Ryosuke Kojima's Page

募集

研究に興味のある学生を随時募集しています！！

学部生・外部生でも研究をしてみたい意欲のある方は気軽に連絡して下さい！

開発・活動

講義資料・勉強会情報・インターン情報
ロボット聴覚オープンソース・ソフトウェア：HARK
- 第11-17回HARK講習会　講師, 第4回HARK hackathon スタッフ
- [t6][t9][c3] にて音源定位・音源分離に利用
記号統計モデリングオープンソース・ソフトウェア：PRISM (github page)
- Ver. 2.2以降開発メンバ
- [t8] にて Preference learning に利用
- [t15] にて階層隠れマルコフモデル HHMM の確率計算に利用
- [t16][t17] にて確率文脈自由文法 PCFG の Prefix 確率計算に利用
ライフサイエンス向けグラフニューラルネットワークプラットフォーム：kGCN [t1]
- [t3] にて反応予測に利用
講義等
- ビッグデータ医科学特論（1週分）, ビッグデータ医科学総論（1週分）, 生活習慣看護学特論（1週分）, 基礎バイオインフォマティクス（1週分）
- 社会変革型医療データサイエンティスト育成講義機械学習基礎講師
技術顧問等
- 京都大学人工知能研究会 KaiRA 　技術顧問
- ScrumSign　技術顧問

略歴

2014年：東京工業大学大学院情報理工学研究科計算工学専攻修士課程修了
2017年：東京工業大学大学院情報理工学研究科情報環境学専攻博士課程修了，博士(工学)
2017年：京都大学医学研究科大学院医学研究科人間健康科学系専攻ビッグデータ医科学分野, 特定助教
2021年：京都大学医学研究科大学院医学研究科人間健康科学系専攻, 講師

学術雑誌等

@article{iwata2023vgae,
author = {Iwata, Hiroaki and Nakai, Taichi and Koyama, Takuto and Matsumoto, Shigeyuki and Kojima, Ryosuke and Okuno, Yasushi},
title = {VGAE-MCTS: A New Molecular Generative Model Combining the Variational Graph Auto-Encoder and Monte Carlo Tree Search},
journal = {Journal of Chemical Information and Modeling},
volume = {63},
number = {23},
pages = {7392-7400},
year = {2023},
doi = {10.1021/acs.jcim.3c01220},
note ={PMID: 37993764},
URL = {https://doi.org/10.1021/acs.jcim.3c01220},
}

@article{hatano2023network,
  title={Network-based prediction approach for cancer-specific driver missense mutations using a graph neural network},
  author={Hatano, Narumi and Kamada, Mayumi and Kojima, Ryosuke and Okuno, Yasushi},
  journal={BMC bioinformatics},
  volume={24},
  number={1},
  pages={1--15},
  year={2023},
  publisher={BioMed Central}
}

@article{okamoto2023towards,
title = {Toward AI-supported evaluation for safety control measures against near-miss events in pharmaceutical products},
journal = {Safety Science},
volume = {168},
pages = {106314},
year = {2023},
issn = {0925-7535},
doi = {https://doi.org/10.1016/j.ssci.2023.106314},
url = {https://www.sciencedirect.com/science/article/pii/S0925753523002564},
author = {Okamoto, Rika and Kojima, Ryosuke and Nakatsui, Masahiko},
}

@article{koyama2023jcim,
author = {Koyama, Takuto and Matsumoto, Shigeyuki and Iwata, Hiroaki and Kojima, Ryosuke and Okuno, Yasushi},
title = {Improving Compound Protein Interaction Prediction by Self-Training with Augmenting Negative Samples},
journal = {Journal of Chemical Information and Modeling},
volume = {63},
number = {15},
pages = {4552-4559},
year = {2023},
doi = {10.1021/acs.jcim.3c00269},
note ={PMID: 37460105},
URL = {https://doi.org/10.1021/acs.jcim.3c00269},
eprint = {https://doi.org/10.1021/acs.jcim.3c00269}
}

@article{nakamura2023pmice,
author = {Nakamura, Kazuki and Uchino, Eiichiro and Sato, Noriaki and Araki, Ayano and Terayama, Kei and Kojima, Ryosuke and Murashita, Koichi and Itoh, Ken and Mikami, Tatsuya and Tamada, Yoshinori and Okuno, Yasushi},
title = {Individual health-disease phase diagrams for disease prevention based on machine learning},
journal = {Journal of Biomedical Informatics},
year = {2023},
doi = {https://doi.org/10.1016/j.jbi.2023.104448},
url = {https://www.sciencedirect.com/science/article/pii/S1532046423001697},
}

@article{igarashi2023development,
  title={Development of a GCN-based model to predict in vitro phototoxicity from the chemical structure and HOMO-LUMO gap},
  author={Igarashi, Yoshinobu and Re, Suyong and Kojima, Ryosuke and Okuno, Yasushi and Yamada, Hiroshi},
  journal={The Journal of Toxicological Sciences},
  volume={48},
  number={5},
  pages={243--249},
  year={2023},
  publisher={The Japanese Society of Toxicology},
  url={https://www.jstage.jst.go.jp/article/jts/48/5/48_243/_article},
}
	
@article{mimoto2023privacy,
  title={Privacy-Preserving Correlation Coefficient},
  author={Mimoto, Tomoaki and Yokoyama, Hiroyuki and Nakamura, Toru and Isohara, Takamasa and Hashimoto, Masayuki and Kojima, Ryosuke and Hasegawa, Aki and Okuno, Yasushi},
  journal={IEICE TRANSACTIONS on Information and Systems},
  volume={106},
  number={5},
  pages={868--876},
  year={2023},
  publisher={The Institute of Electronics, Information and Communication Engineers},
  url = {https://search.ieice.org/bin/summary.php?id=e106-d_5_868},
}

@article{ishida2022retrek,
author = {Ishida, Shoichi and Terayama, Kei and Kojima, Ryosuke and Takasu, Kiyosei and Okuno, Yasushi},
title = {AI-Driven Synthetic Route Design Incorporated with Retrosynthesis Knowledge},
journal = {Journal of Chemical Information and Modeling},
year = {2022},
doi = {10.1021/acs.jcim.1c01074},
note ={PMID: 35258953},
url = "https://doi.org/10.1021/acs.jcim.1c01074",
}

@article{okamoto2022characterizing,
  title={Characterizing eye-gaze positions of people with severe motor dysfunction: Novel scoring metrics using eye-tracking and video analysis},
  author={Okamoto, Mari and Kojima, Ryosuke and Ueda, Akihiko and Suzuki, Machiko and Okuno, Yasushi},
  journal={PloS one},
  volume={17},
  number={8},
  pages={e0265623},
  year={2022},
  url={https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0265623},
  publisher={Public Library of Science San Francisco, CA USA}
}

@article{nakamura2021health,
  title={Health improvement framework for actionable treatment planning using a surrogate Bayesian model},
  author={Nakamura, Kazuki and Kojima, Ryosuke and Uchino, Eiichiro and Ono, Koh and Yanagita, Motoko and Murashita, Koichi and Itoh, Ken and Nakaji, Shigeyuki and Okuno, Yasushi},
  journal={Nature Communications},
  volume={12},
  number={1},
  pages={1--15},
  year={2021},
  publisher={Nature Publishing Group},
  url="https://www.nature.com/articles/s41467-021-23319-1",
}

@article{sato2021prediction,
  title={Prediction and visualization of acute kidney injury in intensive care unit using one-dimensional convolutional neural networks based on routinely collected data},
  author={Sato, Noriaki and Uchino, Eiichiro and Kojima, Ryosuke and Hiragi, Shusuke and Yanagita, Motoko and Okuno, Yasushi},
  journal={Computer Methods and Programs in Biomedicine},
  pages={106129},
  year={2021},
  publisher={Elsevier}
}

@article{sato2021evaluation,
  title={Evaluation of kidney histological images using unsupervised deep learning},
  author={Sato, Noriaki and Uchino, Eiichiro and Kojima, Ryosuke and Sakuragi, Minoru and Hiragi, Shusuke and Minamiguchi, Sachiko and Haga, Hironori and Yokoi, Hideki and Yanagita, Motoko and Okuno, Yasushi},
  journal={Kidney international reports},
  volume={6},
  number={9},
  pages={2445--2454},
  year={2021},
  publisher={Elsevier}
}

