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

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

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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 von Hayashi, Yoichi

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

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

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Characterization of Symbolic Rules Embedded in Deep DIMLP Networks: A Challenge to Transparency of Deep Learning von Bologna, Guido, Hayashi, Yoichi

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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 i... von Wakatabe, Shun, Hayashi, Yoichi

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Volumetric brain tumour detection from MRI using visual saliency von Mitra, Somosmita, Banerjee, Subhashis, Hayashi, Yoichi

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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... von Hayashi, Yoichi, Yukita, Shonosuke

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QSVM: A Support Vector Machine for Rule Extraction von Bologna, Guido, Hayashi, Yoichi

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A Novel GBM Saliency Detection Model Using Multi-Channel MRI von Banerjee, Subhashis, Mitra, Sushmita, Shankar, B Uma, Hayashi, Yoichi

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High Accuracy-priority Rule Extraction for Reconciling Accuracy and Interpretability in Credit Scoring von Hayashi, Yoichi, Oishi, Tatsuhiro

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Why Do Tree Ensemble Approximators Not Outperform the Recursive-Rule eXtraction Algorithm? von Onishi, Soma, Nishimura, Masahiro, Fujimura, Ryota, Hayashi, Yoichi

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Browser Fingerprint Coding Methods Increasing the Effectiveness of User Identification in the Web Traffic von Gabryel, Marcin, Grzanek, Konrad, Hayashi, Yoichi

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A Comparison Study on Rule Extraction from Neural Network Ensembles, Boosted Shallow Trees, and SVMs von Bologna, Guido, Hayashi, Yoichi

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Output Voltage Error Compensation for Every Half of a Carrier Period in a Voltage Source Inverter von Daido, Tetsuji, Hayashi, Yoichi

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A Rule Extraction Study from SVM on Sentiment Analysis von Bologna, Guido, Hayashi, Yoichi

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

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Emerging Trends in Deep Learning for Credit Scoring: A Review von Hayashi, Yoichi

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Prospects for Revolutionary and Popular AI Technology following the Launch of ChatGPT in 2023 von Hayashi, Yoichi

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