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 |
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. |
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. |
A Model-Based Deep Transfer Learning Algorithm for Phenology Forecasting Using Satellite Imagery Conference HAIS, 12886 , Lecture Notes in Computer Science 2021. |