Publicaciones en colaboración con investigadores/as de Universidad de Almería (107)

2024

  1. Bidirectional Recurrent Imputation and Abundance Estimation of LULC Classes With MODIS Multispectral Time-Series and Geo-Topographic and Climatic Data

    IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol. 17, pp. 4626-4645

2023

  1. A Deep Learning Model of Radio Wave Propagation for Precision Agriculture and Sensor System in Greenhouses

    Agronomy, Vol. 13, Núm. 1

  2. Virtual reality to study geometrical aspects of architectural heritage

    Proceedings of the Asian Technology Conference in Mathematics

2022

  1. Black-box and surrogate optimization for tuning spiking neural models of striatum plasticity

    Frontiers in Neuroinformatics, Vol. 16

  2. Boosting the convergence of a GA-based wrapper for feature selection problems on high-dimensional data

    GECCO 2022 Companion - Proceedings of the 2022 Genetic and Evolutionary Computation Conference

  3. Classifying the content of social media images to support cultural ecosystem service assessments using deep learning models

    Ecosystem Services, Vol. 54

  4. Climate legacies drive the distribution and future restoration potential of dryland forests

    Nature Plants, Vol. 8, Núm. 8, pp. 879-886

  5. On the Design of a New Stochastic Meta-Heuristic for Derivative-Free Optimization

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

  6. Sentinel2GlobalLULC: A Sentinel-2 RGB image tile dataset for global land use/cover mapping with deep learning

    Scientific Data

  7. TimeSpec4LULC: a global multispectral time series database for training LULC mapping models with machine learning

    Earth System Science Data

2021

  1. 5g mobile phone network introduction in colombia

    Electronics (Switzerland), Vol. 10, Núm. 8

  2. A Comparative Study of Stochastic Optimizers for Fitting Neuron Models. Application to the Cerebellar Granule Cell

    Informatica (Netherlands), Vol. 32, Núm. 3, pp. 477-498

  3. Energy-Time Profiling for Machine Learning Methods to EEG Classification

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

  4. Iniciativa basada en Kahoot para motivar a los alumnos de Arquitectura de Computadores

    Actas de las Jornadas sobre la Enseñanza Universitaria de la Informática (JENUI), Núm. 6, pp. 299-302

  5. Mask R-CNN and OBIA fusion improves the segmentation of scattered vegetation in very high-resolution optical sensors

    Sensors (Switzerland), Vol. 21, Núm. 1, pp. 1-17

  6. Modelling Brain Connectivity Networks by Graph Embedding for Dyslexia Diagnosis

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

  7. On the Use of a Multimodal Optimizer for Fitting Neuron Models. Application to the Cerebellar Granule Cell

    Frontiers in Neuroinformatics, Vol. 15

  8. Performance Study of Ant Colony Optimization for Feature Selection in EEG Classification

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

  9. Recurrent Neural Networks and Efficiency in High-Dimensional EEG Classification

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

  10. Understanding power quality using iot-based smart analyzers and advanced software tools

    Renewable Energy and Power Quality Journal, Vol. 19, pp. 356-361