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ORCIDRyosuke Kojima
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2020 – today
- 2024
[j20]Takehiro Habara
, Ryosuke Kojima:
Floor-Field-Guided Neural Model for Crowd Counting. IEEE Access 12: 154888-154900 (2024)- [c24]Masahiro Kato, Ryosuke Kojima:
Reconsidering Stochastic Policy Gradient Methods for Traffic Signal Control. IEA/AIE 2024: 442-453 - [i14]Taisei Tosaki, Eiichiro Uchino, Ryosuke Kojima, Yohei Mineharu, Mikio Arita, Nobuyuki Miyai, Yoshinori Tamada, Tatsuya Mikami, Koichi Murashita, Shigeyuki Nakaji, Yasushi Okuno:
Out-of-distribution Reject Option Method for Dataset Shift Problem in Early Disease Onset Prediction. CoRR abs/2405.19864 (2024) - [i13]Yuji Okamoto, Ryosuke Kojima:
Learning Deep Dissipative Dynamics. CoRR abs/2408.11479 (2024) - 2023
- [j19]Narumi Hatano, Mayumi Kamada, Ryosuke Kojima, Yasushi Okuno:
Network-based prediction approach for cancer-specific driver missense mutations using a graph neural network. BMC Bioinform. 24(1): 383 (2023) - [j18]Tomoaki Mimoto, Hiroyuki Yokoyama, Toru Nakamura, Takamasa Isohara, Masayuki Hashimoto, Ryosuke Kojima, Aki Hasegawa, Yasushi Okuno:
Privacy-Preserving Correlation Coefficient. IEICE Trans. Inf. Syst. 106(5): 868-876 (2023) - [j17]Kazuki Nakamura, Eiichiro Uchino, Noriaki Sato, Ayano Araki, Kei Terayama, Ryosuke Kojima, Koichi Murashita, Ken Itoh, Tatsuya Mikami, Yoshinori Tamada, Yasushi Okuno:
Individual health-disease phase diagrams for disease prevention based on machine learning. J. Biomed. Informatics 144: 104448 (2023) - [j16]Takuto Koyama, Shigeyuki Matsumoto, Hiroaki Iwata, Ryosuke Kojima, Yasushi Okuno:
Improving Compound-Protein Interaction Prediction by Self-Training with Augmenting Negative Samples. J. Chem. Inf. Model. 63(15): 4552-4559 (2023) - [j15]Hiroaki Iwata, Taichi Nakai, Takuto Koyama, Shigeyuki Matsumoto, Ryosuke Kojima, Yasushi Okuno:
VGAE-MCTS: A New Molecular Generative Model Combining the Variational Graph Auto-Encoder and Monte Carlo Tree Search. J. Chem. Inf. Model. 63(23): 7392-7400 (2023) - [i12]Kazuma Inoue, Ryosuke Kojima, Mayumi Kamada, Yasushi Okuno:
An end-to-end framework for gene expression classification by integrating a background knowledge graph: application to cancer prognosis prediction. CoRR abs/2306.17202 (2023) - [i11]Aya Nakamura, Ryosuke Kojima, Yuji Okamoto, Eiichiro Uchino, Yohei Mineharu, Yohei Harada, Mayumi Kamada, Manabu Muto, Motoko Yanagita, Yasushi Okuno:
A New Deep State-Space Analysis Framework for Patient Latent State Estimation and Classification from EHR Time Series Data. CoRR abs/2307.11487 (2023) - [i10]Tatsuya Sagawa, Ryosuke Kojima:
ReactionT5: a large-scale pre-trained model towards application of limited reaction data. CoRR abs/2311.06708 (2023) - 2022
- [j14]Shoichi Ishida, Kei Terayama, Ryosuke Kojima, Kiyosei Takasu, Yasushi Okuno:
