Publikationen, an denen er mitarbeitet JOSE MANUEL VELASCO CABO (12)

2022

  1. Evaluating the Influence of Mood and Stress on Glycemic Variability in People with T1DM Using Glucose Monitoring Sensors and Pools

    Diabetology, Vol. 3, Núm. 2, pp. 268-275

2020

  1. Glucose forecasting combining Markov chain based enrichment of data, random grammatical evolution and Bagging

    Applied Soft Computing Journal, Vol. 88

  2. Noise spectral analysis and error estimation of continuous glucose monitors under real-life conditions of diabetes patients

    Biomedical Signal Processing and Control, Vol. 61

2018

  1. Combining data augmentation, EDAs and grammatical evolution for blood glucose forecasting

    Memetic Computing, Vol. 10, Núm. 3, pp. 267-277

  2. Identification of models for glucose blood values in diabetics by grammatical evolution

    Handbook of Grammatical Evolution (Springer International Publishing), pp. 367-393

  3. Un análisis de soluciones basadas en Programación Genética para resolver problemas de regresión simbólica de datos de medidores continuos de glucosa

    XVIII Conferencia de la Asociación Española para la Inteligencia Artificial (CAEPIA 2018): avances en Inteligencia Artificial. 23-26 de octubre de 2018 Granada, España

2017

  1. Data augmentation and evolutionary algorithms to improve the prediction of blood glucose levels in scarcity of training data

    2017 IEEE Congress on Evolutionary Computation, CEC 2017 - Proceedings

  2. Enhancing grammatical evolution through data augmentation: Application to blood glucose forecasting

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

  3. Forecasting glucose levels in patients with diabetes mellitus using semantic grammatical evolution and symbolic aggregate approximation

    GECCO 2017 - Proceedings of the Genetic and Evolutionary Computation Conference Companion

  4. Recovery of Particle Detector Degeneration Based on the Pulse Height Spectrum of an Adaptive Trapezoidal Pulse Shaper

    IEEE Transactions on Nuclear Science, Vol. 64, Núm. 4, pp. 1095-1100

2016

  1. Compilable phenotypes: Speeding-up the evaluation of glucose models in grammatical evolution

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

2015

  1. Data-based identification of prediction models for glucose

    GECCO 2015 - Companion Publication of the 2015 Genetic and Evolutionary Computation Conference