Yoichi Hayashi

About Yoichi Hayashi

Yoichi Hayashi, With an exceptional h-index of 42 and a recent h-index of 20 (since 2020), a distinguished researcher at Meiji University, specializes in the field of Deep Learning, Explainable AI, Big Data Analytics, Medical Informatics, Rule Extraction.

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

Why Do Tree Ensemble Approximators Not Outperform the Recursive-Rule eXtraction Algorithm?

An Investigation of the Relationship between the Purpose of Exercise and Attentional Focus and Cognitive Strategy during Aerobic Exercise

Explainable artificial intelligence (XAI) 2.0: A manifesto of open challenges and interdisciplinary research directions

Prospects for Revolutionary and Popular AI Technology following the Launch of ChatGPT in 2023

Optimization of effective electron mass in strained silicon nanosheets

The influence of internally focus of attention during vigorous-intensity aerobic exercise for improving health status.

Emerging trends in deep learning for credit scoring: A review

Use of an artificial intelligence‐based rule extraction approach to predict an emergency cesarean section

Yoichi Hayashi Information

University

Position

Head of AI Lab. Professor of Computer Science

Citations(all)

7879

Citations(since 2020)

1685

Cited By

8363

hIndex(all)

42

hIndex(since 2020)

20

i10Index(all)

118

i10Index(since 2020)

47

Email

University Profile Page

Google Scholar

Yoichi Hayashi Skills & Research Interests

Deep Learning

Explainable AI

Big Data Analytics

Medical Informatics

Rule Extraction

Top articles of Yoichi Hayashi

Why Do Tree Ensemble Approximators Not Outperform the Recursive-Rule eXtraction Algorithm?

Machine Learning and Knowledge Extraction

2024/3/16

Yoichi Hayashi
Yoichi Hayashi

H-Index: 23

An Investigation of the Relationship between the Purpose of Exercise and Attentional Focus and Cognitive Strategy during Aerobic Exercise

The Journal of Education and Health Science

2024/2/29

Yoichi Hayashi
Yoichi Hayashi

H-Index: 23

Prospects for Revolutionary and Popular AI Technology following the Launch of ChatGPT in 2023

2024/1/8

Yoichi Hayashi
Yoichi Hayashi

H-Index: 23

Optimization of effective electron mass in strained silicon nanosheets

AIP Advances

2024/1/1

The influence of internally focus of attention during vigorous-intensity aerobic exercise for improving health status.

2023/3/31

Yoichi Hayashi
Yoichi Hayashi

H-Index: 23

Emerging trends in deep learning for credit scoring: A review

2022/10/3

Yoichi Hayashi
Yoichi Hayashi

H-Index: 23

Use of an artificial intelligence‐based rule extraction approach to predict an emergency cesarean section

International Journal of Gynecology & Obstetrics

2022/6

Yoichi Hayashi
Yoichi Hayashi

H-Index: 23

Performance analysis of rough set–based hybrid classification systems in the case of missing values

Journal of Artificial Intelligence and Soft Computing Research

2021/10/1

Yoichi Hayashi
Yoichi Hayashi

H-Index: 23

Hardware implementation of a Takagi-Sugeno neuro-fuzzy system optimized by a population algorithm

Journal of Artificial Intelligence and Soft Computing Research

2021/7/1

Feasibility of virtual surgical simulation in the head and neck region for soft tissue reconstruction using free flap: a comparison of preoperative and postoperative volume …

International Journal of Oral and Maxillofacial Surgery

2021/3/1

Does deep learning work well for categorical datasets with mainly nominal attributes?

Electronics

2020/11/21

Yoichi Hayashi
Yoichi Hayashi

H-Index: 23

Signature Partitioning Using Selected Population-Based Algorithms

2020/10/7

Visual Hybrid Recommendation Systems Based on the Content-Based Filtering

2020/10/7

Piotr Duda
Piotr Duda

H-Index: 15

Yoichi Hayashi
Yoichi Hayashi

H-Index: 23

Browser fingerprint coding methods increasing the effectiveness of user identification in the web traffic

Journal of Artificial Intelligence and Soft Computing Research

2020/10/1

Marcin Gabryel
Marcin Gabryel

H-Index: 14

Yoichi Hayashi
Yoichi Hayashi

H-Index: 23

One-dimensional convolutional neural networks with feature selection for highly concise rule extraction from credit scoring datasets with heterogeneous attributes

Electronics

2020/8/16

Yoichi Hayashi
Yoichi Hayashi

H-Index: 23

Exploration of Effective Initiatives for Improving Children’s Physical Fitness: Practical Activities of the Board of Education and Initiatives at Schools

スポーツ産業学研究

2020

Minoru Yamada
Minoru Yamada

H-Index: 17

Yoichi Hayashi
Yoichi Hayashi

H-Index: 23

ROLE OF COLON CAPSULE ENDOSCOPY IN THE MONITORING OF ULCERATIVE COLITIS (WITH A VIDEO)

GASTROENTEROLOGICAL ENDOSCOPY

2020

Black box nature of deep learning for digital pathology: beyond quantitative to qualitative algorithmic performances

Artificial intelligence and machine learning for digital pathology: state-of-the-art and future challenges

2020

Yoichi Hayashi
Yoichi Hayashi

H-Index: 23

New unified insights on deep learning in radiological and pathological images: Beyond quantitative performances to qualitative interpretation

Informatics in Medicine Unlocked

2020/1/1

Yoichi Hayashi
Yoichi Hayashi

H-Index: 23

See List of Professors in Yoichi Hayashi University(Meiji University)

Co-Authors

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