Matsui Kota 松井孝太

Researcher Number	50737111
Other IDs	https://orcid.org/0009-0003-6276-8445
Affiliation (Current)	2025: 京都大学, 医学研究科, 准教授
Affiliation (based on the past Project Information) *help	2020 – 2025: 名古屋大学, 医学系研究科, 講師 2019: 国立研究開発法人理化学研究所, 革新知能統合研究センター, 特別研究員
Review Section/Research Field	Principal Investigator Basic Section 61030:Intelligent informatics-related Except Principal Investigator Basic Section 60030:Statistical science-related / Sections That Are Subject to Joint Review: Basic Section60030:Statistical science-related , Basic Section61030:Intelligent informatics-related / Basic Section 61030:Intelligent informatics-related
Keywords	Principal Investigator 能動学習 / 転移学習 / 適応的実験計画 / 能動的転移学習 / スモールデータ / 機械学習 / 能動的レベル集合推定 / ベイズ最適化 Except Principal Investigator 機械学習 / メタアナリシス … More / 数理計画法 / 感度解析 / 操作変数 / 交絡因子 / 能動的評価 / 能動学習 / 情報転送 / 転移学習 / 多ドメインデータ / 最適輸送 / 最適化 / 機械学修 / 数理統計 / 数理統計学 / データサイエンス / AI Less

Sensitivity analysis in incomplete data analysis arising in medical research
- Principal Investigator
  
  服部聡
- Project Period (FY)
  2025 – 2028
- Research Category
  
  Grant-in-Aid for Scientific Research (B)
- Review Section
  
  Basic Section 60030:Statistical science-related
  Basic Section 61030:Intelligent informatics-related
  Sections That Are Subject to Joint Review: Basic Section60030:Statistical science-related , Basic Section61030:Intelligent informatics-related
- Research Institution
  The University of Osaka
Active Evaluation of Machine Learning Models
- Principal Investigator
  
  原聡
- Project Period (FY)
  2024 – 2027
- Research Category
  
  Grant-in-Aid for Scientific Research (B)
- Review Section
  
  Basic Section 61030:Intelligent informatics-related
  Basic Section 60030:Statistical science-related
  Sections That Are Subject to Joint Review: Basic Section60030:Statistical science-related , Basic Section61030:Intelligent informatics-related
- Research Institution
  The University of Electro-Communications
  Osaka University
実験科学研究の効率化のための能動学習と転移学習手法の開発Principal Investigator
- Principal Investigator
  
  松井孝太
- Project Period (FY)
  2024 – 2027
- Research Category
  
  Grant-in-Aid for Early-Career Scientists
- Review Section
  
  Basic Section 61030:Intelligent informatics-related
- Research Institution
  Nagoya University
小データな多ドメイン間での知識共有のための機械学習手法の開発とその応用Principal Investigator
- Principal Investigator
  
  松井孝太
- Project Period (FY)
  2020 – 2024
- Research Category
  
  Grant-in-Aid for Early-Career Scientists
- Review Section
  
  Basic Section 61030:Intelligent informatics-related
- Research Institution
  Nagoya University
Statistical Learning with feature extraction and information integration of High-dimensional, large-scale, multi-domain data
- Principal Investigator
  
  Kanamori Takafumi
- Project Period (FY)
  2019 – 2023
- Research Category
  
  Grant-in-Aid for Scientific Research (B)
- Review Section
  
  Basic Section 60030:Statistical science-related
- Research Institution
  Tokyo Institute of Technology

