Publikationen, an denen er mitarbeitet Gualberto Asencio Cortés (20)

2024

  1. Pattern sequence-based algorithm for multivariate big data time series forecasting: Application to electricity consumption

    Future Generation Computer Systems, Vol. 154, pp. 397-412

2023

  1. FS-Studio: An extensive and efficient feature selection experimentation tool for Weka Explorer

    SoftwareX, Vol. 23

  2. Olive Oil Fly Population Pest Forecasting Using Explainable Deep Learning

    Lecture Notes in Networks and Systems

  3. Streaming big time series forecasting based on nearest similar patterns with application to energy consumption

    Logic Journal of the IGPL, Vol. 31, Núm. 2, pp. 255-270

2022

  1. A new hybrid method for predicting univariate and multivariate time series based on pattern forecasting

    Information Sciences, Vol. 586, pp. 611-627

  2. Olive Phenology Forecasting Using Information Fusion-Based Imbalanced Preprocessing and Automated Deep Learning

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

2020

  1. A New Forecasting Algorithm Based on Neighbors for Streaming Electricity Time Series

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

  2. Big data time series forecasting based on pattern sequence similarity and its application to the electricity demand

    Information Sciences, Vol. 540, pp. 160-174

  3. Coronavirus Optimization Algorithm: A Bioinspired Metaheuristic Based on the COVID-19 Propagation Model

    Big data, Vol. 8, Núm. 4, pp. 308-322

2019

  1. A novel ensemble method for electric vehicle power consumption forecasting: Application to the Spanish system

    IEEE Access, Vol. 7, pp. 120840-120856

  2. Impact of Auto-evaluation Tests as Part of the Continuous Evaluation in Programming Courses

    Advances in Intelligent Systems and Computing

2018

  1. Imbalanced classification techniques for monsoon forecasting based on a new climatic time series

    Environmental Modelling and Software, Vol. 106, pp. 48-56

2017

  1. Large earthquake magnitude prediction in Chile with imbalanced classifiers and ensemble learning

    Applied Sciences (Switzerland), Vol. 7, Núm. 6

  2. Medium–large earthquake magnitude prediction in Tokyo with artificial neural networks

    Neural Computing and Applications, Vol. 28, Núm. 5, pp. 1043-1055

  3. Using principal component analysis to improve earthquake magnitude prediction in Japan

    Logic Journal of the IGPL, Vol. 25, Núm. 6, pp. 949-966

2016

  1. A novel methodology to predict urban traffic congestion with ensemble learning

    Soft Computing, Vol. 20, Núm. 11, pp. 4205-4216

2015

  1. A survey on data mining techniques applied to electricity-related time series forecasting

    Energies, Vol. 8, Núm. 11, pp. 13162-13193

  2. Improving earthquake prediction with principal component analysis: Application to Chile

    Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science)

2014

  1. Desarrollo de un proyecto integral de investigación durante los estudios de grado: caso práctico de un proyecto bioinformático en el grado de ingeniería informática

    I Seminario Iberoamericano de Innovación Docente de la Universidad Pablo de Olavide. (Universidad Pablo de Olavide)

  2. Proyectos dinámicos para el aprendizaje en los primeros cursos de las enseñanzas de programación informática

    I Seminario Iberoamericano de Innovación Docente de la Universidad Pablo de Olavide. (Universidad Pablo de Olavide)