Rchr
J-GLOBAL ID:200901084578372110   Update date: Mar. 26, 2024

Arimura Hiroki

アリムラ ヒロキ | Arimura Hiroki
Affiliation and department:
Job title: Professor
Homepage URL  (2): http://www-ikn.ist.hokudai.ac.jp/~arim/http://www-ikn.ist.hokudai.ac.jp/~arim/publication.html
Research field  (3): Information theory ,  Database science ,  Intelligent informatics
Research keywords  (21): Computer Science ,  Artificial Intelligence ,  data structures and algorithms ,  data mining ,  information retrieval ,  機械学習 ,  enumeration algorithms ,  graph ,  decision trees ,  text index ,  string algorithm ,  semi-structured data ,  ウェブマイニング ,  pattern mining ,  Explanable Machine Learning ,  database ,  spatio-temporal data ,  compression ,  stream processing ,  knowledge discovery ,  big data
Research theme for competitive and other funds  (33):
  • 2020 - 2025 社会を志向した革新的アルゴリズムの実装
  • 2020 - 2025 Development of Next-generation Semi-Structured Data Mining Technology Towards The Real-World Knowledge Creation Infrastructure
  • 2018 - 2025 学習/数理モデルに基づく時空間展開型アーキテクチャの創出と応用
  • 2018 - 2021 Expansion of efficient search and discovery technology for processing massive data stream in the real world
  • 2016 - 2020 Next-generation semi-structured data mining technologies for real-world knowledge infrastructures
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Papers (163):
  • Hiroki Arimura, Shunsuke Inenaga, Yasuaki Kobayashi, Yuto Nakashima, Mizuki Sue. Optimally Computing Compressed Indexing Arrays Based on the Compact Directed Acyclic Word Graph. SPIRE2023. 2023. 28-34
  • Hiroki Arimura, Tatsuya Gima, Yasuaki Kobayashi 0001, Hiroomi Nochide, Yota Otachi. Minimum Consistent Subset for Trees Revisited. CoRR. 2023. abs/2305.07259
  • Kota Mata, Kentaro Kanamori, Hiroki Arimura. Computing the Collection of Good Models for Rule Lists. Proc. the 18th International Conference on Machine Learning and Data Mining (MLDM 2022). 2022. abs/2204.11285
  • Tsubasa Oizumi, Takeshi Kai, Takuya Mieno, Shunsuke Inenaga, Hiroki Arimura. Cartesian Tree Subsequence Matching. Proc. the 33rd Annual Symposium on Combinatorial Pattern Matching (CPM 2022), Leibniz International Proceedings in Informatics (LIPIcs). 2022. LIPIcs223. 14:1-14:18
  • Kentaro Kanamori, Takuya Takagi, Ken Kobayashi, Hiroki Arimura. Distribution-Aware Counterfactual Explanation by Mixed-Integer Linear Optimization. Transactions of the Japanese Society for Artificial Intelligence. 2021. 36. 6. C-L44_1
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MISC (100):
  • 志田祐仁, 有村博紀, 小林靖明. 文字列集合に対する多様な最長共通部分列の発見. 電子情報通信学会技術研究報告(Web). 2023. 123. 325(COMP2023 16-27)
  • 宮崎怜子, 有村博紀, 小林靖明. 半順序集合の弱埋め込み問題に対するパラメータ化アルゴリズム. 電子情報通信学会技術研究報告(Web). 2022. 122. 294(COMP2022 21-32)
  • 須江瑞樹, 小林靖明, 有村博紀, 中島祐人, 稲永俊介. コンパクト非巡回語グラフに基づく連長圧縮Burrows-Wheeler変換の効率良い構築. 電子情報通信学会技術研究報告(Web). 2022. 122. 294(COMP2022 21-32)
  • 坂上陽規, 瀧川一学, 有村博紀. Graph Feature Extraction Using Graph Fragment Decision Trees. 人工知能学会全国大会論文集(CD-ROM). 2018. 32nd
  • 栗田和宏, CONTE Alessio, 和佐州洋, 宇野毅明, 有村博紀. Efficient Enumeration of Subgraphs with Large Girth. 情報処理学会全国大会講演論文集. 2018. 80th. 1
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Books (4):
  • Encyclopedia of Natural Language Processing (In Japanese)
    The Kyoritsu Co.,Ltd 2009
  • Computational Challenges of Massive Data Sets and Randomness in Computation, Special Issue on the First and Second Japanese-German Frontiers of Science Symposia
    Journal of Universal Computer Science, Vol. 12, issue 6, 579-761. doi: 10.3217/jucs-012-06 2006
