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Kojima, Ryosuke

Graduate School of Medicine Associate Professor

Kojima, Ryosuke
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    Last Updated :2024/10/23

    Basic Information

    Faculty

    • 医学部

    Professional Memberships

    • THE ROBOTICS SOCIETY OF JAPAN
    • THE JAPANESE SOCIETY FOR ARTIFICIAL INTELLIGENCE

    Academic Degree

    • 修士(工学)(東京工業大学)
    • 博士(工学)(東京工業大学)

    Research History

    • From Jun. 2021, To Present
      Kyoto University, Graduate School of Medicine, lecturer
    • From Apr. 2017, To May 2021
      Kyoto University, Graduate School of Medicine, program-specific associate professor
    • From Apr. 2014, To Mar. 2017
      Tokyo institute of technology, information science and engineering, Ph.D. student
    • From Apr. 2012, To Mar. 2014
      Tokyo institute of technology, information science and engineering, M.E.

    ID,URL

    researchmap URL

    list
      Last Updated :2024/10/23

      Research

      Research Interests

      • 医療ビッグデータ
      • Probabilistic logic programming
      • Robot Audition
      • Probabilistic modeling
      • Machine Learning
      • Artificial Intelligence

      Research Areas

      • Informatics, Biological, health, and medical informatics
      • Informatics, Intelligent robotics
      • Informatics, Intelligent informatics