All 2025 2024 2023 2022 2021 2020 2019

All Journal Article Presentation Book Patent

[Book] 転移学習2024
- Author(s)
  松井孝太，熊谷亘
- Total Pages
  416
- Publisher
  講談社
- Data Source
  KAKENHI-PROJECT-20K19871
[Book] 転移学習2024
- Author(s)
  松井孝太，熊谷亘
- Total Pages
  416
- Publisher
  講談社
- Data Source
  KAKENHI-PROJECT-24K20836
[Book] ベイズ最適化ー適応的実験計画の基礎と実践ー2023
- Author(s)
  今村秀明, 松井孝太
- Total Pages
  316
- Publisher
  近代科学社
- ISBN
  9784764906631
- Data Source
  KAKENHI-PROJECT-20K19871
[Book] データ分析の進め方及びAI・機械学習導入の指南～データ収集・前処理・分析・評価結果の実務レベル対応～2020
- Author(s)
  荻原大陸, 長橋賢吾, 井上忠治, 松井孝太他
- Total Pages
  390
- Publisher
  情報機構
- ISBN
  9784865021912
- Data Source
  KAKENHI-PROJECT-20K19871
[Journal Article] Establishment of a machine learning model for predicting splenic hilar lymph node metastasis2025
- Author(s)
  Ishizu Kenichi、Takahashi Satoshi、Kouno Nobuji、Takasawa Ken、Takeda Katsuji、Matsui Kota、Nishino Masashi、Hayashi Tsutomu、Yamagata Yukinori、Matsui Shigeyuki、Yoshikawa Takaki、Hamamoto Ryuji
- Journal Title
  
  npj Digital Medicine
  
  Volume: 8 Issue: 1 Pages: 1-12
- DOI
  10.1038/s41746-025-01480-x
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-20K19871, KAKENHI-PROJECT-24K20836
[Journal Article] Transfer learning from first-principles calculations to experiments with chemistry-informed domain transformation2025
- Author(s)
  Yahagi Yuta、Obuchi Kiichi、Kosaka Fumihiko、Matsui Kota
- Journal Title
  
  Machine Learning: Science and Technology
  
  Volume: 6 Issue: 2 Pages: 025026-025026
- DOI
  10.1088/2632-2153/adcdc0
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-20K19871, KAKENHI-PROJECT-24K20836
[Journal Article] Evaluating treatment effect modifiers using data from randomized two-sequence, two-period crossover clinical trials: application to a diabetes study2025
- Author(s)
  Emoto Ryo、Igeta Masataka、Matsui Kota、Ishii Kiyoaki、Takamura Toshinari、Matsui Shigeyuki
- Journal Title
  
  Journal of the Royal Statistical Society Series C: Applied Statistics
  
  Volume: - Issue: 3 Pages: 1-16
- DOI
  10.1093/jrsssc/qlae072
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-21H04874, KAKENHI-PROJECT-21K08573, KAKENHI-PROJECT-20K19871, KAKENHI-PROJECT-24K20836
[Journal Article] Prediction of the neurological outcomes post-cardiac arrest: A prospective validation of the CAST and rCAST2024
- Author(s)
  Kikutani Kazuya、Nishikimi Mitsuaki、Matsui Kota、Sakurai Atsushi、Hayashida Kei、Kitamura Nobuya、Tagami Takashi、Nakada Taka-aki、Matsui Shigeyuki、Ohshimo Shinichiro、Shime Nobuaki
- Journal Title
  
  The American Journal of Emergency Medicine
  
  Volume: 75 Pages: 46-52
- DOI
  10.1016/j.ajem.2023.10.028
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-20K19871, KAKENHI-PROJECT-20H03782, KAKENHI-PROJECT-21H04874
[Journal Article] Feature extraction and spatial imaging of synchrotron radiation X-ray diffraction patterns using unsupervised machine learning2024
- Author(s)
  Kutsukake Kentaro、Kamioka Takefumi、Matsui Kota、Takeuchi Ichiro、Segi Takashi、Sasaki Takuo、Fujikawa Seiji、Takahasi Masamitu
- Journal Title
  
  Science and Technology of Advanced Materials: Methods
  
  Volume: 4 Issue: 1
- DOI
  10.1080/27660400.2024.2336402
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-20K19871
[Journal Article] Postoperative stroke and neurological outcomes in the early phase after revascularization surgeries for moyamoya disease: an age-stratified comparative analysis2021
- Author(s)
  Araki Yoshio、Yokoyama Kinya、Uda Kenji、Kanamori Fumiaki、Kurimoto Michihiro、Shiba Yoshiki、Mamiya Takashi、Nishihori Masahiro、Izumi Takashi、Sumitomo Masaki、Okamoto Sho、Matsui Kota、Emoto Ryo、Wakabayashi Toshihiko、Matsui Shigeyuki、Natsume Atsushi
- Journal Title
  
