Ryosuke Kojima

About Ryosuke Kojima

Ryosuke Kojima, With an exceptional h-index of 17 and a recent h-index of 15 (since 2020), a distinguished researcher at Kyoto University, specializes in the field of Artificial Intelligence, Robot Audition, Probabilistic Programming.

His recent articles reflect a diverse array of research interests and contributions to the field:

Developing a GNN-based AI model to predict mitochondrial toxicity using the bagging method

Interpretable machine learning-based individual analysis of acute kidney injury in immune checkpoint inhibitor therapy

Analysis of Autonomous Many-Body Particle Models from Geometric Perspective and Its Applications

ChemGLaM: Chemical Genomics Language Models for Compound-Protein Interaction Prediction

Selective Recognition between Aromatics and Aliphatics by Cage-Shaped Borates Supported by Machine Learning Approach

Health improvement path search device and health improvement path search method

Toward AI-supported evaluation for safety control measures against near-miss events in pharmaceutical products

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

Ryosuke Kojima Information

University

Position

Assistant Professor

Citations(all)

896

Citations(since 2020)

810

Cited By

315

hIndex(all)

17

hIndex(since 2020)

15

i10Index(all)

23

i10Index(since 2020)

20

Email

University Profile Page

Google Scholar

Ryosuke Kojima Skills & Research Interests

Artificial Intelligence

Robot Audition

Probabilistic Programming

Top articles of Ryosuke Kojima

Developing a GNN-based AI model to predict mitochondrial toxicity using the bagging method

The Journal of Toxicological Sciences

2024

Ryosuke Kojima
Ryosuke Kojima

H-Index: 11

Hiroshi Yamada
Hiroshi Yamada

H-Index: 12

Interpretable machine learning-based individual analysis of acute kidney injury in immune checkpoint inhibitor therapy

Plos one

2024/3/19

Noriaki Sato
Noriaki Sato

H-Index: 17

Ryosuke Kojima
Ryosuke Kojima

H-Index: 11

Analysis of Autonomous Many-Body Particle Models from Geometric Perspective and Its Applications

2024/3/14

Ryosuke Kojima
Ryosuke Kojima

H-Index: 11

Kazuki Maeda
Kazuki Maeda

H-Index: 8

ChemGLaM: Chemical Genomics Language Models for Compound-Protein Interaction Prediction

bioRxiv

2024/2/15

Ryosuke Kojima
Ryosuke Kojima

H-Index: 11

Selective Recognition between Aromatics and Aliphatics by Cage-Shaped Borates Supported by Machine Learning Approach

Organic & Biomolecular Chemistry

2024

Health improvement path search device and health improvement path search method

2023/12/7

Toward AI-supported evaluation for safety control measures against near-miss events in pharmaceutical products

Safety science

2023/12/1

Ryosuke Kojima
Ryosuke Kojima

H-Index: 11

Masahiko Nakatsui
Masahiko Nakatsui

H-Index: 7

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

Journal of Chemical Information and Modeling

2023/11/22

Ryosuke Kojima
Ryosuke Kojima

H-Index: 11

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

arXiv preprint arXiv:2311.06708

2023/11/12

Ryosuke Kojima
Ryosuke Kojima

H-Index: 11

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

BMC bioinformatics

2023/10/10

Ryosuke Kojima
Ryosuke Kojima

H-Index: 11

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

Journal of Biomedical Informatics

2023/8/1

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

arXiv preprint arXiv:2307.11487

2023/7/21

Ryosuke Kojima
Ryosuke Kojima

H-Index: 11

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

Bioinformatics

2015/6/15

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

arXiv preprint arXiv:2306.17202

2023/6/29

Ryosuke Kojima
Ryosuke Kojima

H-Index: 11

Privacy-Preserving Correlation Coefficient

IEICE TRANSACTIONS on Information and Systems

2023/5/1

Ryosuke Kojima
Ryosuke Kojima

H-Index: 11

Development of a GCN-based model to predict in vitro phototoxicity from the chemical structure and HOMO-LUMO gap

The Journal of Toxicological Sciences

2023

Ryosuke Kojima
Ryosuke Kojima

H-Index: 11

Hiroshi Yamada
Hiroshi Yamada

H-Index: 12

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

arXiv preprint arXiv:2212.10788

2022/12/21

Ryosuke Kojima
Ryosuke Kojima

H-Index: 11

Learning deep input-output stable dynamics

Advances in Neural Information Processing Systems

2022/12/6

Ryosuke Kojima
Ryosuke Kojima

H-Index: 11

Characterizing eye-gaze positions of people with severe motor dysfunction: Novel scoring metrics using eye-tracking and video analysis

Plos one

2022/8/31

Ryosuke Kojima
Ryosuke Kojima

H-Index: 11

Ai-driven synthetic route design incorporated with retrosynthesis knowledge

Journal of chemical information and modeling

2022/3/8

See List of Professors in Ryosuke Kojima University(Kyoto University)