      Papers

      • ChemGLaM: Chemical-Genomics Language Models for Compound-Protein Interaction Prediction
        Takuto Koyama; Hayato Tsumura; Shigeyuki Matsumoto; Ryunosuke Okita; Ryosuke Kojima; Yasushi Okuno
        15 Feb. 2024
      • Privacy-Preserving Correlation Coefficient.
        Tomoaki Mimoto; Hiroyuki Yokoyama; Toru Nakamura; Takamasa Isohara; Masayuki Hashimoto; Ryosuke Kojima; Aki Hasegawa; Yasushi Okuno
        IEICE Transactions on Information & Systems, May 2023
      • Differential Privacy under Incalculable Sensitivity.
        Tomoaki Mimoto; Masayuki Hashimoto; Hiroyuki Yokoyama; Toru Nakamura; Takamasa Isohara; Ryosuke Kojima; Aki Hasegawa; Yasushi Okuno
        6th International Conference on Cryptography, Security and Privacy(CSP), 2022
      • Interpretable machine learning-based individual analysis of acute kidney injury in immune checkpoint inhibitor therapy.
        Minoru Sakuragi; Eiichiro Uchino; Noriaki Sato; Takeshi Matsubara; Akihiko Ueda; Yohei Mineharu; Ryosuke Kojima; Motoko Yanagita; Yasushi Okuno
        PloS one, 2024
      • Network-based prediction approach for cancer-specific driver missense mutations using a graph neural network.
        Narumi Hatano; Mayumi Kamada; Ryosuke Kojima; Yasushi Okuno
        BMC bioinformatics, 10 Oct. 2023
      • Developing a GNN-based AI model to predict mitochondrial toxicity using the bagging method
        Yoshinobu Igarashi; Ryosuke Kojima; Shigeyuki Matsumoto; Hiroaki Iwata; Yasushi Okuno; Hiroshi Yamada
        The Journal of Toxicological Sciences, 2024
      • Toward AI-supported evaluation for safety control measures against near-miss events in pharmaceutical products
        Rika Okamoto; Ryosuke Kojima; Masahiko Nakatsui
        Safety Science, Dec. 2023
      • Development of a GCN-based model to predict <i>in vitro</i> phototoxicity from the chemical structure and HOMO-LUMO gap
        Yoshinobu Igarashi; Suyong Re; Ryosuke Kojima; Yasushi Okuno; Hiroshi Yamada
        The Journal of Toxicological Sciences, 2023
      • VGAE-MCTS: a New Molecular Generative Model combining Variational Graph Auto-Encoder and Monte Carlo Tree Search
        Hiroaki Iwata; Taichi Nakai; Takuto Koyama; Shigeyuki Matsumoto; Ryosuke Kojima; Yasushi Okuno
        05 Jun. 2023
      • Individual health-disease phase diagrams for disease prevention based on machine learning
        Kazuki Nakamura; Eiichiro Uchino; Noriaki Sato; Ayano Araki; Kei Terayama; Ryosuke Kojima; Koichi Murashita; Ken Itoh; Tatsuya Mikami; Yoshinori Tamada; Yasushi Okuno
        Journal of Biomedical Informatics, Aug. 2023
      • Characterizing eye-gaze positions of people with severe motor dysfunction: Novel scoring metrics using eye-tracking and video analysis
        Mari Okamoto; Ryosuke Kojima; Akihiko Ueda; Machiko Suzuki; Yasushi Okuno
        PLOS ONE, 31 Aug. 2022
      • Improving Compound–Protein Interaction Prediction by Self-Training with Augmenting Negative Samples
        Takuto Koyama; Shigeyuki Matsumoto; Hiroaki Iwata; Ryosuke Kojima; Yasushi Okuno
        Journal of Chemical Information and Modeling, 17 Jul. 2023
      • アラーム音自動検出システムに適したマイクロホン下限性能の検討
        岸本 和昌; 竹村 匡正; 山本 豪志朗; 杉山 治; 小島 諒介; 黒田 知宏
        医療情報学連合大会論文集, Nov. 2022
      • Evaluation of Kidney Histological Images Using Unsupervised Deep Learning.
        Noriaki Sato; Eiichiro Uchino; Ryosuke Kojima; Minoru Sakuragi; Shusuke Hiragi; Sachiko Minamiguchi; Hironori Haga; Hideki Yokoi; Motoko Yanagita; Yasushi Okuno
        Kidney international reports, Sep. 2021
      • Network-based pathogenicity prediction for variants of uncertain significance
        Mayumi Kamada; Atsuko Takagi; Ryosuke Kojima; Yoshihisa Tanaka; Masahiko Nakatsui; Noriko Tanabe; Makoto Hirata; Teruhiko Yoshida; Yasushi Okuno
        16 Jul. 2021
      • 教師なし深層学習を用いたIgA腎症患者の病理所見の評価
        佐藤 憲明; 内野 詠一郎; 小島 諒介; 櫻木 実; 平木 秀輔; 南口 早智子; 羽賀 博典; 横井 秀基; 柳田 素子; 奥野 恭史
        日本腎臓学会誌, Jun. 2021
      • Prediction of Polyphonic Alarm Sound by Deep Neural Networks
        KISHIMOTO Kazumasa; TAKEMURA Tadamasa; SUGIYAMA Osamu; KOJIMA Ryosuke; YAKAMI Masahiro; NAMBU Masayuki; FUJII Kiyotaka; KURODA Tomohiro
        Transactions of Japanese Society for Medical and Biological Engineering, 10 Mar. 2022, Peer-reviewed
      • 教師なし深層学習を用いたIgA腎症患者の病理所見の評価
        佐藤 憲明; 内野 詠一郎; 小島 諒介; 櫻木 実; 平木 秀輔; 南口 早智子; 羽賀 博典; 横井 秀基; 柳田 素子; 奥野 恭史
        日本腎臓学会誌, Jun. 2021
      • AI-Driven Synthetic Route Design Incorporated with Retrosynthesis Knowledge.