@article{kojima2020kgcn,
  title={kGCN: a graph-based deep learning framework for chemical structures},
  author={Kojima, Ryosuke and Ishida, Shoichi and Ohta, Masateru and Iwata, Hiroaki and Honma, Teruki and Okuno, Yasushi},
  journal={Journal of Cheminformatics},
  volume={12},
  pages={1--10},
  year={2020},
  publisher={Springer},
  url="https://link.springer.com/content/pdf/10.1186/s13321-020-00435-6.pdf",
}

@article{uchino2020classification,
  title={Classification of glomerular pathological findings using deep learning and nephrologist-AI collective intelligence approach},
  author={Uchino, Eiichiro and Suzuki, Kanata and Sato, Noriaki and Kojima, Ryosuke and Tamada, Yoshinori and Hiragi, Shusuke and Yokoi, Hideki and Yugami, Nobuhiro and Minamiguchi, Sachiko and Haga, Hironori and others},
journal = "International Journal of Medical Informatics",
volume = "141",
pages = "104231",
year = "2020",
issn = "1386-5056",
doi = "https://doi.org/10.1016/j.ijmedinf.2020.104231",
url = "http://www.sciencedirect.com/science/article/pii/S1386505619314595",
}
	
@article{sato2020relationship,
  title={The relationship between cigarette smoking and the tongue microbiome in an East Asian population},
  author={Sato, Noriaki and Kakuta, Masanori and Uchino, Eiichiro and Hasegawa, Takanori and Kojima, Ryosuke and Kobayashi, Wataru and Sawada, Kaori and Tamura, Yoshihiro and Tokuda, Itoyo and Imoto, Seiya and others},
  journal={Journal of Oral Microbiology},
  volume={12},
  number={1},
  pages={1742527},
  year={2020},
  publisher={Taylor \& Francis}
}

@article{koshimizu2020,
title = "Prediction of blood pressure variability using deep neural networks",
journal = "International Journal of Medical Informatics",
volume = "136",
pages = "104067",
year = "2020",
issn = "1386-5056",
doi = "https://doi.org/10.1016/j.ijmedinf.2019.104067",
url = "http://www.sciencedirect.com/science/article/pii/S1386505619311578",
author = "Hiroshi Koshimizu and Ryosuke Kojima and Kazuomi Kario and Yasushi Okuno",
keywords = "Blood pressure variability, Blood pressure prediction, Deep neural networks, Time-series analysis, Telemedicine",
}
	
@article{ishida2019,
  author = {Ishida, Shoichi and Terayama, Kei and Kojima, Ryosuke and Takasu, Kiyosei and Okuno, Yasushi},
  title = {Prediction and Interpretable Visualization of Retrosynthetic Reactions Using Graph Convolutional Networks},
  journal = {Journal of Chemical Information and Modeling},
  volume = {59},
  number = {12},
  pages = {5026-5033},
  year = {2019},
  doi = {10.1021/acs.jcim.9b00538},
  url = {https://doi.org/10.1021/acs.jcim.9b00538},
}

@article{kamada2019mgend,
  title={MGeND: an integrated database for Japanese clinical and genomic information},
  author={Kamada, Mayumi and Nakatsui, Masahiko and Kojima, Ryosuke and Nohara, Sachio and Uchino, Eiichiro and Tanishima, Shigeki and Sugiyama, Masaya and Kosaki, Kenjiro and Tokunaga, Katsushi and Mizokami, Masashi and others},
  journal={Human Genome Variation},
  volume={6},
  number={1},
  pages={1--5},
  year={2019},
  publisher={Nature Publishing Group}
}

@article{iwata2020silico,
  title={An in silico Approach for Integrating Phenotypic and Target-based Approaches in Drug Discovery},
  author={Iwata, Hiroaki and Kojima, Ryosuke and Okuno, Yasushi},
  journal={Molecular informatics},
  volume={39},
  number={1-2},
  pages={1900096},
  year={2020},
  publisher={Wiley Online Library}
}

@article{gabriel20192d,
  title={2D sound source position estimation using microphone arrays and its application to a VR-based bird song analysis system},
  author={Gabriel, Daniel and Kojima, Ryosuke and Hoshiba, Kotaro and Itoyama, Katsutoshi and Nishida, Kenji and Nakadai, Kazuhiro},
  journal={Advanced Robotics},
  pages={1--12},
  year={2019},
  publisher={Taylor \& Francis},
  url="https://www.tandfonline.com/eprint/JGU52xe9Anmbhc5thIRD/full?target=10.1080/01691864.2019.1598491",
}
	
@article{kojima2019pimd,
  title={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},
  author={小島 諒介 and 鈴木 真知子 and 荒木 綾乃 and 奥野 恭史},
  journal={日本重症心身障害学会誌},
  volume={44},
  number={3},
  pages={537--545},
  year={2019},
  publisher={日本重症心身障害学会}
}

@article{nishio2018computer,
  title={Computer-aided diagnosis of lung nodule using gradient tree boosting and Bayesian optimization},
  author={Nishio, Mizuho and Nishizawa, Mitsuo and Sugiyama, Osamu and Kojima, Ryosuke and Yakami, Masahiro and Kuroda, Tomohiro and Togashi, Kaori},
  journal={PloS one},
  volume={13},
  number={4},
  pages={e0195875},
  year={2018},
  publisher={Public Library of Science},
  url="https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0195875",
}

@article{kojima2018ijar,
title = {Learning to rank in PRISM},
journal = {International Journal of Approximate Reasoning},
volume = {93},
pages = {561 - 577},
year = {2018},
url = "http://www.sciencedirect.com/science/article/pii/S0888613X17303596",
author = "Ryosuke Kojima and Taisuke Sato",
}

@article{kojima2017jrm,
  title={Bird Song Scene Analysis Using a Spatial-Cue-Based Probabilistic Model},
  author={Kojima, Ryosuke and Sugiyama, Osamu and Hoshiba, Kotaro and Nakadai, Kazuhiro and Suzuki, Reiji and Taylor, Charles E.},
  journal={Journal of Robotics and Mechatronics},
  volume={29},
  number={1},
  year={2017},
  publisher={Fujipress},
  url="https://www.fujipress.jp/jrm/rb/robot002900010236/"
}

@article{suzuki2017spatiotemporal,
  title={A spatiotemporal analysis of acoustic interactions between great reed warblers (Acrocephalus arundinaceus) using microphone arrays and robot audition software HARK},
  author={Suzuki, Reiji and Matsubayashi, Shiho and Saito, Fumiyuki and Murate, Tatsuyoshi and Masuda, Tomohisa and Yamamoto, Koichi and Kojima, Ryosuke and Nakadai, Kazuhiro and Okuno, Hiroshi G},
  journal={Ecology and Evolution},
  year={2017},
  publisher={Wiley Online Library},
  url="http://onlinelibrary.wiley.com/doi/10.1002/ece3.3645/references",
}

@article{sugiyama2017outdoor,
  title={Outdoor Acoustic Event Identification with DNN Using a Quadrotor-Embedded Microphone Array (Special Issue on Robot Audition Technologies)},
  author={Sugiyama, Osamu and Uemura, Satoshi and Nagamine, Akihide and Kojima, Ryosuke and Nakamura, Keisuke and Nakadai, Kazuhiro},
  journal={Journal of robotics and mechatronics},
  volume={29},
  number={1},
  pages={188--197},
  year={2017},
  publisher={Fuji Technology Press},
  url="https://www.fujipress.jp/jrm/rb/robot002900010188/"
}

@article{hoshiba2017jrm,
  title={Design and Assessment of Sound Source Localization System with a UAV-embedded Microphone Array},
  author={Kotaro Hoshiba and Osamu Sugiyama and Akihide Nagamine and Ryosuke Kojima and Makoto Kumon and Kazuhiro Nakadai},
  journal={Journal of Robotics and Mechatronics},
  volume={29},
  number={1},
  year={2017},
  publisher={Fujipress},
  url="https://www.fujipress.jp/jrm/rb/robot002900010154/"
}

@article{ohata2017jrm,
  title={Outdoor Sound Source Detection for a Quadrotor with a Microphone Array},
  author={Takuma Ohata and Keisuke Nakamura and Akihide Nagamine and Takeshi Mizumoto and Takayuki Ishizaki and Ryosuke Kojima and Osamu Sugiyama and Kazuhiro Nakadai},
  journal={Journal of Robotics and Mechatronics},
  volume={29},
  number={1},
  year={2017},
  publisher={Fujipress},
  url="https://www.fujipress.jp/jrm/rb/robot002900010177/"
}

