Publicaciones en colaboración con investigadores/as de Universidad Católica San Antonio (71)

2024

  1. A multi-model deep learning approach to address prediction imbalances in smart greenhouses

    Computers and Electronics in Agriculture, Vol. 216

  2. Indoor wireless channel characterization in the W band for the planning of 6G communication systems

    AEU - International Journal of Electronics and Communications, Vol. 177

  3. Nationwide Air Pollution Forecasting with Heterogeneous Graph Neural Networks

    ACM Transactions on Intelligent Systems and Technology, Vol. 15, Núm. 1

2023

  1. A Sustainable Framework to Manage Plastic Waste in Urban Environments Using Open Data

    EAI/Springer Innovations in Communication and Computing (Springer Science and Business Media Deutschland GmbH), pp. 263-295

  2. Analysis of the Asymmetry between Both Eyes in Early Diagnosis of Glaucoma Combining Features Extracted from Retinal Images and OCTs into Classification Models

    Sensors, Vol. 23, Núm. 10

  3. Beach and Weather: A Mobile Crowdsensing platform to report beach conditions

    Software Impacts, Vol. 15

  4. Can Twitter be a Reliable Proxy to Characterize Nation-wide Human Mobility? A Case Study of Spain

    Social Science Computer Review, Vol. 41, Núm. 3, pp. 886-904

  5. Evaluation of synthetic data generation for intelligent climate control in greenhouses

    Applied Intelligence, Vol. 53, Núm. 21, pp. 24765-24781

  6. Evolution of global music trends: An exploratory and predictive approach based on Spotify data

    Entertainment Computing, Vol. 44

  7. Human Mobility Prediction with Region-based Flows and Road Traffic Data

    Journal of Universal Computer Science, Vol. 29, Núm. 4, pp. 374-396

  8. Music Mobility Patterns: How Songs Propagate Around The World Through Spotify

    Pattern Recognition, Vol. 143

  9. Nation-wide touristic flow prediction with Graph Neural Networks and heterogeneous open data

    Information Fusion, Vol. 91, pp. 582-597

  10. SINATRA: A Music Genre Classifier Based on Clustering and Graph Analysis

    Studies in Computational Intelligence (Springer Science and Business Media Deutschland GmbH), pp. 185-209