Takeru Konishi

Student

Computational Intelligence Laboratory
Intelligent Informatics
Department of Core Informatics
Graduate School of Informatics
Osaka Metropolitan University


E-mail: sc23197z (at) st.omu.ac.jp
Address: 1-1 Gakuen-cho, Sakai, Osaka 599-8531, Japan
Phone: +81-72-254-9198
FAX: +81-72-254-9825

Research Area: Responsible AI (Transparency, Fairness, etc.), Fuzzy Classifier Design, Evolutionary Multi-objective Optimization
A member of IEEE, the Japanese Society for Artificial Intelligence, Japan Society for Fuzzy Theory and Intelligent Informatics, and the Japanese Society for Evolutionary Computation

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I graduated from Osaka Prefecture University, Osaka, Japan in 2023.

Education
April 2023 – Now ： Graduate School of Informatics, Osaka Metropolitan University, Osaka, Japan.
(Advisor: Prof. Dr. Yusuke Nojima)
April 2019 – March 2023 ： School of Electrical and Electronic Engineering, College of Engineering, Osaka Prefecture University, Osaka, Japan.

Professional
November 2024 – Now ： Research Assistant, Osaka Metropolitan University, Japan.
November 2023 – January 2024 ： Research Assistant, Osaka Metropolitan University, Japan.
January 2023 – March 2023 ： Research Assistant, Osaka Prefecture University, Japan.

Awards Academic Activities
September 2022 – Now ： Representative of Young Researchers Association, Japan Society for Fuzzy Theory and Intelligent Informatics

Grant and Fund


Journal Papers

(in Japanese)
    2024
  1. T. Konishi, N. Masuyama, and Y. Nojima, Verification of the Effectiveness of Using an Archive Population on Two-Stage Fuzzy Genetics-Based Machine Learning, Journal of Japan Society for Fuzzy Theory and Intelligent Informatics, vol. 36, no. 1, pp. 565-570, 2024．

Conference Papers

    2024
  1. T. Konishi, N. Masuyama, J. Casillas, and Y. Nojima, "Fairness-aware classifier design via multi-objective fuzzy genetics-based machine learning," in Proc. of the 2024 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), pp. 1-8, Yokohama, Japan, Jun. 30 - Jul. 5, 2024.

    2. 2023
  2. T. Konishi, N. Masuyama, and Y. Nojima, "Effects of complexity enhancements on the search performance of multiobjective fuzzy genetics-based machine learning," in Proc. of the 20th World Congress of the International Fuzzy Systems Association (IFSA), pp. 38-45, Daegu, Korea, Aug. 20-23, 2023. (Best Paper Award)

    3. 2022
  3. T. Konishi, N. Masuyama, and Y. Nojima, "Effects of accuracy-based single-objective optimization in multiobjective fuzzy genetics-based machine learning," in Proc. of the 2022 Joint 12th International Conference on Soft Computing and Intelligent Systems and 23rd International Symposium on Advanced Intelligent Systems (SCIS&ISIS), pp. 1-6, Mie, Japan, Nov. 29 - Dec. 2, 2022.

Others

    2024
  1. 小西豪, 増山直輝, 能島裕介, MAP-Elitesを用いたファジィ識別器設計の検討, 第40回ファジィシステムシンポジウム講演論文集, 名古屋, 9月, (2024)． (Special Session Presentation Award)

    2. 2023
  2. 小西豪, 増山直輝, 能島裕介, アーカイブ個体群を用いた2段階ファジィ遺伝的機械学習の検討, 第39回ファジィシステムシンポジウム講演論文集, 軽井沢, 9月, (2023)． (Special Session Presentation Award)
    3. 2022
  3. 小西豪, 増山直輝, 能島裕介, 石渕久生, 精度に特化した最適化を最初に行う多目的ファジィ遺伝的機械学習, 第38回ファジィシステムシンポジウム講演論文集, オンライン, 9月, (2022)．