  • JSAI Encyclopedia of Aritificial Intelligence (In Japanese)
    The Kyoritsu Co.,Ltd 2005
  • Proceedings of the 11th International Conference on Algorithmic Learning Theory
    Springer-Verlag 2000
Lectures and oral presentations  (130):
  • 一般化階層をもつ関係データベース上の閉パターンの発見
    (人工知能学会 2022年度人工知能学会全国大会 (JSAI2022))
  • デカルト木部分列照合問題の高速なアルゴリズム
    (アルゴリズム(AL)研究会, 2022-AL-186, Vol.3, pp.1-8)
  • Explainable Machine Learning for Trustworthy AI
    (HU-DUT Workshop for Big data and AI, Hokkaido University 2021)
  • ルールリストに対するRashomon集合の厳密計算と予測多重性解析
    (第24回情報論的学習理論ワークショップ (IBIS 2021), 一般セッション, 2-3 モデル解釈・検証, 106 2021)
  • デカルト木照合の部分系列への拡張
    (コンピュテーション(COMP)研究会, COMP2021-6 2021)
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Education (3):
  • 1994 - Doctor (Science), Kyushu University Interdisciplinary Graduate School of Engineering Sciences
  • 1988 - 1990 Kyushu University InterdisciplinaryGraduate School of Engineering Sciences Division of Information Systems, Master Course
  • 1984 - 1988 Kyushu University Faculty of Science Department of Physics
Professional career (3):
  • Doctor of Science (D.Sc) (Kyushu University)
  • Master of Science (M.Sc) (Kyushu University)
  • Bachelor of Science (B.Sc) (Kyushu University)
Work history (21):
  • 2021/04 - 現在 Associate faculty
  • 2019/04 - 現在 Hokkaido University Graduate School of Information Science and Technology Professor
  • 2020/04 - 2026/03 JST Basic Research program, PRESTO "The fundamental technologies for Trustworthy AI" (Trustworthy AI) Research Supervisor
  • - 2025/03 Hokkaido University
  • 2018/04 - 2022/03 Hokkaido University Collaborative Project Center, Knowledge Media Laboratory leader (director)
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Committee career (22):
  • 2023/10 - 現在 Science Council of Japan Associate member (Section III: Physical Sciences and Engineering, Informatics)
  • 2020/10 - 2023/09 Science Council of Japan Associate member (Section III: Physical Sciences and Engineering, Informatics)
  • 2018/04 - 2020/03 Japan Society for the Promotion of Science Advisory Board Member (Frontiers of Science Symposia)
  • 2017/06 - 2019/05 人工知能学会 代議員
  • 2017/06 - 2019/03 MEXT Council for Science and Technology, Associate Member
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Awards (20):
  • 2022/06 - IPSJ 2022 IPSJ Computer Science Research Award for Young Scientists Tsubasa Oizumi, Hiroki Arimura: Efficient Algorithms for Cartesian Tree Subsequence Matching, IPSJ Technical Report, Vol.2022-AL-186,No.3,1-8, Jan. 2022
  • 2022/06 - The Japanese Society for Artificial Intelligence Best Paper Award Distribution-Aware Counterfactual Explanation by Mixed-Integer Linear Optimization
  • 2019/01 - JSAI Best Presentation Award Fairness-aware Edit of a Learned Decision Tree Using Integer Linear Programming
  • 2016/06 - Information Processing Society Japan (IPSJ) Best Paper Award Practical Algorithms for Mining Flock Patterns from Trajectories
  • 2016/03 - IPSJ 2016 Yamashita Award Efficient Approximate 3-Dimensional Point Set Matching and Its Application to Molecular Pattern Matching, 2015-BIO-42,2015-MPS-104, 2015/6
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Association Membership(s) (6):
The Databases Society of Japan (DBSJ) ,  The Institute of Electronics, Information and Communication Engineers (IEICE) ,  Association for Computing Machinery (ACM) ,  The Japanese Society for Artificial Intelligence (JSAI) ,  Information Processing Society of Japan (IPSJ) ,  IEEE Computer Society
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