        Shoichi Ishida; Kei Terayama; Ryosuke Kojima; Kiyosei Takasu; Yasushi Okuno
        Journal of chemical information and modeling, 28 Mar. 2022, Peer-reviewed
      • Assessment of von Mises-Bernoulli Deep Neural Network in Sound Source Localization
        Katsutoshi Itoyama; Yoshiya Morimoto; Shungo Masaki; Ryosuke Kojima; Kenji Nishida; Kazuhiro Nakadai
        Interspeech 2021, 30 Aug. 2021, Peer-reviewed
      • AIM in Pharmacology and Drug Discovery
        Hiroaki Iwata; Ryosuke Kojima; Yasushi Okuno
        Artificial Intelligence in Medicine, 2021
      • Prediction and visualization of acute kidney injury in intensive care unit using one-dimensional convolutional neural networks based on routinely collected data.
        Noriaki Sato; Eiichiro Uchino; Ryosuke Kojima; Shusuke Hiragi; Motoko Yanagita; Yasushi Okuno
        Computer methods and programs in biomedicine, Jul. 2021
      • Health improvement framework for actionable treatment planning using a surrogate Bayesian model.
        Kazuki Nakamura; Ryosuke Kojima; Eiichiro Uchino; Koh Ono; Motoko Yanagita; Koichi Murashita; Ken Itoh; Shigeyuki Nakaji; Yasushi Okuno
        Nature communications, 25 May 2021, Peer-reviewed, Corresponding author
      • Prediction and visualization of acute kidney injury in intensive care unit using one-dimensional convolutional neural networks based on routinely collected data.
        Noriaki Sato; Eiichiro Uchino; Ryosuke Kojima; Shusuke Hiragi; Motoko Yanagita; Yasushi Okuno
        Comput. Methods Programs Biomed., 2021
      • Future possibilities for artificial intelligence in the practical management of hypertension.
        Hiroshi Koshimizu; Ryosuke Kojima; Yasushi Okuno
        Hypertension research : official journal of the Japanese Society of Hypertension, Dec. 2020, Peer-reviewed
      • kGCN: a graph-based deep learning framework for chemical structures
        Ryosuke Kojima; Shoichi Ishida; Masateru Ohta; Hiroaki Iwata; Teruki Honma; Yasushi Okuno
        Journal of Cheminformatics, Dec. 2020, Peer-reviewed
      • Prediction of blood pressure variability using deep neural networks.
        Hiroshi Koshimizu; Ryosuke Kojima; Kazuomi Kario; Yasushi Okuno
        International journal of medical informatics, Apr. 2020, Peer-reviewed
      • 【AI、ICT】臨床データを用いた医療ビッグデータの解析と創薬への応用
        内野 詠一郎; 佐藤 憲明; 小島 諒介; 玉田 嘉紀; 柳田 素子; 奥野 恭史
        日本腎臓学会誌, Mar. 2020
      • AIと医療 データ主導型個別化医療と予測医療
        奥野 恭史; 小清水 宏; 鎌田 真由美; 玉田 嘉紀; 小島 諒介; 内野 詠一郎
        あいみっく, Feb. 2020
      • Health improvement framework for planning actionable treatment process using surrogate Bayesian model.
        Kazuki Nakamura; Ryosuke Kojima; Eiichiro Uchino; Koichi Murashita; Ken Itoh; Shigeyuki Nakaji; Yasushi Okuno
        CoRR, 2020
      • Classification of glomerular pathological findings using deep learning and nephrologist-AI collective intelligence approach.
        Eiichiro Uchino; Kanata Suzuki; Noriaki Sato; Ryosuke Kojima; Yoshinori Tamada; Shusuke Hiragi; Hideki Yokoi; Nobuhiro Yugami; Sachiko Minamiguchi; Hironori Haga; Motoko Yanagita; Yasushi Okuno
        Int. J. Medical Informatics, 2020, Peer-reviewed
      • The relationship between cigarette smoking and the tongue microbiome in an East Asian population.
        Noriaki Sato; Masanori Kakuta; Eiichiro Uchino; Takanori Hasegawa; Ryosuke Kojima; Wataru Kobayashi; Kaori Sawada; Yoshihiro Tamura; Itoyo Tokuda; Seiya Imoto; Shigeyuki Nakaji; Koichi Murashita; Motoko Yanagita; Yasushi Okuno
        Journal of oral microbiology, 2020, Peer-reviewed
      • An in silico Approach for Integrating Phenotypic and Target‐based Approaches in Drug Discovery
        Hiroaki Iwata; Ryosuke Kojima; Yasushi Okuno
        Molecular Informatics, Jan. 2020, Peer-reviewed
      • Sound source localization based on von-Mises-Bernoulli deep neural network
        Kazuhiro Nakadai; Shungo Masaki; Ryosuke Kojima; Osamu Sugiyama; Katsutoshi Itoyama; Kenji Nishida
        2020 IEEE/SICE International Symposium on System Integration (SII2020), Jan. 2020, Peer-reviewed
      • Prediction and Interpretable Visualization of Retrosynthetic Reactions Using Graph Convolutional Networks
        Shoichi Ishida; Kei Terayama; Ryosuke Kojima; Kiyosei Takasu; Yasushi Okuno
        Journal of Chemical Information and Modeling, 23 Dec. 2019, Peer-reviewed
      • MGeND: an integrated database for Japanese clinical and genomic information