  Neurosurgical Review
  
  Volume: - Issue: 5 Pages: 2785-2795
- DOI
  10.1007/s10143-020-01459-0
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-20K19871
[Journal Article] The rCAST score is useful for estimating the neurological prognosis in pediatric patients with post-cardiac arrest syndrome before ICU admission: External validation study using a nationwide prospective registry2021
- Author(s)
  Yasuda Yuma、Nishikimi Mitsuaki、Matsui Kota、Numaguchi Atsushi、Nishida Kazuki、Emoto Ryo、Matsui Shigeyuki、Matsuda Naoyuki
- Journal Title
  
  Resuscitation
  
  Volume: 168 Pages: 103-109
- DOI
  10.1016/j.resuscitation.2021.09.025
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-20K19871, KAKENHI-PROJECT-21H04874
[Journal Article] Adaptive Bayesian optimization for epitaxial growth of Si thin films under various constraints2020
- Author(s)
  Osada Keiichi、Kutsukake Kentaro、Yamamoto Jun、Yamashita Shigeo、Kodera Takashi、Nagai Yuta、Horikawa Tomoyuki、Matsui Kota、Takeuchi Ichiro、Ujihara Toru
- Journal Title
  
  Materials Today Communications
  
  Volume: 25 Pages: 101538-101538
- DOI
  10.1016/j.mtcomm.2020.101538
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-20K19871
[Journal Article] エンジニアの知識と機械学習の融合シリコンエピタキシャル成長プロセスへのベイズ最適化応用2020
- Author(s)
  沓掛健太朗、長田圭一、松井孝太、山本純
- Journal Title
  
  応用物理
  
  Volume: 89 Pages: 711-714
- NAID
  130007952790
- Data Source
  KAKENHI-PROJECT-20K19871
[Journal Article] Variable Selection for Nonparametric Learning with Power Series Kernels2019
- Author(s)
  Matsui Kota、Kumagai Wataru、Kanamori Kenta、Nishikimi Mitsuaki、Kanamori Takafumi
- Journal Title
  
