Publicaciones en colaboración con investigadores/as de Imperial College London (11)

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. 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