        Mayumi Kamada; Masahiko Nakatsui; Ryosuke Kojima; Sachio Nohara; Eiichiro Uchino; Shigeki Tanishima; Masaya Sugiyama; Kenjiro Kosaki; Katsushi Tokunaga; Masashi Mizokami; Yasushi Okuno
        Human Genome Variation, Dec. 2019
      • Design and assessment of multiple-sound source localization using microphone arrays.
        Daniel Gabriel; Ryosuke Kojima; Kotaro Hoshiba; Katsutoshi Itoyama; Kenji Nishida; Kazuhiro Nakadai
        IEEE/SICE International Symposium on System Integration, SII 2019, Paris, France, January 14-16, 2019, 2019, Peer-reviewed
      • Batched Sparse Matrix Multiplication for Accelerating Graph Convolutional Networks.
        Yusuke Nagasaka; Akira Nukada; Ryosuke Kojima; Satoshi Matsuoka
        19th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing, CCGRID 2019, Larnaca, Cyprus, May 14-17, 2019, 2019, Peer-reviewed
      • Logical inference as cost minimization in vector spaces
        Taisuke Sato; Ryosuke Kojima
        IJCAI 2019 Workshop on Declarative Learning Based Programming, 2019, Peer-reviewed
      • A tensorized logic programming language for large-scale data.
        Ryosuke Kojima; Taisuke Sato
        CoRR, 2019, Peer-reviewed
      • T-PRISM: A tensorized logic programming language for data modelling
        Ryosuke Kojima; Taisuke Sato
        IJCAI 2019 Workshop on neural-symbolic learning and reasoning, 2019, Peer-reviewed
      • 2D sound source position estimation using microphone arrays and its application to a VR-based bird song analysis system.
        Daniel Gabriel; Ryosuke Kojima; Kotaro Hoshiba; Katsutoshi Itoyama; Kenji Nishida; Kazuhiro Nakadai
        Advanced Robotics, 2019, Peer-reviewed
      • Med2RDF: Semantic Biomedical Knowledge-base and APIs for the Clinical Genome Medicine.
        Mayumi Kamada; Toshiaki Katayama; Shuichi Kawashima; Ryosuke Kojima; Masahiko Nakatsui; Yasushi Okuno
        2019
      • Learning to rank in PRISM
        Ryosuke Kojima; Taisuke Sato
        International Journal of Approximate Reasoning, 01 Feb. 2018, Peer-reviewed
      • A spatial-Cue-Based probabilistic model for bird song scene analysis
        Ryosuke Kojima; Reiji Suzuki; Osamu Sugiyama; Kotaro Hoshiba; Kazuhiro Nakadai
        Proceedings - 2017 International Conference on Data Science and Advanced Analytics, DSAA 2017, 16 Jan. 2018, Peer-reviewed
      • HARK-Bird-Box: A Portable Real-time Bird Song Scene Analysis System.
        Ryosuke Kojima; Osamu Sugiyama; Kotaro Hoshiba; Reiji Suzuki; Kazuhiro Nakadai
        2018 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2018, Madrid, Spain, October 1-5, 2018, 2018, Peer-reviewed
      • A spatiotemporal analysis of acoustic interactions between great reed warblers (Acrocephalus arundinaceus) using microphone arrays and robot audition software HARK
        Reiji Suzuki; Shiho Matsubayashi; Fumiyuki Saito; Tatsuyoshi Murate; Tomohisa Masuda; Koichi Yamamoto; Ryosuke Kojima; Kazuhiro Nakadai; Hiroshi G. Okuno
        Ecology and Evolution, 01 Jan. 2018, Peer-reviewed
      • Development of microphone-array-embedded UAV for search and rescue task
        Kazuhiro Nakadai; Makoto Kumon; Hiroshi G. Okuno; Kotaro Hoshiba; Mizuho Wakabayashi; Kai Washizaki; Takahiro Ishiki; Daniel Gabriel; Yoshiaki Bando; Takayuki Morito; Ryosuke Kojima; Osamu Sugiyama
        IEEE International Conference on Intelligent Robots and Systems, 13 Dec. 2017, Peer-reviewed
      • Acoustic monitoring of the great reed warbler using multiple microphone arrays and robot audition
        Shiho Matsubayashi; Reiji Suzuki; Fumiyuki Saito; Tatsuyoshi Murate; Tomohisa Masuda; Koichi Yamamoto; Ryosuke Kojima; Kazuhiro Nakadai; Hiroshi G. Okuno
        Journal of Robotics and Mechatronics, 01 Feb. 2017, Peer-reviewed
      • Outdoor sound source detection using a quadcopter with microphone array
        Takuma Ohata; Keisuke Nakamura; Akihide Nagamine; Takeshi Mizumoto; Takayuki Ishizaki; Ryosuke Kojima; Osamu Sugiyama; Kazuhiro Nakadai
        Journal of Robotics and Mechatronics, 01 Feb. 2017, Peer-reviewed
      • Design and assessment of sound source localization system with a UAV-Embedded microphone array
        Kotaro Hoshiba; Osamu Sugiyama; Akihide Nagamine; Ryosuke Kojima; Makoto Kumon; Kazuhiro Nakadai
        Journal of Robotics and Mechatronics, 01 Feb. 2017, Peer-reviewed
      • Outdoor acoustic event identification with DNN using a quadrotor-embedded microphone array
        Osamu Sugiyama; Satoshi Uemura; Akihide Nagamine; Ryosuke Kojima; Keisuke Nakamura; Kazuhiro Nakadai
