Rchr
J-GLOBAL ID:201801000653333518   Update date: Feb. 01, 2024

Takeuchi Koh

Takeuchi Koh
Affiliation and department:
Job title: Senior Lecturer
Other affiliations (1):
  • RIKEN  Advanced Intelligence Project   Visiting Researcher
Homepage URL  (1): https://www.ml.ist.i.kyoto-u.ac.jp/koh.takeuchi/
Research field  (1): Intelligent informatics
Research keywords  (2): Machine Learning ,  Data Mining
Research theme for competitive and other funds  (4):
  • 2021 - 2026 自律的に計測・介入を行うχログボットのアルゴリズム開発
  • 2020 - 2022 リライアブルな意思決定のための時空間因果推論モデルの研究
  • 2019 - 2020 時空間超解像のための時空間畳み込み技術の研究
  • 2014 - 2018 Development of machine learning algorithms based on discrete convex analysis
Papers (43):
  • Maina Sogabe, Kaoru Ishikawa, Toshihiro Takamatsu, Koh Takeuchi, Takahiro Kanno, Koji Fujimoto, Tetsuro Miyazaki, Toshihiro Kawase, Toshihiko Sato, Kenji Kawashima. Bleeding alert map (BAM): The identification method of the bleeding source in real organs using datasets made on mimicking organs. Array. 2023. 19. 100308-100308
  • Xiaofeng Lin, Guoxi Zhang, Xiaotian Lu, Han Bao 0002, Koh Takeuchi, Hisashi Kashima. Estimating Treatment Effects Under Heterogeneous Interference. ECML/PKDD (1). 2023. 576-592
  • Ryu Shirakami, Toshiya Kitahara, Koh Takeuchi, Hisashi Kashima. QTNet: Theory-based Queue Length Prediction for Urban Traffic. KDD. 2023. 4832-4841
  • Koh Takeuchi, Ryo Nishida, Hisashi Kashima, Masaki Onishi. Causal Effect Estimation on Hierarchical Spatial Graph Data. KDD. 2023. 2145-2154
  • Ryosuke Ueda, Koh Takeuchi, Hisashi Kashima. Mitigating Voter Attribute Bias for Fair Opinion Aggregation. AIES. 2023. 170-180
more...
MISC (11):
  • 竹内 孝. 機械学習を用いたグラフ構造データの解析と応用. 人工知能. 2023. 38. 2. 158-164
  • 乾拓海, 原田将之介, LIU Yang, 竹内孝, 瀧川一学, 山西芳裕, 鹿島久嗣. Link Prediction in Chemical Compound Network Under Observation Bias. 人工知能学会全国大会(Web). 2022. 36th. 4Yin214-4Yin214
  • 竹内 孝. 会議報告:The 20th International Conference on Autonomous Agents and Multiagent Systems( AAMAS-2021). 人工知能. 2021. 36. 5. 661-662
  • TSUJIMOTO Hiroki, TAKEUCHI Koh, KISHINO Yasue, SUZUKI Hirokazu, YODA Ken, KIMURA Koutarou D., MAEKAWA Takuya, HARA Takahiro. Preliminary Investigation of Unsupervised Segmentation for Animal Locomotion Data using Deep Learning. Proceedings of the Annual Conference of JSAI. 2020. 2020. 0. 2C4OS7a02-2C4OS7a02
  • Model Ensemble for Failure Event Detection using Multiple User Activity Data on the Web. 2017. 117. 212. 123-128
more...
Education (2):
  • 2016 - 2019 Kyoto University Graduate School of Informatics Department of Intelligence Science and Technology
  • 2009 - 2011 Waseda University Graduate School of Advanced Science and Engineering Department of Electrical Engineering and Bioscience
Professional career (1):
  • 博士 (情報学) (京都大学)
Work history (3):
  • 2023/10 - 現在 Kyoto University Graduate School of Informatics Department of Intelligence Science and Technology Senior Lecturer
  • 2020/02 - 2023/09 Kyoto University Graduate School of Informatics Department of Intelligence Science and Technology Assistant Professor
  • 2011/04 - 2020/01 NTT Communication Science Labs. Researcher
Committee career (5):
  • 2021 - 2023 The Annual Conference of the Japanese Society for Artificial Intelligence Program Committee
  • 2023 - 第26回情報論的学習理論ワークショップ (IBIS2023) プログラム委員
  • 2023 - The Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD) Local Chair
  • 2019 - The 22nd information-Based Induction Sciences Workshop Program Committee
  • 2016 - The 19th information-Based Induction Sciences Workshop Program Comittie
Awards (13):
  • 2023/11 - The Japanese Society for Artificial Intelligence JSAI Annual Conference Award
  • 2022/08 - International Conference on Advances in Geographic Information Systems (SIGSPATIAL) Best Poster Award Estimating counterfactual treatment outcomes over time in multi-vehicle simulation
  • 2022 - Intelligence, Informatics and Infrastructure Award for Outstanding Potential Paper
  • 2022 - 人工知能学会 第36回全国大会優秀賞 地理空間情報とIC定期券データを用いた教師あり学習による駅商圏の異方的推定
  • 2021 - 人工知能学会 第35回全国大会優秀賞 因果推論を用いた群衆移動の誘導における介入効果推定
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