41 citations · 50 across the 3 of their papers we have counts for
3 papers
Unraveling the Autism spectrum heterogeneity: Insights from ABIDE I Database using data/model-driven permutation testing approaches
F. J. Alcaide, I. A. Illan, J. Ramirez +1
Autism Spectrum Condition (ASC) is a neurodevelopmental condition characterized by impairments in communication, social interaction and restricted or repetitive behaviors. Extensiv…
Is K-fold cross validation the best model selection method for Machine Learning?
Juan M Gorriz, R. Martin Clemente, F Segovia +3
As a technique that can compactly represent complex patterns, machine learning has significant potential for predictive inference. K-fold cross-validation (CV) is the most common a…
A hypothesis-driven method based on machine learning for neuroimaging data analysis
JM Gorriz, R. Martin-Clemente, C. G. Puntonet +3
There remains an open question about the usefulness and the interpretation of Machine learning (MLE) approaches for discrimination of spatial patterns of brain images between sampl…