Publicaciones (94) Publicaciones de JUAN LANCHARES DÁVILA

2023

  1. An LSTM-based Neural Network Wearable System for Blood Glucose Prediction in People with Diabetes

    IEEE Journal of Biomedical and Health Informatics

  2. Hardware design of a model generator based on grammars and cartesian genetic programming for blood glucose prediction

    GECCO 2023 Companion - Proceedings of the 2023 Genetic and Evolutionary Computation Conference Companion

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

2021

  1. Ensemble models of cutting-edge deep neural networks for blood glucose prediction in patients with diabetes

    Sensors, Vol. 21, Núm. 21

  2. Study of Microscopic Residual Stresses in an Extruded Aluminium Alloy Sample after Thermal Treatment

    Journal of Surface Investigation, Vol. 15, Núm. 4, pp. 763-767

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

  3. Optimal Runtime Algorithm to Improve Fault Tolerance of Bus-Based Reconfigurable Designs

    IEEE Transactions on Very Large Scale Integration (VLSI) Systems, Vol. 28, Núm. 4, pp. 914-925

2019

  1. Can clustering improve glucose forecasting with genetic programming models?

    GECCO 2019 Companion - Proceedings of the 2019 Genetic and Evolutionary Computation Conference Companion

  2. Determination of microscopic residual stresses using diffraction methods, EBSD maps, and evolutionary algorithms

    GECCO 2019 Companion - Proceedings of the 2019 Genetic and Evolutionary Computation Conference Companion

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 Based Prediction of Blood Glucose Concentrations Using Evolutionary Methods

    Journal of Medical Systems, Vol. 41, Núm. 9

  2. 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

  3. 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)

  4. 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

  5. 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)

  2. Optimizing L1 cache for embedded systems through grammatical evolution

    Soft Computing, Vol. 20, Núm. 6, pp. 2451-2465