  Neural Computation
  
  Volume: 31 Issue: 8 Pages: 1718-1750
- DOI
  10.1162/neco_a_01212
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-17K12653, KAKENHI-PROJECT-15H01678, KAKENHI-PROJECT-19H04071, KAKENHI-PROJECT-16K00044
[Patent] 高分子向けの転移学習（事前学習済モデル活用）に関する機械学習システム2024
- Inventor(s)
  松井孝太，小渕喜一，矢作裕太，當山清彦
- Industrial Property Rights Holder
  東海国立大学機構
- Industrial Property Rights Type
  特許
- Filing Date
  2024
- Data Source
  KAKENHI-PROJECT-24K20836
[Patent] 高分子向けの転移学習（事前学習済モデル活用）に関する機械学習システム2024
- Inventor(s)
  松井孝太，小渕喜一，矢作裕太，當山清彦
- Industrial Property Rights Holder
  東海国立大学機構
- Industrial Property Rights Type
  特許
- Filing Date
  2024
- Data Source
  KAKENHI-PROJECT-20K19871
[Presentation] 転移学習を用いたヒストリカルコントロールデータの動的利用2024
- Author(s)
  松井孝太, 大東智洋, 土田潤, 坂巻健太郎
- Organizer
  2024年度統計関連学会連合大会
- Data Source
  KAKENHI-PROJECT-24K20836
[Presentation] Sim2Real転移学習による触媒活性予測2024
- Author(s)
  矢作裕太, 小渕喜一, 高坂文彦, 松井孝太
- Organizer
  第27回情報論的学習理論ワークショップ (IBIS2024)
- Data Source
  KAKENHI-PROJECT-24K20836
[Presentation] レベルセット推定の停止基準2024
- Author(s)
  石橋英朗, 松井孝太, 沓掛健太朗, 日野英逸
- Organizer
  2024年度人工知能学会全国大会
- Data Source
  KAKENHI-PROJECT-23K28146
[Presentation] Multi-modal cascade feature transfer for polymer property prediction2024
- Author(s)
  小渕喜一, 矢作裕太, 當山清彦, 田中修吉, 松井孝太
- Organizer
  第27回情報論的学習理論ワークショップ (IBIS2024)
- Data Source
  KAKENHI-PROJECT-24K20836
[Presentation] レベルセット推定の停止基準2024
- Author(s)
  石橋英朗, 松井孝太, 沓掛健太朗, 日野英逸
- Organizer
  第38回人工知能学会全国大会
- Data Source
  KAKENHI-PROJECT-20K19871
[Presentation] Sim2Real transfer for catalyst activity prediction2024
- Author(s)
  Yuta Yahagi, Kiichi Obuchi, Fumihiko Kosaka, Kota Matsui
- Organizer
  NeurIPS 2024 Workshop on AI for Accelerated Materials Design (AI4Mat)
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-20K19871
[Presentation] インコンテキスト学習におけるTransformerの自動ドメイン適応2024
- Author(s)
  幡谷龍一郎, 松井孝太, 今泉允聡
- Organizer
  第27回情報論的学習理論ワークショップ (IBIS2024)
- Data Source
  KAKENHI-PROJECT-20K19871
[Presentation] 推定された密度比を用いる重要度重み付け共変量シフト適応の再考2024
- Author(s)
  加藤真大, 松井孝太, 井口亮
- Organizer
  第27回情報論的学習理論ワークショップ (IBIS2024)
- Data Source
  KAKENHI-PROJECT-20K19871
[Presentation] 転移学習の基本概念と統計的学習理論からの視点2024
- Author(s)
  松井孝太
- Organizer
  日本ロボット学会第154回ロボット工学セミナー「数理に基づく学習とその応用」
- Invited
- Data Source
  KAKENHI-PROJECT-24K20836
[Presentation] Automatic Domain Adaptation by Transformers in In-Context Learning2024
- Author(s)
  Ryuichiro Hataya, Kota Matsui, Masaaki Imaizumi
- Organizer
  1st ICML Workshop on In-Context Learning
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-24K20836
[Presentation] Sim2Real転移学習による触媒活性予測2024
- Author(s)
  矢作裕太, 小渕喜一, 高坂文彦, 松井孝太
- Organizer
  第27回情報論的学習理論ワークショップ (IBIS2024)
- Data Source
  KAKENHI-PROJECT-20K19871
[Presentation] 臨床試験における過去データ適応的利用のための重要度重み付き推定法2024
- Author(s)
  松井孝太, 大東智洋, 金森敬文, 土田潤, 坂巻顕太郎
- Organizer
  第27回情報論的学習理論ワークショップ (IBIS2024)
- Data Source
  KAKENHI-PROJECT-20K19871
[Presentation] Sim2Real transfer for catalyst activity prediction2024
- Author(s)
  Yuta Yahagi, Kiichi Obuchi, Fumihiko Kosaka, Kota Matsui
- Organizer
  NeurIPS 2024 Workshop on AI for Accelerated Materials Design (AI4Mat)
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-24K20836
[Presentation] Multi-modal cascade feature transfer for polymer property prediction2024
- Author(s)
  小渕喜一, 矢作裕太, 當山清彦, 田中修吉, 松井孝太
- Organizer
  第27回情報論的学習理論ワークショップ (IBIS2024)
- Data Source
  KAKENHI-PROJECT-20K19871
[Presentation] 臨床試験における過去データ適応的利用のための重要度重み付き推定法2024
- Author(s)
