Shigeo Abe

Kobe University

H-index: 40

Asia-Japan

About Shigeo Abe

Shigeo Abe, With an exceptional h-index of 40 and a recent h-index of 16 (since 2020), a distinguished researcher at Kobe University, specializes in the field of Fuzzy Systems, Neural Networks, Pattern Recognition, Support Vector Machines.

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

Training Minimal Complexity Support Vector Machines with Multiple Kernels

Do minimal complexity least squares support vector machines work?

Soft upper-bound support vector machines

Soft upper-bound minimal complexity LP SVMs

Minimal complexity support vector machines

Minimal complexity support vector machines for pattern classification

Shigeo Abe Information

University	Kobe University
Position	Emeritus Professor
Citations(all)	8635
Citations(since 2020)	1256
Cited By	7686
hIndex(all)	40
hIndex(since 2020)	16
i10Index(all)	86
i10Index(since 2020)	24
Email	Access Email
University Profile Page	Kobe University
Google Scholar	View Google Scholar Profile

Shigeo Abe Skills & Research Interests

Fuzzy Systems

Neural Networks

Pattern Recognition

Support Vector Machines

Top articles of Shigeo Abe

Title	Journal	Author(s)	Publication Date
Training Minimal Complexity Support Vector Machines with Multiple Kernels		Shigeo Abe	2023/10/1
Do minimal complexity least squares support vector machines work?		Shigeo Abe	2022/11/11
Soft upper-bound support vector machines		Shigeo Abe	2022/7/18
Soft upper-bound minimal complexity LP SVMs		Shigeo Abe	2021/7/18
Minimal complexity support vector machines		Shigeo Abe	2020
Minimal complexity support vector machines for pattern classification	Computers	Shigeo Abe	2020/11/4