Kohei Shiomoto

Kohei Shiomoto

Tokyo City University

H-index: 31

Asia-Japan

About Kohei Shiomoto

Kohei Shiomoto, With an exceptional h-index of 31 and a recent h-index of 13 (since 2020), a distinguished researcher at Tokyo City University, specializes in the field of Internet, traffic analysis, optical networking, network management.

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

Evaluation of Effectiveness of Self-Supervised Learning in Chest X-Ray Imaging to Reduce Annotated Images

Network intrusion detection system based on an adversarial auto-encoder with few labeled training samples

Accelerating network softwarization in the cognitive age

Performance Change with the Ratio of Training Data A Case Study on the Binary Classification of COVID-19 Chest X-Ray by using Convolutional Neural Networks

A Study on Features for Internet Security Analysis Using Machine Learning

Arachtecture separating storage and computing based on NVMe over Fabrics

A Study on Genetic Trajectory Search Engine For Large-Scale Human Data

On the performance of sorting out invalid jobs in scheduling using the policy gradient method for deadline-aware jobs

Kohei Shiomoto Information

University

Position

___

Citations(all)

4342

Citations(since 2020)

732

Cited By

3968

hIndex(all)

31

hIndex(since 2020)

13

i10Index(all)

88

i10Index(since 2020)

17

Email

University Profile Page

Tokyo City University

Google Scholar

View Google Scholar Profile

Kohei Shiomoto Skills & Research Interests

Internet

traffic analysis

optical networking

network management

Top articles of Kohei Shiomoto

Title

Journal

Author(s)

Publication Date

Evaluation of Effectiveness of Self-Supervised Learning in Chest X-Ray Imaging to Reduce Annotated Images

Journal of Imaging Informatics in Medicine

Kuniki Imagawa

Kohei Shiomoto

2024/3/8

Network intrusion detection system based on an adversarial auto-encoder with few labeled training samples

Journal of Network and Systems Management

Kohei Shiomoto

2023/1

Accelerating network softwarization in the cognitive age

Kohei Shiomoto

Young‐Tak Kim

Christian Esteve Rothenberg

Barbara Martini

Eiji Oki

2023/7

Performance Change with the Ratio of Training Data A Case Study on the Binary Classification of COVID-19 Chest X-Ray by using Convolutional Neural Networks

Kuniki Imagawa

Kohei Shiomoto

2023/6/14

A Study on Features for Internet Security Analysis Using Machine Learning

IEICE Proceedings Series

Tomoaki Koyama

Kohei Shiomoto

2023/11/29

Arachtecture separating storage and computing based on NVMe over Fabrics

IEICE Technical Report; IEICE Tech. Rep.

Tomoya Takahashi

Kohei Shiomoto

2023/6/1

A Study on Genetic Trajectory Search Engine For Large-Scale Human Data

IEICE Proceedings Series

Rei Koyama

Kohei Shiomoto

2023/11/29

On the performance of sorting out invalid jobs in scheduling using the policy gradient method for deadline-aware jobs

IEICE Technical Report; IEICE Tech. Rep.

Tatusya Sagisaka

Kohei Shiomoto

Takashi Kurimoto

2023/5/11

On the performance of screening invalid jobs using the policy gradient method in deadline-aware data transfer scheduling

Tatsuya Sagisaka

Kohei Shiomoto

Takashi Kurimoto

2023/10/4

A novel network traffic prediction method based on a Bayesian network model for establishing the relationship between traffic and population

Annals of Telecommunications

Kohei Shiomoto

Tatsuya Otoshi

Masayuki Murata

2023/2

Evaluation of Effectiveness of Pre-Training Method in Chest X-Ray Imaging Using Vision Transformer

Available at SSRN 4507834

Kuniki Imagawa

Kohei Shiomoto

2023/7/18

Performance change with the number of training data: A case study on the binary classification of COVID-19 chest X-ray by using convolutional neural networks

Computers in Biology and Medicine

Kuniki Imagawa

Kohei Shiomoto

2022/3/1

Network SoftwarizatioN aNd MaNageMeNt

IEEE Communications Magazine

Ralf Kundel

Fridolin Siegmund

Rhaban Hark

Amr Rizk

Boris Koldehofe

...

2022/2

Prototype of IoT-based River Flood Monitoring and Evaluation

IEICE Technical Report; IEICE Tech. Rep.

Yoshiyuki Shinji

Kohei Shiomoto

2022/11/17

Qos in iot-based river flood monitoring system using mqtt brokers in tandem connection

Yoshiyuki Shinji

Kohei Shiomoto

2022/10/26

Decentralized Identifier and Access Control Based Architecture for Privacy-Sensitive Data Distribution Service

Reiya Oku

Kohei Shiomoto

Yoshihiro Ohba

2022/10/26

An annotating method of GPS trajectory data for human mobility analysis in urban area

Kohei Shiomoto

Satoru Ohgaki

2022/5/16

End-to-End Management of All Optical Disaggregated Network and Applications with Cloud Native Environment for the Smart World Network Infrastructure

Yusuke Hirota

Shinya Nakamura

Kohei Shiomoto

Hyde Sugiyama

Noboru Yoshikane

...

2021/7/3

Policy gradient-based deep reinforcement learning for deadline-aware transfer over wide area networks

Kohei Shiomoto

Takashi Kurimoto

2021/6/28

A network and computing resource management method based on population prediction in mobile networks

Kohei Shiomoto

Tatsuya Otoshi

Masayuki Murata

2021/10/6

See List of Professors in Kohei Shiomoto University(Tokyo City University)