AI-Driven Synthetic Route Design Incorporated with Retrosynthesis Knowledge. J. Chem. Inf. Model. 62(6): 1357-1367 (2022) - [c23]Tomoaki Mimoto, Masayuki Hashimoto, Hiroyuki Yokoyama, Toru Nakamura, Takamasa Isohara, Ryosuke Kojima, Aki Hasegawa, Yasushi Okuno:
Differential Privacy under Incalculable Sensitivity. CSP 2022: 27-31 - [c22]Ryosuke Kojima, Yuji Okamoto:
Learning Deep Input-Output Stable Dynamics. NeurIPS 2022 - [i9]Kazuki Nakamura, Eiichiro Uchino, Noriaki Sato, Ayano Araki, Kei Terayama, Ryosuke Kojima, Koichi Murashita, Ken Itoh, Tatsuya Mikami, Yoshinori Tamada, Yasushi Okuno:
Individual health-disease phase diagrams for disease prevention based on machine learning. CoRR abs/2205.15598 (2022) - [i8]Yuji Okamoto, Ryosuke Kojima:
Learning Deep Input-Output Stable Dynamics. CoRR abs/2206.13093 (2022) - [i7]Atsuko Takagi, Mayumi Kamada, Eri Hamatani, Ryosuke Kojima, Yasushi Okuno:
GraphIX: Graph-based In silico XAI(explainable artificial intelligence) for drug repositioning from biopharmaceutical network. CoRR abs/2212.10788 (2022) - 2021
- [j13]Noriaki Sato, Eiichiro Uchino, Ryosuke Kojima, Shusuke Hiragi, Motoko Yanagita, Yasushi Okuno:
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. 206: 106129 (2021) - [c21]Katsutoshi Itoyama, Yoshiya Morimoto, Shungo Masaki, Ryosuke Kojima, Kenji Nishida, Kazuhiro Nakadai:
Assessment of von Mises-Bernoulli Deep Neural Network in Sound Source Localization. Interspeech 2021: 2152-2156 - [c20]Taisuke Sato, Ryosuke Kojima:
Boolean Network Learning in Vector Spaces for Genome-wide Network Analysis. KR 2021: 560-569 - [c19]Kenta Shinzato, Ryosuke Kojima:
An unsupervised auditory scene analysis system using incremental low-dimensional embedding. SII 2021: 375-381 - [i6]Yoshihisa Tanaka, Ryosuke Kojima, Shoichi Ishida, Fumiyoshi Yamashita, Yasushi Okuno:
Complex network prediction using deep learning. CoRR abs/2104.03871 (2021) - [i5]Taisuke Sato, Ryosuke Kojima:
MatSat: a matrix-based differentiable SAT solver. CoRR abs/2108.06481 (2021) - 2020
- [j12]Hiroshi Koshimizu, Ryosuke Kojima, Kazuomi Kario, Yasushi Okuno:
Prediction of blood pressure variability using deep neural networks. Int. J. Medical Informatics 136: 104067 (2020) - [j11]Eiichiro Uchino, Kanata Suzuki, Noriaki Sato, Ryosuke Kojima, Yoshinori Tamada, Shusuke Hiragi, Hideki Yokoi, Nobuhiro Yugami, Sachiko Minamiguchi, Hironori Haga, Motoko Yanagita, Yasushi Okuno:
Classification of glomerular pathological findings using deep learning and nephrologist-AI collective intelligence approach. Int. J. Medical Informatics 141: 104231 (2020) - [j10]Ryosuke Kojima, Shoichi Ishida, Masateru Ohta, Hiroaki Iwata, Teruki Honma, Yasushi Okuno:
kGCN: a graph-based deep learning framework for chemical structures. J. Cheminformatics 12(1): 32 (2020) - [c18]Kazuhiro Nakadai, Shungo Masaki, Ryosuke Kojima, Osamu Sugiyama, Katsutoshi Itoyama, Kenji Nishida:
Sound Source Localization Based on von-Mises-Bernoulli Deep Neural Network. SII 2020: 658-663 - [i4]Kazuki Nakamura, Ryosuke Kojima, Eiichiro Uchino, Koichi Murashita, Ken Itoh, Shigeyuki Nakaji, Yasushi Okuno:
Health improvement framework for planning actionable treatment process using surrogate Bayesian model. CoRR abs/2010.16087 (2020)
2010 – 2019
- 2019
- [j9]Daniel Gabriel, Ryosuke Kojima, Kotaro Hoshiba, Katsutoshi Itoyama, Kenji Nishida, Kazuhiro Nakadai:
2D sound source position estimation using microphone arrays and its application to a VR-based bird song analysis system. Adv. Robotics 33(7-8): 403-414 (2019) - [j8]Shoichi Ishida, Kei Terayama, Ryosuke Kojima, Kiyosei Takasu, Yasushi Okuno:
Prediction and Interpretable Visualization of Retrosynthetic Reactions Using Graph Convolutional Networks. J. Chem. Inf. Model. 59(12): 5026-5033 (2019) - [c17]Yusuke Nagasaka, Akira Nukada, Ryosuke Kojima, Satoshi Matsuoka:
Batched Sparse Matrix Multiplication for Accelerating Graph Convolutional Networks. CCGRID 2019: 231-240 - [c16]Taisuke Sato, Ryosuke Kojima:
Logical Inference as Cost Minimization in Vector Spaces. IJCAI 2019: 239-255 - [c15]Ryosuke Kojima, Taisuke Sato:
T-PRISM: A tensorized logic programming language for data modelling. NeSy@IJCAI 2019 - [c14]Daniel Gabriel, Ryosuke Kojima, Kotaro Hoshiba, Katsutoshi Itoyama, Kenji Nishida, Kazuhiro Nakadai:
Design and assessment of multiple-sound source localization using microphone arrays. SII 2019: 199-204 - [c13]Mayumi Kamada, Toshiaki Katayama, Shuichi Kawashima, Ryosuke Kojima, Masahiko Nakatsui, Yasushi Okuno:
Med2RDF: Semantic Biomedical Knowledge-base and APIs for the Clinical Genome Medicine. SWAT4HCLS 2019: 161-162 - [i3]Ryosuke Kojima, Taisuke Sato:
A tensorized logic programming language for large-scale data. CoRR abs/1901.08548 (2019) - [i2]Yusuke Nagasaka, Akira Nukada, Ryosuke Kojima, Satoshi Matsuoka:
Batched Sparse Matrix Multiplication for Accelerating Graph Convolutional Networks. CoRR abs/1903.11409 (2019) - 2018
- [j7]Ryosuke Kojima, Taisuke Sato:
Learning to rank in PRISM. Int. J. Approx. Reason. 93: 561-577 (2018) - [c12]Ryosuke Kojima, Osamu Sugiyama, Kotaro Hoshiba, Reiji Suzuki, Kazuhiro Nakadai:
HARK-Bird-Box: A Portable Real-time Bird Song Scene Analysis System. IROS 2018: 2497-2502 - 2017
- [j6]Kotaro Hoshiba, Osamu Sugiyama, Akihide Nagamine, Ryosuke Kojima, Makoto Kumon, Kazuhiro Nakadai:
Design and Assessment of Sound Source Localization System with a UAV-Embedded Microphone Array. J. Robotics Mechatronics 29(1): 154-167 (2017) - [j5]Takuma Ohata, Keisuke Nakamura, Akihide Nagamine, Takeshi Mizumoto, Takayuki Ishizaki, Ryosuke Kojima, Osamu Sugiyama, Kazuhiro Nakadai:
Outdoor Sound Source Detection Using a Quadcopter with Microphone Array. J. Robotics Mechatronics 29(1): 177-187 (2017) - [j4]Osamu Sugiyama, Satoshi Uemura, Akihide Nagamine, Ryosuke Kojima, Keisuke Nakamura, Kazuhiro Nakadai:
Outdoor Acoustic Event Identification with DNN Using a Quadrotor-Embedded Microphone Array. J. Robotics Mechatronics 29(1): 188-197 (2017) - [j3]Shiho Matsubayashi, Reiji Suzuki, Fumiyuki Saito, Tatsuyoshi Murate, Tomohisa Masuda, Koichi Yamamoto, Ryosuke Kojima, Kazuhiro Nakadai, Hiroshi G. Okuno:
Acoustic Monitoring of the Great Reed Warbler Using Multiple Microphone Arrays and Robot Audition. J. Robotics Mechatronics 29(1): 224-235 (2017) - [j2]Ryosuke Kojima, Osamu Sugiyama, Kotaro Hoshiba, Kazuhiro Nakadai, Reiji Suzuki, Charles E. Taylor:
Bird Song Scene Analysis Using a Spatial-Cue-Based Probabilistic Model. J. Robotics Mechatronics 29(1): 236-246 (2017) - [c11]Ryosuke Kojima, Osamu Sugiyama, Kotaro Hoshiba, Reiji Suzuki, Kazuhiro Nakadai:
A Spatial-Cue-Based Probabilistic Model for Bird Song Scene Analysis. DSAA 2017: 395-404 - [c10]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:
Development of microphone-array-embedded UAV for search and rescue task. IROS 2017: 5985-5990 - [c9]Mayumi Kamada, Toshiaki Katayama, Shuichi Kawashima, Ryosuke Kojima, Masahiko Nakatsui, Yasushi Okuno:
Construction of Knowledge-Base for Clinical Interpretation of Genomic Variants. SWAT4LS 2017 - [i1]Mizuho Nishio, Mitsuo Nishizawa, Osamu Sugiyama, Ryosuke Kojima, Masahiro Yakami, Tomohiro Kuroda, Kaori Togashi:
Computer-aided diagnosis of lung nodule using gradient tree boosting and Bayesian optimization. CoRR abs/1708.05897 (2017) - 2016
- [j1]Ryosuke Kojima, Osamu Sugiyama, Kazuhiro Nakadai:
Multimodal Scene Understanding Framework and Its Application to Cooking Recognition. Appl. Artif. Intell. 30(3): 181-200 (2016) - [c8]Takayuki Morito, Osamu Sugiyama, Satoshi Uemura, Ryosuke Kojima, Kazuhiro Nakadai:
Reduction of Computational Cost Using Two-Stage Deep Neural Network for Training for Denoising and Sound Source Identification. IEA/AIE 2016: 562-573 - [c7]Ryosuke Kojima, Osamu Sugiyama, Reiji Suzuki, Kazuhiro Nakadai, Charles E. Taylor:
Semi-automatic bird song analysis by spatial-cue-based integration of sound source detection, localization, separation, and identification. IROS 2016: 1287-1292 - [c6]Takayuki Morito, Osamu Sugiyama, Ryosuke Kojima, Kazuhiro Nakadai:
Partially Shared Deep Neural Network in sound source separation and identification using a UAV-embedded microphone array. IROS 2016: 1299-1304 - 2015
- [c5]Osamu Sugiyama, Ryosuke Kojima, Kazuhiro Nakadai:
Interactive interface to optimize sound source localization based on microphone array with coarse-to-fine tuning for humanoids. Humanoids 2015: 825-830 - [c4]Osamu Sugiyama, Ryosuke Kojima, Kazuhiro Nakadai:
Interactive Interface to Optimize Sound Source Localization with HARK. IEA/AIE 2015: 262-271 - [c3]Ryosuke Kojima, Osamu Sugiyama, Kazuhiro Nakadai:
Scene Understanding Based on Sound and Text Information for a Cooking Support Robot. IEA/AIE 2015: 665-674 - [c2]Ryosuke Kojima, Osamu Sugiyama, Kazuhiro Nakadai:
Audio-visual scene understanding utilizing text information for a cooking support robot. IROS 2015: 4210-4215 - 2014
- [c1]Ryosuke Kojima, Taisuke Sato:
Goal and Plan Recognition via Parse Trees Using Prefix and Infix Probability Computation. ILP 2014: 76-91
Coauthor Index
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