Publikationen, an denen er mitarbeitet JOSÉ IGNACIO HIDALGO PÉREZ (31)

2024

  1. Building uncertainty-aware mathematical models based on evidence from datasets using grammatical evolution optimization techniques: the case of the obesity dynamics

    Computational and Applied Mathematics, Vol. 43, Núm. 8

  2. Combination of Machine Learning Techniques to Predict Overweight/Obesity in Adults

    Journal of Personalized Medicine, Vol. 14, Núm. 8

  3. Explainable hypoglycemia prediction models through dynamic structured grammatical evolution

    Scientific Reports, Vol. 14, Núm. 1

  4. HUPA-UCM diabetes dataset

    Data in Brief

  5. Learning Difference Equations With Structured Grammatical Evolution for Postprandial Glycaemia Prediction

    IEEE Journal of Biomedical and Health Informatics, Vol. 28, Núm. 5, pp. 3067-3078

2023

  1. Combining wavelet transform with convolutional neural networks for hypoglycemia events prediction from CGM data

    Chemometrics and Intelligent Laboratory Systems, Vol. 243

  2. Evaluating the influence of sleep quality and quantity on glycemic control in adults with type 1 diabetes

    Frontiers in Endocrinology, Vol. 14

  3. Modelling the Transmission Dynamics of Obesity: A Multi-Objective Approach Using Dynamic Structured Grammatical Evolution

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

  4. Using genetic programming and the stress equilibrium method to obtain the un-stressed lattice parameter for calculating residual stresses

    Journal of Materials Research and Technology, Vol. 23, pp. 1543-1558

2022

  1. Approaching Epistemic and Aleatoric uncertainty with Evolutionary Optimization: Examples and Challenges

    GECCO 2022 Companion - Proceedings of the 2022 Genetic and Evolutionary Computation Conference

  2. Blood glucose prediction using multi-objective grammatical evolution: analysis of the “agnostic” and “what-if” scenarios

    Genetic Programming and Evolvable Machines, Vol. 23, Núm. 2, pp. 161-192

  3. Combining the Properties of Random Forest with Grammatical Evolution to Construct Ensemble Models

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

  4. 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

  5. Obtaining Difference Equations for Glucose Prediction by Structured Grammatical Evolution and Sparse Identification

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

  6. Predicting the Risk of Overweight and Obesity in Madrid—A Binary Classification Approach with Evolutionary Feature Selection

    Applied Sciences (Switzerland), Vol. 12, Núm. 16

2021

  1. Blood Glucose Prediction Using a Two Phase TSK Fuzzy Rule Based System

    2021 IEEE Congress on Evolutionary Computation, CEC 2021 - Proceedings

  2. Glucose forecasting using genetic programming and latent glucose variability features

    Applied Soft Computing

  3. Probabilistic Fitting of Glucose Models with Real-Coded Genetic Algorithms

    2021 IEEE Congress on Evolutionary Computation, CEC 2021 - Proceedings

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