Publicaciones en colaboración con investigadores/as de Universidad de Sevilla (22)

2023

  1. A bioinspired ensemble approach for multi-horizon reference evapotranspiration forecasting in Portugal

    Proceedings of the ACM Symposium on Applied Computing

  2. A new deep learning architecture with inductive bias balance for transformer oil temperature forecasting

    Journal of Big Data, Vol. 10, Núm. 1

  3. Embedded Temporal Feature Selection for Time Series Forecasting Using Deep Learning

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

  4. Explaining Learned Patterns in Deep Learning by Association Rules Mining

    Lecture Notes in Networks and Systems

  5. Feature-Aware Drop Layer (FADL): A Nonparametric Neural Network Layer for Feature Selection

    Lecture Notes in Networks and Systems

  6. PHILNet: A novel efficient approach for time series forecasting using deep learning

    Information Sciences, Vol. 632, pp. 815-832

2022

  1. Automatic Eligibility of Sellers in an Online Market Place: A Case Study of Amazon Algorithm

    Information (Switzerland), Vol. 13, Núm. 2

2021

  1. A Preliminary Study on Deep Transfer Learning Applied to Image Classification for Small Datasets

    15th International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO 2020): Burgos, Spain ; September 2020

  2. A Preliminary Study on Deep Transfer Learning Applied to Image Classification for Small Datasets

    Advances in Intelligent Systems and Computing

2020

  1. 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. A novel approach to forecast urban surface-level ozone considering heterogeneous locations and limited information

    Environmental Modelling and Software, pp. 52-61

  2. A novel tree-based algorithm to discover seismic patterns in earthquake catalogs

    Computers and Geosciences, Vol. 115, pp. 96-104

  3. Data field-based K-means clustering for spatio-temporal seismicity analysis and hazard assessment

    Remote Sensing, Vol. 10, Núm. 3

  4. Earthquake prediction in California using regression algorithms and cloud-based big data infrastructure

    Computers and Geosciences, Vol. 115, pp. 198-210

2017

  1. Comparing seismic parameters for different source zone models in the Iberian Peninsula

    Tectonophysics, Vol. 717, pp. 449-472

  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 sensitivity study of seismicity indicators in supervised learning to improve earthquake prediction

    Knowledge-Based Systems, Vol. 101, pp. 15-30