Rchr
J-GLOBAL ID:201701003083725699   Update date: Oct. 31, 2024

Murakami Katsuhiko

ムラカミ カツヒコ | Murakami Katsuhiko
Affiliation and department:
Research field  (2): Education - general ,  Biological, health, and medical informatics
Research keywords  (11): explainable artificial intelligence (XAI) ,  bioinformatics ,  eduinformatics ,  knowledge graph ,  semantic web ,  database ,  genome ,  transcriptome ,  data science ,  biomarker ,  data mining
Research theme for competitive and other funds  (5):
  • 2022 - 2025 新教育課程に対応した読解・記述力を高める縮約基盤型eラーニングAIシステムの構築
  • 2022 - 2024 新教育課程に対応した読解・記述力を高める縮約基盤型eラーニングAIシステムの構築
  • 2018 - 2023 オントロジーと深層学習の融合による生命情報推論システム
  • 2017 - 2019 The comprehensive analysis of type I collagen sequence as a biomarker for distinguishing fossils and archaeological samples.
  • 2014 - 2018 Identification of hidden concept modules using correlation analysis of heterogenious data
Papers (94):
  • Kenya Bannaka, Ryosuke Kozaki, Katsuhiko Murakami, Hibiki Ito, Koichi Akashi, Sayaka Matsumoto, Kunihiko Takamatsu. Enhancing Network-Type Thinking in Early Childhood: A Topic Model Approach to Picture Book Analysis Based on Eduinformatics. Lecture Notes in Networks and Systems. 2024. 547-556
  • Hibiki Ito, Koichi Akashi, Kunihiko Takamatsu, Shotaro Imai, Sayaka Matsumoto, Katsuhiko Murakami, Tetsuhiro Gozu. The First Step for Personalised Learning of Abridgement Education: The Character-Based Pyramid Method and Semi-Automatic Implementation. IEEJ Transactions on Electronics, Information and Systems. 2024. 144. 10. 1005-1010
  • Katsuhiko Murakami, Shin-ichiro Tago, Sho Takishita, Hiroaki Morikawa, Rikuhiro Kojima, Kazuaki Yokoyama, Miho Ogawa, Hidehito Fukushima, Hiroyuki Takamori, Yasuhito Nannya, et al. Pathogenicity Prediction of Gene Fusion in Structural Variations: A Knowledge Graph-Infused Explainable Artificial Intelligence (XAI) Framework. Cancers. 2024
  • Shantanu Jain, Constantina Bakolitsa, Steven E. Brenner, Predrag Radivojac, John Moult, Susanna Repo, Roger A. Hoskins, Gaia Andreoletti, Daniel Barsky, Ajithavalli Chellapan, et al. CAGI, the Critical Assessment of Genome Interpretation, establishes progress and prospects for computational genetic variant interpretation methods. Genome Biology. 2024. 25. 1
  • Kunihiko Takamatsu, Ikuhiro Noda, Kenya Bannaka, Katsuhiko Murakami, Takafumi Kirimura, Taion Kunisaki, Ryosuke Kozaki, Sayaka Matsumoto, Aoi Kishida, Hibiki Ito, et al. Abduction, Abstract Degree and Urgency Matrix (ABDU-M) for Flexible/Agile Higher Education Reform Based on Eduinformatics. 2024
more...