        Journal of Robotics and Mechatronics, 01 Feb. 2017, Peer-reviewed
      • Bird song scene analysis using a spatial-cue-based probabilistic model
        Ryosuke Kojima; Osamu Sugiyama; Kotaro Hoshiba; Kazuhiro Nakadai; Reiji Suzuki; Charles E. Taylor
        Journal of Robotics and Mechatronics, 01 Feb. 2017, Peer-reviewed
      • Construction of Knowledge-Base for Clinical Interpretation of Genomic Variants.
        Mayumi Kamada; Toshiaki Katayama; Shuichi Kawashima; Ryosuke Kojima; Masahiko Nakatsui; Yasushi Okuno
        Proceedings of the 10th International Conference on Semantic Web Applications and Tools for Health Care and Life Sciences (SWAT4LS 2017), Rome, Italy, December 4-7, 2017., 2017, Peer-reviewed
      • Computer-aided diagnosis of lung nodule using gradient tree boosting and Bayesian optimization.
        Mizuho Nishio; Mitsuo Nishizawa; Osamu Sugiyama; Ryosuke Kojima; Masahiro Yakami; Tomohiro Kuroda; Kaori Togashi
        CoRR, 2017, Peer-reviewed
      • Reduction of Computational Cost Using Two-Stage Deep Neural Network for Training for Denoising and Sound Source Identification
        Takayuki Morito; Osamu Sugiyama; Satoshi Uemura; Ryosuke Kojima; Kazuhiro Nakadai
        TRENDS IN APPLIED KNOWLEDGE-BASED SYSTEMS AND DATA SCIENCE, 2016, Peer-reviewed
      • Partially Shared Deep Neural Network in Sound Source Separation and Identification Using a UAV-Embedded Microphone Array
        Takayuki Morito; Osamu Sugiyama; Ryosuke Kojima; Kazuhiro Nakadai
        2016 IEEE/RSJ INTERNATIONAL CONFERENCE ON INTELLIGENT ROBOTS AND SYSTEMS (IROS 2016), 2016, Peer-reviewed
      • Semi-Automatic Bird Song Analysis by Spatial-Cue-Based Integration of Sound Source Detection, Localization, Separation, and Identification
        Ryosuke Kojima; Osamu Sugiyama; Reiji Suzuki; Kazuhiro Nakadai; Charles E. Taylor
        2016 IEEE/RSJ INTERNATIONAL CONFERENCE ON INTELLIGENT ROBOTS AND SYSTEMS (IROS 2016), 2016, Peer-reviewed
      • Multimodal Scene Understanding Framework and Its Application to Cooking Recognition
        Ryosuke Kojima; Osamu Sugiyama; Kazuhiro Nakadai
        APPLIED ARTIFICIAL INTELLIGENCE, 2016, Peer-reviewed
      • Interactive Interface to Optimize Sound Source Localization with HARK
        Osamu Sugiyama; Ryosuke Kojima; Kazuhiro Nakadai
        CURRENT APPROACHES IN APPLIED ARTIFICIAL INTELLIGENCE, 2015, Peer-reviewed
      • Interactive Interface to Optimize Sound Source Localization based on Microphone Array with Coarse-to-fine Tuning for Humanoids
        Osamu Sugiyama; Ryosuke Kojima; Kazuhiro Nakadai
        2015 IEEE-RAS 15TH INTERNATIONAL CONFERENCE ON HUMANOID ROBOTS (HUMANOIDS), 2015, Peer-reviewed
      • Outdoor Acoustic Event Identification using Sound Source Separation and Deep Learning with a Quadrotor-Embedded Microphone Array
        Satoshi Uemura; Osamu Sugiyama; Ryosuke Kojima; Kazuhiro Nakadai
        The 6th International Conference on Advanced Mechatronics (ICAM2015), 2015, Peer-reviewed
      • Multimodal scene understanding using CNN and hierarchical HMM for a cooking support robot
        Ryosuke Kojima; Osamu Sugiyama; Kazuhiro Nakadai
        Machine Learning Summer School, 2015
      • Scene Understanding Based on Sound and Text Information for a Cooking Support Robot
        Ryosuke Kojima; Osamu Sugiyama; Kazuhiro Nakadai
        CURRENT APPROACHES IN APPLIED ARTIFICIAL INTELLIGENCE, 2015, Peer-reviewed
      • Audio-visual scene understanding utilizing text information for a cooking support robot
        Ryosuke Kojima; Osamu Sugiyama; Kazuhiro Nakadai
        2015 IEEE/RSJ INTERNATIONAL CONFERENCE ON INTELLIGENT ROBOTS AND SYSTEMS (IROS), 2015, Peer-reviewed
      • Goal and Plan Recognition via Parse Trees Using Prefix and Infix Probability Computation
        Ryosuke Kojima; Taisuke Sato
        INDUCTIVE LOGIC PROGRAMMING, ILP 2014, 2015, Peer-reviewed
      • Analysis of Medical Records by Generative Models
        R. Kojima; T. Sato
        Workshop on MDP/POMDP Applications to Medical Data, 2014
      • Prefix and infix probability computation in PRISM
        Ryosuke Kojima; Taisuke Sato
        Probabilistic Logic Programming 2014, An ICLP workshop, 2014, Peer-reviewed
      • A plan recognition method using prefix computation in Web access log analysis
        Ryosuke Kojima; Taisuke Sato
        Transactions of the Japanese Society for Artificial Intelligence, 2014, Peer-reviewed

