Ryosuke Kojima

According to our database, Ryosuke Kojima authored at least 55 papers between 2014 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Learning Deep Dissipative Dynamics.

Yuji Okamoto, Ryosuke Kojima

CoRR, 2024

Out-of-distribution Reject Option Method for Dataset Shift Problem in Early Disease Onset Prediction.

Taisei Tosaki, Eiichiro Uchino, Ryosuke Kojima, Yohei Mineharu, Mikio Arita, Nobuyuki Miyai, Yoshinori Tamada, Tatsuya Mikami, Koichi Murashita, Shigeyuki Nakaji, Yasushi Okuno

CoRR, 2024

Floor-Field-Guided Neural Model for Crowd Counting.

Takehiro Habara, Ryosuke Kojima

IEEE Access, 2024

Reconsidering Stochastic Policy Gradient Methods for Traffic Signal Control.

Masahiro Kato, Ryosuke Kojima

Proceedings of the Advances and Trends in Artificial Intelligence. Theory and Applications, 2024

2023

VGAE-MCTS: A New Molecular Generative Model Combining the Variational Graph Auto-Encoder and Monte Carlo Tree Search.

Hiroaki Iwata, Taichi Nakai, Takuto Koyama, Shigeyuki Matsumoto, Ryosuke Kojima, Yasushi Okuno

J. Chem. Inf. Model., December, 2023

Network-based prediction approach for cancer-specific driver missense mutations using a graph neural network.

Narumi Hatano, Mayumi Kamada, Ryosuke Kojima, Yasushi Okuno

BMC Bioinform., December, 2023

Improving Compound-Protein Interaction Prediction by Self-Training with Augmenting Negative Samples.

Takuto Koyama, Shigeyuki Matsumoto, Hiroaki Iwata, Ryosuke Kojima, Yasushi Okuno

J. Chem. Inf. Model., August, 2023

Individual health-disease phase diagrams for disease prevention based on machine learning.

Kazuki Nakamura, Eiichiro Uchino, Noriaki Sato, Ayano Araki, Kei Terayama, Ryosuke Kojima, Koichi Murashita, Ken Itoh, Tatsuya Mikami, Yoshinori Tamada, Yasushi Okuno

J. Biomed. Informatics, August, 2023

Privacy-Preserving Correlation Coefficient.

Tomoaki Mimoto, Hiroyuki Yokoyama, Toru Nakamura, Takamasa Isohara, Masayuki Hashimoto, Ryosuke Kojima, Aki Hasegawa, Yasushi Okuno

IEICE Trans. Inf. Syst., May, 2023

ReactionT5: a large-scale pre-trained model towards application of limited reaction data.

Tatsuya Sagawa, Ryosuke Kojima

CoRR, 2023

A New Deep State-Space Analysis Framework for Patient Latent State Estimation and Classification from EHR Time Series Data.

Aya Nakamura, Ryosuke Kojima, Yuji Okamoto, Eiichiro Uchino, Yohei Mineharu, Yohei Harada, Mayumi Kamada, Manabu Muto, Motoko Yanagita, Yasushi Okuno

CoRR, 2023

An end-to-end framework for gene expression classification by integrating a background knowledge graph: application to cancer prognosis prediction.

Kazuma Inoue, Ryosuke Kojima, Mayumi Kamada, Yasushi Okuno

CoRR, 2023

2022

AI-Driven Synthetic Route Design Incorporated with Retrosynthesis Knowledge.

Shoichi Ishida, Kei Terayama, Ryosuke Kojima, Kiyosei Takasu, Yasushi Okuno

J. Chem. Inf. Model., 2022

GraphIX: Graph-based In silico XAI(explainable artificial intelligence) for drug repositioning from biopharmaceutical network.

Atsuko Takagi, Mayumi Kamada, Eri Hamatani, Ryosuke Kojima, Yasushi Okuno

CoRR, 2022

Learning Deep Input-Output Stable Dynamics.

Ryosuke Kojima, Yuji Okamoto

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Differential Privacy under Incalculable Sensitivity.

Tomoaki Mimoto, Masayuki Hashimoto, Hiroyuki Yokoyama, Toru Nakamura, Takamasa Isohara, Ryosuke Kojima, Aki Hasegawa, Yasushi Okuno

Proceedings of the 6th International Conference on Cryptography, Security and Privacy, 2022

2021

MatSat: a matrix-based differentiable SAT solver.

Taisuke Sato, Ryosuke Kojima

CoRR, 2021

Complex network prediction using deep learning.

Yoshihisa Tanaka, Ryosuke Kojima, Shoichi Ishida, Fumiyoshi Yamashita, Yasushi Okuno

CoRR, 2021

Prediction and visualization of acute kidney injury in intensive care unit using one-dimensional convolutional neural networks based on routinely collected data.

Noriaki Sato, Eiichiro Uchino, Ryosuke Kojima, Shusuke Hiragi, Motoko Yanagita, Yasushi Okuno

Comput. Methods Programs Biomed., 2021

An unsupervised auditory scene analysis system using incremental low-dimensional embedding.