  松井孝太, 大東智洋, 金森敬文, 土田潤, 坂巻顕太郎
- Organizer
  第27回情報論的学習理論ワークショップ (IBIS2024)
- Data Source
  KAKENHI-PROJECT-24K20836
[Presentation] 推定された密度比を用いる重要度重み付け共変量シフト適応の再考2024
- Author(s)
  加藤真大, 松井孝太, 井口亮
- Organizer
  第27回情報論的学習理論ワークショップ (IBIS2024)
- Data Source
  KAKENHI-PROJECT-24K20836
[Presentation] インコンテキスト学習におけるTransformerの自動ドメイン適応2024
- Author(s)
  幡谷龍一郎, 松井孝太, 今泉允聡
- Organizer
  第27回情報論的学習理論ワークショップ (IBIS2024)
- Data Source
  KAKENHI-PROJECT-24K20836
[Presentation] 転移学習を用いたヒストリカルコントロールデータの動的利用2024
- Author(s)
  松井孝太, 大東智洋, 土田潤, 坂巻健太郎
- Organizer
  2024年度統計関連学会連合大会
- Data Source
  KAKENHI-PROJECT-20K19871
[Presentation] 臨床試験における過去データ適応的利用のための重要度重み付き推定法2024
- Author(s)
  松井孝太, 大東智洋, 金森敬文, 土田潤, 坂巻顕太郎
- Organizer
  第27回情報論的学習理論ワークショップ（IBIS2024）
- Data Source
  KAKENHI-PROJECT-23K28146
[Presentation] レベルセット推定の停止基準2024
- Author(s)
  石橋英朗, 松井孝太, 沓掛健太朗, 日野英逸
- Organizer
  第38回人工知能学会全国大会
- Data Source
  KAKENHI-PROJECT-24K20836
[Presentation] 転移学習の基本概念と統計的学習理論からの視点2024
- Author(s)
  松井孝太
- Organizer
  日本ロボット学会第154回ロボット工学セミナー「数理に基づく学習とその応用」
- Invited
- Data Source
  KAKENHI-PROJECT-20K19871
[Presentation] Automatic Domain Adaptation by Transformers in In-Context Learning2024
- Author(s)
  Ryuichiro Hataya, Kota Matsui, Masaaki Imaizumi
- Organizer
  1st ICML Workshop on In-Context Learning
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-20K19871
[Presentation] Multi-modal cascade feature transfer for polymer property prediction2024
- Author(s)
  Keiichi Obuchi, Yuta Yahagi, Kiyohiko Kosaka, Shukichi Tanaka, Kota Matsui
- Organizer
  NeurIPS 2024 Workshop on AI for Accelerated Materials Design (AI4Mat)
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-20K19871
[Presentation] Multi-modal cascade feature transfer for polymer property prediction2024
- Author(s)
  Kiichi Obuchi, Yuta Yahagi, Kiyohiko Kosaka, Shukichi Tanaka, Kota Matsui
- Organizer
  NeurIPS 2024 Workshop on AI for Accelerated Materials Design (AI4Mat)
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-24K20836
[Presentation] Local Acquisition Function for Active Level Set Estimation2023
- Author(s)
  Yuta Kokubun, Kota Matsui, Kentaro Kutsukake, Wataru Kumagai, Takafumi Kanamori
- Organizer
  NeurIPS 2023 Workshop on Adaptive Experimental Design and Active Learning in the Real World
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-20K19871
[Presentation] レベル集合推定に基づく二値分類モデルの能動的評価2023
- Author(s)
  落合拓真, 瀬野圭一朗, 松井孝太, 原聡
- Organizer
  第26回情報論的学習理論ワークショップ
- Data Source
  KAKENHI-PROJECT-23K28146
[Presentation] 局所探索型獲得関数に基づく能動的レベル集合推定法の提案2023
- Author(s)
  國分裕太; 松井孝太; 沓掛健太郎; 熊谷亘; 金森敬文
- Organizer
  情報論的学習理論ワークショップIBIS
- Data Source
  KAKENHI-PROJECT-19H04071
[Presentation] Local Acquisition Function for Active Level Set Estimation2023
- Author(s)
  Y. Kokubun, K. Matsui, K. Kutsukake, W. Kumagai, T. Kanamori
- Organizer
  NeurIPS 2023 Workshop on Adaptive Experimental Design and Active Learning in the Real World
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-19H04071
[Presentation] Active Testing of Binary Classification Model Using Level Set Estimation2023
- Author(s)
  Takuma Ochiai, Keiichiro Seno, Kota Matsui, Satoshi Hara
- Organizer
  NeurIPS 2023 Workshop on Adaptive Experimental Design and Active Learning in the Real World
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-20K19871
[Presentation] 局所探索型獲得関数に基づく能動的レベル集合推定法の提案2023
- Author(s)
  國分裕太, 松井孝太, 沓掛健太郎, 熊谷亘, 金森敬文
- Organizer
  第26回情報論的学習理論ワークショップ (IBIS2023)
- Data Source
  KAKENHI-PROJECT-20K19871
