Naoaki ONO

About Naoaki ONO

Naoaki ONO, With an exceptional h-index of 27 and a recent h-index of 16 (since 2020), a distinguished researcher at Nara Institute of Science and Technology, specializes in the field of Deep Learning, Bioinformatics, Systems Biology, Artificial Life, Complex systems.

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

Quantitative evaluation model of variable diagnosis for chest X-ray images using deep learning

Flexible Variational Information Bottleneck: Achieving Diverse Compression with a Single Training

On finding natural antibiotics based on TCM formulae

On QSAR-based cardiotoxicity modeling with the expressiveness-enhanced graph learning model and dual-threshold scheme

Automated sleep staging via parallel frequency-cut attention

Deep Learning Approach for Predicting the Therapeutic Usages of Unani Formulas towards Finding Essential Compounds

Data Science for QSAR for Protease activity

Classification of metabolites by metabolic pathways concerning terpenoids, phenylpropanoids, and polyketide compounds based on machine learning

Naoaki ONO Information

University

Position

Data Science Center (NAIST)

Citations(all)

2255

Citations(since 2020)

935

Cited By

1578

hIndex(all)

27

hIndex(since 2020)

16

i10Index(all)

47

i10Index(since 2020)

28

Email

University Profile Page

Google Scholar

Naoaki ONO Skills & Research Interests

Deep Learning

Bioinformatics

Systems Biology

Artificial Life

Complex systems

Top articles of Naoaki ONO

Quantitative evaluation model of variable diagnosis for chest X-ray images using deep learning

PLOS Digital Health

2024/3/15

Flexible Variational Information Bottleneck: Achieving Diverse Compression with a Single Training

arXiv preprint arXiv:2402.01238

2024/2/2

On finding natural antibiotics based on TCM formulae

Methods

2023/6/1

On QSAR-based cardiotoxicity modeling with the expressiveness-enhanced graph learning model and dual-threshold scheme

Frontiers in Physiology

2023/5/9

Automated sleep staging via parallel frequency-cut attention

IEEE Transactions on Neural Systems and Rehabilitation Engineering

2023/2/9

Deep Learning Approach for Predicting the Therapeutic Usages of Unani Formulas towards Finding Essential Compounds

Life

2023/2/3

Data Science for QSAR for Protease activity

Journal of Computer Aided Chemistry

2023

Naoaki Ono
Naoaki Ono

H-Index: 14

Shigehiko Kanaya
Shigehiko Kanaya

H-Index: 33

Classification of metabolites by metabolic pathways concerning terpenoids, phenylpropanoids, and polyketide compounds based on machine learning

Journal of Computer Aided Chemistry

2023

Molecular Graph Indexes for Assessing Heterogeneity of Chemical Compounds

Journal of Computer Aided Chemistry

2023

Naoaki Ono
Naoaki Ono

H-Index: 14

Shigehiko Kanaya
Shigehiko Kanaya

H-Index: 33

Materials Data-science Approach for Comprehensive Understanding of Organic Thin Film Solar Cells

Journal of Computer Aided Chemistry

2023

Naoaki Ono
Naoaki Ono

H-Index: 14

Shigehiko Kanaya
Shigehiko Kanaya

H-Index: 33

Sleep staging framework with physiologically harmonized sub-networks

Methods

2023/1/1

Pre-training of Molecular GNNs as Conditional Boltzmann Generator

arXiv preprint arXiv:2312.13110

2023/12/20

Naoaki Ono
Naoaki Ono

H-Index: 14

Shigehiko Kanaya
Shigehiko Kanaya

H-Index: 33

Information maximization-based clustering of histopathology images using deep learning

PLOS Digital Health

2023/12/8

Investigating Potential Natural Antibiotics Plants Based on Unani Formula Using Supervised Network Analysis and Machine Learning Approach

2023/12/5

Naoaki Ono
Naoaki Ono

H-Index: 14

Shigehiko Kanaya
Shigehiko Kanaya

H-Index: 33

Utilizing Contrastive Predictive Coding for the Detection of Epilepsy in EEG Data

2023/10/10

Computer-readable recording medium storing information processing program, information processing method, and information processing apparatus

2023/9/7

Variational Autoencoding Molecular Graphs with Denoising Diffusion Probabilistic Model

arXiv preprint arXiv:2307.00623

2023/7/2

Naoaki Ono
Naoaki Ono

H-Index: 14

Shigehiko Kanaya
Shigehiko Kanaya

H-Index: 33

Prediction of Potential Natural Antibiotics based on Jamu Formula Using Machine Learning Approach

2022/11/7

Straightforward Clustering and Identification of Morphological-Level Pancreatic Carcinoma

2022/10/18

Feature Extraction and Unsupervised Clustering of Histopathological Images of Pancreatic Cancer Using Information Maximization

2022/10/18

See List of Professors in Naoaki ONO University(Nara Institute of Science and Technology)