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The Right Direction Needed to Develop White-Box Deep Learning in Radiology, Pathology, and Ophthalmology: A Short Review

Frontiers in robotics and AI, 2019-04, Vol.6, p.24-24

Hayashi, Yoichi

2019

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Black Box Nature of Deep Learning for Digital Pathology: Beyond Quantitative to Qualitative Algorithmic Performances

Artificial Intelligence and Machine Learning for Digital Pathology, 2020, Vol.12090, p.95-101

2020

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Application of a rule extraction algorithm family based on the Re-RX algorithm to financial credit risk assessment from a Pareto optimal perspective

Operations Research Perspectives, 2016, Vol.3 (C), p.32-42

Hayashi, Yoichi

2016

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

Informatics in medicine unlocked, 2020, Vol.19, p.100329, Article 100329

Hayashi, Yoichi

2020

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Detection of Lower Albuminuria Levels and Early Development of Diabetic Kidney Disease Using an Artificial Intelligence-Based Rule Extraction Approach

Diagnostics (Basel), 2019-09, Vol.9 (4), p.133

Hayashi, Yoichi

2019

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Characterization of Symbolic Rules Embedded in Deep DIMLP Networks: A Challenge to Transparency of Deep Learning

Journal of Artificial Intelligence and Soft Computing Research, 2017-10, Vol.7 (4), p.265-286

2017

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Effects of two types of distractions on ratings of perceived exertion and affective response during acute high-intensity cycling exercise for fair cardiorespiratory fitness level in men

The journal of physical fitness and sports medicine, 2024-09, Vol.13 (5), p.145-155

2024

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Volumetric brain tumour detection from MRI using visual saliency

PloS one, 2017-11, Vol.12 (11), p.e0187209-e0187209

2017

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Rule extraction using Recursive-Rule extraction algorithm with J48graft combined with sampling selection techniques for the diagnosis of type 2 diabetes mellitus in the Pima Indian dataset

Informatics in medicine unlocked, 2016, Vol.2, p.92-104

2016

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A Novel GBM Saliency Detection Model Using Multi-Channel MRI

PloS one, 2016-01, Vol.11 (1), p.e0146388-e0146388

2016

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QSVM: A Support Vector Machine for Rule Extraction

Advances in Computational Intelligence, p.276-289

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High Accuracy-priority Rule Extraction for Reconciling Accuracy and Interpretability in Credit Scoring

New generation computing, 2018-10, Vol.36 (4), p.393-418

2018

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

Machine learning and knowledge extraction, 2024-03, Vol.6 (1), p.658-678

2024

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Browser Fingerprint Coding Methods Increasing the Effectiveness of User Identification in the Web Traffic

Journal of Artificial Intelligence and Soft Computing Research, 2020-10, Vol.10 (4), p.243-253

2020

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A Comparison Study on Rule Extraction from Neural Network Ensembles, Boosted Shallow Trees, and SVMs

Applied Computational Intelligence and Soft Computing, 2018-01, Vol.2018 (2018), p.1-20

2018

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Output Voltage Error Compensation for Every Half of a Carrier Period in a Voltage Source Inverter

IEEJ JOURNAL OF INDUSTRY APPLICATIONS, 2019-01, Vol.8 (1), p.41-50

2019

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A Rule Extraction Study from SVM on Sentiment Analysis

Big data and cognitive computing, 2018-03, Vol.2 (1), p.6

2018

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Use of a Deep Belief Network for Small High-Level Abstraction Data Sets Using Artificial Intelligence with Rule Extraction

Neural computation, 2018-12, Vol.30 (12), p.3309-3326

Hayashi, Yoichi

2018

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Emerging Trends in Deep Learning for Credit Scoring: A Review

Electronics (Basel), 2022-10, Vol.11 (19), p.3181

Hayashi, Yoichi

2022

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

Electronics (Basel), 2024-01, Vol.13 (2), p.290

Hayashi, Yoichi

2024

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Synergy effects between grafting and subdivision in Re-RX with J48graft for the diagnosis of thyroid disease

Knowledge-based systems, 2017-09, Vol.131, p.170-182

Hayashi, Yoichi

2017

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Use of a Recursive-Rule eXtraction algorithm with J48graft to achieve highly accurate and concise rule extraction from a large breast cancer dataset

Informatics in medicine unlocked, 2015, Vol.1, p.9-16

2015

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Greedy rule generation from discrete data and its use in neural network rule extraction

Neural networks, 2008-09, Vol.21 (7), p.1020-1028

2008

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Accuracy of rule extraction using a recursive-rule extraction algorithm with continuous attributes combined with a sampling selection technique for the diagnosis of liver disease

Informatics in medicine unlocked, 2016, Vol.5, p.26-38

2016

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Does Deep Learning Work Well for Categorical Datasets with Mainly Nominal Attributes?

Electronics (Basel), 2020-11, Vol.9 (11), p.1966

Hayashi, Yoichi

2020

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The Right Direction Needed to Develop White-Box Deep Learning in Radiology, Pathology, and Ophthalmology: A Short Review

Black Box Nature of Deep Learning for Digital Pathology: Beyond Quantitative to Qualitative Algorithmic Performances

Application of a rule extraction algorithm family based on the Re-RX algorithm to financial credit risk assessment from a Pareto optimal perspective

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

Detection of Lower Albuminuria Levels and Early Development of Diabetic Kidney Disease Using an Artificial Intelligence-Based Rule Extraction Approach

Characterization of Symbolic Rules Embedded in Deep DIMLP Networks: A Challenge to Transparency of Deep Learning

Effects of two types of distractions on ratings of perceived exertion and affective response during acute high-intensity cycling exercise for fair cardiorespiratory fitness level in men

Volumetric brain tumour detection from MRI using visual saliency

Rule extraction using Recursive-Rule extraction algorithm with J48graft combined with sampling selection techniques for the diagnosis of type 2 diabetes mellitus in the Pima Indian dataset

A Novel GBM Saliency Detection Model Using Multi-Channel MRI

QSVM: A Support Vector Machine for Rule Extraction

High Accuracy-priority Rule Extraction for Reconciling Accuracy and Interpretability in Credit Scoring

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

Browser Fingerprint Coding Methods Increasing the Effectiveness of User Identification in the Web Traffic

A Comparison Study on Rule Extraction from Neural Network Ensembles, Boosted Shallow Trees, and SVMs

Output Voltage Error Compensation for Every Half of a Carrier Period in a Voltage Source Inverter

A Rule Extraction Study from SVM on Sentiment Analysis

Use of a Deep Belief Network for Small High-Level Abstraction Data Sets Using Artificial Intelligence with Rule Extraction

Emerging Trends in Deep Learning for Credit Scoring: A Review

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

Synergy effects between grafting and subdivision in Re-RX with J48graft for the diagnosis of thyroid disease

Use of a Recursive-Rule eXtraction algorithm with J48graft to achieve highly accurate and concise rule extraction from a large breast cancer dataset

Greedy rule generation from discrete data and its use in neural network rule extraction

Accuracy of rule extraction using a recursive-rule extraction algorithm with continuous attributes combined with a sampling selection technique for the diagnosis of liver disease

Does Deep Learning Work Well for Categorical Datasets with Mainly Nominal Attributes?

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