Publicaciones en las que colabora con LAURA FERNÁNDEZ ROBLES (12)

2022

  1. A Framework for the Optimization of Complex Cyber-Physical Systems via Directed Acyclic Graph

    Sensors, Vol. 22, Núm. 4

2020

  1. Non-removal strategy for outliers in predictive models: The PAELLA algorithm case

    Logic Journal of the IGPL, Vol. 28, Núm. 4, pp. 418-429

  2. Robust weighted regression via PAELLA sample weights

    Neurocomputing, Vol. 391, pp. 325-333

2019

  1. A fault detection system for a geothermal heat exchanger sensor based on intelligent techniques

    Sensors (Switzerland), Vol. 19, Núm. 12

  2. Ground-level ozone predictions using outlier identification leveraged sample weighted regressors

    Journal of Experimental and Theoretical Artificial Intelligence, Vol. 31, Núm. 6, pp. 829-840

2018

  1. Coupling the PAELLA algorithm to predictive models

    Advances in Intelligent Systems and Computing

  2. Data mining techniques for the estimation of variables in health-related noisy data

    Advances in Intelligent Systems and Computing

  3. Learning process analysis using machine learning techniques

    International Journal of Engineering Education, Vol. 34, Núm. 3, pp. 981-989

  4. PAELLA as a booster in weighted regression

    Advances in Intelligent Systems and Computing

  5. Sensor fault detection and recovery methodology for a geothermal heat exchanger

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

2016

  1. Machine learning insights on the learning process

    ACM International Conference Proceeding Series

  2. Machine learning insights on the learning process

    Proceedings, TEEM '16