83 citations · 232 across the 26 of their papers we have counts for
4 papers · 1 filter
Pain level and pain-related behaviour classification using GRU-based sparsely-connected RNNs
Mohammad Mahdi Dehshibi, Temitayo Olugbade, Fernando Diaz-de-Maria +2
There is a growing body of studies on applying deep learning to biometrics analysis. Certain circumstances, however, could impair the objective measures and accuracy of the propose…
Neuropunk Revolution. Hacking Cognitive Systems towards Cyborgs 3.0
Max Talanov, Jordi Vallverdu, Andrew Adamatzky +18
This work is dedicated to the review and perspective of the new direction that we call "Neuropunk revolution" resembling the cultural phenomenon of cyberpunk. This new phenomenon h…
A multi-stream convolutional neural network for classification of progressive MCI in Alzheimer's disease using structural MRI images
Mona Ashtari-Majlan, Abbas Seifi, Mohammad Mahdi Dehshibi
Early diagnosis of Alzheimer's disease and its prodromal stage, also known as mild cognitive impairment (MCI), is critical since some patients with progressive MCI will develop the…
ADVISE: ADaptive Feature Relevance and VISual Explanations for Convolutional Neural Networks
Mohammad Mahdi Dehshibi, Mona Ashtari-Majlan, Gereziher Adhane +1
To equip Convolutional Neural Networks (CNNs) with explainability, it is essential to interpret how opaque models take specific decisions, understand what causes the errors, improv…