Rchr
J-GLOBAL ID:201701015011487155
Update date: Oct. 07, 2024
Hara Satoshi
ハラ サトシ | Hara Satoshi
Affiliation and department:
Homepage URL (1):
https://sites.google.com/site/sato9hara/home
Research field (1):
Intelligent informatics
Research keywords (5):
Machine Learning
, Explainable AI
, Feature Selection
, Anomaly Detection
, Data Mining
Research theme for competitive and other funds (8):
- 2024 - 2029 Desensitization of Algorithms for Decision Making and Knowledge Discovery
- 2023 - 2028 Active Evaluation of Machine Learning Models
- 2022 - 2025 Development of data-driven thermal-hydraulic analysis methods using machine learning
- 2020 - 2024 Personalized Pricing for Time and Space Sharing Services
- 2020 - 2023 機械学習モデルの説明駆動開発のための基盤技術
- 2020 - 2023 機械学習モデルとユーザのコミュニケーション:モデルの説明と修正
- 2018 - 2022 複数疾病を伴う高齢入院患者の予後予測因子の同定:機械学習モデルの解釈性の向上
- 2018 - 2021 A Unified Approach for Explaining Deep Neural Networks
Show all
Papers (46):
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Tomohisa Kumagai, Kazuma Suzuki, Akiyoshi Nomoto, Satoshi Hara, Akiyuki Takahashi. Prediction of the binding energy of self interstitial atoms in alpha iron by a graph neural network. Materialia. 2024. 33. 101977-101977
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Taichi Tomono, Satoshi Hara, Yusuke Nakai, Kazuma Takahara, Junko Iida, Takashi Washio. A Bayesian approach for constituent estimation in nucleic acid mixture models. Frontiers in Analytical Science. 2024. 3
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Hirofumi Suzuki, Hiroaki Iwashita, Takuya Takagi, Yuta Fujishige, Satoshi Hara. Rule Mining for Correcting Classification Models. 2023 IEEE International Conference on Data Mining (ICDM). 2023. 3. 1331-1336
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Satoshi Hara, Yuichi Yoshida. Average Sensitivity of Decision Tree Learning. The International Conference on Learning Representations. 2023
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Gabriel Laberge, Ulrich Aïvodji, Satoshi Hara, Mario Marchand, Foutse Khomh. Fooling SHAP with Stealthily Biased Sampling. The International Conference on Learning Representations. 2023
more...
MISC (24):
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山本雄大, 原聡. スライスワッサースタイン距離を用いた高速なStealthily Biased Sampling. 2024年度人工知能学会全国大会. 2024
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寺下直行, 原聡. 低分散で省メモリな勾配推定のためのForward Gradientと誤差逆伝播法の結合. 2024年度人工知能学会全国大会. 2024
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清末優子, 五味渕由貴, 安永卓生, 鷲尾隆, 原聡. 細胞の構造的特徴の機械学習による視覚的抽出. 2024年度人工知能学会全国大会. 2024
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落合拓真, 瀬野圭一朗, 松井孝太, 原 聡. レベル集合推定に基づく機械学習モデルの能動的評価. 情報論的学習理論と機械学習研究会(IBISML). 2023
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波多野 大督, 原 聡, 荒井 ひろみ. 限界貢献を利用した不公平なモデルの修正. 2023年度人工知能学会全国大会. 2023
more...
Books (1):
-
機械学習工学
講談社 2022 ISBN:9784065285862
Education (3):
- 2010 - 2013 Osaka University Graduate School of Engineering Division of Electrical, Electronic and Information Engineering
- 2008 - 2010 Tokyo Institute of Technology Graduate School of Information Science and Engineering Department of Computer Science
- 2004 - 2008 Waseda University School of Science and Engineering
Professional career (1):
Work history (5):
- 2024/05 - 現在 The University of Electro-Communications Graduate School of Informatics and Engineering Professor
- 2020/04 - 2024/04 Osaka University The Institute of Scientific and Industrial Research Associate Professor
- 2017/09 - 2020/03 Osaka University The Institute of Scientific and Industrial Research Assistant Professor
- 2016/04 - 2017/08 National Institute of Informatics
- 2013/04 - 2016/03 IBM Research Tokyo
Awards (3):
- 2022/11 - 第25回情報論的学習理論ワークショップ(IBIS2022) ベストプレゼンテーション賞 決定木学習の安定化
- 2019/11 - 第22回情報論的学習理論ワークショップ(IBIS2019) ベストプレゼンテーション賞 SGDの挙動解析に基づくデータクレンジング
- 2016/07 - 人工知能学会 全国大会優秀賞 機械学習を用いた量子状態異常検知
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