデル Domestic conference

    大西 敦也, 楠木 祥文, 巽 啓司

    第49回知能システムシンポジウム  2022.03 

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    Presentation type：Oral presentation (general)  

  • A Trial of Analysis on Soccer Formations by using Self-Organizing Maps

    Nakashima Tomoharu, Ajimoto Kensuke, Fujikawa Takumi, Fukushima Takuya, Kusunoki Yoshifumi

    Proceedings of the Fuzzy System Symposium  2021.09  Japan Society for Fuzzy Theory and Intelligent Informatics

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    Time-series prediction using self-organizing maps is applied to RoboCup formation prediction. The formation of players are converted into a numerical vector, which is used as an input to the self-organizing map. The units in the self-organizing map are arranged in a two-dimensional or three-dimensional way, which allows time-series processing. A series of numerical experiments are conducted to investigate the effectiveness of the self-organizing maps.

  • A Study On Route Optimization Problems in Area Surveillance using Autonomous Robots

    Kato Masaharu, Matsuda Yasuhiro, Nakashima Tomoharu, Kusunoki Yoshifumi

    Proceedings of the Fuzzy System Symposium  2021.09  Japan Society for Fuzzy Theory and Intelligent Informatics

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    In recent years, the industrial application of autonomous mobile robots such as UAVs has been spreading rapidly in various fields. In this context, several studies focus on area surveillance. In the area surveillance, autonomous robots that are equipped with a camera move around a designated area for surveillance. Travel routes of the robots must be determined appropriately to reduce costs while increasing the efficiency of surveillance. In this paper, we formulate route optimization problems for autonomous robots in the area surveillance. In the formulation, we assume that the occurrence of anomalies in an area is assumed to be uniform, and we maximize the rate at which anomalies are detected. Heuristic optimization methods are applied to the formulated problems. Furthermore, simple experiments are conducted using these optimization methods.

  • 観測データ間の関係を考慮した決定木による構造物の 補強度合の判定 Domestic conference

    増井 遼太, 辻岡 竣祐, 巽 啓司, 楠木 祥文, 尹 禮分

    計測自動制御学会第48回知能システムシンポジウム  2021.03 

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    Presentation type：Poster presentation  

  • ファジィc-平均法の正則化を導入したマージン最大化モデルによるプロトタイプ分類器の学習 Domestic conference

    清水 省吾, 楠木 祥文, 巽 啓司

    計測自動制御学会第48回知能システムシンポジウム  2021.03 

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    Presentation type：Poster presentation  

  • 消費者の情報取得傾向の調査 Domestic conference

    楠木祥文

    データ解析コンペティション 関⻄予選最終報告  2021.03 

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    Presentation type：Poster presentation  

  • 滑らかな凸関数に対する合意最適化アルゴリズムの収束条件 Domestic conference

    城野 拓也, 楠木 祥文, 巽 啓司

    2020年度計測自動制御学会関西支部・システム制御情報学会シンポジウム  2021.01 

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    Presentation type：Poster presentation  

  • 観測データ間の関係を考慮した構造物の補強度合を判別するSupport Vector Machine Domestic conference

    辻岡 竣祐, 巽 啓司, 楠木 祥文, 尹 禮分

    第63回自動制御連合講演会  2020.11 

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    Presentation type：Poster presentation  

  • 滑らかな強凸関数に対する合意最適化アルゴリズムの収束条件 Domestic conference

    楠木 祥文, 城野 拓也, 巽 啓司

    第63回自動制御連合講演会  2020.11 

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    Presentation type：Poster presentation  

  • カーネル法を用いたルールアンサンブル学習の再考と実験的考察 Domestic conference

    楠木祥文

    第36回ファジィシステムシンポジウム  2020.09 

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    Presentation type：Poster presentation  

  • 事例研究:スクリーニングデータを用いた子供支援判定モデルの構築 Domestic conference

    中島 智晴, 福島 卓弥, 楠木 祥文, 山野 則子, 石田 まり, 小倉 康弘, Yo Eshin

    第36回ファジィシステムシンポジウム  2020.09 

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    Presentation type：Poster presentation  

  • Case Study:Constructing a Child-Support Decision Model from Screening Data

    Nakashima Tomoharu, Fukushima Takuya, Kusunoki Yoshifumi, Yamano Noriko, Ishida Mari, Ogura Yasuhiro, Yo Eshin

    Proceedings of the Fuzzy System Symposium  2020.09  Japan Society for Fuzzy Theory and Intelligent Informatics

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    <p>In this paper, we report a case study of constructing a machine learning model from real data. The case report in this paper is to determine whether a child needs school support or not. This case study uses a Yamano-style screening sheet to determine the support for elementary school children. Conventionally, the decision on whether or not support is needed was made by a person. However, when the number of children increases, the amount of support exceeds the tractable amount. In addition, there was a problem that it was difficult to obtain a common standard of support-decision because of the total dependence of such decisions on local governments and schools. Therefore, a support-decision model was created by machine learning from screening data that were collected from the elementary schools. The procedures used to construct the model from real data, the accuracy of the model obtained, the lessons learned from the series of work, and future issues are presented.</p>