@article{Matsubayashi2017jrm,
  title={Acoustic monitoring of the great reed warbler using multiple microphone arrays and robot audition},
  author={Shiho Matsubayashi and Reiji Suzuki and Fumiyuki Saito and Tatsuyoshi Murate and Tomohisa Masuda and Koichi Yamamoto and Ryosuke Kojima and Kazuhiro Nakadai and Hiroshi G. Okuno},
  journal={Journal of Robotics and Mechatronics},
  volume={29},
  number={1},
  year={2017},
  publisher={Fujipress},
  url="https://www.fujipress.jp/jrm/rb/robot002900010224/"
}

@article{kojima2016multimodal,
  title={Multimodal Scene Understanding Framework and Its Application to Cooking Recognition},
  author={Kojima, Ryosuke and Sugiyama, Osamu and Nakadai, Kazuhiro},
  journal={Applied Artificial Intelligence},
  volume={30},
  number={3},
  pages={181--200},
  year={2016},
  publisher={Taylor \& Francis},
  url="http://www.tandfonline.com/doi/abs/10.1080/08839514.2016.1156461"
}

@incollection{kojima2015goal,
  title={Goal and Plan Recognition via Parse Trees Using Prefix and Infix Probability Computation},
  author={Kojima, Ryosuke and Sato, Taisuke},
  booktitle={Inductive Logic Programming},
  pages={76--91},
  year={2015},
  publisher={Springer},
  url="http://link.springer.com/chapter/10.1007%2F978-3-319-23708-4_6"
  
}

@article{Kojima14C-D75,
  title={アクセスログ分析における接頭部分列からのプラン認識},
  author={小島 諒介 and 佐藤 泰介},
  journal={人工知能学会論文誌},
  volume={29},
  number={3},
  pages={301-310},
  year={2014},
  url = "https://www.jstage.jst.go.jp/article/tjsai/29/3/29_C-D75/_article",
  doi={10.1527/tjsai.29.301}
}

国際会議・国際ワークショップ

@inproceedings{kojima2022neurips,
title={ Learning Deep Input-Output Stable Dynamics},
author={Ryosuke Kojima and Yuji Okamoto},
booktitle={Advances in Neural Information Processing Systems (NeurIPS)},
year={2022},
month={Nov.},
place={New Orleans},
url={https://openreview.net/forum?id=BTeJpF_BhQ6}
}

@inproceedings{kojima2019ijcaiws,
  title={T-PRISM: A tensorized logic programming language for data modelling},
  author = {Ryosuke Kojima and Taisuke Sato},
  howpublished={IJCAI 2019 Workshop on neural-symbolic learning and reasoning},
  url={https://sites.google.com/view/nesy2019/home},
  year={2019},
  month={Aug.},
  place={Macau},
}

@inproceedings{kojima2019aaaiws,
  title={A tensorized logic programming language for large-scale data},
  author = {Ryosuke Kojima and Taisuke Sato},
  howpublished={AAAI 2019 Workshop on Network Interpretability for Deep Learning},
  url={https://arxiv.org/html/1901.08813},
  year={2019},
  month={Jan.},
  place={Hawaii},
}

@inproceedings{kojima2018iros,
  title={HARK-Bird-Box: A Portable Real-Time Bird Song Scene Analysis System},
  author={Ryosuke Kojima and Osamu Sugiyama and Kotaro Hoshiba and Reiji Suzuki and Kazuhiro Nakadai},
  howpublished={Intelligent Robots and Systems (IROS), 2018 IEEE/RSJ International Conference on},
  year={2018},
  month={Oct.},
  place={Madrid},
  organization={IEEE},
}
@inproceedings{kojima2017dsaa,
  title={A Spatial-Cue-Based Probabilistic Model for Bird Song Scene Analysis},
  author={Ryosuke Kojima and Osamu Sugiyama and Kotaro Hoshiba and Reiji Suzuki and Kazuhiro Nakadai},
  howpublished={International Conference on Data Science and Advanced Analytics (DSAA)},
  year={2017},
  month={Oct.},
  place={Tokyo},
  organization={IEEE},
}

@inproceedings{kojima2016iros,
  title={Semi-Automatic Bird Song Analysis by Spatial-Cue-Based Integration of Sound Source Detection, Localization, Separation, and Identification},
  author={Kojima, Ryosuke and Sugiyama, Osamu and Suzuki, Reiji and Nakadai, Kazuhiro and Taylor, Charles E.},
  howpublished={Intelligent Robots and Systems (IROS), 2016 IEEE/RSJ International Conference on},
  year={2016},
  month={Oct.},
  place={Daejeon},
  organization={IEEE},
  url="http://ieeexplore.ieee.org/document/7759213/"
}

@inproceedings{kojima2015audio,
  title={Audio-visual scene understanding utilizing text information for a cooking support robot},
  author={Kojima, Ryosuke and Sugiyama, Osamu and Nakadai, Kazuhiro},
  howpublished={Intelligent Robots and Systems (IROS), 2015 IEEE/RSJ International Conference on},
  pages={4210--4215},
  year={2015},
  organization={IEEE},
  month={Sep.},
  place={Hamburg},
  url="http://honda-ri.jp/publications/1160"
}

@inproceedings{Kojima_2015_1166,
  title = {Scene understanding based on sound and text information for a cooking support robot},
  author = {Kojima, Ryosuke and Sugiyama, Osamu and Nakadai, Kazuhiro},
  year = {2015},
  month = {Jun.},
  howpublished = {Current Approaches in Applied Artificial Intelligence: 28th International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2015, Seoul, South Korea},
  pages = {665-674},
  publisher = {Springer International Publishing},
  url = {http://rd.springer.com/chapter/10.1007/978-3-319-19066-2_64},
}

@article{kojimagoal,
  title={Goal recognition from incomplete action sequences by probabilistic grammars},
  author={Kojima, Ryosuke and Sato, Taisuke},
  howpublished={the 24th International Conference on Inductive Logic Programming(short paper)},
  year={2014},
  place={Nancy},
  url="https://dtai.cs.kuleuven.be/events/ilp2014/p36.php",
}

@misc{kojimaprefix,
  title={Prefix and infix probability computation in PRISM},
  author={Kojima, Ryosuke and Sato, Taisuke},
  howpublished={Probabilistic Logic Programming 2014, An ICLP workshop},
  year={2014},
  place={Vienna},
  url = "http://stoics.org.uk/plp/plp2014/papers/",
  slide = "http://stoics.org.uk/plp/slides/Kojima.pdf",
}

@misc{kojimagoal,
  title={Multimodal scene understanding using CNN and hierarchical HMM for a cooking support robot},
  author = {Kojima, Ryosuke and Sugiyama, Osamu and Nakadai, Kazuhiro},
  howpublished={Machine Learning Summer School},
  year={2015},
  place={Kyoto}
}

@misc{Kojima14med,
  title={Analysis of Medical Records by Generative Models},
  author={Kojima, R. and Sato, T.},
  howpublished={Workshop on MDP/POMDP Applications to Medical Data},
  year={2014},
  place={Tokyo},
  url = "\url{https://staff.aist.go.jp/h.asoh/medical-data/workshop.html}",
}

講演会

「確率論理プログラミング言語PRISMとその深層化T-PRISMの紹介」
人工知能学会人工知能基本問題研究会 SIG-FPAI2020(2020年1月30日)
「深層学習と確率プログラミングを融合したEdwardについて」
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(2017年10月18日)
Slide: https://www.slideshare.net/ryosuke-kojima/edward-80980204
「医療・創薬応用における解釈容易なモデル開発の取り組みの紹介」
第27回バイオメディカル研究会（関西地域部会）「ライフサイエンスで求められる説明可能なAI」(2019年10月18日)
「多様な医療データ活用のための機械学習技術」
KMI第61回例会・日本医療情報学会関西支部第1回講演会（合同開催）(2020年5月9日)
「グラフニュートラルネットワークを用いた創薬・医療のためのAI基盤」
日本オミックス医学会シンポジウム「AI創薬の最新の展開」(2022年9月6日)
「深層状態空間モデルの変分推論を用いた医療データ解析」
2022年度統計関連学会連合大会 (2022年9月5日)
「グラフニューラルネットワークを用いた医療関連データ処理」
情報計算化学生物 (CBI)学会 2021年大会医療データAI解析実践フォーラム（2021年10月26日）
「多様な医療関連データへのグラフニューラルネットワークの応用」
情報計算化学生物 (CBI)学会 2022年大会医療データAI解析実践フォーラム（2022年10月25日）
「有機化学のための深層学習ベースのAI基盤と基盤モデル」
第6回近化若手フォーラム（2023年 8月31日）
「グラフ深層学習を用いた有機合成のためのAI基盤」
「AIと有機合成化学」第11回勉強会（2023年 6月21日）

