Updated on 2025/04/17

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

  • THE INSTITUTE OF SYSTEMS, CONTROL AND INFORMATION ENGINEERS

  • THE OPERATIONS RESEARCH SOCIETY OF JAPAN

  • JAPAN SOCIETY FOR FUZZY THEORY AND INTELLIGENT INFORMATICS

  • THE SOCIETY OF INSTRUMENT AND CONTROL ENGINEERS

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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

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

    Yoshifumi Kusunoki, Keiji Tatsumi

    European Journal of Operational Research   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

    KATO Masaharu, NAKASHIMA Tomoharu, KUSUNOKI Yoshifumi

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

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    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

  • 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)  

  • 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&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&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

  • 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

  • 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

  • Choquet-integral centrality using the maximum cardinality of stable sets Reviewed 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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    Publishing type：Research paper (international conference proceedings)   Kind of work：Joint Work  

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

  • 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

  • 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

  • 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

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MISC

  • 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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  • 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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    <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

  • 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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Presentations

  • 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, 中島 智晴, 楠木 祥文, 秋山 英久

    人工知能学会第二種研究会資料  2024.12  一般社団法人 人工知能学会

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  • k-Means アルゴリズムの局所的最小解への収束について

    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)  

  • 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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    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

    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)  

  • 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

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

    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  Japan Society for Fuzzy Theory and Intelligent Informatics

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    <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

  • 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  Japan Society for Fuzzy Theory and Intelligent Informatics

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    <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

  • 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  Japan Society for Fuzzy Theory and Intelligent Informatics

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    <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

  • 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 

  • 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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    Presentation type：Oral presentation (general)  

  • 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)  

  • 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)  

  • 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)  

  • 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)  

  • 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)  

  • 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 

  • 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)  

  • 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)  

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

    2022.09 

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    Presentation type：Oral presentation (general)  

  • 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)  

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

    Shibata Yuuki, Shimizu Daiki, Nakashima Tomoharu, Kusunoki Yoshifumi

    Proceedings of the Fuzzy System Symposium  2022  Japan Society for Fuzzy Theory and Intelligent Informatics

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    <p>In this paper, we describe a method for automatically controlling the speed of a mini 4WD car through the localization using image processing. A camera captures images of a mini 4WD car in motion, and its position is estimated from the difference between the background and the captured images. The mini 4WD car is then controlled based on the position of the mini 4WD car and the control rules that are specified in advance. There is a communication delay during the control of the mini 4WD car. This problem is worked around by setting the control rules so that the communication delay is taken into account when the control rules are specified.</p>

    DOI： 10.14864/fss.38.0_354

  • 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  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

  • 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  

  • 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  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  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  

  • 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)  

  • 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  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>

  • 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

  • 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 

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    Presentation type：Oral presentation (general)  

  • Minimal Negotiation Sets for Assignment Games on Complete Graphs International conference

    Yoshifumi Kusunoki, Masaki Saito

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

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    Presentation type：Oral presentation (general)  

  • The linear spaces of transferable utility games with restrictions on coalitions International conference

    Tetsuzo Tanino, Yoshifumi Kusunoki, Tsukasa Emori

    Proceedings of the 18th Czech-Japan Seminar on Data Analysis and Decision Making under Uncertainty  2015.09 

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    Presentation type：Oral presentation (general)  

  • Localized Boolean Function Kernels International conference

    Yoshifumi Kusunoki, Tetsuzo Tanino

    Proceedings of the 18th Czech-Japan Seminar on Data Analysis and Decision Making under Uncertainty  2015.09 

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    Presentation type：Oral presentation (general)  

  • Duality in the linear space of transferable utility games International conference

    Tetsuzo Tanino, Yoshifumi Kusunoki

    Proceedings of the 17th Czech-Japan Seminar on Data Analysis and Decision Making under Uncertainty  2014.09 

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    Presentation type：Oral presentation (general)  

  • The linear space of transferable utility games International conference

    Tetsuzo Tanino, Yoshifumi Kusunoki

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

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    Presentation type：Oral presentation (general)  

  • Hierarchical clustering using proximity measures based on discernibility of clusters International conference

    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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    Presentation type：Oral presentation (general)  

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

    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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    Presentation type：Oral presentation (general)  

  • Definitions and properties of cooperative games with fuzzy communication structures International conference

    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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    Presentation type：Oral presentation (general)  

  • Dissimilarities Using Discernibilities of Objects on Attribute Subsets for Clustering International conference

    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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    Presentation type：Oral presentation (general)  

  • Rough Set Based Rule Induction from Decision Tables with Imprecise Decision Attribute Values Domestic conference

    2009.07 

  • Variable Precision Rough Set Approach to Incomplete Information Tables Domestic conference

    2009.07 

  • Attribute Reduction in Dominance-Based Rough Set Approach Domestic conference

    2008.09 

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Charge of on-campus class subject

  • 知識情報システム学演習3

    2024   Weekly class   Undergraduate

  • 機械学習特論

    2024   Weekly class   Graduate school

  • 学際情報学特別研究1

    2024   Intensive lecture   Graduate school

  • 学際情報学特別演習1

    2024   Intensive lecture   Graduate school

  • 知識情報システム学英語演習

    2024   Intensive lecture   Undergraduate

  • AIプログラミング

    2024   Weekly class   Undergraduate

  • 知識情報システム学演習4

    2024   Weekly class   Undergraduate

  • 学際情報学特別研究2

    2024   Intensive lecture   Graduate school

  • 学際情報学特別演習2

    2024   Intensive lecture   Graduate school

  • 知識情報システム学卒業研究

    2024   Intensive lecture   Undergraduate

  • データサイエンス特論

    2023   Weekly class   Graduate school

  • AIプログラミング

    2023   Weekly class   Undergraduate

  • 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  

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Charge of off-campus class subject

  • 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