Ryosuke Kojima's Page

Development/education

Open-sourced robot audition software ：HARK
- used in [t2][c1] for sound source localization and separation
- I'm a lecturer in the 11-21th HARK seminars(4th HARK hackathon)
A probabilistic logic programming language：PRISM (github page)
- used in [t1] for preference learning for and knowledge graph
- used in [t2] for probability computations on the hierarchical hidden Markov model (HHMM)
- used in [t3][t4] for the prefix probability computation on the probabilistic context-free grammar (PCFG)
- I'm a developer (ver. 2.2 or later and T-PRISM (tensorized version of PRISM))
A graph neural network platform for life science: kGCN A graph neural network platform for molcular-related data: kMoL
“introduction of machine learning” in KD DHIEP Program (Kyoto University and Deloitte Data-Driven Healthcare Innovation Evangelist promotion Program)

Biography

2012: received a B.E. in computer science in 2012 from the Tokyo Institute of technology, Japan
2014: received an M.E. in information science and engineering in 2014 from the Tokyo Institute of technology, Japan
2017: received a Ph.D.(engineering) in information science and engineering in 2017 from the Tokyo Institute of technology, Japan
2017: a program-specific associate professor (AMED) at Graduate School of Medicine, Kyoto University, Japan
2021: currently a lecturer at Graduate School of Medicine, Kyoto University, Japan

Journal

@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={Eye movement analysis to enhance the communication skills of children (patients) with severe motor and intellectual disabilities. (Japanese)},
  author={Kojima, Ryosuke and Suzuki, Machiko and Araki, Ayano and Okuno, Yasushi},
  journal={Japanese Journal of Severe Motor and Intellectual Disabilities},
  volume={44},
  number={3},
  pages={537--545},
  year={2019},
  url={https://www.jstage.jst.go.jp/article/jsmid/44/3/44_537/_article/-char/en/},
  publisher={Japanese Journal of Severe Motor and Intellectual Disabilities}
}

@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={A Plan Recognition Method using Prefix Computation in Web Access Log Analysis (Japanese)},
  author={Kojima, Ryosuke and Sato, Taisuke},
  journal={Transactions of the Japanese Society for Artificial Intelligence},
  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}
}

Conference and workshop

@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}
}

@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{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}",
}

Other conference and workshop

@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",
}

Award

Kojima, R. and Sato, T.:ILP 2014 Best Student Paper runner-up

[]