Takigawa Ichigaku

タキガワイチガク | Takigawa Ichigaku

Affiliation and department：
Other affiliations (1)：

Homepage URL (1)： https://itakigawa.github.io/

Research field (4)： Intelligent informatics , Statistical science , Biological, health, and medical informatics , Systems genomics

Research keywords (10)： Machine Discovery , 機械学習 , データマイニング , データ駆動科学 , 離散構造 , モデル化 , 列挙アルゴリズム , バイオインフォマティクス , ケモインフォマティクス , マテリアルズインフォマティクス

Research theme for competitive and other funds (22)：

2021 - 2025 化学における外挿探索を可能とする機械学習手法の開発と実証
2021 - 2025 グラフ表現学習の転移性・構成性の獲得とその実践
2020 - 2025 New Problem Formulation on Next Generation Informatics and Researches on thier Algorithms
2020 - 2025 Paradigm shift in the method for observing non-equilibrium processes in real space: Elucidation of nucleation processes from solution by TEM
2020 - 2025 Research on Integrated Techniques of Enumeration and Optimization Based on Discrete Structure Manipulation Systems

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Papers (105)：

Chiaki Yoshikawa, Duc Anh Nguyen, Tadashi Nakaji-Hirabayashi, Ichigaku Takigawa, Hiroshi Mamitsuka. Graph Network-Based Simulation of Multicellular Dynamics Driven by Concentrated Polymer Brush-Modified Cellulose Nanofibers. ACS Biomaterials Science & Engineering. 2024
Hiroyasu Katsuno, Yuki Kimura, Tomoya Yamazaki, Ichigaku Takigawa. Machine Learning Refinement of In Situ Images Acquired by Low Electron Dose LC-TEM. Microscopy and microanalysis : the official journal of Microscopy Society of America, Microbeam Analysis Society, Microscopical Society of Canada. 2024
Katsuki Eguchi, Ichigaku Takigawa, Shinichi Shirai, Ikuko Takahashi-Iwata, Masaaki Matsushima, Takahiro Kano, Hiroaki Yaguchi, Ichiro Yabe. Gait video-based prediction of unified Parkinson's disease rating scale score: a retrospective study. BMC neurology. 2023. 23. 1. 358-358
Gang Wang, Shinya Mine, Duotian Chen, Yuan Jing, Kah Wei Ting, Taichi Yamaguchi, Motoshi Takao, Zen Maeno, Ichigaku Takigawa, Koichi Matsushita, et al. Accelerated discovery of multi-elemental reverse water-gas shift catalysts using extrapolative machine learning approach. Nature Communications. 2023
Yuki Ide, Hayato Shirakura, Taichi Sano, Muthuchamy Murugavel, Yuya Inaba, Sheng Hu, Ichigaku Takigawa, Yasuhide Inokuma. Machine Learning-Based Analysis of Molar and Enantiomeric Ratios and Reaction Yields Using Images of Solid Mixtures. Industrial & Engineering Chemistry Research. 2023. 62. 35. 13790-13798

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MISC (108)：

瀧川一学. 予感される組織に寄せて -外部から見た多分野交流-. 情報処理連載:こたつde議論〜情報学を核とした多分野交流の現場から〜. 2023. 64. 12. 648-653
白倉逸人, 佐野太一, 井手雄紀, HU Sheng, 瀧川一学, 瀧川一学, 猪熊泰英, 猪熊泰英. Predicting the Mixing Ratios of Crystalline Compounds using Image-based Machine Learning. 日本化学会春季年会講演予稿集(Web). 2023. 103rd
佐野太一, 白倉逸人, 井手雄紀, HU Sheng, 瀧川一学, 瀧川一学, 猪熊泰英, 猪熊泰英. Diagnosis of Enantiomer Ratio in Solid Mixture Image using Machine Learning. 日本化学会春季年会講演予稿集(Web). 2023. 103rd
佐野太一, 白倉逸人, 井手雄紀, HU Sheng, 瀧川一学, 瀧川一学, 猪熊泰英, 猪熊泰英. Mixing Ratio Prediction by Machine Learning Using Compound Images Obtained from Solution Drying. 基礎有機化学討論会要旨集. 2023. 33rd (CD-ROM)
瀧川一学, 瀧川一学. 人間の言語能力とは何か-生成文法からの問い〈2〉なぜ経験則は説明の論理として受け入れがたいか. 科学. 2023. 93. 12

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Lectures and oral presentations (68)：

自然科学研究のための機械学習と機械発見
(日本がんと炎症・代謝研究会(SCIM) 第10回学術集会 2024)
帰納と演繹の間を求めて:記号と離散構造の統計的機械学習
(電子情報通信学会コンピュテーション研究会 2024)
機械学習を科学研究で使うとは?
(第12回WPIサイエンスシンポジウム、北海道大学 2023)
Exploring Practices in Machine Learning and Machine Discovery for Heterogeneous Catalysis
(ACS Spring 2023 Symposium on AI-Accelerated Scientific Workflow, Indianapolis, USA)
機械学習と機械発見:自然科学融合が誘起するデータ科学の新展開
(学習院桜友会寄付講座(生命情報社会学)シンポジウム X-Informatics 〜巡り会うデータサイエンス〜, 学習院大学 2023)

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Education (3)：

2001 - 2004 Hokkaido University
1999 - 2001 Hokkaido University
1995 - 1999 Hokkaido University School of Engineering Department of Information Engineering

Professional career (1)：

Work history (16)：

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Committee career (8)：

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Association Membership(s) (4)：

JAPANESE SOCIETY FOR BIOINFORMATICS , THE JAPANESE SOCIETY FOR ARTIFICIAL INTELLIGENCE , ACM , IEEE

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