Kenta Shinzato, Ryosuke Kojima

Proceedings of the IEEE/SICE International Symposium on System Integration, 2021

Boolean Network Learning in Vector Spaces for Genome-wide Network Analysis.

Taisuke Sato, Ryosuke Kojima

Proceedings of the 18th International Conference on Principles of Knowledge Representation and Reasoning, 2021

Assessment of von Mises-Bernoulli Deep Neural Network in Sound Source Localization.

Katsutoshi Itoyama, Yoshiya Morimoto, Shungo Masaki, Ryosuke Kojima, Kenji Nishida, Kazuhiro Nakadai

Proceedings of the 22nd Annual Conference of the International Speech Communication Association, Interspeech 2021, Brno, Czechia, August 30, 2021

2020

kGCN: a graph-based deep learning framework for chemical structures.

Ryosuke Kojima, Shoichi Ishida, Masateru Ohta, Hiroaki Iwata, Teruki Honma, Yasushi Okuno

J. Cheminformatics, 2020

Classification of glomerular pathological findings using deep learning and nephrologist-AI collective intelligence approach.

Eiichiro Uchino, Kanata Suzuki, Noriaki Sato, Ryosuke Kojima, Yoshinori Tamada, Shusuke Hiragi, Hideki Yokoi, Nobuhiro Yugami, Sachiko Minamiguchi, Hironori Haga, Motoko Yanagita, Yasushi Okuno

Int. J. Medical Informatics, 2020

Prediction of blood pressure variability using deep neural networks.

Hiroshi Koshimizu, Ryosuke Kojima, Kazuomi Kario, Yasushi Okuno

Int. J. Medical Informatics, 2020

Health improvement framework for planning actionable treatment process using surrogate Bayesian model.

Kazuki Nakamura, Ryosuke Kojima, Eiichiro Uchino, Koichi Murashita, Ken Itoh, Shigeyuki Nakaji, Yasushi Okuno

CoRR, 2020

Sound Source Localization Based on von-Mises-Bernoulli Deep Neural Network.

Kazuhiro Nakadai, Shungo Masaki, Ryosuke Kojima, Osamu Sugiyama, Katsutoshi Itoyama, Kenji Nishida

Proceedings of the 2020 IEEE/SICE International Symposium on System Integration, 2020

2019

Prediction and Interpretable Visualization of Retrosynthetic Reactions Using Graph Convolutional Networks.

Shoichi Ishida, Kei Terayama, Ryosuke Kojima, Kiyosei Takasu, Yasushi Okuno

J. Chem. Inf. Model., 2019

A tensorized logic programming language for large-scale data.

Ryosuke Kojima, Taisuke Sato

CoRR, 2019

2D sound source position estimation using microphone arrays and its application to a VR-based bird song analysis system.

Daniel Gabriel, Ryosuke Kojima, Kotaro Hoshiba, Katsutoshi Itoyama, Kenji Nishida, Kazuhiro Nakadai

Adv. Robotics, 2019

Med2RDF: Semantic Biomedical Knowledge-base and APIs for the Clinical Genome Medicine.

Mayumi Kamada, Toshiaki Katayama, Shuichi Kawashima, Ryosuke Kojima, Masahiko Nakatsui, Yasushi Okuno

Proceedings of the 12th International Conference on Semantic Web Applications and Tools for Health Care and Life Sciences, 2019

Design and assessment of multiple-sound source localization using microphone arrays.

Daniel Gabriel, Ryosuke Kojima, Kotaro Hoshiba, Katsutoshi Itoyama, Kenji Nishida, Kazuhiro Nakadai

Proceedings of the IEEE/SICE International Symposium on System Integration, 2019

T-PRISM: A tensorized logic programming language for data modelling.

Ryosuke Kojima, Taisuke Sato

Proceedings of the 2019 International Workshop on Neural-Symbolic Learning and Reasoning (NeSy 2019), 2019

Logical Inference as Cost Minimization in Vector Spaces.

Taisuke Sato, Ryosuke Kojima

Proceedings of the Artificial Intelligence. IJCAI 2019 International Workshops, 2019

Batched Sparse Matrix Multiplication for Accelerating Graph Convolutional Networks.

Yusuke Nagasaka, Akira Nukada, Ryosuke Kojima, Satoshi Matsuoka

Proceedings of the 19th IEEE/ACM International Symposium on Cluster, 2019

2018

Learning to rank in PRISM.

Ryosuke Kojima, Taisuke Sato

Int. J. Approx. Reason., 2018

HARK-Bird-Box: A Portable Real-time Bird Song Scene Analysis System.

Ryosuke Kojima, Osamu Sugiyama, Kotaro Hoshiba, Reiji Suzuki, Kazuhiro Nakadai

Proceedings of the 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2018

2017

Outdoor Acoustic Event Identification with DNN Using a Quadrotor-Embedded Microphone Array.

Osamu Sugiyama, Satoshi Uemura, Akihide Nagamine, Ryosuke Kojima, Keisuke Nakamura, Kazuhiro Nakadai

J. Robotics Mechatronics, 2017

Outdoor Sound Source Detection Using a Quadcopter with Microphone Array.

