An index of effective number of variables for uncertainty and reliability analysis in model selection problems

Signal Processing - 1/2/2025

10.1016/j.sigpro.2024.109735 View at source

• ISSN 01651684

• iMarina

Impact of Depopulation on Forest Fires in Spain: Primary School Distribution as a Potential Socioeconomic Indicator

Forests - 1/11/2024

10.3390/f15111938 View at source

• ISSN 19994907

• iMarina

A Variable Selection Analysis for Soundscape Emotion Modeling Using Decision Tree Regression and Modern Information Criteria

Ieee Access (p. 92622-92634) - 1/1/2024

10.1109/access.2024.3422832 View at source

• ISSN 21693536

• iMarina

Universal and automatic elbow detection for learning the effective number of components in model selection problems

Digital Signal Processing - 15/6/2023

10.1016/j.dsp.2023.104103 View at source

• ISSN 10512004

• iMarina

Spectral information criterion for automatic elbow detection

Expert Systems With Applications - 30/11/2023

10.1016/j.eswa.2023.120705 View at source

• ISSN 09574174

• iMarina

Engagement capstone projects: A collaborative approach to a case study in psychoacoustics

Journal Of The Acoustical Society Of America (p. 2183-2186) - 1/10/2022

10.1121/10.0014693 View at source

• ISSN 15208524

• iMarina

An Exhaustive Variable Selection Study for Linear Models of Soundscape Emotions: Rankings and Gibbs Analysis

Ieee-Acm Transactions On Audio Speech And Language Processing (p. 2460-2474) - 1/1/2022

10.1109/taslp.2022.3192664 View at source

• ISSN 15587916

• iMarina

On the Use of Decision Tree Regression for Predicting Vibration Frequency Response of Handheld Probes

Ieee Sensors Journal (p. 4120-4130) - 15/4/2020

10.1109/jsen.2019.2962497 View at source

• ISSN 1530437X

• iMarina

A practical method for vibration frequency response characterization of handheld probes using Bootstrap in building acoustics

Applied Acoustics (p. 125-136) - 1/2/2019

10.1016/j.apacoust.2018.09.021 View at source

• ISSN 0003682X