そのほかの国際会議・国際ワークショップ

@inproceedings{koyama2023ismb,
  author={Koyama, Takuto and Matsumoto, Shigeyuki and Iwata, Hiroaki and Kojima, Ryosuke and Okuno, Yasushi}, 
  booktitle={ISMB/ECCB MLCSB},
  title={Iterative Data Augmentation of near boundary negative samples improves the model generalizability in Compound-Protein Interaction Prediction}, 
  year={2023}, 
  url={https://www.iscb.org/ismbeccb2023-programme/posters},
  month={Jul. 24},
  place={Lyon, France},
}

@inproceedings{hatano2023ismb,
  author={Hatano, Narumi and Kamada, Mayumi and Kojima, Ryosuke and Okuno, Yasushi}, 
  booktitle={ISMB/ECCB VarI},
  title={Network-Based Prediction Method for Cancer Driver Missense Mutations}, 
  year={2023}, 
  url={https://www.biorxiv.org/content/10.1101/2023.07.05.547896v1},
  month={Jul. 26},
  place={Lyon, France},
}
	
@inproceedings{nakamura2023ismb, 
  author={Nakamura, Aya and Kojima, Ryosuke and Okamoto, Yuji and Mineharu, Yohei and Harada, Yohei and Kamada, Mayumi and Yasushi Okuno}, 
  booktitle={ISMB/ECCB BioVis}, 
  title={Latent State Estimation of Cancer Patients Treated with Nivolumab Using Deep State Space Model}, 
  year={2023}, 
  url={https://arxiv.org/abs/2307.11487},
  month={Jul. 25},
  place={Lyon, France},
}

@inproceedings{itoyama2021assessment,
  title={Assessment of von Mises-Bernoulli Deep Neural Network in Sound Source Localization.},
  author={Itoyama, Katsutoshi and Morimoto, Yoshiya and Masaki, Shungo and Kojima, Ryosuke and Nishida, Kenji and Nakadai, Kazuhiro},
  booktitle={Interspeech},
  pages={2152--2156},
  year={2021}
}

@inproceedings{shinzato2021sii, 
  author={Shinzato, Kenta and Kojima, Ryosuke}, 
  booktitle={2021 IEEE/SICE International Symposium on System Integration (SII)}, 
  title={An Unsupervised Auditory Scene Analysis System Using Incremental Low-Dimensional Embedding}, 
  year={2021}, 
  month={Jan. 13},
  place={online},
  url={https://ieeexplore.ieee.org/document/9382632},
}

@inproceedings{kamada2019med2rdf,
  title={Med2RDF: Semantic Biomedical Knowledge-base and APIs for the Clinical Genome Medicine.},
  author={Kamada, Mayumi and Katayama, Toshiaki and Kawashima, Shuichi and Kojima, Ryosuke and Nakatsui, Masahiko and Okuno, Yasushi},
  booktitle={SWAT4HCLS},
  pages={161--162},
  year={2019}
}

@misc{sato2019asn,
  title={Prediction of AKI in ICU using routinely collected data by machine-learning algorithms and its visualization. },
  author = {Noriaki Sato and Eiichiro Uchino and Ryosuke Kojima and Shusuke Hiragi and Motoko Yanagita and Yasushi Okuno},
  howpublished={ASN Kidney Week 2019},
  year={2019},
  month={Nov.},
  place={Washington},
}

@inproceedings{sato2019ijcaiws,
  title={Logical inference as cost minimization in vector spaces},
  author = {Taisuke Sato and Ryosuke Kojima},
  howpublished={IJCAI 2019 Workshop on Declarative Learning Based Programming},
  url={https://delbp.github.io/},
  year={2019},
  month={Aug.},
  place={Macau},
}

@inproceedings{nagasaka2019,
  author    = {Yusuke Nagasaka and Akira Nukada and Ryosuke Kojima and Satoshi Matsuoka},
  title     = {Batched Sparse Matrix Multiplication for Accelerating Graph Convolutional Networks},
  booktitle   = {The 19th Annual IEEE/ACM International Symposium in Cluster, Cloud, and Grid Computing (CCGrid 2019)},
  place={Larnaca, Cyprus},
  year      = {2019},
  url       = "http://arxiv.org/abs/1903.11409",
}

@misc{kojima2019gcn,
  title = {A Prediction Framework for Drug Discovery Using Graph Convolutional Networks},
  author = {Ryosuke Kojima and Hiroaki Iwata and Shoichi Ishida and Marie Ikeguchi and Yasushi Okuno},
  howpublished={5th International Symposium for Medicinal Sciences (ISMS) (poster)},
  year = {2019},
  month = {Mar.},
  place={Chiba},
  url="http://nenkai.pharm.or.jp/139/pc/ssympo.asp?i=2248",
}

@inproceedings{daniel2019sii, 
  author={Gabriel, Daniel and Kojima, Ryosuke and Hoshiba, Kotaro and Itoyama, Katsutoshi and Nishida, Kenji and Nakadai, Kazuhiro}, 
  booktitle={2019 IEEE/SICE International Symposium on System Integration (SII)}, 
  title={Design and assessment of multiple-sound source localization using microphone arrays}, 
  year={2019}, 
  pages={199-204}, 
  doi={10.1109/SII.2019.8700368}, 
  ISSN={2474-2325}, 
  month={Jan.},
  place={Paris, France}
}

@inproceedings{kamada2017swat,
  title={Construction of Knowledge-base for Clinical Interpretation of Genomic Variants},
  author={Mayumi Kamada and Toshiaki Katayama and Shuichi Kawashima and Ryosuke Kojima and Masahiko Nakatsui and Yasushi Okuno},
  booktitle={Semantic Web Applications and Tools for the Life Sciences (SWAT4LS)},
  url="http://www.swat4ls.org/wp-content/uploads/2017/12/paper_43.pdf",
  year={2017},
}

@inproceedings{nakadai2017iros, 
author={K. Nakadai and M. Kumon and H. G. Okuno and K. Hoshiba and M. Wakabayashi and K. Washizaki and T. Ishiki and D. Gabriel and Y. Bando and T. Morito and R. Kojima and O. Sugiyama}, 
booktitle={2017 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)}, 
title={Development of microphone-array-embedded UAV for search and rescue task}, 
year={2017}, 
pages={5985-5990}, 
doi={10.1109/IROS.2017.8206494}, 
month={Sept},
}

@inproceedings{morito2016iros,
  title={Partially Shared Deep Neural Network in Sound Source Separation and Identification Using a UAV-Embedded Microphone Array},
  author={Morito, Takayuki and Sugiyama, Osamu and Kojima, Ryosuke and Nakadai, Kazuhiro},
  booktitle={Intelligent Robots and Systems (IROS), 2016 IEEE/RSJ International Conference on},
  year={2016},
  organization={IEEE}
}

@inproceedings{morito16ieaaie,
  author    = {Morito, Takayuki and
               Sugiyama, Osamu  and
               Uemura, Satoshi and
               Kojima, Ryosuke and
               Nakadai, Kazuhiro},
  title     = {Reduction of Computational Cost Using Two-Stage Deep Neural Network
               for Training for Denoising and Sound Source Identification},
  booktitle = {Trends in Applied Knowledge-Based Systems and Data Science - 29th
               International Conference on Industrial Engineering and Other Applications
               of Applied Intelligent Systems, {IEA/AIE} 2016, Morioka, Japan, August
               2-4, 2016, Proceedings},
  pages     = {562--573},
  year      = {2016},
  url       = {http://dx.doi.org/10.1007/978-3-319-42007-3_49},
  doi       = {10.1007/978-3-319-42007-3_49},
}

@inproceedings{Uemura_2015_1172,
  title = {Outdoor Acoustic Event Identification using Sound Source Separation and Deep Learning with a Quadrotor-Embedded Microphone Array},
  author = {Uemura, Satoshi and Sugiyama, Osamu and Kojima, Ryosuke and Nakadai, Kazuhiro},
  year = {2015},
  month = {Dec.},
  booktitle = {The 6th International Conference on Advanced Mechatronics (ICAM2015)},
  pages = {329-330},
  abstract = {We present acoustic event identification by integration of sound source separation and deep learning based on a convolutional neural network for extremely noisy acoustics signals captured with a 16 ch microphone array embedded in an Unmanned Aerial Vehicle (UAV). We showed that the proposed method can identify over 98\% sound sources correctly for a 10 class classification task using 16 ch recorded sound data with a microphone array embedded in a quadrotor.},
  publisher = {The Japan Society of Mechanical Engineers},
  url="http://honda-ri.jp/publications/1172"
}

