Publicaciones en las que colabora con MANUEL PEGALAJAR CUÉLLAR (12)

2023

  1. Time Series Forecasting with Quantum Neural Networks

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

  2. Time series quantum classifiers with amplitude embedding

    Quantum Machine Intelligence, Vol. 5, Núm. 2

2022

  1. A similarity measure for Straight Line Programs and its application to control diversity in Genetic Programming

    Expert Systems with Applications, Vol. 194

2021

  1. Analysis and enhanced prediction of the Spanish Electricity Network through Big Data and Machine Learning techniques

    International Journal of Approximate Reasoning, Vol. 133, pp. 48-59

2020

  1. A three-valued logic approach for edge detection using cellular automata

    Journal of Cellular Automata, Vol. 15, Núm. 5-6, pp. 407-438

  2. An Ant Colony Optimization approach for symbolic regression using Straight Line Programs. Application to energy consumption modelling

    International Journal of Approximate Reasoning, Vol. 121, pp. 23-38

2018

  1. A comparison between NARX neural networks and symbolic regression: An application for energy consumption forecasting

    Communications in Computer and Information Science

  2. A comparison between NARX neural networks and symbolic regression: an application for energy consumption forecasting

    Information Processing and Management of Uncertainty in Knowledge-Based Systems. Applications: 17th International Conference, IPMU 2018, Cádiz, Spain, June 11-15, 2018, Proceedings, Part III

  3. Energy consumption forecasting based on Elman neural networks with evolutive optimization

    Expert Systems with Applications, Vol. 92, pp. 380-389

2017

  1. Experimental evaluation of straight line programs for hydrological modelling with exogenous variables

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

2016

  1. An Application of Non-Linear Autoregressive Neural Networks to Predict Energy Consumption in Public Buildings

    Energies, Vol. 9, Núm. 9

2014

  1. Estrategias para incentivar la investigación en la Facultad de Educación y Humanidades de Ceuta: contrato programa

    La investigación en las facultades de Educación y Humanidades de los campus de Melilla y Ceuta: una perspectiva histórica, de presente y de futuro (GEEPP (Gestión y Edición de Publicaciones Profesionales)), pp. 133-138