  • カーネル法によるintrinsic距離の推定を用いた多様体学習 Domestic conference

    小島克彦, 楠木祥文, 巽啓司

    第64回システム制御情報学会研究発表講演会  2020.05 

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    Presentation type：Poster presentation  

  • 2次正則化ファジィc-平均法に基づくプロトタイプ分類器の拡張

    楠木祥文

    日本オペレーションズ・リサーチ学会春季研究発表会アブストラクト集  2020.03 

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    Presentation type：Oral presentation (general)  

  • プロトタイプ分類器に対するマージン最大化の再考 Domestic conference

    清水省吾, 楠木祥文, 巽啓司

    インテリジェント・システム・シンポジウム(CD-ROM)  2019.09 

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    Presentation type：Oral presentation (general)  

  • Rough Sets and Applications for Data Analysis Domestic conference

    楠木 祥文

    ファジィシステムシンポジウム講演論文集  2019.08 

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    Presentation type：Oral presentation (general)  

    Other Link： https://doi.org/10.14864/fss.35.0_620

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Grant-in-Aid for Scientific Research

  • 様々な学問分野で利用可能な非線形最適化問題求解ソルバ・ライブラリの実装

    Grant-in-Aid for Scientific Research(C)  2027

  • 様々な学問分野で利用可能な非線形最適化問題求解ソルバ・ライブラリの実装

    Grant-in-Aid for Scientific Research(C)  2026

  • 様々な学問分野で利用可能な非線形最適化問題求解ソルバ・ライブラリの実装

    Grant-in-Aid for Scientific Research(C)  2025

  • ファジィ最大値関数に基づくプロトタイプ分類モデルと数理最適化技法を用いた学習

    Grant-in-Aid for Scientific Research(C)  2023

  • ファジィ最大値関数に基づくプロトタイプ分類モデルと数理最適化技法を用いた学習

    Grant-in-Aid for Scientific Research(C)  2022

  • ファジィ最大値関数に基づくプロトタイプ分類モデルと数理最適化技法を用いた学習

    Grant-in-Aid for Scientific Research(C)  2021

  • ラフ集合理論の属性縮約に基づいた非類似度によるクラスター分析

    Grant-in-Aid for Early-Career Scientists  2011

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Charge of on-campus class subject

  • 学際情報学特別演習2

    2025   Intensive lecture   Graduate school

  • 学際情報学特別研究2

    2025   Intensive lecture   Graduate school

  • 知識情報システム学演習4

    2025   Weekly class   Undergraduate

  • 知識情報システム学卒業研究

    2025   Intensive lecture   Undergraduate

  • AIプログラミング

    2025   Weekly class   Undergraduate

  • 未来デザイン卒業研究

    2025   Intensive lecture   Undergraduate

  • 知識情報システム学英語演習

    2025   Intensive lecture   Undergraduate

  • 学際情報学特別演習1

    2025   Intensive lecture   Graduate school

  • 学際情報学特別研究1

    2025   Intensive lecture   Graduate school

  • 機械学習特論

    2025   Weekly class   Graduate school

  • 知識情報システム学演習3

    2025   Weekly class   Undergraduate

  • 人工知能B

    2025   Weekly class   Undergraduate

  • 知識情報システム学卒業研究

    2024   Intensive lecture   Undergraduate

  • 学際情報学特別演習2

    2024   Intensive lecture   Graduate school

  • 学際情報学特別研究2

    2024   Intensive lecture   Graduate school

  • 知識情報システム学英語演習

    2024   Intensive lecture   Undergraduate

  • 知識情報システム学演習4

    2024   Weekly class   Undergraduate

  • AIプログラミング

    2024   Weekly class   Undergraduate

  • 学際情報学特別演習1

    2024   Intensive lecture   Graduate school

  • 学際情報学特別研究1

    2024   Intensive lecture   Graduate school

  • 機械学習特論

    2024   Weekly class   Graduate school

  • 知識情報システム学演習3

    2024   Weekly class   Undergraduate

  • AIプログラミング

    2023   Weekly class   Undergraduate

  • データサイエンス特論

    2023   Weekly class   Graduate school

  • データサイエンス特論

    2022   Weekly class   Graduate school

  • プログラミング実践

    2022   Weekly class   Undergraduate

  • Special Topics in Data Science

    2021    

  • Practical Programming

    2021   Practical Training  

  • Special Topics in Data Science

    2021    

  • Practical Programming

    2021   Practical Training  

▼display all

Charge of off-campus class subject

  • プログラミング実習1

    2025.04
    -
    Now
    Institution：Kinki University

  • 応用数理特別講義

    2020.04
    -
    2020.09
    Institution：Niigata University

  • Operations Research 2

    2019.09
    -
    2022.03
    Institution：Kansai University

  • 数理システム計画論

    2013.04
    -
    2021.09
    Institution：Osaka University