@inproceedings{sugiyama2015interactive,
  title={Interactive interface to optimize sound source localization based on microphone array with coarse-to-fine tuning for humanoids},
  author={Sugiyama, Osamu and Kojima, Ryosuke and Nakadai, Kazuhiro},
  booktitle={Humanoid Robots (Humanoids), 2015 IEEE-RAS 15th International Conference on},
  pages={825--830},
  year={2015},
  organization={IEEE}
}

@inproceedings{Sugiyama_2015_1167,
  title = {Interactive Interface to Optimize Sound Source Localization with HARK},
  author = {Sugiyama, Osamu and Kojima, Ryosuke and Nakadai, Kazuhiro},
  year = {2015},
  month = {Jun.},
  booktitle = {Current Approaches in Applied Artificial Intelligence: 28th International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2015, Seoul, South Korea},
  pages = {262-271},
  abstract = {In this study, we designed and developed an interactive inter-face to optimize sound source localization with the multi-channel robot audition software, HARK. With the developed interface, the system can lighten the loads of optimizing parameters and supports users easily to handle the parameter optimization in sound source localization. In order to properly handle the multi-channel sounds, it is better dynamically to indicate the parameter from both temporal and spatial perspectives, though almost all of the software can only indicate a static threshold. We developed an interactive interface, with which the user can create or delete the sound source on the MUSIC spectrum and can set up an ap-propriate parameter settings for the environment. We also conducted an evaluation of the software and revealed that our proposed interface was superior than that of the current HARK interface from the view points of intuitiveness and visibility.},
  publisher = {Springer International Publishing},
  url ="http://rd.springer.com/chapter/10.1007/978-3-319-19066-2_26",
}

国内学会・国内ワークショップ・研究会等

@misc{kojima2020nlp,
  title = {医薬品添付文書からの薬剤情報抽出システム},
  author = {小島 諒介 and 岩田 浩明 and 中津井 雅彦 and 奥野 恭史},
  howpublished={言語処理学会第26回年次大会},
  year = {2020},
  month = {Mar.},
  place={online},
}
	  
@misc{kojima2019time,
  title = {A time series analysis framework for deep state-space modeling},
  author = {Ryosuke Kojima},
  howpublished={第2回ExCELLSシンポジウム},
  year = {2019},
  month = {Nov.},
  place={愛知},
}

@misc{kojima2018pred,
  title = {A Prediction Framework for Drug Discovery Using Graph Convolutional Networks},
  author = {Ryosuke Kojima},
  howpublished={日本薬学会第139年会 第5回国際創薬シンポジウム},
  year = {2019},
  month = {Mar.},
  place={千葉},
}

@misc{kojima2017bird,
  title = {機械学習に基づく鳥類の鳴き声の自動分類},
  author = {小島 諒介},
  howpublished={鳥学会自由集会},
  year = {2017},
  month = {Sep.},
  place={筑波},
}

@misc{kojima2016kiban_s,
  title = {マイクロフォンアレイを利用した確率的環境理解フレームワーク},
  author = {小島 諒介},
  howpublished={基盤研究（S）「ロボット聴覚の実環境理解に向けた多面的展開」最終シンポジウム},
  year = {2016},
  month = {Dec.},
  place={東京},
  url="http://www.leading-sn.waseda.ac.jp/info/news/RobotAuditionFinalSymp-2016/"
}

@inproceedings{kojima2016sig_challenge,
  title = {空間情報を用いた鳥の歌分析},
  author = {小島 諒介 and 杉山 治 and 干場 功太郎 and 鈴木 麗璽 and 中臺 一博},
  year = {2016},
  month = {Nov.},
  booktitle = {人工知能学会 第46回 AI-Challenge 研究会},
  pages = {25-31},
  publisher = {人工知能学会},
  url="http://www.osaka-kyoiku.ac.jp/~challeng/SIG-Challenge-046/index.html"
}

@inproceedings{Kojima2016,
title = {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},
author = {小島 諒介 and 杉山 治 and 鈴木 麗璽 and 中臺 一博},
yomi = {こじま りょうすけ and すぎやま おさむ and すずき れいじ and なかだい かずひろ},
year = {2016},
booktitle = {RSJ2016},
publisher = {日本ロボット学会}
}

@inproceedings{Kojima_2015_1149,
  title = {音源アノテーション補助のための音源位置を考慮した同定モデル},
  author = {小島 諒介 and 杉山 治 and 鈴木 麗璽 and 中臺 一博},
  yomi = {こじま りょうすけ and すぎやま おさむ and すずき れいじ and なかだい かずひろ},
  year = {2015},
  month = {Sep.},
  booktitle = {第33回日本ロボット学会学術講演会 (RSJ2015)},
  publisher = {日本ロボット学会},
  url="http://honda-ri.jp/publications/1149"
}

@inproceedings{Kojima_2014_1108,
  title = {調理認識を対象としたレシピの確率モデルとその学習},
  author = {小島 諒介 and 杉山 治 and 中臺 一博},
  yomi = {こじま りょうすけ and すぎやま おさむ and なかだい かずひろ},
  year = {2014},
  month = {Dec.},
  booktitle = {第15回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},
  pages = {1214-1219},
  publisher = {計測自動制御学会},
  url="http://honda-ri.jp/publications/1108"
}

@inproceedings{Kojima_2014_1092,
  title = {調理支援のための音情報を用いた料理レシピの推定},
  author = {小島 諒介 and 杉山 治 and 中臺 一博},
  yomi = {こじま りょうすけ and すぎやま おさむ and なかだい かずひろ},
  year = {2014},
  month = {Sep.},
  booktitle = {第32回日本ロボット学会学術講演会（RSJ2014）},
  publisher = {日本ロボット学会},
  url="http://honda-ri.jp/publications/1092"
}

@misc{Kojima13pre,
  title={Prefix確率を用いたプラン認識のWebアクセスログ解析への応用},
  author={小島諒介 and 佐藤泰介},
  howpublished={第3回CSPSAT2研究会(2013)},
  year={2013},
  place={札幌},
  url = "http://www.edu.kobe-u.ac.jp/istc-tamlab/cspsat/mtg203/",
}

@article{Kojima13naive,
  title={Naive Bayes モデルを用いた効率的なクラスタラベリング手法 (特集 「Big data と機械学習・データサイエンス」 および一般)},
  author={小島諒介 and 亀谷由隆 and 佐藤泰介},
  journal={人工知能基本問題研究会},
  volume={88},
  pages={19--24},
  year={2013},
  publisher={人工知能学会},
  draft = "http://rjida.meijo-u.ac.jp/sato-www/reference/Kojima-fpai88.pdf"
}

@article{KojimaVH,
  title={VisualHaptics 2.0: 感触の解像度向上とタッチパネルへの応用},
  author={小島 諒介 and 渡邊 恵太 and 稲見 昌彦 and 五十嵐 健夫},
  journal={インタラクション},
  pages={257--260},
  year={2013}
}

そのほかの国内学会・国内ワークショップ・研究会等

@misc{tosaki2023dkf,
  title = {多拠点健診データ間における棄却オプションによる疾患発症予測機械学習モデルの性能向上},
  author = {戸﨑 泰誠 and 内野 詠一郎 and 小島 諒介 and 峰晴 陽平 and 有田 幹雄 and 宮井 信行 and 玉田 嘉紀 and 三上 達也 and 村下 公一 and 中路 重之 and 奥野 恭史},
  howpublished={第27回日本医療情報学会春季学術大会シンポジウム2023},
  year = {2023},
  month = {Jul. 1},
  place={沖縄},
  award={学生奨励賞},
}

@misc{ikegami2023dkf,
  title = {弘前健診データを用いた疾患発症に至る状態推移の動的ベイジアンネットワーク解析},
  author = {池上 莉理子 and 内野 詠一郎 and 小島 諒介 and 玉田 嘉紀 and 三上 達也 and 村下 公一 and 中路 重之 and 奥野 恭史},
  howpublished={第5回日本メディカルAI学会学術集会},
  year = {2023},
  month = {Jun. 17},
  place={東京},
  award={学生奨励賞},
}

@misc{kato2023policy,
  title = {交通流制御のための方策勾配法における確率的方策の評価},
  author = {加藤 雅大 and 小島 諒介},
  howpublished={人工知能学会 第124回人工知能基本問題研究会（SIG-FPAI）},
  year = {2023},
  month = {Mar. 17},
  place={京都},
}