MISC (24):
  • 高松邦彦, 松本清, 伴仲謙欣, 村上勝彦, 小崎恭弘, 光成研一郎, 今井匠太朗, 森雅生, 中田康夫. Evaluation of First-Year Education Using Confirmatory Factor Analysis. 電気学会論文誌 C. 2024. 144. 8
  • 関雅幸, 野田育宏, 大森雅人, 酒井智行, 村上勝彦, 高松邦彦. Foundational Study on the Empirical Experiments of ChatGPT in Institutional Research (IR). 大学情報・機関調査研究集会論文集(Web). 2023. 12
  • 高松 邦彦, 松本 清, 伴仲 謙欣, 村上 勝彦, 小崎 恭弘, 光成 研一郎, 今井 匠太朗, 森 雅生, 中田 康夫. 確証的因子分析を用いた成績評価法検討の経験-Experience of consideration for evaluation of first-year education by confirmatory factor analysis-情報システム研究会 知能情報技術と情報システム技術,その他一般. 電気学会研究会資料. IS / 情報システム研究会 [編]. 2022. 2022. 38-42・44-47・49. 39-44
  • 高松邦彦, 松本清, 伴仲謙欣, 村上勝彦, 小崎恭弘, 光成研一郎, 今井匠太朗, 森雅生, 中田康夫. Experience of considration for evaluation of first-year education by confirmatory factor analysis. 電気学会研究会資料(Web). 2022. IS-22-038-042.044-047.049
  • 高松邦彦, 高松邦彦, 大石哲也, 松本清, 西山慶太, 野田育宏, 今井匠太朗, 伴仲謙欣, 村上勝彦, 岸田あおい, et al. Practice report of Feasibility-Sustainability Analytics (FS Analytics) in Institutional Research (IR) based on Eduinformatics and new proposal to improve Sustainability in IR. 大学情報・機関調査研究集会論文集(Web). 2022. 11
more...
Books (3):
  • 医薬品・医療機器・再生医療"開発におけるオープンイノベーションの取り組み事例集
    技術情報協会 2018 ISBN:9784861047220
  • in silico創薬におけるスクリーニングの高速化・高精度化技術
    技術情報協会 2018 ISBN:9784861046889
  • 使えるデータベース・ウェブツール
    羊土社 2011 ISBN:9784758103176
Lectures and oral presentations  (4):
  • Comprehensive sequence analysis of type I collagen coding region
    (2019)
  • Web-based Radar Chart System of Tokiwa Competencies in Eduinformatics
    (2018 International Conference on Education, Psychology, and Learning (ICEPL) 2018)
  • Study on Interdependence Relationship of Nursing Students in “Gerontological Nursing; Assessment and Skills”: Using the Belief in Cooperation Scale
    (2018 International Conference on Education, Psychology, and Learning (ICEPL) 2018)
  • ヒト遺伝子データベースを対象としたアノテーション相関解析およびバイオ系データベースのマップ構築
    (学習院大学 計算機センター セミナー 2012)
Education (1):
  • - 2008 The University of Tokyo Graduate School of Frontier Sciences
Professional career (1):
  • Ph. D (The University of Tokyo)
Work history (2):
  • 2021/04 - 現在 Fujitsu
  • 2018/04 - 2021/03 Fujitsu Laboratories Ltd. Artificial Intelligence Laboratory
Committee career (1):
  • 2019 - 現在 International Congress on Advanced Applied Informatics (IIAI-AAI) Program Committee
Awards (6):
  • 2020/12 - IEEE/IIAI International Congress on Applied Information Technology (IEEE/IIAI AIT 2020) Outstanding Paper Award University Reform by Significant Other Groups in Eduinformatics
  • 2020/02 - Japan Association for Medical Artificial Intelligence Best Poster, JMAI Award
  • 2019/12 - JSAI Semantic Web and Ontology Best Idea Award, Knowledge Graph Reasoning Challenge decryption in the novel "Dancing Men"
  • 2018/11 - JSAI Semantic Web and Ontology Best Resource Award, Knowledge Graph Reasoning Challenge
  • 2017/07 - International Congress on Advanced Applied Informatics (IIAI) Outstanding Paper Award A new way of visualizing curricula using competencies: Cosine similarity, multidimensional scaling methods, and scatter plotting
Show all
Association Membership(s) (5):
The Association for Natural Language Processing ,  JAPANESE SOCIETY FOR BIOINFORMATICS ,  INFORMATION PROCESSING SOCIETY OF JAPAN ,  THE JAPANESE SOCIETY FOR ARTIFICIAL INTELLIGENCE ,  Japanese Association for Medical Intelligence
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