ProfessorsProfessors of Meiji UniversityTsutomu Sasao

Tsutomu Sasao

Meiji University

H-index: 45

Asia-Japan

About Tsutomu Sasao

Tsutomu Sasao, With an exceptional h-index of 45 and a recent h-index of 15 (since 2020), a distinguished researcher at Meiji University, specializes in the field of Logic synthesis, Multiple-valued logic, Logic Design, Switching Theory.

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

Easily reconstructable logic functions

Data Mining and Machine Learning

Minimization of the Number of Variables: Exact Method

Decomposition-Based Representation of Symmetric Multiple-Valued Functions

Two-Class Functions

Linear Decomposition

Data mining using multi-valued logic minimization

Minimization of the Number of Variables: Heuristic Method

Tsutomu Sasao Information

University	Meiji University
Position	Visiting Professor
Citations(all)	8914
Citations(since 2020)	1180
Cited By	8098
hIndex(all)	45
hIndex(since 2020)	15
i10Index(all)	192
i10Index(since 2020)	26
Email	Access Email
University Profile Page	Meiji University
Google Scholar	View Google Scholar Profile

Tsutomu Sasao Skills & Research Interests

Logic synthesis

Multiple-valued logic

Logic Design

Switching Theory

Top articles of Tsutomu Sasao

Title	Journal	Author(s)	Publication Date
Easily reconstructable logic functions		Tsutomu Sasao	2023/5/22
Data Mining and Machine Learning		Tsutomu Sasao	2023/7/15
Minimization of the Number of Variables: Exact Method		Tsutomu Sasao	2023/7/15
Decomposition-Based Representation of Symmetric Multiple-Valued Functions		Shinobu Nagayama Tsutomu Sasao Jon T Butler	2023/5/22
Two-Class Functions		Tsutomu Sasao	2023/7/15
Linear Decomposition		Tsutomu Sasao	2023/7/15
Data mining using multi-valued logic minimization		Tsutomu Sasao	2023/5/22
Minimization of the Number of Variables: Heuristic Method		Tsutomu Sasao	2023/7/15
Easily Reconstructable Functions		Tsutomu Sasao	2023/7/15
A logical method to predict outcomes after coronary artery bypass grafting		Tsutomu Sasao Anders Holmgren Patrik Eklund	2023/5/22
Classification Functions for Machine Learning and Data Mining		Tsutomu Sasao	2023/7/14
References on Classification Functions		Tsutomu Sasao	2023/7/15
On the distribution of sensitivities of symmetric Boolean functions	arXiv preprint arXiv:2306.14401	Jon T Butler Tsutomu Sasao Shinobu Nagayama	2023/6/26
Functions with Continuous Variables		Tsutomu Sasao	2023/7/15
Functions with Multi-valued Inputs		Tsutomu Sasao	2023/7/15
A Fast Method for Exactly Optimum Linear Decomposition of Index Generation Functions.	Journal of Multiple-Valued Logic & Soft Computing	Shinobu Nagayama Tsutomu Sasao Jon T Butler	2022/3/1
Index generation functions		Tsutomu Sasao	2022/5/31
LUT Cascade Realization of Threshold Functions and Its Application to Implementation of Ternary Weight Neural Networks		Tsutomu Sasao	2022/5/18
On decision diagrams for maximally asymmetric functions		Shinobu Nagayama Tsutomu Sasao Jon T Butler	2022/5/18
A Method To Generate Rules From Examples		Tsutomu Sasao	2022/5/18