Publicaciones en las que colabora con Francisco Javier de Cos Juez (14)

2021

  1. Hybrid Intelligent Model to Predict the Remifentanil Infusion Rate in Patients under General Anesthesia

    Logic Journal of the IGPL, Vol. 29, Núm. 2, pp. 193-206

2020

  1. Comparative study of imputation algorithms applied to the prediction of student performance

    Logic Journal of the IGPL, Vol. 28, Núm. 1, pp. 58-70

  2. Missing data imputation over academic records of electrical engineering students

    Logic Journal of the IGPL, Vol. 28, Núm. 4, pp. 487-501

2019

  1. Modelling the hypnotic patient response in general anaesthesia using intelligent models

    Logic Journal of the IGPL, Vol. 27, Núm. 2, pp. 189-201

2018

  1. A machine learning based system for analgesic drug delivery

    Advances in Intelligent Systems and Computing

  2. An intelligent model to predict ANI in patients undergoing general anesthesia

    Advances in Intelligent Systems and Computing

  3. Attempts prediction by missing data imputation in engineering degree

    Advances in Intelligent Systems and Computing

  4. Remifentanil dose prediction for patients during general anesthesia

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

2017

  1. An Intelligent Model for Bispectral Index (BIS) in Patients Undergoing General Anesthesia

    International Joint Conference SOCO’16-CISIS’16-ICEUTE’16: San Sebastián, Spain, October 19th-21st, 2016 Proceedings

  2. An intelligent model for bispectral index (BIS) in patients undergoing general anesthesia

    Advances in Intelligent Systems and Computing

  3. Hybrid intelligent system to perform fault detection on BIS sensor during surgeries

    Sensors (Switzerland), Vol. 17, Núm. 1

  4. Power Cell SOC Modelling for Intelligent Virtual Sensor Implementation

    Journal of Sensors, Vol. 2017

2016

  1. Student performance prediction applying missing data imputation in electrical engineering studies degree

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

2015

  1. A new way to improve subject selection in engineering degree studies

    Advances in Intelligent Systems and Computing