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Neural source/sink phase connectivity in developmental dyslexia by means of interchannel causality
In the sink scenario, our classifier obtains 0. 84 and 0. 88 accuracy and 0. 87 and 0. 93 AUC for the Theta and Gamma bands, respectively.
A hypothesis-driven method based on machine learning for neuroimaging data analysis
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 samples or activation states.
Uncertainty-driven ensembles of deep architectures for multiclass classification. Application to COVID-19 diagnosis in chest X-ray images
Respiratory diseases kill million of people each year.
A Neural Approach to Ordinal Regression for the Preventive Assessment of Developmental Dyslexia
Developmental Dyslexia (DD) is a learning disability related to the acquisition of reading skills that affects about 5% of the population.
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