Publications dans lesquelles il/elle collabore avec Alberto Diez Olivan (9)

2021

  1. Adaptive Dendritic Cell-Deep Learning Approach for Industrial Prognosis under Changing Conditions

    IEEE Transactions on Industrial Informatics, Vol. 17, Núm. 11, pp. 7760-7770

2020

  1. Data Augmentation for Industrial Prognosis Using Generative Adversarial Networks

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

  2. Evolutionary LSTM-FCN networks for pattern classification in industrial processes

    Swarm and Evolutionary Computation, Vol. 54

2019

  1. Data fusion and machine learning for industrial prognosis: Trends and perspectives towards Industry 4.0

    Information Fusion, Vol. 50, pp. 92-111

  2. Deep evolutionary modeling of condition monitoring data in marine propulsion systems

    Soft Computing, Vol. 23, Núm. 20, pp. 9937-9953

  3. Quantile regression forests-based modeling and environmental indicators for decision support in broiler farming

    Computers and Electronics in Agriculture, Vol. 161, pp. 141-150

2018

  1. Kernel-based support vector machines for automated health status assessment in monitoring sensor data

    International Journal of Advanced Manufacturing Technology, Vol. 95, Núm. 1-4, pp. 327-340

2017

  1. Data-driven prognostics using a combination of constrained K-means clustering, fuzzy modeling and LOF-based score

    Neurocomputing, Vol. 241, pp. 97-107

  2. Kernel density-based pattern classification in blind fasteners installation

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