Takuma Ohata, Keisuke Nakamura, Akihide Nagamine, Takeshi Mizumoto, Takayuki Ishizaki, Ryosuke Kojima, Osamu Sugiyama, Kazuhiro Nakadai

J. Robotics Mechatronics, 2017

Acoustic Monitoring of the Great Reed Warbler Using Multiple Microphone Arrays and Robot Audition.

Shiho Matsubayashi, Reiji Suzuki, Fumiyuki Saito, Tatsuyoshi Murate, Tomohisa Masuda, Koichi Yamamoto, Ryosuke Kojima, Kazuhiro Nakadai, Hiroshi G. Okuno

J. Robotics Mechatronics, 2017

Bird Song Scene Analysis Using a Spatial-Cue-Based Probabilistic Model.

Ryosuke Kojima, Osamu Sugiyama, Kotaro Hoshiba, Kazuhiro Nakadai, Reiji Suzuki, Charles E. Taylor

J. Robotics Mechatronics, 2017

Design and Assessment of Sound Source Localization System with a UAV-Embedded Microphone Array.

Kotaro Hoshiba, Osamu Sugiyama, Akihide Nagamine, Ryosuke Kojima, Makoto Kumon, Kazuhiro Nakadai

J. Robotics Mechatronics, 2017

Computer-aided diagnosis of lung nodule using gradient tree boosting and Bayesian optimization.

Mizuho Nishio, Mitsuo Nishizawa, Osamu Sugiyama, Ryosuke Kojima, Masahiro Yakami, Tomohiro Kuroda, Kaori Togashi

CoRR, 2017

Construction of Knowledge-Base for Clinical Interpretation of Genomic Variants.

Mayumi Kamada, Toshiaki Katayama, Shuichi Kawashima, Ryosuke Kojima, Masahiko Nakatsui, Yasushi Okuno

Proceedings of the 10th International Conference on Semantic Web Applications and Tools for Health Care and Life Sciences (SWAT4LS 2017), 2017

Development of microphone-array-embedded UAV for search and rescue task.

Kazuhiro Nakadai, Makoto Kumon, Hiroshi G. Okuno, Kotaro Hoshiba, Mizuho Wakabayashi, Kai Washizaki, Takahiro Ishiki, Daniel Gabriel, Yoshiaki Bando, Takayuki Morito, Ryosuke Kojima, Osamu Sugiyama

Proceedings of the 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2017

A Spatial-Cue-Based Probabilistic Model for Bird Song Scene Analysis.

Ryosuke Kojima, Osamu Sugiyama, Kotaro Hoshiba, Reiji Suzuki, Kazuhiro Nakadai

Proceedings of the 2017 IEEE International Conference on Data Science and Advanced Analytics, 2017

2016

Multimodal Scene Understanding Framework and Its Application to Cooking Recognition.

Ryosuke Kojima, Osamu Sugiyama, Kazuhiro Nakadai

Appl. Artif. Intell., 2016

Partially Shared Deep Neural Network in sound source separation and identification using a UAV-embedded microphone array.

Takayuki Morito, Osamu Sugiyama, Ryosuke Kojima, Kazuhiro Nakadai

Proceedings of the 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2016

Semi-automatic bird song analysis by spatial-cue-based integration of sound source detection, localization, separation, and identification.

Ryosuke Kojima, Osamu Sugiyama, Reiji Suzuki, Kazuhiro Nakadai, Charles E. Taylor

Proceedings of the 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2016

Reduction of Computational Cost Using Two-Stage Deep Neural Network for Training for Denoising and Sound Source Identification.

Takayuki Morito, Osamu Sugiyama, Satoshi Uemura, Ryosuke Kojima, Kazuhiro Nakadai

Proceedings of the Trends in Applied Knowledge-Based Systems and Data Science, 2016

2015

Audio-visual scene understanding utilizing text information for a cooking support robot.

Ryosuke Kojima, Osamu Sugiyama, Kazuhiro Nakadai

Proceedings of the 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2015

Interactive Interface to Optimize Sound Source Localization with HARK.

Osamu Sugiyama, Ryosuke Kojima, Kazuhiro Nakadai

Proceedings of the Current Approaches in Applied Artificial Intelligence, 2015

Scene Understanding Based on Sound and Text Information for a Cooking Support Robot.

Ryosuke Kojima, Osamu Sugiyama, Kazuhiro Nakadai

Proceedings of the Current Approaches in Applied Artificial Intelligence, 2015

Interactive interface to optimize sound source localization based on microphone array with coarse-to-fine tuning for humanoids.

Osamu Sugiyama, Ryosuke Kojima, Kazuhiro Nakadai

Proceedings of the 15th IEEE-RAS International Conference on Humanoid Robots, 2015

2014

Goal and Plan Recognition via Parse Trees Using Prefix and Infix Probability Computation.

Ryosuke Kojima, Taisuke Sato

Proceedings of the Inductive Logic Programming - 24th International Conference, 2014