Publications (31) Francisco Martínez Álvarez publications

filter_list Statistics and Probability

2025

  1. Forecasting basal area increment in forest ecosystems using deep learning: A multi-species analysis in the Himalayas

    Ecological Informatics, Vol. 85

2024

  1. From simple to complex: A sequential method for enhancing time series forecasting with deep learning

    Logic Journal of the IGPL, Vol. 32, Núm. 6, pp. 986-1003

  2. Ground-Level Ozone Forecasting Using Explainable Machine Learning

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

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

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

  4. Time Series Forecasting in Agriculture: Explainable Deep Learning with Lagged Feature Selection

    Lecture Notes in Networks and Systems

2023

  1. A Cluster-Based Deep Learning Model for Energy Consumption Forecasting in Ethiopia

    Lecture Notes in Networks and Systems

  2. A New Hybrid CNN-LSTM for Wind Power Forecasting in Ethiopia

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

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

    Proceedings of the ACM Symposium on Applied Computing

  4. Electricity consumption forecasting with outliers handling based on clustering and deep learning with application to the Algerian market

    Expert Systems with Applications, Vol. 227

  5. 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)

  6. Explainable Artificial Intelligence for the Electric Vehicle Load Demand Forecasting Problem

    Lecture Notes in Networks and Systems

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

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

2022

  1. A novel approach to discover numerical association based on the coronavirus optimization algorithm

    Proceedings of the ACM Symposium on Applied Computing

  2. DIAFAN-TL: An instance weighting-based transfer learning algorithm with application to phenology forecasting

    Knowledge-Based Systems, Vol. 254

  3. Deformation forecasting of a hydropower dam by hybridizing a long short-term memory deep learning network with the coronavirus optimization algorithm

    Computer-Aided Civil and Infrastructure Engineering, Vol. 37, Núm. 11, pp. 1368-1386

2021

  1. Deep Learning for Time Series Forecasting: A Survey

    Big Data, Vol. 9, Núm. 1, pp. 3-21

2020

  1. Advanced machine learning and big data analytics in Remote Sensing for Natural Hazards Management

    Remote Sensing

2019

  1. A novel ensemble modeling approach for the spatial prediction of tropical forest fire susceptibility using LogitBoost machine learning classifier and multi-source geospatial data

    Theoretical and Applied Climatology, Vol. 137, Núm. 1-2, pp. 637-653

  2. A novel hybrid algorithm to forecast functional time series based on pattern sequence similarity with application to electricity demand

    Energies, Vol. 12, Núm. 1

  3. Deep Learning for Big Data Time Series Forecasting Applied to Solar Power

    Advances in Intelligent Systems and Computing