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Choosing the right loss function for multi-label Emotion Classification

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Choosing the right loss function for multi-label Emotion Classification

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Hurtado Oliver, LF.; González-Barba, JÁ.; Pla Santamaría, F. (2019). Choosing the right loss function for multi-label Emotion Classification. Journal of Intelligent & Fuzzy Systems. 36(5):4697-4708. https://doi.org/10.3233/JIFS-179019

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Título: Choosing the right loss function for multi-label Emotion Classification
Autor: Hurtado Oliver, Lluis Felip González-Barba, José Ángel Pla Santamaría, Ferran
Entidad UPV: Universitat Politècnica de València. Departamento de Sistemas Informáticos y Computación - Departament de Sistemes Informàtics i Computació
Fecha difusión:
Resumen:
[EN] Natural Language Processing problems has recently been benefited for the advances in Deep Learning. Many of these problems can be addressed as a multi-label classification problem. Usually, the metrics used to evaluate ...[+]
Palabras clave: Deep Learning , Loss function , Multi-label classification , Natural Language Processing , Emotion Classification
Derechos de uso: Reserva de todos los derechos
Fuente:
Journal of Intelligent & Fuzzy Systems. (issn: 1064-1246 )
DOI: 10.3233/JIFS-179019
Editorial:
IOS Press
Versión del editor: https://doi.org/10.3233/JIFS-179019
Código del Proyecto:
info:eu-repo/grantAgreement/UPV//PAID-01-17/
info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2013-2016/TIN2017-85854-C4-2-R/ES/AMIC-UPV: ANALISIS AFECTIVO DE INFORMACION MULTIMEDIA CON COMUNICACION INCLUSIVA Y NATURAL/
info:eu-repo/grantAgreement/GVA//PROMETEO%2F2018%2F176/ES/GISPRO-GENOMIC INFORMATION SYSTEMS PRODUCTION/
Agradecimientos:
This work has been partially supported by the Spanish MINECO and FEDER founds under project AMIC (TIN2017-85854-C4-2-R) and the GiSPRO project (PROMETEU/2018/176). Work of Jose-Angel Gonzalez is also financed by Universitat ...[+]
Tipo: Artículo

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