20 citations · 56 across the 4 of their papers we have counts for
5 papers
An index of effective number of variables for uncertainty and reliability analysis in model selection problems
Luca Martino, Eduardo Morgado, Roberto San Millán-Castillo
An index of an effective number of variables (ENV) is introduced for model selection in nested models. This is the case, for instance, when we have to decide the order of a polynom…
Feature Selection via Graph Topology Inference for Soundscape Emotion Recognition
Samuel Rey, Luca Martino, Roberto San Millan +1
Research on soundscapes has shifted the focus of environmental acoustics from noise levels to the perception of sounds, incorporating contextual factors. Soundscape emotion recogni…
Spectral information criterion for automatic elbow detection
L. Martino, R. San Millan-Castillo, E. Morgado
We introduce a generalized information criterion that contains other well-known information criteria, such as Bayesian information Criterion (BIC) and Akaike information criterion…
Universal and Automatic Elbow Detection for Learning the Effective Number of Components in Model Selection Problems
E. Morgado, L. Martino, R. San Millan-Castillo
We design a Universal Automatic Elbow Detector (UAED) for deciding the effective number of components in model selection problems. The relationship with the information criteria wi…
An exhaustive variable selection study for linear models of soundscape emotions: rankings and Gibbs analysis
R. San Millán-Castillo, L. Martino, E. Morgado +1
In the last decade, soundscapes have become one of the most active topics in Acoustics, providing a holistic approach to the acoustic environment, which involves human perception a…