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Yoichi Hayashi

Showing results (1-10 of 34) with videos related to

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Neural Computation|October 14, 2018
Use of a Deep Belief Network for Small High-Level Abstraction Data Sets Using Artificial Intelligence with Rule ExtractionYoichi Hayashi
Diagnostics (Basel, Switzerland)|October 2, 2019
Detection of Lower Albuminuria Levels and Early Development of Diabetic Kidney Disease Using an Artificial Intelligence-Based Rule Extraction ApproachYoichi Hayashi
Frontiers in Robotics and AI|January 27, 2021
The Right Direction Needed to Develop White-Box Deep Learning in Radiology, Pathology, and Ophthalmology: A Short ReviewYoichi Hayashi
Experimental Brain Research|May 11, 2026
Reliability of force production based on the sense of effort at different force levelsRyosuke Sugaya, Yoichi Hayashi
Computers in Biology and Medicine|April 5, 2002
Combining neural network predictions for medical diagnosisYoichi Hayashi, Rudy Setiono
Perceptual and Motor Skills|November 27, 2025
Quantifying Individual Differences in the Relationship Between Intended and Actual Force Across Repeated Trials With External FeedbackRyosuke Sugaya, Yoichi Hayashi
IEEE/ACM Transactions on Computational Biology and Bioinformatics|November 13, 2010
Genetic networks and soft computingSushmita Mitra, Ranajit Das, Yoichi Hayashi
Nihon Rinsho. Japanese Journal of Clinical Medicine|October 3, 2002
[Disorder of trace elements and diabetes mellitus]Yoichi Hayashi, Akira Asaoka, Yasuyuki Arakawa
Nihon Rinsho. Japanese Journal of Clinical Medicine|October 3, 2002
[Subjective symptoms and objective symptoms on diagnosis of diabetes mellitus]Yoichi Hayashi, Norikazu Ogiwara, Yasuyuki Arakawa
Plos One|November 3, 2017
Volumetric brain tumour detection from MRI using visual saliencySomosmita Mitra, Subhashis Banerjee, Yoichi Hayashi
Pageof 4

Showing results (1-10 of 34) with videos related to

Sort By:
Pageof 4
Neural Computation|October 14, 2018
Use of a Deep Belief Network for Small High-Level Abstraction Data Sets Using Artificial Intelligence with Rule ExtractionYoichi Hayashi
Diagnostics (Basel, Switzerland)|October 2, 2019
Detection of Lower Albuminuria Levels and Early Development of Diabetic Kidney Disease Using an Artificial Intelligence-Based Rule Extraction ApproachYoichi Hayashi
Frontiers in Robotics and AI|January 27, 2021
The Right Direction Needed to Develop White-Box Deep Learning in Radiology, Pathology, and Ophthalmology: A Short ReviewYoichi Hayashi
Experimental Brain Research|May 11, 2026
Reliability of force production based on the sense of effort at different force levelsRyosuke Sugaya, Yoichi Hayashi
Computers in Biology and Medicine|April 5, 2002
Combining neural network predictions for medical diagnosisYoichi Hayashi, Rudy Setiono
Perceptual and Motor Skills|November 27, 2025
Quantifying Individual Differences in the Relationship Between Intended and Actual Force Across Repeated Trials With External FeedbackRyosuke Sugaya, Yoichi Hayashi
IEEE/ACM Transactions on Computational Biology and Bioinformatics|November 13, 2010
Genetic networks and soft computingSushmita Mitra, Ranajit Das, Yoichi Hayashi
Nihon Rinsho. Japanese Journal of Clinical Medicine|October 3, 2002
[Disorder of trace elements and diabetes mellitus]Yoichi Hayashi, Akira Asaoka, Yasuyuki Arakawa
Nihon Rinsho. Japanese Journal of Clinical Medicine|October 3, 2002
[Subjective symptoms and objective symptoms on diagnosis of diabetes mellitus]Yoichi Hayashi, Norikazu Ogiwara, Yasuyuki Arakawa
Plos One|November 3, 2017
Volumetric brain tumour detection from MRI using visual saliencySomosmita Mitra, Subhashis Banerjee, Yoichi Hayashi
Pageof 4