      Misc.

      • Investigation of Lower Limit Performance of Microphones for Automatic Alarm Sound Detection System
        岸本和昌; 竹村匡正; 山本豪志朗; 山本豪志朗; 山本豪志朗; 杉山治; 小島諒介; 黒田知宏; 黒田知宏; 黒田知宏
        医療情報学連合大会論文集(CD-ROM), 2022
      • 薬局ヒヤリハット事例に対する安全管理対策評価に関するAI開発
        岡本里香; 中津井雅彦; 中津井雅彦; 小島諒介
        日本医療安全学会学術総会抄録集, 2021
      • 薬局ヒヤリ・ハット事例に対する安全管理対策評価に関するAI開発
        岡本里香; 中津井雅彦; 小島諒介
        レギュラトリーサイエンス学会誌, 2021
      • 野外での鳥類鳴き声観測のためのWebベース録音ユニットと可視化ツールの試作
        炭谷晋司; 大和祐介; 鈴木麗璽; 小島諒介; 有田隆也; 中臺一博; 中臺一博; 奥乃博; 奥乃博
        日本ロボット学会学術講演会予稿集(CD-ROM), 2021
      • 専門医はもういらない?せまりくるAI時代 医療における人工知能「AI」
        植田彰彦; 植田彰彦; 小島諒介; 山口建; 濱西潤三; 万代昌紀; 奥野恭史
        産婦人科の実際, 2020
      • 【AI、ICT】臨床データを用いた医療ビッグデータの解析と創薬への応用
        内野 詠一郎; 佐藤 憲明; 小島 諒介; 玉田 嘉紀; 柳田 素子; 奥野 恭史
        日本腎臓学会誌, Mar. 2020
      • ダウン症候群の乳幼児の視線位置の特徴探索と発達の関連
        岡本麻里; 植田彰彦; 小島諒介; 毎原敏郎; 土屋賢治; 和田敬仁; 奥野恭史
        日本小児遺伝学会学術集会プログラム・抄録集, 2021
      • 非構造化ドキュメントからの情報抽出のためのアノテーション・マニュアルキュレーションシステム
        中津井雅彦; 小島諒介; 岩田浩明; 奥野恭史
        言語処理学会年次大会発表論文集(Web), 2020
      • 医薬品添付文書からの薬剤情報抽出システム
        小島諒介; 岩田浩明; 中津井雅彦; 奥野恭史
        言語処理学会年次大会発表論文集(Web), 2020
      • AIとがん研究 その妥当性,有効性 分子レベルにおけるAIの創薬応用
        田中良尚; 田中良尚; 小島諒介; 玉田嘉紀; 鎌田真由美; 奥野恭史; 奥野恭史
        実験医学, Oct. 2019
      • 深層学習と論理プログラミングの融合に関する最新の動向
        小島諒介; 佐藤泰介
        人工知能, 01 Sep. 2019
      • 創薬とIT【標的分子探索,ドラッグリポジショニング,オミクスメカニズム解明】
        岩田浩明; 小島諒介; 玉田嘉紀
        月刊細胞, Jun. 2019
      • 生活習慣病とIT・デバイス技術 機械学習を用いた医療データ解析
        佐藤憲明; 小島諒介; 奥野恭史
        月刊メディカル・サイエンス・ダイジェスト, 25 May 2019
      • 重度障害児(者)のコミュニケーション向上に向けたアイトラッカーを用いた視線分析
        小島諒介; 鈴木真知子; 荒木綾乃; 奥野恭史
        日本重症心身障害学会誌, 2019
      • MGeND:ゲノム医療を促進する臨床ゲノム情報統合データベース
        鎌田真由美; 中津井雅彦; 小島諒介; 奥野恭史
        日本人類遺伝学会大会プログラム・抄録集, 2019
      • マイクロホンアレイを用いた鳥類の歌行動の三次元音源到来方向推定
        林晃一郎; 鈴木麗璽; 松林志保; 有田隆也; 小島諒介; 中臺一博; 中臺一博; 奥乃博
        日本鳥学会大会講演要旨集, 14 Sep. 2018
      • マイクロホンアレイを用いた鳥類の3次元音源到来方向推定
        林晃一郎; 鈴木麗璽; 松林志保; 有田隆也; 小島諒介; 中臺一博; 奧乃博
        日本鳥学会2018年度大会講演要旨集, Sep. 2018
      • シリーズ新潮流 Vol.9―The Next Step of Imaging Technology 人工知能で医療は変わるのか―加速する医療分野のAI開発の現在と未来 臨床におけるAI活用の現状と展望 6.AIを用いた創薬の実際と今後の展望―化学構造のための深層学習技術GCNの紹介とその応用
        小島諒介; 奥野恭史
        Innervision, 25 Jun. 2018
      • 【シリーズ新潮流Vol.9-The Next Step of Imaging Technology 人工知能で医療は変わるのか-加速する医療分野のAI開発の現在と未来】 臨床におけるAI活用の現状と展望 AIを用いた創薬の実際と今後の展望 化学構造のための深層学習技術GCNの紹介とその応用
        小島 諒介; 奥野 恭史
        INNERVISION, Jun. 2018
      • Plan-Intention-Event Framework for Scene Analysis Based on Robot Audition and Plan Recognition
        Kojima Ryosuke
        Mar. 2017
      • 創薬におけるAIの可能性
        種石慶; 岩田浩明; 小島諒介; 奥野恭史
        CICSJ Bulletin (Web), 2017
      • 創薬におけるAIの可能性
        種石 慶; 岩田 浩明; 小島 諒介; 奥野 恭史
        日本化学会情報化学部会誌, 2017
      • HARK2.3の紹介とタフロボティクスチャレンジへの展開
        中臺一博; 中臺一博; 中臺一博; 坂東宜昭; 水本武志; 干場功太郎; 小島諒介; 糸山克寿; 杉山治; 公文誠; 奥乃博
        計測自動制御学会システムインテグレーション部門講演会(CD-ROM), 15 Dec. 2016
      • 空間情報を用いた鳥の歌分析
        小島 諒介; 杉山 治; 干場 功太郎; 鈴木 麗璽; 中臺 一博
        第46回AIチャレンジ研究会予稿集 (SIG-Challenge), 09 Nov. 2016, Invited
      • 複数のマイクロホンアレイとロボット聴覚ソフトウエアHARKを用いた野鳥の観測精度の検討
        松林志保; 鈴木麗璽; 小島諒介; 中臺一博
        人工知能学会2015年度研究会優秀賞記念講演集, 09 Nov. 2016, Invited
      • マイクロホンアレイを用いた森林性野鳥の定位精度の検証とその応用:歌の空間的な位置およびタイミングから知る複数種の棲み分け
        松林志保; 鈴木麗璽; 小島諒介; 中臺一博; 中臺一博; 奥乃博
        日本鳥学会大会講演要旨集, 16 Sep. 2016
      • マイクロホンアレイを用いたオオヨシキリのソングポスト定位
        鈴木麗璽; 松林志保; 斎藤史之; 村手達佳; 増田智久; 山本晃一; 小島諒介; 中臺一博; 中臺一博; 奥乃博
        日本鳥学会大会講演要旨集, 16 Sep. 2016
      • UAV搭載マイクロホンアレイを用いた音源探査の実環境評価
        干場功太郎; 小島諒介; 杉山治; 中臺一博; 中臺一博
        日本ロボット学会学術講演会予稿集(CD-ROM), 07 Sep. 2016
      • 音源位置を考慮した音源同定のための確率モデルとその学習
        小島諒介; 杉山治; 鈴木麗璽; 中臺一博
        第34回日本ロボット学会学術講演会 (RSJ2016)資料, 07 Sep. 2016
      • UAV搭載マイクアレイを用いた高雑音環境下における音イベント検出・識別の並列最適化
        杉山治; 小島諒介; 中臺一博; 中臺一博
        人工知能学会AIチャレンジ研究会(Web), 2016
      • 部分共有アーキテクチャを用いた深層学習ベースの音源同定の検討
        森戸隆之; 杉山治; 小島諒介; 中臺一博; 中臺一博
        人工知能学会AIチャレンジ研究会(Web), 2016
      • UAVを用いた屋外音環境理解における音源検出・識別の評価
        上村知史; 杉山治; 小島諒介; 中臺一博; 中臺一博
        計測自動制御学会システムインテグレーション部門講演会(CD-ROM), 14 Dec. 2015
      • 深層学習による多チャネル音響信号に対する音源同定の検討
        森戸隆之; 杉山治; 上村知史; 小島諒介; 中臺一博; 中臺一博
        計測自動制御学会システムインテグレーション部門講演会(CD-ROM), 14 Dec. 2015
      • Efficient cluster labeling using naive Bayes models
        小島 諒介; 亀谷 由隆; 佐藤 泰介
        人工知能基本問題研究会, 24 Jan. 2013

