Consulta la información específica de un socio AMIT.
Datos del individuo
Nombre: Angel Díaz Pacheco
Género: Masculino
Ocupación: Docente Universitario
Correo electrónico: angel.diaz@ugto.mx
Perfil profesional
Institucion de adscripción: Universidad de Guanajuato
Ubicación de la institución de adscripción: Mexico; Guanajuato; Salamanca
SNI: Nivel 1
Cuerpo académico: No
Perfil PRODEP: No
Líneas de investigación:
Imagen del destino
Inteligencia artificial aplicada al turismo
Investigación de constructos en ciencias sociales
Curriculum vitae
Artículos de revista indexada
Nombre de la revista
Título del artículo
Impacto
Tipo de producto
Acciones
Intelligent Data Analysis
Facing the full model selection problem in high volume datasets employing intelligent proxy models
Internacional
Científico
Bioprocess and Biosystems Engineering
Use of equivalent circuit analysis and Cole–Cole model in evaluation of bioreactor operating conditions for biomass monitoring by impedance spectroscopy
Internacional
Científico
Sādhanā
Granule-based fuzzy rules to assist in the infant-crying pattern recognition problem
Internacional
Científico
Journal of Experimental & Theoretical Artificial Intelligence
A classification-based fuzzy-rules proxy model to assist in the full model selection problem in high volume datasets
Internacional
Científico
Procesamiento del Lenguaje Natural
Overview of rest-mex at iberlef 2022: Recommendation system, sentiment analysis and covid semaphore prediction for mexican tourist texts
Internacional
Científico
Journal of King Saud University-Computer and Information Sciences
Natural language processing applied to tourism research: A systematic review and future research directions
Internacional
Científico
Journal of Experimental & Theoretical Artificial Intelligence
Artificial intelligence methods to support the research of destination image in tourism. A systematic review
Internacional
Científico
International Journal of Interactive Multimedia and Artificial Intelligence
Measuring the difference between pictures from controlled and uncontrolled sources to promote a destination. a deep learning approach
Internacional
Científico
Information Technology & Tourism
Big data analytics of online news to explore destination image using a comprehensive deep-learning approach: a case from Mexico
Internacional
Científico
International Journal of Tourism Cities
What does the media tell us about a destination? the cancun case, seen from the usa, canada, and mexico
Internacional
Científico
Procesamiento del Lenguaje Natural
Overview of rest-mex at iberlef 2023: Research on sentiment analysis task for mexican tourist texts
Internacional
Científico
Journal of King Saud University-Computer and Information Sciences
A comprehensive deep learning approach for topic discovering and sentiment analysis of textual information in tourism
Internacional
Científico
ACM Transactions on Knowledge Discovery from Data
X-FSPMiner: A Novel Algorithm for Frequent Similar Pattern Mining
Internacional
Científico
Information Technology & Tourism
Quantifying differences between UGC and DMO’s image content on Instagram using deep learning
Internacional
Científico
Capitulos de libro
Nombre del capítulo
Nombre del libro
Editorial
Impacto
Tipo de producto
Acciones
Foundations
Intelligent Data Mining and Analysis in Power and Energy Systems