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J-GLOBAL ID:201301034043950269   Update date: May. 13, 2024

Mikawa Kenta

ミカワ ケンタ | Mikawa Kenta
Affiliation and department:
Job title: Research Associate
Research field  (2): Safety engineering ,  Social systems engineering
Research keywords  (4): Data Science ,  machine learning ,  pattern recognition ,  regularization
Research theme for competitive and other funds  (6):
  • 2023 - 2026 Construction of a relational data analysis model integrating attribute information and its application to marketing analysis
  • 2021 - 2025 データ駆動型社会の基盤をなす次世代実験計画技術の開発と実証的評価
  • 2016 - 2020 Establishment of Automatic Word Segmentation Technology from Large-scale Text Data Independent of Language
  • 2014 - 2017 Fundamental study on business analytics technologies on big data era
  • 2014 - 2017 A Study on Large Scale Data Analysis Method and Theoretical Evaluation based on Distance Metric Learning
Show all
Papers (44):
  • Kenta Mikawa, Manabu Kobayashi, Tomoyuki Sasaki, Akiko Manada. A study on latent structural models for binary relational data with attribute information. Nonlinear Theory and Its Applications, IEICE. 2024. 15. 2. 335-353
  • Mikawa Kenta, Kobayashi Manabu, Sasaki Tomoyuki, Manada Akiko. A Study on Latent Structural Models for Binary Relational Data with Attribute Information. Proceedings of 2023 International Symposium on Nonlinear Theory and Its Applications. 2023. 198-201
  • Kenta Mikawa, Manabu Kobayashi, Masayuki Goto, Shigeichi Hirasawa. Learning and Estimation of Latent Structural Models Based on between-Data Metrics. 2022 IEEE International Conference on Systems, Man, and Cybernetics (SMC). 2022
  • AOKI Shogo, MIKAWA Kenta, GOTO Masayuki. Web Browsing History-based Attribute Labeling for Consumer Targeting. Journal of Japan Industrial Management Association. 2022. 73. 1. 1-14
  • 桑田 和, 三川 健太, 佐々木 北都, 後藤 正幸. 機械学習アプローチに基づく中古ファッションアイテムの価格保持期間適正化モデルの提案と実証的効果検証. 情報処理学会論文誌. 2022. 63. 1. 218-230
more...
Books (1):
  • 情報検索 : 検索エンジンの実装と評価
    森北出版 2020 ISBN:9784627817616
Lectures and oral presentations  (211):
  • Online Flipped Conference Based Data Science Education Program and Its Educational Effectiveness in Multi-University Collaboration
    (The 7th Asian Conference of Management Science and Application (ACMSA 2023) 2023)
  • 不均衡データに対するMDOの精度向上に関する一考察
    (日本経営工学会 2023年秋季大会 2023)
  • A Study on High-dimensional Data Visualization Methods Based on Angles
    (情報理論とその応用シンポジウム予稿集(CD-ROM) 2023)
  • 属性情報付き関係データを対象とした潜在構造モデルに関する一考察
    (日本経営工学会 2022年秋季大会 2022)
  • Learning and Estimation of Latent Structural Models Based on between-Data Metrics
    (2022 IEEE International Conference on Systems, Man, and Cybernetics (SMC) 2022)
more...
Education (2):
  • 2010 - 2013 Graduate school of Waseda University School of Creative Science and Engineering Department of Industrial and Management Systems Engineering
  • 2005 - 2007 Musashi Institute of Technology Graduate School of Environmental and Information Studies Environmental and Information Studies
Work history (4):
  • 2022/04 - 現在 Tokyo City University Faculty of Informatics Department of Information Systems Associate professor
  • 2019/04 - 2022/03 Shonan Institute of Technology Faculty of Engineering Associate professor
  • 2016/04 - 2019/03 Shonan Institute of Technology Faculty of Engineering lecturer
  • 2013/04 - 2016/03 Waseda University Faculty of Creative and Engineering research associate
Committee career (4):
  • 2023/06 - 現在 日本経営工学会 広報委員
  • 2021/06 - 2023/05 電子情報通信学会 会誌編集委員
  • 2021/06 - 2023/05 日本経営工学会 庶務委員
  • 2015/06 - 2019/05 日本経営工学会 大会委員
Awards (4):
  • 2022/08 - コンピュータ利用教育学会(CIEC) 2022 PCカンファレンス 優秀論文賞 反転ゼミ形式による多大学で連携するオンライン研究交流の試み - データサイエンス領域のオンラインゼミを事例として -
  • 2021/03 - Asian Journal of Management Science and Applications Encouragement Paper Award of AAMSA2020 Factorisation machines considering the latent characteristics behind target data
  • 2016/05 - Japan Industrial Management Association Best Paper Award Accurate Parameter Estimation Based on Latent Class Model Estimated by Combining Both Evaluation and Purchase Histories
  • 2015/05 - Japan Industrial Management Association Best Paper Award 大規模テキストデータの分類体系化のための機械学習に基づく半自動分類法の提案
Association Membership(s) (3):
日本経営工学会 ,  電子情報通信学会 ,  IEEE
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