Seiichi Ozawa

About Seiichi Ozawa

Seiichi Ozawa, With an exceptional h-index of 25 and a recent h-index of 16 (since 2020), a distinguished researcher at Kobe University, specializes in the field of Machine Learning, Pattern Recognition, Neural Networks.

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

Computational intelligence in cyber-physical systems and the Internet of Things

Frameworks for Privacy-Preserving Federated Learning

Detecting Malicious JavaScript Using Structure-Based Analysis of Graph Representation

Researcher Network Visualization Using Matrix Researcher2vec

Neural Information Processing: 29th International Conference, ICONIP 2022, Virtual Event, November 22–26, 2022, Proceedings, Part I

Permissioned blockchain-based XGBoost for multi banks fraud detection

Frequency-based enhancement network for efficient super-resolution

eFL-Boost: Efficient federated learning for gradient boosting decision trees

Seiichi Ozawa Information

University

Position

___

Citations(all)

2562

Citations(since 2020)

978

Cited By

1900

hIndex(all)

25

hIndex(since 2020)

16

i10Index(all)

59

i10Index(since 2020)

27

Email

University Profile Page

Google Scholar

Seiichi Ozawa Skills & Research Interests

Machine Learning

Pattern Recognition

Neural Networks

Top articles of Seiichi Ozawa

Title

Journal

Author(s)

Publication Date

Computational intelligence in cyber-physical systems and the Internet of Things

Cesare Alippi

Seiichi Ozawa

2024/1/1

Frameworks for Privacy-Preserving Federated Learning

IEICE TRANSACTIONS on Information and Systems

Le Trieu Phong

Tran Thi Phuong

Lihua Wang

Seiichi Ozawa

2024/1/1

Detecting Malicious JavaScript Using Structure-Based Analysis of Graph Representation

IEEE Access

Muhammad Fakhrur Rozi

Tao Ban

Seiichi Ozawa

Akira Yamada

Takeshi Takahashi

...

2023/9/19

Researcher Network Visualization Using Matrix Researcher2vec

Journal of Advanced Computational Intelligence and Intelligent Informatics

Enna Hirata

Takahiro Yamashita

Seiichi Ozawa

2023/7/20

Neural Information Processing: 29th International Conference, ICONIP 2022, Virtual Event, November 22–26, 2022, Proceedings, Part I

Mohammad Tanveer

Sonali Agarwal

Seiichi Ozawa

Asif Ekbal

Adam Jatowt

2023/4/12

Permissioned blockchain-based XGBoost for multi banks fraud detection

Septiviana Savitri Asrori

Lihua Wang

Seiichi Ozawa

2022/11/22

Frequency-based enhancement network for efficient super-resolution

IEEE Access

Parichehr Behjati

Pau Rodriguez

Carles Fernández Tena

Armin Mehri

F Xavier Roca

...

2022/5/18

eFL-Boost: Efficient federated learning for gradient boosting decision trees

IEEE Access

Fuki Yamamoto

Seiichi Ozawa

Lihua Wang

2022/4/22

Privacy-preserving federated learning for detecting fraudulent financial transactions in japanese banks

Journal of Information Processing

Sachiko Kanamori

Taeko Abe

Takuma Ito

Keita Emura

Lihua Wang

...

2022

Understanding the influence of AST-JS for improving malicious webpage detection

Applied Sciences

Muhammad Fakhrur Rozi

Seiichi Ozawa

Tao Ban

Sangwook Kim

Takeshi Takahashi

...

2022/12/15

Editorial to the special issue on smart cities based on the efforts of the systems, man, and cybernetics society

Chun Sing Lai

Thomas I Strasser

Loi Lei Lai

2021/12/16

An Easily Installed Method of the Estimation of Soybean Yield Based on Meteorological Environments with Regression Analysis

Engineering Proceedings

Akihiro Nitta

Yuya Chonan

Satoshi Hayashi

Takuji Nakamura

Hiroyuki Tsuji

...

2021/11/30

Logo detection with no priors

IEEE Access

Diego A Velazquez

Josep M Gonfaus

Pau Rodriguez

F Xavier Roca

Seiichi Ozawa

...

2021/7/30

Outlier Detection by Privacy-Preserving Ensemble Decision Tree U sing Homomorphic Encryption

Kengo Itokazu

Lihua Wang

Seiichi Ozawa

2021/7/18

Detecting malicious websites based on JavaScript content analysis

Proceedings of the Computer Security Symposium

M Rozi

Tao Ban

Sangwook Kim

Seiichi Ozawa

Takeshi Takahashi

...

2021/6

Detecting Web-Based Attacks with SHAP and Tree Ensemble Machine Learning Methods

Applied Sciences

Samuel Ndichu

Sangwook Kim

Seiichi Ozawa

Tao Ban

Takeshi Takahashi

...

2021/12/22

JStrack: enriching malicious JavaScript detection based on AST graph analysis and attention mechanism

Muhammad Fakhrur Rozi

Tao Ban

Seiichi Ozawa

Sangwook Kim

Takeshi Takahashi

...

2021

A study of IoT malware activities using association rule learning for darknet sensor data

International Journal of Information Security

Seiichi Ozawa

Tao Ban

Naoki Hashimoto

Junji Nakazato

Jumpei Shimamura

2020/2

Personality trait analysis in social networks based on weakly supervised learning of shared images

Applied Sciences

Pau Rodríguez

Diego Velazquez

Guillem Cucurull

Josep M Gonfaus

F Xavier Roca

...

2020/11/18

Port-piece embedding for darknet traffic features and clustering of scan attacks

Shintaro Ishikawa

Seiichi Ozawa

Tao Ban

2020

See List of Professors in Seiichi Ozawa University(Kobe University)

Co-Authors

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