Ryosuke Kojima

Orcid: 0000-0002-3792-9222

According to our database1, Ryosuke Kojima authored at least 51 papers between 2014 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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On csauthors.net:

Bibliography

2023
VGAE-MCTS: A New Molecular Generative Model Combining the Variational Graph Auto-Encoder and Monte Carlo Tree Search.
J. Chem. Inf. Model., December, 2023

Network-based prediction approach for cancer-specific driver missense mutations using a graph neural network.
BMC Bioinform., December, 2023

Improving Compound-Protein Interaction Prediction by Self-Training with Augmenting Negative Samples.
J. Chem. Inf. Model., August, 2023

Individual health-disease phase diagrams for disease prevention based on machine learning.
J. Biomed. Informatics, August, 2023

Privacy-Preserving Correlation Coefficient.
IEICE Trans. Inf. Syst., May, 2023

ReactionT5: a large-scale pre-trained model towards application of limited reaction data.
CoRR, 2023

A New Deep State-Space Analysis Framework for Patient Latent State Estimation and Classification from EHR Time Series Data.
CoRR, 2023

An end-to-end framework for gene expression classification by integrating a background knowledge graph: application to cancer prognosis prediction.
CoRR, 2023

2022
AI-Driven Synthetic Route Design Incorporated with Retrosynthesis Knowledge.
J. Chem. Inf. Model., 2022

GraphIX: Graph-based In silico XAI(explainable artificial intelligence) for drug repositioning from biopharmaceutical network.
CoRR, 2022

Learning Deep Input-Output Stable Dynamics.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Differential Privacy under Incalculable Sensitivity.
Proceedings of the 6th International Conference on Cryptography, Security and Privacy, 2022

2021
MatSat: a matrix-based differentiable SAT solver.
CoRR, 2021

Complex network prediction using deep learning.
CoRR, 2021

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., 2021

An unsupervised auditory scene analysis system using incremental low-dimensional embedding.
Proceedings of the IEEE/SICE International Symposium on System Integration, 2021

Boolean Network Learning in Vector Spaces for Genome-wide Network Analysis.
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.
Proceedings of the Interspeech 2021, 22nd Annual Conference of the International Speech Communication Association, Brno, Czechia, 30 August, 2021

2020
kGCN: a graph-based deep learning framework for chemical structures.
J. Cheminformatics, 2020

Classification of glomerular pathological findings using deep learning and nephrologist-AI collective intelligence approach.
Int. J. Medical Informatics, 2020

Prediction of blood pressure variability using deep neural networks.
Int. J. Medical Informatics, 2020

Health improvement framework for planning actionable treatment process using surrogate Bayesian model.
CoRR, 2020

Sound Source Localization Based on von-Mises-Bernoulli Deep Neural Network.
Proceedings of the 2020 IEEE/SICE International Symposium on System Integration, 2020

2019
Prediction and Interpretable Visualization of Retrosynthetic Reactions Using Graph Convolutional Networks.
J. Chem. Inf. Model., 2019

A tensorized logic programming language for large-scale data.
CoRR, 2019

2D sound source position estimation using microphone arrays and its application to a VR-based bird song analysis system.
Adv. Robotics, 2019

Med2RDF: Semantic Biomedical Knowledge-base and APIs for the Clinical Genome Medicine.
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.
Proceedings of the IEEE/SICE International Symposium on System Integration, 2019

T-PRISM: A tensorized logic programming language for data modelling.
Proceedings of the 2019 International Workshop on Neural-Symbolic Learning and Reasoning (NeSy 2019), 2019

Logical Inference as Cost Minimization in Vector Spaces.
Proceedings of the Artificial Intelligence. IJCAI 2019 International Workshops, 2019

Batched Sparse Matrix Multiplication for Accelerating Graph Convolutional Networks.
Proceedings of the 19th IEEE/ACM International Symposium on Cluster, 2019

2018
Learning to rank in PRISM.
Int. J. Approx. Reason., 2018

HARK-Bird-Box: A Portable Real-time Bird Song Scene Analysis System.
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.
J. Robotics Mechatronics, 2017

Outdoor Sound Source Detection Using a Quadcopter with Microphone Array.
J. Robotics Mechatronics, 2017

Acoustic Monitoring of the Great Reed Warbler Using Multiple Microphone Arrays and Robot Audition.
J. Robotics Mechatronics, 2017

Bird Song Scene Analysis Using a Spatial-Cue-Based Probabilistic Model.
J. Robotics Mechatronics, 2017

Design and Assessment of Sound Source Localization System with a UAV-Embedded Microphone Array.
J. Robotics Mechatronics, 2017

Computer-aided diagnosis of lung nodule using gradient tree boosting and Bayesian optimization.
CoRR, 2017

Construction of Knowledge-Base for Clinical Interpretation of Genomic Variants.
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.
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.
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.
Appl. Artif. Intell., 2016

Partially Shared Deep Neural Network in sound source separation and identification using a UAV-embedded microphone array.
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.
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.
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.
Proceedings of the 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2015

Interactive Interface to Optimize Sound Source Localization with HARK.
Proceedings of the Current Approaches in Applied Artificial Intelligence, 2015

Scene Understanding Based on Sound and Text Information for a Cooking Support Robot.
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.
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.
Proceedings of the Inductive Logic Programming - 24th International Conference, 2014


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