      Presentations

      • 深層学習と確率プログラミングを融合したEdwardについて
        小島 諒介
        産総研AIRC第17回人工知能セミナー:確率プログラミングの世界:論理と確率をつなぐ人工知能, 18 Oct. 2017, Invited

      Industrial Property Rights

      • 特開2019-049414, 特願2017-172452, 音響処理装置、音響処理方法及びプログラム
        中臺 一博; ガブリエル ダニエル; 小島 諒介
      • 特開2018-040848, 特願2016-172985, 音響処理装置および音響処理方法
        中臺 一博; 小島 諒介
      • 特許第6173281号, 特開2016-051052, 特願2014-176141, 環境理解装置および環境理解方法
        小島 諒介; 中臺 一博
      • 特開2017-040794, 特願2015-162676, 音響処理装置及び音響処理方法
        中臺 一博; 小島 諒介
      • 特開2016-051052, 特願2014-176141, 環境理解装置および環境理解方法
        小島 諒介; 中臺 一博

      External funds: Kakenhi

      • データ駆動有機合成経路・反応予測モデルの構築
        Grant-in-Aid for Transformative Research Areas (A)
        Transformative Research Areas, Section (II)
        Kyoto University
        小島 諒介
        From 10 Sep. 2021, To 31 Mar. 2026, Granted
        ケモインフォマティクス;有機化学;機械学習;反応予測;逆合成経路探索
      • Robust AI by Integration of Knowledge Representation and Machine Learning
        Grant-in-Aid for Scientific Research (A)
        Medium-sized Section 61:Human informatics and related fields
        National Institute of Informatics
        井上 克巳
        From 05 Apr. 2021, To 31 Mar. 2025, Granted
        知識表現・推論;機械学習;ロバストAI;ニューロシンボリックAI;論理プログラミング
      • Systems pathology approach using deep learning to understand the effect of environmental exposure on the pathogenesis of common diseases
        Grant-in-Aid for Scientific Research (B)
        Basic Section 62010:Life, health and medical informatics-related
        Tohoku University
        荻島 創一
        From 01 Apr. 2021, To 31 Mar. 2024, Granted
        多因子疾患の発症機序;遺伝子・環境相互作用;アルツハイマー病;機械学習;深層学習
      • 野鳥行動解析のためのマルチモーダル生態環境理解・解析技術の構築
        Grant-in-Aid for Scientific Research (A)
        Medium-sized Section 45:Biology at organismal to population levels and anthropology, and related fields
        Tokyo Institute of Technology
        中臺 一博
        From 01 Apr. 2020, To 31 Mar. 2023, Granted
        マルチモーダル環境理解技術;ロボット聴覚;音景解析技術;野鳥生態系影響評価;個体間コミュニケーション
      • Applications of robot audition techniques to multi-scale observations of ecological dynamics in bird vocalizations
        Fund for the Promotion of Joint International Research (Fostering Joint International Research (B))
        Medium-sized Section 61:Human informatics and related fields
        Nagoya University
        鈴木 麗璽
        From 07 Oct. 2019, To 31 Mar. 2024, Granted
        ロボット聴覚;鳥類の鳴き声;マイクロホンアレイ;行動生態観測;生態音響学
      • Outdoor Scene Understanding for Bird Song Analysis
        Grant-in-Aid for Scientific Research (C)
        Tokyo Institute of Technology
        Kazuhiro Nakadai
        From 01 Apr. 2016, To 31 Mar. 2019, Project Closed
        ロボット聴覚;人工知能;音響信号処理;行動学;情報システム;鳥の歌の解析;音環境理解;マイクロホンアレイ処理;音源識別;深層学習
      • 知的障害患者に対する治療や療育効果判定のための視線計測によるバイオマーカーの確立
        Grant-in-Aid for Scientific Research (C)
        Basic Section 52050:Embryonic medicine and pediatrics-related
        Kyoto University
        和田 敬仁
        From 01 Apr. 2022, To 31 Mar. 2025, Granted
        視線計測;知的障害;発達障害;バイオマーカー;ATR-X症候群
      • Digitalization-driven Transformative Organic Synthesis (Digi-TOS)
        Grant-in-Aid for Transformative Research Areas (A)
        Transformative Research Areas, Section (II)
        Kyushu University
        大嶋 孝志
        From 10 Sep. 2021, To 31 Mar. 2026, Granted
        有機合成化学;情報科学;デジタル化;自動化;データベース;機械学習;官能基評価キット;デジタル創薬;フロー反応;ベイズ最適化
      • Development and validation of a metabolic network AI model for representing and evaluating metabolic states based on multi-omics data
        Grant-in-Aid for Scientific Research (B)
        Basic Section 59040:Nutrition science and health science-related
        University of Yamanashi
        大岡 忠生
        From 01 Apr. 2024, To 31 Mar. 2027, Granted
        オミクス情報;生活習慣病;代謝ネットワーク;ネットワークモデル;人工知能
      list
        Last Updated :2024/10/23

