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Yoshida Keisuke  吉田 啓佑

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… Alternative Names

吉田 啓佑  ヨシダ ケイスケ

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Researcher Number 00912560
Affiliation (Current) 2026: 学校法人文京学院 文京学院大学, 経営学部, 助教
Affiliation (based on the past Project Information) *help 2024: 学校法人文京学院 文京学院大学, 経営学部, 助教
Review Section/Research Field
Principal Investigator
Basic Section 07100:Accounting-related
Keywords
Principal Investigator
HAN / 深層学習 / テキストマイニング / MD&A / 機械学習 / 財務諸表不正
  • Research Projects

    (1 results)
  • Research Products

    (8 results)
  • Co-Researchers

    (2 People)
  •  財務諸表不正を検出する深層学習モデルの研究Principal Investigator

    • Principal Investigator
      吉田 啓佑
    • Project Period (FY)
      2024 – 2026
    • Research Category
      Grant-in-Aid for Scientific Research (C)
    • Review Section
      Basic Section 07100:Accounting-related
    • Research Institution
      Bunkyo Gakuin University

All 2025 2024

All Journal Article Presentation Patent

  • [Journal Article] 機械学習を用いた財務諸表不正検出 : 日本からの実証2025

    • Author(s)
      吉田啓佑,中島真澄
    • Journal Title

      文京学院大学総合研究所紀要

      Volume: 25 Pages: 125-139

    • Open Access
    • Data Source
      KAKENHI-PROJECT-24K05179
  • [Patent] 財務諸表不正推定装置、財務諸表不正推定方法及びプログラム2024

    • Inventor(s)
      藤田邦彦,中島真澄,吉田啓佑
    • Industrial Property Rights Holder
      藤田邦彦,中島真澄,吉田啓佑
    • Industrial Property Rights Type
      特許
    • Filing Date
      2024
    • Acquisition Date
      2024
    • Data Source
      KAKENHI-PROJECT-24K05179
  • [Presentation] 機械学習を用いたハイブリッド型不正検知モデルの有効性:日本企業における構造化・非構造化情報の統合分析2025

    • Author(s)
      中島真澄,吉田啓佑
    • Organizer
      日本経済会計学会第42回年次大会
    • Data Source
      KAKENHI-PROJECT-24K05179
  • [Presentation] Have Key Audit Matters (KAM) disclosures changed the readability of MD&A and KAM?: An empirical analysis by Japanese firms applying IFRS2025

    • Author(s)
      Masumi Nakashima, Keisuke Yoshida
    • Organizer
      American Accounting Association 2025 Annual Meeting
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-24K05179
  • [Presentation] Does Text Vectorization Provide New Insights into Financial Statement Fraud During COVID-19?2025

    • Author(s)
      Masumi Nakashima, Keisuke Yoshida
    • Organizer
      American Accounting Association 2025 Annual Meeting
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-24K05179
  • [Presentation] Do Key Audit Matters (KAM) Disclosure Characteristics Affect Perceived Audit Quality? Evidence from Japan2025

    • Author(s)
      Masumi Nakashima, Keisuke Yoshida
    • Organizer
      American Accounting Association 2025 Spark Meeting
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-24K05179
  • [Presentation] Can MD&A Disclosures Explain Fraudulent Financial Statements?: Evidence Based on the Performance Comparison of Machine Learning Models from Japan2024

    • Author(s)
      Masumi Nakashima, Keisuke Yoshida
    • Organizer
      American Accounting Association 2024 Annual Meeting
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-24K05179
  • [Presentation] Vectorization of Management Discussion and Analysis by Machine Learning: Evidence from Restatements by Fraudulent Firms in Japan2024

    • Author(s)
      Masumi Nakashima, Keisuke Yoshida
    • Organizer
      American Accounting Association 2024 Spark Meeting
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-24K05179
  • 1.  藤田 邦彦 (70466407)
    # of Collaborated Projects: 1 results
    # of Collaborated Products: 0 results
  • 2.  中島 真澄 (90249219)
    # of Collaborated Projects: 1 results
    # of Collaborated Products: 7 results

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