@misc{inoue2022cancer,
  title = {Cancer survival prediction using a new deep neural network framework combining expression profile and knowledge graph},
  author = {Inoue, Kazuma and Kojima, Ryosuke and Kamada, Mayumi and Okuno, Yasushi},
  howpublished={日本バイオインフォマティクス学会年会(IIBMP)},
  year = {2022},
  month = {Sep.},
  place={大阪},
}

@misc{hatano2022prediction,
  title = {Prediction of driver missense mutation using graph neural network},
  author = {Hatano, Narumi and Kamada, Mayumi and Kojima, Ryosuke and Okuno, Yasushi},
  howpublished={日本バイオインフォマティクス学会年会(IIBMP)},
  year = {2022},
  month = {Sep.},
  place={大阪},
  award={最優秀口頭発表賞},
}

@misc{nakamura2022dkf,
  title = {時系列モデルを用いたニボルマブ投与がん患者の潜在状態推定},
  author = {中村 綾 and 小島 諒介 and 岡本 有司 and 鎌田 真由美 and 奥野 恭史},
  howpublished={第4回日本メディカルAI学会学術集会},
  year = {2022},
  month = {Jun. 10},
  place={仙台},
  award={学生奨励賞},
}

@inproceedings{ueno2022rsj,
title = {野鳥の歌を対象とした複数マイクロフォンアレイを用いたリアルタイム音環境分析デバイスの開発},
author = {上野 裕太 and 小島 諒介},
yomi = {うえの ゆうた and こじま りょうすけ},
year = {2022},
booktitle = {RSJ2022},
month = {Sep. 8},
place={東京},
publisher = {日本ロボット学会}
}

@inproceedings{watanabe2022gnn,
  title={GNN-MatSat: グラフニューラルネットワークによる初期化に基づく微分可能な SAT ソルバー},
  author={渡邉晃司 and 佐藤泰介 and 小島諒介 and 小高充弘 and 井上克巳},
  booktitle={人工知能学会全国大会論文集 第 36 回 (2022)},
  pages={4F3OS8b03--4F3OS8b03},
  year={2022},
  organization={一般社団法人 人工知能学会}
}

@misc{iwata2022gcn,
  title = {Graph Convolutional Neural Networkを用いたAIモデルでの口腔内崩壊時間の予測},
  author = {岩田 浩明 and 長谷川 亜樹 and 小島 諒介 and 奥野 恭史},
  howpublished={日本薬剤学会第37年会},
  year = {2022},
  month = {May},
  place={online},
}
	
@misc{sasaki2022quantum,
  title = {交通流モデルのための一方向多粒子量子ウォークの検討},
  author = {沙々木　祐斉 and 小島 諒介 and 辻本　諭},
  howpublished={情報処理学会第84回全国大会（IPSJ2022）},
  year = {2022},
  month = {Mar.},
  place={online},
  award={学生奨励賞},
}

@misc{habara2022people,
  title = {歩行者流を考慮した人流密度推定ニューラルネットワークの検討},
  author = {羽原丈博 and 小島 諒介},
  howpublished={情報処理学会第84回全国大会（IPSJ2022）},
  year = {2022},
  month = {Mar.},
  place={online},
}

@misc{shinzato2021ai,
  title = {オンライン音環境認識のための低次元埋め込み手法の高速化},
  author = {新里 顕大 and 小島 諒介},
  howpublished={第57回人工知能学会 AI チャレンジ研究会},
  year = {2020},
  month = {Nov.},
  place={online},
}

@misc{inoue2021gcn,
  title = {Interpretable Deep Learning Using Multimodal Graph Convolutional Network for Predicting Compound-Protein Interactions},
  author = {Inoue, Sota and Tanaka, Yoshihisa and Ishida, Shoichi and Kojima, Ryosuke and Iwata, Hiroaki and Okuno, Yasushi},
  howpublished={Chem-Bio Informatics Society(CBI) Annual Meeting},
  year = {2021},
  month = {Oct.},
  place={online},
}

@misc{inoue2021mgcn,
  title = {Multimodal Graph Convolutional Networkを用いた 化合物-タンパク質間相互作用予測における相互作用メカニズムの推定},
  author = {井上 聡太 and 田中 良尚 and 石田 祥一 and 小島 諒介 and 岩田 浩明 and 奥野 恭史},
  howpublished={第61回生命科学夏の学校},
  year = {2021},
  month = {Aug.},
  place={online},
}
	
@inproceedings{kamada2021mgend, 
  author={Kamada, Mayumi and Ashine, Rei and Nakatsui, Masahiko and Kojima, Ryosuke and Okuno, Yasushi}, 
  booktitle={The 66th Annual Meeting of the Japan Society of Human Genetics (JSHG)}, 
  title={MGeND update: Efforts to improve usability and continuous operation}, 
  year={2021}, 
  month={Oct.},
  place={Yokohama},
}

@inproceedings{izumi2021secure, 
  author={Izumi, Akira and Kamada, Mayumi and Kojima, Ryosuke and Okuno, Yasushi}, 
  booktitle={The 66th Annual Meeting of the Japan Society of Human Genetics (JSHG)}, 
  title={Research on Secure computation techniques for integrated and secure analysis of genomic and Real World Data}, 
  year={2021}, 
  month={Oct.},
  place={Yokohama},
}

@misc{nakatsui2020nlp,
  title = {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},
  author = {中津井 雅彦 and 小島 諒介 and 岩田 浩明 and 奥野 恭史},
  howpublished={言語処理学会第26回年次大会},
  year = {2020},
  month = {Mar.},
  place={online},
}

@misc{okamoto2020eye2,
  title = {視線データ解析と動画像解析の比較による重症心身障害児の特徴づけ},
  author = {岡本 麻里 and 小島 諒介 and 鈴木 真知子 and 奥野 恭史},
  howpublished={医用人工知能学会AIMED},
  year = {2020},
  month = {Jan.},
  place={東京},
}

@misc{okamoto2019eye1,
  title = {アイトラッカーと動画像処理を用いた重症心身障害児の視線特徴の探索},
  author = {岡本 麻里 and 小島 諒介 and 鈴木 真知子 and 奥野 恭史},
  howpublished={メディカルAI学会},
  year = {2019},
  month = {Nov.},
  place={東京},
}

@inproceedings{sugiyama2016sig_challenge,
  title = {日本人疾患ゲノム情報統合データベースMGeNDとキュレーション支援システムの開発},
  author = {鎌田 真由美 and 中津井 雅彦 and 小島 諒介 and 奥野恭史},
  month = {Nov.},
  year = {2019},
  url="https://biosciencedbc.jp/event/symposium/togo2019/poster/",
}

@inproceedings{nagasaka2018,
  title = {小疎行列積計算のGPU最適化},
  author = {長坂侑亮 and 額田彰 and 小島諒介 and 松岡聡},
  howpublished={情報処理学会研究報告 HPC-168},
  year = {2019},
  month = {Mar.},
  place={加賀},
}

@inproceedings{nagasaka2018,
  title = {GraphCNN向けの疎行列積計算Batch最適化},
  author = {長坂侑亮 and 額田彰 and 小島諒介 and 松岡聡},
  howpublished={情報処理学会研究報告 HPC-167},
  year = {2018},
  month = {Dec.},
  place={那覇},
}

@inproceedings{taniguchi2017,
  title = {Iterative Outlier Removal Method Using In-Cluster Variance Changes in Multi-Microphone Array Sound Source Localization.},
  author = {Daniel Gabriel, 小島諒介, 干場功太郎, 中臺 一博},
  howpublished={情報処理学会第79回全国大会（IPSJ2017）},
  year = {2017},
  month = {Mar.},
  place={名古屋},
}
@inproceedings{taniguchi2017,
  title = {LSTMによる音楽音響信号の修復法の提案-周波数フィルタ導入による学習データ量削減の検討},
  author = {谷口亮輔 and 小島諒介 and 干場功太郎 and 中臺 一博},
  howpublished={情報処理学会第79回全国大会（IPSJ2017）},
  year = {2017},
  month = {Mar.},
  place={名古屋},
}

@misc{nakadai2016si,
  title = {HARK 2.3 の紹介とタフロボティクスチャレンジへの展開},
  author = {中臺 一博 and 坂東 宜昭 and 水本 武志 and 干場 功太郎 and 小島 諒介 and 糸山 克寿 and 杉山 治 and 公文 誠 and 奥乃 博},
  howpublished={第17回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 (SI2016)},
  year = {2016},
  month = {Dec.},
  place={札幌},
}

@inproceedings{hoshiba2016rsj,
title = {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},
author = {干場 功太郎 and 小島 諒介 and 杉山 治 and 中臺 一博},
yomi = {ほしば こうたろう and こじま りょうすけ and すぎやま おさむ and なかだい かずひろ},
year = {2016},
booktitle = {RSJ2016},
publisher = {日本ロボット学会}
}

