Publicaciones en colaboración con investigadoras/es de Universidad Rey Juan Carlos (24)

2024

  1. Analysis, characterization, prediction, and attribution of extreme atmospheric events with machine learning and deep learning techniques: a review

    Theoretical and Applied Climatology, Vol. 155, Núm. 1, pp. 1-44

  2. On solving the cross-dock door assignment problem

    International Journal of Production Research, Vol. 62, Núm. 4, pp. 1262-1276

2023

  1. Deep learning for understanding multilabel imbalanced Chest X-ray datasets

    Future Generation Computer Systems, Vol. 144, pp. 291-306

2022

  1. Integrated Environmental and Exergoeconomic Analysis of Biomass-Derived Maleic Anhydride

    Advanced Sustainable Systems, Vol. 6, Núm. 9

  2. Persistence in complex systems

    Physics Reports, Vol. 957, pp. 1-73

  3. Randomization-based machine learning in renewable energy prediction problems: Critical literature review, new results and perspectives

    Applied Soft Computing, Vol. 118

2021

  1. Secondary raw materials from residual carbon fiber-reinforced composites by an upgraded pyrolysis process

    Polymers, Vol. 13, Núm. 19

2020

  1. Oxidation of lignocellulosic platform molecules to value-added chemicals using heterogeneous catalytic technologies

    Catalysis Science and Technology, Vol. 10, Núm. 9, pp. 2721-2757

  2. Reclamation of carbon fibers and added-value gases in a pyrolysis-based composites recycling process

    Journal of Cleaner Production, Vol. 273

  3. Some matheuristic algorithms for multistage stochastic optimization models with endogenous uncertainty and risk management

    European Journal of Operational Research, Vol. 285, Núm. 3, pp. 988-1001

2019

  1. Mixed convolutional and long short-term memory network for the detection of lethal ventricular arrhythmia

    PLoS ONE, Vol. 14, Núm. 5

2018

  1. MAMTRA-MED at CLEF eHealth 2018: A combination of information retrieval techniques and neural networks for ICD-10 coding of death certificates

    CEUR Workshop Proceedings

  2. Mapping the structure and evolution of JISIB: A bibliometric analysis of articles published in the Journal of Intelligence Studies in Business between 2011 and 2017

    Journal of Intelligence Studies in Business, Vol. 8, Núm. 3, pp. 9-21

  3. On efficient matheuristic algorithms for multi-period stochastic facility location-assignment problems

    Computational Optimization and Applications, Vol. 70, Núm. 3, pp. 865-888

  4. On preparedness resource allocation planning for natural disaster relief under endogenous uncertainty with time-consistent risk-averse management

    Computers and Operations Research, Vol. 98, pp. 84-102

2017

  1. Scenario cluster Lagrangean decomposition for risk averse in multistage stochastic optimization

    Computers and Operations Research, Vol. 85, pp. 1339-1351

2016

  1. Cluster Lagrangean decomposition in multistage stochastic optimization

    Computers and Operations Research, Vol. 67, pp. 48-62

  2. Machine learning techniques for the detection of shockable rhythms in automated external defibrillators

    PLoS ONE, Vol. 11, Núm. 7

2014

  1. A reliable method for rhythm analysis during cardiopulmonary resuscitation

    BioMed Research International, Vol. 2014

  2. Filtering chest compression artifacts improves the performance of VF-detection parameters

    Computing in Cardiology