“…For instance, Jaramillo-Garzon et al [20] modeled time-frequency representations by means of support vector regression, and the distance between regressions was calculated through dissimilarity measures based on dot products for the classification of phonocardiographic recordings. Silva-Mata et al [21] combined the dissimilarity representation with the classical Partial Least Square regression model for the recognition of substances and their chemical-physical properties in biochemical data. Despite these few works, we argue that the dissimilarity representation has not yet been deeply studied in the framework of regression problems.…”