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KATOH SHINYA  加藤 慎也

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Shinya Katoh  加藤 慎也

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Researcher Number 60984523
Other IDs
Affiliation (Current) 2026: 東京大学, 地震研究所, 特任研究員
Affiliation (based on the past Project Information) *help 2023 – 2025: 東京大学, 地震研究所, 特任研究員
Review Section/Research Field
Principal Investigator
Basic Section 17040:Solid earth sciences-related / 0204:Astronomy, earth and planetary science, and related fields
Except Principal Investigator
Medium-sized Section 60:Information science, computer engineering, and related fields
Keywords
Principal Investigator
震源決定 / 深層学習 / 深部低周波地震 / 波動伝播 / 発生メカニズム / 発震機構解 / イベント検出 / Vision Transformer / マルチステーション波形解析 / Vison Transformer … More
Except Principal Investigator
… More スロー地震 / ビッグデータ / 深層学習 / 国際共同研究 / 人工知能 / 地震 Less
  • Research Projects

    (3 results)
  • Research Products

    (21 results)
  • Co-Researchers

    (3 People)
  •  深層学習による次世代型震源決定システムの構築Principal Investigator

    • Principal Investigator
      加藤 慎也
    • Project Period (FY)
      2025 – 2027
    • Research Category
      Grant-in-Aid for Early-Career Scientists
    • Review Section
      Basic Section 17040:Solid earth sciences-related
    • Research Institution
      The University of Tokyo
  •  Investigating the Mechanism of Deep Low-Frequency Earthquakes Occurring in Non-Volcanic Inland AreasPrincipal Investigator

    • Principal Investigator
      Shinya Katoh
    • Project Period (FY)
      2023 – 2024
    • Research Category
      Grant-in-Aid for Research Activity Start-up
    • Review Section
      0204:Astronomy, earth and planetary science, and related fields
    • Research Institution
      The University of Tokyo
  •  International Joint Research on Seismological Big Data Analysis Techniques Using Artificial Intelligence

    • Principal Investigator
      長尾 大道
    • Project Period (FY)
      2023 – 2026
    • Research Category
      Fund for the Promotion of Joint International Research (International Collaborative Research)
    • Review Section
      Medium-sized Section 60:Information science, computer engineering, and related fields
    • Research Institution
      The University of Tokyo

All 2025 2024

All Journal Article Presentation

  • [Journal Article] A deep learning approach to identifying neural SDE models using the signature kernel2025

    • Author(s)
      Kusui, T., H. Nagao, S. Ito, S. Katoh, and T. Tokuda
    • Journal Title

      2025 the 28th International Conference on Information Fusion (FUSION)

      Volume: -

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-23KK0181
  • [Journal Article] Towards Addressing Challenges in Seismic Wave Arrival-Time Picking Models Using Deep Learning2024

    • Author(s)
      加藤 慎也、長尾 大道、今泉 允聡
    • Journal Title

      Proceedings of the Annual Conference of JSAI

      Volume: JSAI2024 Issue: 0 Pages: 3L1OS3a02-3L1OS3a02

    • DOI

      10.11517/pjsai.JSAI2024.0_3L1OS3a02

    • ISSN
      2758-7347
    • Language
      Japanese
    • Peer Reviewed / Open Access
    • Data Source
      KAKENHI-PROJECT-23K19061
  • [Journal Article] Neural phase picker trained on the Japan meteorological agency unified earthquake catalog2024

    • Author(s)
      Naoi Makoto、Tamaribuchi Koji、Shimojo Kengo、Katoh Shinya、Ohyanagi Shukei
    • Journal Title

      Earth, Planets and Space

      Volume: 76 Issue: 1 Pages: 150-150

    • DOI

      10.1186/s40623-024-02091-8

    • Peer Reviewed / Open Access / Int'l Joint Research
    • Data Source
      KAKENHI-PLANNED-21H05201, KAKENHI-PUBLICLY-24H01027, KAKENHI-PROJECT-20K14565, KAKENHI-PROJECT-23K19061
  • [Presentation] 連続時間生成モデルによる地震波形データに基づくスロー地震の確率微分方程式表現の獲得2025

    • Author(s)
      楠井 俊朗,長尾 大道,伊藤 伸一,加藤 慎也,徳田 智磯
    • Organizer
      日本統計学会春季集会
    • Data Source
      KAKENHI-PROJECT-23KK0181
  • [Presentation] 深層学習を用いた走時読み取りモデルの問題解決に向けて2024

    • Author(s)
      加藤 慎也*,長尾 大道,今泉 允聡
    • Organizer
      第38回人工知能学会全国大会
    • Data Source
      KAKENHI-PROJECT-23K19061
  • [Presentation] シグネチャ法を用いたスロー地震の特徴抽出2024

    • Author(s)
      楠井 俊朗,長尾 大道,伊藤 伸一,徳田 智磯,加藤 慎也
    • Organizer
      統計関連学会連合大会
    • Data Source
      KAKENHI-PROJECT-23KK0181
  • [Presentation] 深層学習を用いた複数トレースを入力とする深部低周波地震検知手法の開発2024