@inproceedings{sugiyama2016sig_challenge,
  title = {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},
  author = {杉山 治 and 小島 諒介 and 中臺 一博},
  year = {2016},
  month = {Nov.},
  booktitle = {人工知能学会 第46回 AI-Challenge 研究会},
  pages = {32-36},
  publisher = {人工知能学会},
  url="http://www.osaka-kyoiku.ac.jp/~challeng/SIG-Challenge-046/index.html"
}

@inproceedings{sugiyama2016robomech,
  title = {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・識別システム},
  author = {杉山 治 and 上村 知史 and 小島 諒介 and 中臺 一博},
  yomi = {すぎやま おさむ and うえむら さとし and こじま りょうすけ and なかだい かずひろ},
  year = {2016},
  month = {June},
  booktitle = {ロボティクス・メカトロニクス講演会 ROBOMECH2016},
  publisher = {日本機械学会}
}

@inproceedings{Sugiyama_2015_1211,
  title = {Coarse-to-Fine チューニングを用いたHARK の音源定位パラメータの最適化},
  author = {杉山 治 and 小島 諒介 and 中臺 一博},
  yomi = {すぎやま おさむ and こじま りょうすけ and なかだい かずひろ},
  year = {2015},
  month = {Nov.},
  booktitle = {人工知能学会 第43回 AI-Challenge 研究会},
  pages = {17-22},
  abstract = {本稿ではオープンソースロボット聴覚ソフトウェアHARK (Honda Research Institute Japan Audition for Robots with Kyoto University) の音源定位におけるパラメータ最適化のためのインタフェースを提案する. HARK でパラメータ調整用のインタフェースは存在するものの，HARKに熟練していてもそのパラメータの最適化には時間を要する．本稿で提案するインタフェースは，HARK のパラメータ最適化における課題を，可視化，操作，最適化における課題に分類し，それぞれを解決する機能を設計・実装した．そして，ユーザ評価において，可視化性・設定の柔軟さの点で，従来のインタフェースを上回るという結果を得た．},
  publisher = {人工知能学会},
  url="http://honda-ri.jp/publications/1211"
}

@inproceedings{Sugiyama_2015_1148,
  title = {Coarse-to-fine チューニングに基づく HARK を用いた 音源定位パラメータ最適化インタフェースの提案},
  author = {杉山 治 and 小島 諒介 and 中臺 一博},
  yomi = {すぎやま おさむ and こじま りょうすけ and なかだい かずひろ},
  year = {2015},
  month = {Sep.},
  booktitle = {第33回日本ロボット学会学術講演会 (RSJ2015)},
  publisher = {日本ロボット学会},
  url="http://honda-ri.jp/publications/1148"
}

@inproceedings{Sugiyama_2014_1109,
  title = {ユーザとの対話に基づきブログを自動生成するブログロボットの提案},
  author = {杉山 治 and 小島 諒介 and 中臺 一博},
  yomi = {すぎやま おさむ and こじま りょうすけ and なかだい かずひろ},
  year = {2014},
  month = {Dec.},
  booktitle = {第15回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},
  pages = {1400-1403},
  abstract = {This paper describes the development of the blog robot, which generates the sentence describing contents of the
  interaction with its users. The unique point of this study is that the developed system not only utters the response toward the
  users, but also provides users the sentence describing its understanding of the interaction. We also conducted an impression
  evaluation, and verified that the developed prototype system of the blog robot exceeded the impression of one of chatter
  robot implementations.},
  publisher = {計測自動制御学会},
  url="http://honda-ri.jp/publications/1107"
}

@inproceedings{Sugiyama_2014_1091,
  title = {音環境理解ロボットを対象とした環境音識別器のための協調型インタフェースの提案},
  author = {杉山 治 and 小島 諒介 and 中臺 一博},
  yomi = {すぎやま おさむ and こじま りょうすけ and なかだい かずひろ},
  year = {2014},
  month = {Sep.},
  booktitle = {第32回日本ロボット学会学術講演会（RSJ2014）},
  publisher = {日本ロボット学会},
  url="http://honda-ri.jp/publications/1091"
}

@inproceedings{Matsubayashi_2015_1219,
  title = {複数のマイクロフォンアレイで測る野鳥の位置},
  author = {松林 志保 and 小島 諒介 and 中臺 一博 and 鈴木 麗璽},
  yomi = {まつばやし しほ and こじま りょうすけ and なかだい かずひろ and すずき れいじ},
  year = {2015},
  month = {Nov.},
  booktitle = {第10回バードリサーチ大会},
  abstract = {複数のマイクで構成されるデバイスであるマイクロホンアレイを用いて音源の方向や位置を定位したり、定位した音源を分離する技術が急速に発展している。この技術の野鳥研究への応用は、従来の単一のマイクによる録音と比べてより豊富な生態情報の記録を可能にするため、生態理解へ大きな貢献を果たすことが期待される。本稿では複数のマイクロホンアレイから得られる音源の方角を総合することで、音源を定位できる可能性を示した。},
  publisher = {認定NPO法人 バードリサーチ},
  address = {名古屋大学},
  url="http://honda-ri.jp/publications/1219"
}

@inproceedings{Matsubayashi_2015_1218,
  title = {複数のマイクロフォンアレイとロボット聴覚ソフトウェアHARK を用いた野鳥の位置観測精度の検討},
  author = {松林 志保 and 鈴木 麗璽 and 小島 諒介 and 中臺 一博},
  yomi = {まつばやし しほ and すずき れいじ and こじま りょうすけ and なかだい かずひろ},
  year = {2015},
  month = {Nov.},
  booktitle = {人工知能学会 第43回 AI-Challenge 研究会},
  pages = {54-59},
  abstract = {本研究は、３つのマイクロフォンアレイとロボット聴覚ソフトウェアHARK を用いた野鳥の観測精度に関する予備的調査の結果を報告する。1 つ目の調査では、愛知県豊田市の森林内でスピーカーからの鳥の歌の再生音を用いてHARK による定位精度の検討を行った。2 つ目の調査では、人間による野鳥の観測結果とHARK により定位された野鳥の位置を比較し、その定位精度を調べた。},
  publisher = {人工知能学会},
  url="http://honda-ri.jp/publications/1218"
}

@inproceedings{Matsubayashi_2015_1215,
  title = {複数のマイクロホンアレイによる野鳥の位置観測精度の検討},
  author = {松林 志保 and 小島 諒介 and 中臺 一博 and 鈴木 麗璽},
  yomi = {まつばやし しほ and こじま りょうすけ and なかだい かずひろ and すずき れいじ},
  year = {2015},
  month = {Sep.},
  booktitle = {日本鳥学会2015年度大会},
  address = {兵庫県立大学神戸商科キャンパス},
  url="http://honda-ri.jp/publications/1215"
}

@inproceedings{morito2016sig_challenge,
  title = {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},
  author = {森戸 隆之 and 杉山 治 and 小島 諒介 and 中臺 一博},
  year = {2016},
  month = {Nov.},
  booktitle = {人工知能学会 第46回 AI-Challenge 研究会},
  pages = {12-17},
  publisher = {人工知能学会},
  url="http://www.osaka-kyoiku.ac.jp/~challeng/SIG-Challenge-046/index.html"
}

@inproceedings{morito2016robomech,
  title = {部分共有型Deep Neural Network を用いた音源同定},
  author = {森戸 隆之 and 杉山 治 and 小島 諒介 and 中臺 一博},
  yomi = {もりと たかゆき and すぎやま おさむ and こじま りょうすけ and なかだい かずひろ},
  year = {2016},
  month = {June},
  booktitle = {ロボティクス・メカトロニクス講演会 ROBOMECH2016},
  publisher = {日本機械学会}
}

@inproceedings{Morito_2015_1170,
  title = {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},
  author = {森戸 隆之 and 杉山 治 and 上村 知史 and 小島 諒介 and 中臺 一博},
  yomi = {もりと たかゆき and すぎやま おさむ and うえむら さとし and こじま りょうすけ and なかだい かずひろ},
  year = {2015},
  month = {Dec.},
  booktitle = {第16回 公益社団法人 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 SI2015},
  pages = {1263-1266},
  abstract = {This paper addresses deep sound source identification for sound captured with a microphone array embedded in a quadrotor. Since such sound is highly contaminated by wind and propellers{\textquoteright} noise, we propose to apply a deep learning technique directly to multi-channel audio signals for sound source identification. The proposed method showed 70\% - 75\% sound source identification rates.},
  publisher = {公益社団法人 計測自動制御学会},
  url="http://honda-ri.jp/publications/1170"
}

