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12/22/2020
Objective Evaluation of Deep Uncertainty Predictions for COVID-19 Detection
Deep neural networks (DNNs) have been widely applied for detecting COVID...
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08/23/2020
Handling of uncertainty in medical data using machine learning and probability theory techniques: A review of 30 years (1991-2020)
Understanding data and reaching valid conclusions are of paramount impor...
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07/26/2020
An Uncertainty-aware Transfer Learning-based Framework for Covid-19 Diagnosis
The early and reliable detection of COVID-19 infected patients is essent...
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07/07/2020
SpinalNet: Deep Neural Network with Gradual Input
Over the past few years, deep neural networks (DNNs) have garnered remar...
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07/02/2020
Deep Learning for Neuroimaging-based Diagnosis and Rehabilitation of Autism Spectrum Disorder: A Review
Accurate diagnosis of Autism Spectrum Disorder (ASD) is essential for ma...
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07/02/2020
Epileptic seizure detection using deep learning techniques: A Review
A variety of screening approaches have been proposed to diagnose epilept...
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12/30/2019