Manuel Jesús Jiménez

Manuel Jesús Jiménez

Ph.D. student

Manuel Jesús Jiménez earned a Computer Science Degree at the University of Seville in 2019. Afterwards, he received a Master in Aritificial Intelligence at the Menéndez Pelayo University 2020 organized by the Spanish Association for Artificial Intelligence (AEPIA).

He is working as a Assistant Research Engineer in Data Science & Big Data Lab, at the Pablo de Olavide University, where he has participated in two projects: Plataforma Digital de Servicios de Logistica Portuaria (DIGITAL PORT) and Machine Learning Aplicado al Análisis de Datos Masivos Procedentes de Redes Internet Of Things.

Moreover, he is currently a PhD student being his major fields of research time series forecasting and deep learning.

Publications

2021

J. F. Torres and M. J. Jiménez-Navarro and F. Martínez-Álvarez and A. Troncoso

Electricity consumption time series forecasting using Temporal Convolutional Networks Conference

Conference of the Spanish Association for Artificial Intelligence (CAEPIA'21), Lecture Notes in Artificial Intelligence 2021.

BibTeX

M. J. Jiménez-Navarro and F. Martínez-Álvarez and A. Troncoso and G. Asencio-Cortés

HLNet: A Novel Hierarchical Deep Neural Network for Time Series Forecasting Conference

SOCO International Conference on Soft Computing Models in Industrial and Environmental Applications, 1401 , Advances in Intelligent Systems and Computing 2021.

Links | BibTeX

M. A. Molina and M. J. Jiménez-Navarro and F. Martínez-Álvarez and G. Asencio-Cortés

A Model-Based Deep Transfer Learning Algorithm for Phenology Forecasting Using Satellite Imagery Conference

HAIS, 12886 , Lecture Notes in Computer Science 2021.

Links | BibTeX