        Education

        Teaching subject(s)

        • From 01 Apr. 2024, To 31 Mar. 2025
          Health Psychology II
          U108, Spring, Institute for Liberal Arts and Sciences, 2
        • From 01 Apr. 2024, To 31 Mar. 2025
          Health Psychology II
          U108, Fall, Institute for Liberal Arts and Sciences, 2
        • From 01 Apr. 2024, To 31 Mar. 2025
          Big data science in medicine
          3236, Fall, Faculty of Medicine, 1
        • From 01 Apr. 2024, To 31 Mar. 2025
          Introduction to Human Health Sciences IV
          3204, Fall, Faculty of Medicine, 1
        • From 01 Apr. 2024, To 31 Mar. 2025
          Biomedical data science seminar
          M445, Fall, Graduate School of Medicine, 2
        • From 01 Apr. 2024, To 31 Mar. 2025
          Biomedical data science lecture
          M444, Spring, Graduate School of Medicine, 2
        • From 01 Apr. 2024, To 31 Mar. 2025
          Special lecture for big data science in medicine
          M357, Spring, Graduate School of Medicine, 2
        • From 01 Apr. 2024, To 31 Mar. 2025
          The Graduate Courses of Integrated Reseach Training (Practice)
          M053, Year-long, Graduate School of Medicine, 2
        • From 01 Apr. 2024, To 31 Mar. 2025
          Introduction to Human Health Sciences V
          3205, Spring, Faculty of Medicine, 2
        • From 01 Apr. 2024, To 31 Mar. 2025
          Special Seminar of Multidisciplinary Medical Sciences
          M456, Year-long, Graduate School of Medicine, 8
        • From 01 Apr. 2024, To 31 Mar. 2025
          Biomedical data science advanced research
          D445, Year-long, Graduate School of Medicine, 4
        • From 01 Apr. 2024, To 31 Mar. 2025
          Biomedical data science advanced seminar
          D444, Year-long, Graduate School of Medicine, 4
        • From 01 Apr. 2024, To 31 Mar. 2025
          Biomedical data science advanced lecture
          D443, Year-long, Graduate School of Medicine, 4
        • From 01 Apr. 2024, To 31 Mar. 2025
          Biomedical data science practice
          M446, Year-long, Graduate School of Medicine, 4
        • From 01 Apr. 2024, To 31 Mar. 2025
          The Graduate Courses of Integrated Reseach Training (seminar)
          M052, Year-long, Graduate School of Medicine, 4
        • From 01 Apr. 2023, To 31 Mar. 2024
          Health Psychology II
          U108, Fall, Institute for Liberal Arts and Sciences, 2
        • From 01 Apr. 2023, To 31 Mar. 2024
          Health Psychology II
          U108, Spring, Institute for Liberal Arts and Sciences, 2
        • From 01 Apr. 2023, To 31 Mar. 2024
          Big data science in medicine
          3236, Fall, Faculty of Medicine, 1
        • From 01 Apr. 2023, To 31 Mar. 2024
          Special lecture for big data science in medicine
          M357, Spring, Graduate School of Medicine, 2
        • From 01 Apr. 2023, To 31 Mar. 2024
          Introduction to Human Health Sciences V
          3205, Spring, Faculty of Medicine, 2
        • From 01 Apr. 2022, To 31 Mar. 2023
          Health Psychology II
          U108, Fall, Institute for Liberal Arts and Sciences, 2
        • From 01 Apr. 2022, To 31 Mar. 2023
          Introduction to Human Health Sciences V
          3205, Spring, Faculty of Medicine, 2
        • From 01 Apr. 2022, To 31 Mar. 2023
          Health Psychology II
          U108, Spring, Institute for Liberal Arts and Sciences, 2
        • From 01 Apr. 2022, To 31 Mar. 2023
          Big data science in medicine
          3236, Fall, Faculty of Medicine, 1
        • From 01 Apr. 2022, To 31 Mar. 2023
          Special lecture for big data science in medicine
          M357, Spring, Graduate School of Medicine, 2
        list
          Last Updated :2024/10/23

          Administration

          Faculty management (title, position)

          • From 01 Apr. 2023, To 31 Mar. 2024
            学術委員会委員

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