2 citations · 4 across the 4 of their papers we have counts for
4 papers
Towards improving Alzheimer's intervention: a machine learning approach for biomarker detection through combining MEG and MRI pipelines
Alwani Liyana Ahmad, Jose Sanchez-Bornot, Roberto C. Sotero +3
MEG are non invasive neuroimaging techniques with excellent temporal and spatial resolution, crucial for studying brain function in dementia and Alzheimer Disease. They identify ch…
A Machine Learning Approach for Identifying Anatomical Biomarkers of Early Mild Cognitive Impairment
Alwani Liyana Ahmad, Jose Sanchez-Bornot, Roberto C. Sotero +3
Alzheimer Disease poses a significant challenge, necessitating early detection for effective intervention. MRI is a key neuroimaging tool due to its ease of use and cost effectiven…
R2 Indicator and Deep Reinforcement Learning Enhanced Adaptive Multi-Objective Evolutionary Algorithm
Farajollah Tahernezhad-Javazm, Debbie Rankin, Naomi Du Bois +2
Choosing an appropriate optimization algorithm is essential to achieving success in optimization challenges. Here we present a new evolutionary algorithm structure that utilizes a…
Deep Predictive Coding with Bi-directional Propagation for Classification and Reconstruction
Senhui Qiu, Saugat Bhattacharyya, Damien Coyle +1
This paper presents a new learning algorithm, termed Deep Bi-directional Predictive Coding (DBPC) that allows developing networks to simultaneously perform classification and recon…