[Presentation] レベル集合推定に基づく二値分類モデルの能動的評価2023
- Author(s)
  落合拓真, 瀬野圭一朗, 松井孝太, 原聡
- Organizer
  第26回情報論的学習理論ワークショップ (IBIS2023)
- Data Source
  KAKENHI-PROJECT-20K19871
[Presentation] Active Testing of Binary Classification Model Using Level Set Estimation2023
- Author(s)
  Takuma Ochiai, Keiichiro Seno, Kota Matsui, Satoshi Hara
- Organizer
  NeurIPS 2023 Workshop on Adaptive Experimental Design and Active Learning in the Real World
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-23K28146
[Presentation] レベル集合推定に基づく二値分類モデルの能動的評価2023
- Author(s)
  落合拓真, 瀬野圭一朗, 松井孝太, 原聡
- Organizer
  第51回IBISML研究会
- Data Source
  KAKENHI-PROJECT-23K28146
[Presentation] Exploration of fluorine solvent for Minor Actinide extraction2022
- Author(s)
  Masahiko Nakase, Kota Matsui, Miki Harigai, Shinta Watanabe, Chihiro Tabata, Tomoo Yamamura, Tohru Kobayashi, Takashi Kajitani, Koichi Kakinoki, Taisuke Tsukamoto, Takashi Shimada
- Organizer
  International Solvent Extraction Conference 2022 (ISEC2022)
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-20K19871
[Presentation] 抗がん剤第I相臨床試験における最大耐用量推定のための能動的レベル集合推定2022
- Author(s)
  瀬野圭一朗, 松井孝太, 松井茂之
- Organizer
  第25回情報論的学習理論ワークショップ (IBIS2022)
- Data Source
  KAKENHI-PROJECT-20K19871
[Presentation] Make machine learning more efficient using external knowledge: A guide to transfer learning2022
- Author(s)
  Kota Matsui, Zhi Li, Kei Yonekawa, Mori Kurokawa
- Organizer
  IEEE SMARTCOMP 2022
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-20K19871
[Presentation] MA抽出のためのフッ素系スーパー溶媒探索問題における機械学習応用の展望2022
- Author(s)
  松井孝太, 中瀬正彦, 針貝美樹, 渡邊真太, 田端千紘, 山村朝雄, 小林徹, 塚本泰介, 柿木浩一, 島田隆
- Organizer
  日本原子力学会2022年春の年会
- Data Source
  KAKENHI-PROJECT-20K19871
[Presentation] 転移学習の基礎からコーディングまで～様々なデータに適応するための機械学習の方法論～2022
- Author(s)
  松井孝太, Zhi Li, 米川慧, 黒川茂莉
- Organizer
  第14回データ工学と情報マネジメントに関するフォーラム (DEIM2022)
- Data Source
  KAKENHI-PROJECT-20K19871
[Presentation] 転移学習の基礎と医学研究への応用:外部のデータや知識を有効に取り入れるための機械学習2021
- Author(s)
  松井孝太
- Organizer
  第1回AI・データイノベーションセミナー (広島大学)
- Invited
- Data Source
  KAKENHI-PROJECT-20K19871
[Presentation] 転移学習の基礎：異なるタスクの知識を利用するための機械学習の方法2021
- Author(s)
  松井孝太
- Organizer
  第27回画像センシングシンポジウム (SSII2021)
- Invited
- Data Source
  KAKENHI-PROJECT-20K19871
[Presentation] 転移学習の基本概念：異なるタスク間での知識転移のための機械学習2021
- Author(s)
  松井孝太
- Organizer
  第42回情報論的学習理論と機械学習研究会
- Invited
- Data Source
  KAKENHI-PROJECT-20K19871
[Presentation] Siエピタキシャル成長プロセスにおける適応的な制約を用いたベイズ最適化2020
- Author(s)
  長田圭一，沓掛健太朗，山本純，山下茂雄，小寺崇，永井勇太，堀川智之，松井孝太，竹内一郎，宇治原徹
- Organizer
  第81回応用物理学会秋季学術講演会
- Data Source
  KAKENHI-PROJECT-20K19871
[Presentation] 償却推論に基づいた継続学習2020
- Author(s)
  川島寛乃，河野慎，熊谷亘，松井孝太，中澤仁
- Organizer
  第34回人工知能学会全国大会
- Data Source
  KAKENHI-PROJECT-20K19871
[Presentation] 転移学習の発展と応用（基本概念からメタ学習, 継続学習まで）2020
- Author(s)
  松井孝太
- Organizer
  パターン認識・メディア理解研究会
- Invited
- Data Source
  KAKENHI-PROJECT-20K19871
[Presentation] Neural Process によるメタ学習に基づくベイズ最適化2020
- Author(s)
  河野慎，熊谷亘，松井孝太，岩澤有祐，松尾豊
- Organizer
  第34回人工知能学会全国大会
- Data Source
  KAKENHI-PROJECT-20K19871
[Presentation] 構造出力の逆問題のためのベイズ的能動学習2020
- Author(s)
  松井孝太，草川隼也，安藤圭理，沓掛健太朗，宇治原徹，竹内一郎
- Organizer
  第34回人工知能学会全国大会
- Data Source
  KAKENHI-PROJECT-20K19871
[Presentation] Foundations of transfer learning and its application to multi-center prognostic prediction.2019
- Author(s)
  K. Matsui, W. Kumagai, K. Kanamori, M. Nisikimi, S. Matsui, T. Kanamori
- Organizer
  2019 WNAR/IMS/JR Annual Meeting
- Invited / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-19H04071

