An Exhaustive Variable Selection Study for Linear Models of Soundscape Emotions: Rankings and Gibbs Analysis. - Roberto San Millán-Castillo; Luca Martino; Eduardo Morgado; Fernando Llorente 001 (IEEE ACM Trans. Audio Speech Lang. Process., 2022)

Universal and automatic elbow detection for learning the effective number of components in model selection problems. - Eduardo Morgado; Luca Martino; Roberto San Millán-Castillo (Digit. Signal Process., 2023)

Spectral information criterion for automatic elbow detection. - Luca Martino; Roberto San Millán-Castillo; Eduardo Morgado (Expert Syst. Appl., 2023)

A Variable Selection Analysis for Soundscape Emotion Modeling Using Decision Tree Regression and Modern Information Criteria. - Roberto San Millán-Castillo; Luca Martino; Eduardo Morgado (IEEE Access, 2024)

An index of effective number of variables for uncertainty and reliability analysis in model selection problems. - Luca Martino; Eduardo Morgado; Roberto San Millán-Castillo (Signal Process., 2025)