Evento

Predictive classification of attentional profiles at age 3-years from early development using a machine learning approach

Musso, Mariel FernandaIcon ; Daly, Alana; Combita, Lina; Moyano, Sebastián; Rico Pico, Josué; Conejero, Ángela; Ballesteros Duperon, María Ángeles; Cascallar, Eduardo; Rosario Rueda, María Rosario
Tipo del evento: Congreso
Nombre del evento: International Congress for Psychological Sciences
Fecha del evento: 09/03/2023
Institución Organizadora: Association for Psychological Sciences;
Título del Libro: ICPS 2023 Brussels: poster brochure
Editorial: Association for Psychological Science
Idioma: Inglés
Clasificación temática:

Resumen

This study presents four attentional profiles in early development using a novel attention task. This study also aims to develop machine learning models to classify children into these profiles from a broad range of data acquired in infancy. A total of 76 toddlers participated as part of a longitudinal project.
Palabras clave: Prediction , Attentional profiles , Development , Machine learning
 
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Licencia
info:eu-repo/semantics/openAccess Excepto donde se diga explícitamente, este item se publica bajo la siguiente descripción: Creative Commons Attribution-NonCommercial-ShareAlike 2.5 Unported (CC BY-NC-SA 2.5)
Identificadores
URI: http://hdl.handle.net/11336/263122
URL: https://www.psychologicalscience.org/conventions/icps-2023/full-convention-progr
URL: https://www.psychologicalscience.org/redesign/wp-content/uploads/2023/03/Poster_
Colecciones
Eventos(CIIPME)
Eventos de CENTRO INTER. DE INV. EN PSICOLOGIA MATEMATICA Y EXP. "DR. HORACIO J.A RIMOLDI"
Citación
Predictive classification of attentional profiles at age 3-years from early development using a machine learning approach; International Congress for Psychological Sciences; Bruselas; Bélgica; 2023; 30-30
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