Publications dans lesquelles il/elle collabore avec ANTONIO ÓSCAR GARNICA ALCