Ryosuke Kojima

67 papers A* 4A 6B 3C 4Journal 41Unranked 9

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Chemical genomics language model toward reliable and explainable compound-protein interaction exploration. J. Cheminformatics Takuto Koyama, Hayato Tsumura, Ryunosuke Okita, Kimihiro Yamazaki, Aki Hasegawa, Keiko Imamura, Takashi Kato, Hiroaki Iwata, Ryosuke Kojima, Haruhisa Inoue, Shigeyuki Matsumoto, Yasushi Okuno
2026	J	`jnl`	Empowering federated learning for robust compound-protein interaction prediction across heterogeneous cross-pharma domains. J. Cheminformatics Takuto Koyama, Hiroaki Iwata, Ryosuke Kojima, Takao Otsuka, Aki Hasegawa, Seungeon Lee, Hiroshi Ueda, Toshiharu Morimoto, Ryoko Sasaki, Nao Torimoto, Sei Murakami, Manabu Tojo, Teruki Honma, Shigeyuki Matsumoto, Yasushi Okuno
2026	J	`jnl`	How Well Do Large-Scale Chemical Language Models Transfer to Downstream Tasks? CoRR Tatsuya Sagawa, Ryosuke Kojima
2025	—	`conf`	Accelerating Drug Discovery through Semantic Data Integration and Machine Learning: From Biomedical Knowledge Graphs to Predictive Models. ISWC (Industry/Doctoral Consortium/Posters/Demos) Toshiaki Katayama, Shuichi Kawashima, Ryosuke Kojima, Takuto Koyama, Mayumi Kamada, Yuki Moriya
2025	J	`jnl`	Improving ADME Prediction with Multitask Graph Neural Networks and Assessing Explainability in Lead Optimization. J. Chem. Inf. Model. Shoma Ito, Takuto Koyama, Shigeyuki Matsumoto, Ryosuke Kojima, Yuji Okamoto, Masataka Kuroda, Hitoshi Kawashima, Reiko Watanabe, Tomoki Yonezawa, Takaaki Sumiyoshi, Kazuyoshi Ikeda, Kenji Mizuguchi, Hiroaki Iwata, Yasushi Okuno
2025	A*	`conf`	Learning Deep Dissipative Dynamics. AAAI Yuji Okamoto, Ryosuke Kojima
2025	J	`jnl`	ReactionT5: a pre-trained transformer model for accurate chemical reaction prediction with limited data. J. Cheminformatics Tatsuya Sagawa, Ryosuke Kojima
2025	J	`jnl`	Supervised Graph Contrastive Learning for Gene Regulatory Network. CoRR Sho Oshima, Yuji Okamoto, Taisei Tosaki, Ryosuke Kojima, Yasushi Okuno
2025	J	`jnl`	kMoL: an open-source machine and federated learning library for drug discovery. J. Cheminformatics Romeo Cozac, Haris Hasic, Jun Jin Choong, Vincent Richard, Loic Beheshti, Cyrille Froehlich, Takuto Koyama, Shigeyuki Matsumoto, Ryosuke Kojima, Hiroaki Iwata, Aki Hasegawa, Takao Otsuka, Yasushi Okuno
2024	J	`jnl`	Floor-Field-Guided Neural Model for Crowd Counting. IEEE Access Takehiro Habara, Ryosuke Kojima
2024	J	`jnl`	Learning Deep Dissipative Dynamics. CoRR Yuji Okamoto, Ryosuke Kojima
2024	J	`jnl`	Out-of-distribution Reject Option Method for Dataset Shift Problem in Early Disease Onset Prediction. CoRR Taisei Tosaki, Eiichiro Uchino, Ryosuke Kojima, Yohei Mineharu, Mikio Arita, Nobuyuki Miyai, Yoshinori Tamada, Tatsuya Mikami, Koichi Murashita, Shigeyuki Nakaji, Yasushi Okuno
2024	C	`conf`	Reconsidering Stochastic Policy Gradient Methods for Traffic Signal Control. IEA/AIE Masahiro Kato, Ryosuke Kojima
2023	J	`jnl`	A New Deep State-Space Analysis Framework for Patient Latent State Estimation and Classification from EHR Time Series Data. CoRR Aya Nakamura, Ryosuke Kojima, Yuji Okamoto, Eiichiro Uchino, Yohei Mineharu, Yohei Harada, Mayumi Kamada, Manabu Muto, Motoko Yanagita, Yasushi Okuno
2023	J	`jnl`	An end-to-end framework for gene expression classification by integrating a background knowledge graph: application to cancer prognosis prediction. CoRR Kazuma Inoue, Ryosuke Kojima, Mayumi Kamada, Yasushi Okuno
2023	J	`jnl`	Improving Compound-Protein Interaction Prediction by Self-Training with Augmenting Negative Samples. J. Chem. Inf. Model. Takuto Koyama, Shigeyuki Matsumoto, Hiroaki Iwata, Ryosuke Kojima, Yasushi Okuno
2023	J	`jnl`	Individual health-disease phase diagrams for disease prevention based on machine learning. J. Biomed. Informatics Kazuki Nakamura, Eiichiro Uchino, Noriaki Sato, Ayano Araki, Kei Terayama, Ryosuke Kojima, Koichi Murashita, Ken Itoh, Tatsuya Mikami, Yoshinori Tamada, Yasushi Okuno
2023	J	`jnl`	Network-based prediction approach for cancer-specific driver missense mutations using a graph neural network. BMC Bioinform. Narumi Hatano, Mayumi Kamada, Ryosuke Kojima, Yasushi Okuno
2023	J	`jnl`	Privacy-Preserving Correlation Coefficient. IEICE Trans. Inf. Syst. Tomoaki Mimoto, Hiroyuki Yokoyama, Toru Nakamura, Takamasa Isohara, Masayuki Hashimoto, Ryosuke Kojima, Aki Hasegawa, Yasushi Okuno
2023	J	`jnl`	ReactionT5: a large-scale pre-trained model towards application of limited reaction data. CoRR Tatsuya Sagawa, Ryosuke Kojima
2023	J	`jnl`	VGAE-MCTS: A New Molecular Generative Model Combining the Variational Graph Auto-Encoder and Monte Carlo Tree Search. J. Chem. Inf. Model. Hiroaki Iwata, Taichi Nakai, Takuto Koyama, Shigeyuki Matsumoto, Ryosuke Kojima, Yasushi Okuno
2022	J	`jnl`	AI-Driven Synthetic Route Design Incorporated with Retrosynthesis Knowledge. J. Chem. Inf. Model. Shoichi Ishida, Kei Terayama, Ryosuke Kojima, Kiyosei Takasu, Yasushi Okuno
2022	—	`conf`	Differential Privacy under Incalculable Sensitivity. CSP Tomoaki Mimoto, Masayuki Hashimoto, Hiroyuki Yokoyama, Toru Nakamura, Takamasa Isohara, Ryosuke Kojima, Aki Hasegawa, Yasushi Okuno
2022	J	`jnl`	GraphIX: Graph-based In silico XAI(explainable artificial intelligence) for drug repositioning from biopharmaceutical network. CoRR Atsuko Takagi, Mayumi Kamada, Eri Hamatani, Ryosuke Kojima, Yasushi Okuno
2022	J	`jnl`	Individual health-disease phase diagrams for disease prevention based on machine learning. CoRR Kazuki Nakamura, Eiichiro Uchino, Noriaki Sato, Ayano Araki, Kei Terayama, Ryosuke Kojima, Koichi Murashita, Ken Itoh, Tatsuya Mikami, Yoshinori Tamada, Yasushi Okuno
2022	A*	`conf`	Learning Deep Input-Output Stable Dynamics. NeurIPS Ryosuke Kojima, Yuji Okamoto
2022	J	`jnl`	Learning Deep Input-Output Stable Dynamics. CoRR Yuji Okamoto, Ryosuke Kojima
2021	—	`conf`	An unsupervised auditory scene analysis system using incremental low-dimensional embedding. SII Kenta Shinzato, Ryosuke Kojima
2021	A	`conf`	Assessment of von Mises-Bernoulli Deep Neural Network in Sound Source Localization. Interspeech Katsutoshi Itoyama, Yoshiya Morimoto, Shungo Masaki, Ryosuke Kojima, Kenji Nishida, Kazuhiro Nakadai
2021	A*	`conf`	Boolean Network Learning in Vector Spaces for Genome-wide Network Analysis. KR Taisuke Sato, Ryosuke Kojima
2021	J	`jnl`	Complex network prediction using deep learning. CoRR Yoshihisa Tanaka, Ryosuke Kojima, Shoichi Ishida, Fumiyoshi Yamashita, Yasushi Okuno
2021	J	`jnl`	MatSat: a matrix-based differentiable SAT solver. CoRR Taisuke Sato, Ryosuke Kojima
2021	J	`jnl`	Prediction and visualization of acute kidney injury in intensive care unit using one-dimensional convolutional neural networks based on routinely collected data. Comput. Methods Programs Biomed. Noriaki Sato, Eiichiro Uchino, Ryosuke Kojima, Shusuke Hiragi, Motoko Yanagita, Yasushi Okuno
2020	J	`jnl`	Classification of glomerular pathological findings using deep learning and nephrologist-AI collective intelligence approach. Int. J. Medical Informatics Eiichiro Uchino, Kanata Suzuki, Noriaki Sato, Ryosuke Kojima, Yoshinori Tamada, Shusuke Hiragi, Hideki Yokoi, Nobuhiro Yugami, Sachiko Minamiguchi, Hironori Haga, Motoko Yanagita, Yasushi Okuno
2020	J	`jnl`	Health improvement framework for planning actionable treatment process using surrogate Bayesian model. CoRR Kazuki Nakamura, Ryosuke Kojima, Eiichiro Uchino, Koichi Murashita, Ken Itoh, Shigeyuki Nakaji, Yasushi Okuno
2020	J	`jnl`	Prediction of blood pressure variability using deep neural networks. Int. J. Medical Informatics Hiroshi Koshimizu, Ryosuke Kojima, Kazuomi Kario, Yasushi Okuno
2020	—	`conf`	Sound Source Localization Based on von-Mises-Bernoulli Deep Neural Network. SII Kazuhiro Nakadai, Shungo Masaki, Ryosuke Kojima, Osamu Sugiyama, Katsutoshi Itoyama, Kenji Nishida
2020	J	`jnl`	kGCN: a graph-based deep learning framework for chemical structures. J. Cheminformatics Ryosuke Kojima, Shoichi Ishida, Masateru Ohta, Hiroaki Iwata, Teruki Honma, Yasushi Okuno
2019	J	`jnl`	2D sound source position estimation using microphone arrays and its application to a VR-based bird song analysis system. Adv. Robotics Daniel Gabriel, Ryosuke Kojima, Kotaro Hoshiba, Katsutoshi Itoyama, Kenji Nishida, Kazuhiro Nakadai
2019	J	`jnl`	A tensorized logic programming language for large-scale data. CoRR Ryosuke Kojima, Taisuke Sato
2019	B	`conf`	Batched Sparse Matrix Multiplication for Accelerating Graph Convolutional Networks. CCGRID Yusuke Nagasaka, Akira Nukada, Ryosuke Kojima, Satoshi Matsuoka
2019	J	`jnl`	Batched Sparse Matrix Multiplication for Accelerating Graph Convolutional Networks. CoRR Yusuke Nagasaka, Akira Nukada, Ryosuke Kojima, Satoshi Matsuoka
2019	—	`conf`	Design and assessment of multiple-sound source localization using microphone arrays. SII Daniel Gabriel, Ryosuke Kojima, Kotaro Hoshiba, Katsutoshi Itoyama, Kenji Nishida, Kazuhiro Nakadai
2019	A*	`conf`	Logical Inference as Cost Minimization in Vector Spaces. IJCAI Taisuke Sato, Ryosuke Kojima
2019	—	`conf`	Med2RDF: Semantic Biomedical Knowledge-base and APIs for the Clinical Genome Medicine. SWAT4HCLS Mayumi Kamada, Toshiaki Katayama, Shuichi Kawashima, Ryosuke Kojima, Masahiko Nakatsui, Yasushi Okuno
2019	J	`jnl`	Prediction and Interpretable Visualization of Retrosynthetic Reactions Using Graph Convolutional Networks. J. Chem. Inf. Model. Shoichi Ishida, Kei Terayama, Ryosuke Kojima, Kiyosei Takasu, Yasushi Okuno
2019	—	`conf`	T-PRISM: A tensorized logic programming language for data modelling. NeSy@IJCAI Ryosuke Kojima, Taisuke Sato
2018	A	`conf`	HARK-Bird-Box: A Portable Real-time Bird Song Scene Analysis System. IROS Ryosuke Kojima, Osamu Sugiyama, Kotaro Hoshiba, Reiji Suzuki, Kazuhiro Nakadai
2018	J	`jnl`	Learning to rank in PRISM. Int. J. Approx. Reason. Ryosuke Kojima, Taisuke Sato
2017	B	`conf`	A Spatial-Cue-Based Probabilistic Model for Bird Song Scene Analysis. DSAA Ryosuke Kojima, Osamu Sugiyama, Kotaro Hoshiba, Reiji Suzuki, Kazuhiro Nakadai
2017	J	`jnl`	Acoustic Monitoring of the Great Reed Warbler Using Multiple Microphone Arrays and Robot Audition. J. Robotics Mechatronics Shiho Matsubayashi, Reiji Suzuki, Fumiyuki Saito, Tatsuyoshi Murate, Tomohisa Masuda, Koichi Yamamoto, Ryosuke Kojima, Kazuhiro Nakadai, Hiroshi G. Okuno
2017	J	`jnl`	Bird Song Scene Analysis Using a Spatial-Cue-Based Probabilistic Model. J. Robotics Mechatronics Ryosuke Kojima, Osamu Sugiyama, Kotaro Hoshiba, Kazuhiro Nakadai, Reiji Suzuki, Charles E. Taylor
2017	J	`jnl`	Computer-aided diagnosis of lung nodule using gradient tree boosting and Bayesian optimization. CoRR Mizuho Nishio, Mitsuo Nishizawa, Osamu Sugiyama, Ryosuke Kojima, Masahiro Yakami, Tomohiro Kuroda, Kaori Togashi
2017	—	`conf`	Construction of Knowledge-Base for Clinical Interpretation of Genomic Variants. SWAT4LS Mayumi Kamada, Toshiaki Katayama, Shuichi Kawashima, Ryosuke Kojima, Masahiko Nakatsui, Yasushi Okuno
2017	J	`jnl`	Design and Assessment of Sound Source Localization System with a UAV-Embedded Microphone Array. J. Robotics Mechatronics Kotaro Hoshiba, Osamu Sugiyama, Akihide Nagamine, Ryosuke Kojima, Makoto Kumon, Kazuhiro Nakadai
2017	A	`conf`	Development of microphone-array-embedded UAV for search and rescue task. IROS 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
2017	J	`jnl`	Outdoor Acoustic Event Identification with DNN Using a Quadrotor-Embedded Microphone Array. J. Robotics Mechatronics Osamu Sugiyama, Satoshi Uemura, Akihide Nagamine, Ryosuke Kojima, Keisuke Nakamura, Kazuhiro Nakadai
2017	J	`jnl`	Outdoor Sound Source Detection Using a Quadcopter with Microphone Array. J. Robotics Mechatronics Takuma Ohata, Keisuke Nakamura, Akihide Nagamine, Takeshi Mizumoto, Takayuki Ishizaki, Ryosuke Kojima, Osamu Sugiyama, Kazuhiro Nakadai
2016	J	`jnl`	Multimodal Scene Understanding Framework and Its Application to Cooking Recognition. Appl. Artif. Intell. Ryosuke Kojima, Osamu Sugiyama, Kazuhiro Nakadai
2016	A	`conf`	Partially Shared Deep Neural Network in sound source separation and identification using a UAV-embedded microphone array. IROS Takayuki Morito, Osamu Sugiyama, Ryosuke Kojima, Kazuhiro Nakadai
2016	C	`conf`	Reduction of Computational Cost Using Two-Stage Deep Neural Network for Training for Denoising and Sound Source Identification. IEA/AIE Takayuki Morito, Osamu Sugiyama, Satoshi Uemura, Ryosuke Kojima, Kazuhiro Nakadai
2016	A	`conf`	Semi-automatic bird song analysis by spatial-cue-based integration of sound source detection, localization, separation, and identification. IROS Ryosuke Kojima, Osamu Sugiyama, Reiji Suzuki, Kazuhiro Nakadai, Charles E. Taylor
2015	A	`conf`	Audio-visual scene understanding utilizing text information for a cooking support robot. IROS Ryosuke Kojima, Osamu Sugiyama, Kazuhiro Nakadai
2015	C	`conf`	Interactive Interface to Optimize Sound Source Localization with HARK. IEA/AIE Osamu Sugiyama, Ryosuke Kojima, Kazuhiro Nakadai
2015	—	`conf`	Interactive interface to optimize sound source localization based on microphone array with coarse-to-fine tuning for humanoids. Humanoids Osamu Sugiyama, Ryosuke Kojima, Kazuhiro Nakadai
2015	C	`conf`	Scene Understanding Based on Sound and Text Information for a Cooking Support Robot. IEA/AIE Ryosuke Kojima, Osamu Sugiyama, Kazuhiro Nakadai
2014	B	`conf`	Goal and Plan Recognition via Parse Trees Using Prefix and Infix Probability Computation. ILP Ryosuke Kojima, Taisuke Sato