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Experimental Brain Research|May 11, 2026
Reliability of force production based on the sense of effort at different force levelsRyosuke Sugaya, Yoichi HayashiPerceptual 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 HayashiNeural Computation|October 14, 2018
Use of a Deep Belief Network for Small High-Level Abstraction Data Sets Using Artificial Intelligence with Rule ExtractionYoichi HayashiDiagnostics (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 HayashiFrontiers 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 HayashiComputers in Biology and Medicine|April 5, 2002
Combining neural network predictions for medical diagnosisYoichi Hayashi, Rudy SetionoIEEE/ACM Transactions on Computational Biology and Bioinformatics|November 13, 2010
Genetic networks and soft computingSushmita Mitra, Ranajit Das, Yoichi HayashiPlos One|November 3, 2017
Volumetric brain tumour detection from MRI using visual saliencySomosmita Mitra, Subhashis Banerjee, Yoichi HayashiInternational Journal of Gynaecology and Obstetrics: the Official Organ of the International Federation of Gynaecology and Obstetrics|August 20, 2021
Use of an artificial intelligence-based rule extraction approach to predict an emergency cesarean sectionYoko Nagayasu, Daisuke Fujita, Masahide Ohmichi, et al.Neural Networks : the Official Journal of the International Neural Network Society|April 30, 2008
Greedy rule generation from discrete data and its use in neural network rule extractionKoichi Odajima, Yoichi Hayashi, Gong Tianxia, et al.Pageof 4