@inproceedings{Uemura_2015_1171,
  title = {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},
  author = {上村 知史 and 杉山 治 and 小島 諒介 and 中臺 一博},
  yomi = {うえむら さとし and すぎやま おさむ and こじま りょうすけ and なかだい かずひろ},
  year = {2015},
  month = {Dec.},
  booktitle = {第16回 公益社団法人 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 SI2015},
  pages = {2309-2313},
  abstract = {This paper assesses an outdoor auditory scene analysis system which includes sound source detection and sound source identification using a quadrotor with a microphone array. We introduced event-based metrics as well as conventional frame-based ones, and disclosed system properties which give important ques for system optimization.},
  publisher = {公益社団法人 計測自動制御学会},
  url="http://honda-ri.jp/publications/1171"
}

@inproceedings{Uemura_2015_1150,
  title = {クアドロコプタ搭載マイクロホンアレイを用いた 音源分離と深層学習による音源識別},
  author = {上村 知史 and 杉山 治 and 小島 諒介 and 中臺 一博},
  yomi = {うえむら さとし and すぎやま おさむ and こじま りょうすけ and なかだい かずひろ},
  year = {2015},
  month = {Sep.},
  booktitle = {第33回日本ロボット学会学術講演会 (RSJ2015)},
  publisher = {日本ロボット学会},
  url="http://honda-ri.jp/publications/1150"
}

@inproceedings{Uemura_2014_1107,
  title = {クアドロコプタ搭載マイクロホンアレイを用いた深層学習による音声識別},
  author = {上村 知史 and 杉山 治 and 小島 諒介 and 大畑 琢磨 and 中臺 一博},
  yomi = {うえむら さとし and すぎやま おさむ and こじま りょうすけ and おおはた たくま and なかだい かずひろ},
  year = {2014},
  month = {Dec.},
  booktitle = {第15回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},
  pages = {1016-1020},
  abstract = {This paper addresses speech detection from various sound sources which are captured with a micro-
  phone array embedded in a quadrotor. Although the use of a quadrotor is promising to find a person , it is tough
  to deal with noise produced by wind and propellers. We propose speech identification based on a deep learning
  technique. The proposed method showed 70\%-80\% speech detection rates.},
  publisher = {計測自動制御学会},
  url="http://honda-ri.jp/publications/1107"
}

@inproceedings{Nagamine_2014_1102,
  title = {屋外音環境理解における音源検出の性能評価と可視化},
  author = {長峰 諒英 and 大畑 琢磨 and 上村 知史 and 小島 諒介 and 杉山 治 and 中村 圭佑 and 中臺 一博},
  yomi = {ながみね あきひで and おおはた たくま and うえむら さとし and こじま りょうすけ and すぎやま おさむ and なかむら けいすけ and なかだい かずひろ},
  year = {2014},
  month = {Nov.},
  booktitle = {第41回人工知能学会 AI チャレンジ研究会},
  pages = {13-19},
  publisher = {人工知能学会},
  url="http://honda-ri.jp/publications/1102"
}

特集記事等

@article{kojima2021t,
  title={T-PRISM: 深層学習と論理プログラミングの融合},
  author={小島 諒介 and 佐藤泰介},
  journal={人工知能学会誌},
  volume={36},
  number={4},
  pages={437--444},
  year={2021},
  publisher={一般社団法人 人工知能学会},
  url="https://www.jstage.jst.go.jp/article/jjsai/36/4/36_437/_article/-char/ja/",
}

@article{kojima2019ai,
  title={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 },
  author={小島 諒介 and 佐藤 泰介},
  journal={人工知能学会誌},
  volume={34},
  number={5},
  year={2019},
  publisher={人工知能学会},
  url="http://www.ai-gakkai.or.jp/vol34_no5/",
}

@article{iwata2021ai,
  title={AIM in Pharmacology and Drug Discovery},
  author={Iwata, Hiroaki and Kojima, Ryosuke and Okuno, Yasushi},
  journal={Artificial Intelligence in Medicine},
  pages={1-9},
  year={2021},
  url="https://doi.org/10.1007/978-3-030-58080-3_145-1",
}
	
@article {koshimizu2020,
	title = {Future possibilities for artificial intelligence in the practical management of hypertension},
	author = {Koshimizu, Hiroshi and Kojima, Ryosuke and Okuno, Yasushi},
	doi = {10.1038/s41440-020-0498-x},
	number = {12},
	volume = {43},
	pages = {1327—1337},
	month = {December},
	year = {2020},
	journal = {Hypertension research : official journal of the Japanese Society of Hypertension},
	ISSN = {0916-9636},
	URL = {https://doi.org/10.1038/s41440-020-0498-x},
}

@article{uchino2020ai,
  title={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},
  author={内野 詠一郎 and 佐藤憲明 and 小島諒介 and 玉田嘉紀 and 柳田素子 and 奥野恭史},
  journal={日本腎臓学会誌},
  volume={62},
  number={2},
  pages={24-27},
  year={2020},
}

@article{okuno2020ai,
  title={データ主導型個別化医療と予測医療},
  author={奥野 恭史 and 小清水 宏 and 鎌田 真由美 and 玉田 嘉紀 and 小島 諒介 and 内野 詠一郎},
  journal={あいみっく},
  volume={41},
  number={1},
  year={2020},
  publisher={一般財団法人国際医学情報センター},
  url="https://www.imic.or.jp/member/files/2020/07/2f2dce947023baa243b79b0c47100290.pdf",
}

@article{iwata2019ai,
  title={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},
  author={岩田 浩明 and 小島 諒介 and 玉田 嘉紀},
  journal={月刊細胞},
  volume={51},
  number={7},
  pages={4-7},
  year={2019},
  publisher={ニューサイエンス社},
  url="http://hokuryukan-ns.co.jp/cms/books/%E6%9C%88%E5%88%8A%E3%80%8C%E7%B4%B0%E8%83%9E%E3%80%8D2019%E5%B9%B4-6%E6%9C%88%E8%87%A8%E6%99%82%E5%A2%97%E5%88%8A%E5%8F%B7/",
}

@article{ueda2020ai,
  title={医療における人工知能「AI」},
  author={植田 彰彦 and 小島 諒介 and 山口 建 and 濱西 潤三 and 万代 昌紀 and 奥野 恭史},
  journal={産婦人科の実際},
  volume={69},
  number={5},
  year={2020},
  publisher={金原出版},
  url="https://webview.isho.jp/journal/detail/abs/10.18888/sp.0000001263",
}

@article{tanaka2019ai,
  title={分子レベルにおけるAIの創薬応用},
  author={田中 良尚 and 小島 諒介 and 玉田 嘉紀 and 鎌田 真由美 and 奥野 恭史},
  journal={実験医学},
  volume={37},
  number={16},
  year={2019},
  publisher={羊土社},
  url="https://www.yodosha.co.jp/jikkenigaku/book/9784758125246/",

}
@article{sato2019ai,
  title={機械学習を用いた医療データ解析},
  author={佐藤 憲明 and 小島 諒介 and 奥野 泰史},
  journal={Medical Science Digest},
  volume={5},
  year={2019},
  publisher={ニューサイエンス社},
  url="http://hokuryukan-ns.co.jp/cms/books/medical-science-digest%E3%80%802019%E5%B9%B4%E3%80%805%E6%9C%88%E5%8F%B7/",
}
@article{taneishi2017ai,
  title={創薬における AI の可能性},
  author={種石慶 and 岩田浩明 and 小島諒介 and 奥野恭史},
  journal={日本化学会情報化学部会誌},
  volume={35},
  number={3},
  pages={202},
  year={2017},
  publisher={公益社団法人 日本化学会・情報化学部会},
  url="https://www.jstage.jst.go.jp/article/cicsj/35/3/35_202/_article/-char/ja/",
}

特許

小島諒介，中臺一博: “環境理解装置および環境理解方法”特開2016-51052

受賞

小島諒介，杉山治, 中臺一博: 第３３回日本ロボット学会研究奨励賞
松林志保，鈴木麗璽，小島諒介，中臺一博: 第43回AIチャレンジ研究会優秀賞
小島諒介，杉山治, 中臺一博: SI 2014 優秀講演者賞
Kojima, R. and Sato, T.:ILP 2014 Best Student Paper runner-up

[]

:
.
In , , , , Vol. No. pp. , ed., , .

Draft/PDF:
Slide:

小島 諒介

募集