• Testing Deep Learning Recommender Systems Models on Synthetic GAN-Generated Datasets 

      Bobadilla, Jesús; Gutiérrez, Abraham (International Journal of Interactive Multimedia and Artificial Intelligence, 10/2023)
      The published method Generative Adversarial Networks for Recommender Systems (GANRS) allows generating data sets for collaborative filtering recommendation systems. The GANRS source code is available along with a representative ...
    • Use of Optimised LSTM Neural Networks Pre-Trained With Synthetic Data to Estimate PV Generation 

      Martínez-Comesaña, Miguel; Martínez-Torres, Javier; Eguía-Oller, Pablo; López-Gómez, Javier (International Journal of Interactive Multimedia and Artificial Intelligence, 11/2023)
      Optimising the use of the photovoltaic (PV) energy is essential to reduce fossil fuel emissions by increasing the use of solar power generation. In recent years, research has focused on physical simulations or artifical ...