    • Author(s)
      加藤 慎也,長尾 大道, 飯尾 能久,片尾 浩,澤田 麻沙代,冨阪 和秀
    • Organizer
      日本地球惑星科学連合大会
    • Data Source
      KAKENHI-PROJECT-23KK0181
  • [Presentation] 人工知能に基づく地震波形表現モデル獲得2024

    • Author(s)
      長尾 大道,加藤 慎也,楠井 俊朗
    • Organizer
      Conductivity Anomaly研究会
    • Invited
    • Data Source
      KAKENHI-PROJECT-23KK0181
  • [Presentation] 深層学習を用いた複数トレースを入力とする深部低周波地震検知手法の開発2024

    • Author(s)
      加藤慎也
    • Organizer
      2023年度 固体地球科学データ同化/データ駆動型地球科学に関する研究会
    • Data Source
      KAKENHI-PROJECT-23K19061
  • [Presentation] ラベル不均衡問題への対処による深層学習を用いた走時読み取りモデルの強化2024

    • Author(s)
      加藤 慎也,長尾 大道,今泉 允聡
    • Organizer
      日本地震学会秋季大会
    • Data Source
      KAKENHI-PROJECT-23KK0181
  • [Presentation] Acquiring a Stochastic Differential Equation Representation to Characterize Tremors from Seismic Waveform Data Using Deep Learning2024

    • Author(s)
      楠井 俊朗,長尾 大道,伊藤 伸一,加藤 慎也,徳田 智磯
    • Organizer
      日本地震学会秋季大会
    • Data Source
      KAKENHI-PROJECT-23KK0181
  • [Presentation] Enhancement of Phase Picking Models Using Deep Learning by Addressing the Label Imbalance Problem2024

    • Author(s)
      Shinya, K.*, H. Nagao, M. Imaizumi and Y. Iio
    • Organizer
      American Geophysical Union (AGU) Fall Meeting 2024
    • Data Source
      KAKENHI-PROJECT-23K19061
  • [Presentation] 最適輸送理論に基づく地震波形データからのイベント検出とその分類2024

    • Author(s)
      柳田 真輝,徳田 智磯,加藤 慎也,長尾 大道
    • Organizer
      日本地球惑星科学連合大会
    • Data Source
      KAKENHI-PROJECT-23KK0181
  • [Presentation] Acquiring a Stochastic Differential Equation Representation to Characterize Low-Frequency Tremors from Seismic Waveform Data Using Deep Learning2024

    • Author(s)
      Kusui, T., H. Nagao, S. Ito,S. Katoh and T. Tokuda
    • Organizer
      American Geophysical Union Fall Meeting
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-23KK0181
  • [Presentation] Development of deep-learning methods for seismic event detection in seafloor DAS data: creation of training/validation datasets2024

    • Author(s)
      Mendo Perez, G. M., H. Nagao, S. Katoh, and M. Shinohara
    • Organizer
      日本地震学会秋季大会
    • Data Source
      KAKENHI-PROJECT-23KK0181
  • [Presentation] Use of sequential models to detect seismic event detection and phase identification using Distributed Acoustic Sensing records of seafloor cable in Sanriku2024

    • Author(s)
      Mendo-Perez, G., H. Nagao, S. Katoh and M. Shinohara
    • Organizer
      American Geophysical Union Fall Meeting
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-23KK0181
  • [Presentation] 深層学習を用いた走時読み取りモデルの問題解決に向けて2024

    • Author(s)
      加藤 慎也,長尾 大道,今泉 允聡
    • Organizer
      人工知能学会全国大会
    • Data Source
      KAKENHI-PROJECT-23KK0181
  • [Presentation] 深層学習を用いた複数トレースを入力とする深部低周波地震検知手法の開発2024

    • Author(s)
      加藤 慎也*,長尾 大道, 飯尾 能久,片尾 浩,澤田 麻沙代,冨阪 和秀
    • Organizer
      日本地球惑星科学連合2024年大会
    • Data Source
      KAKENHI-PROJECT-23K19061
  • [Presentation] Enhancement of Phase Picking Models Using Deep Learning by Addressing the Label Imbalance Problem2024

    • Author(s)
      Katoh, S., H. Nagao, M. Imaizumi and Y. Iio
    • Organizer
      American Geophysical Union Fall Meeting
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-23KK0181
  • [Presentation] 深層学習を用いた複数トレースを入力とする深部低周波地震検知手法の開発2024

    • Author(s)
      加藤 慎也、長尾 大道、飯尾 能久、片尾 浩、澤田 麻沙代、冨阪 和秀
    • Organizer
      日本地球惑星科学連合2024年大会
    • Data Source
      KAKENHI-PROJECT-23K19061
  • [Presentation] ラベル不均衡問題への対処による深層学習を用いた走時読み取りモデルの強化2024

    • Author(s)
      加藤 慎也*,長尾 大道,今泉 允聡,
    • Organizer
      日本地震学会2024年度秋季大会
    • Data Source
      KAKENHI-PROJECT-23K19061
  • 1.  長尾 大道 (80435833)
    # of Collaborated Projects: 1 results
    # of Collaborated Products: 13 results
  • 2.  徳田 智磯 (30748786)
    # of Collaborated Projects: 1 results
    # of Collaborated Products: 4 results
  • 3.  Mendo・Perez Gerardo・Manuel (10978779)
    # of Collaborated Projects: 1 results
    # of Collaborated Products: 1 results

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