Publicaciones en colaboración con investigadores/as de Imperial College London (12)

2024

  1. Explainable Hybrid Semi-parametric Model for Prediction of Power Generated by Wind Turbines

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

  2. Graph-neural-network potential energy surface to speed up Monte Carlo simulations of water cluster anions

    Journal of Computational Science, Vol. 81

2023

  1. Graph Neural Network Potentials for Molecular Dynamics Simulations of Water Cluster Anions

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

  2. Physics-informed neural networks for data-driven simulation: Advantages, limitations, and opportunities

    Physica A: Statistical Mechanics and its Applications, Vol. 610

2021

  1. Minimalistic fuzzy ontology reasoning: An application to Building Information Modeling

    Applied Soft Computing, Vol. 103

2020

  1. Towards a large-scale twitter observatory for political events

    Future Generation Computer Systems, Vol. 110, pp. 976-983

2019

  1. A Probabilistic Algorithm for Predictive Control with Full-Complexity Models in Non-Residential Buildings

    IEEE Access, Vol. 7, pp. 38748-38765

  2. Not All Lies Are Equal. A Study into the Engineering of Political Misinformation in the 2016 US Presidential Election

    IEEE Access, Vol. 7, pp. 126305-126314

2018

  1. Deep learning for fake news classification

    XVIII Conferencia de la Asociación Española para la Inteligencia Artificial (CAEPIA 2018): avances en Inteligencia Artificial. 23-26 de octubre de 2018 Granada, España

  2. GraphDL: An ontology for linked data visualization

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

  3. Visualizing large knowledge graphs: A performance analysis

    Future Generation Computer Systems, Vol. 89, pp. 224-238

2017

  1. Data science for building energy management: A review

    Renewable and Sustainable Energy Reviews, Vol. 70, pp. 598-609