1. Kanamori Takafumi (60334546)

# of Collaborated Projects: 1 results

# of Collaborated Products: 3 results
2. 熊谷亘 (20747167)

# of Collaborated Projects: 1 results

# of Collaborated Products: 4 results
3. 竹之内高志 (50403340)

# of Collaborated Projects: 1 results

# of Collaborated Products: 0 results
4. 川島孝行 (60846210)

# of Collaborated Projects: 1 results

# of Collaborated Products: 0 results
5. 武田朗子 (80361799)

# of Collaborated Projects: 1 results

# of Collaborated Products: 0 results
6. 原聡 (40780721)

# of Collaborated Projects: 1 results

# of Collaborated Products: 3 results
7. 服部聡 (50425154)

# of Collaborated Projects: 1 results

# of Collaborated Products: 0 results
8. 折原隼一郎 (10973266)

# of Collaborated Projects: 1 results

# of Collaborated Products: 0 results
9. 周怡 (50895448)

# of Collaborated Projects: 1 results

# of Collaborated Products: 0 results
10. 松井茂之

# of Collaborated Projects: 0 results

# of Collaborated Products: 1 results

Matsui Kota 松井 孝太

Research Projects

Research Products

Co-Researchers

Sensitivity analysis in incomplete data analysis arising in medical research

Principal Investigator

Project Period (FY)

Research Category

Review Section

Research Institution

Active Evaluation of Machine Learning Models

Principal Investigator

Project Period (FY)

Research Category

Review Section

Research Institution

実験科学研究の効率化のための能動学習と転移学習手法の開発Principal Investigator

Principal Investigator

Project Period (FY)

Research Category

Review Section

Research Institution

小データな多ドメイン間での知識共有のための機械学習手法の開発とその応用Principal Investigator

Principal Investigator

Project Period (FY)

Research Category

Review Section

Research Institution

Statistical Learning with feature extraction and information integration of High-dimensional, large-scale, multi-domain data

Principal Investigator

Project Period (FY)

Research Category

Review Section

Research Institution

[Book] 転移学習2024

Author(s)

Total Pages

Publisher

Data Source

[Book] 転移学習2024

Author(s)

Total Pages

Publisher

Data Source

[Book] ベイズ最適化ー適応的実験計画の基礎と実践ー2023

Author(s)

Total Pages

Publisher

ISBN

Data Source

[Book] データ分析の進め方及びAI・機械学習導入の指南～データ収集・前処理・分析・評価結果の実務レベル対応～2020

Author(s)

Total Pages

Publisher

ISBN

Data Source

[Journal Article] Establishment of a machine learning model for predicting splenic hilar lymph node metastasis2025

Author(s)

Journal Title

DOI

Data Source

[Journal Article] Transfer learning from first-principles calculations to experiments with chemistry-informed domain transformation2025

Author(s)

Journal Title

DOI

Data Source

[Journal Article] Evaluating treatment effect modifiers using data from randomized two-sequence, two-period crossover clinical trials: application to a diabetes study2025

Author(s)

Journal Title

DOI

Data Source

[Journal Article] Prediction of the neurological outcomes post-cardiac arrest: A prospective validation of the CAST and rCAST2024

Author(s)

Journal Title

DOI

Data Source

[Journal Article] Feature extraction and spatial imaging of synchrotron radiation X-ray diffraction patterns using unsupervised machine learning2024

Author(s)

Journal Title

DOI

Matsui Kota 松井孝太

[Journal Article] エンジニアの知識と機械学習の融合シリコンエピタキシャル成長プロセスへのベイズ最適化応用2020