Tipo de publicación: other

Tiled sparse coding in eigenspaces for the COVID-19 diagnosis in chest X-ray images

deep learning in current neuroimaging: A multivariate approach with power and type I error control but arguable generalization ability

Uncertainty-driven ensembles of deep architectures for multiclass classification.Application to COVID-19 diagnosis in chest X-ray images

Atlas-based classification algorithms for identification of informative brain regions in fMRI data

Influence of activation pattern estimates and statistical significance tests in fMRI decoding analysis

A HYPOTHESIS-DRIVEN METHOD BASED ON MACHINE LEARNING FOR NEUROIMAGING DATA ANALYSIS

An Algorithm for Belief Rule Induction with Partial Ignorance

A Belief Rule-Based Classification System Using Fuzzy Unordered Rule Induction Algorithm

Z-Number-Valued Rule-Based Classification System

Independent Component Analysis of SPECT Images to Assist the Alzheimer’s Disease Diagnosis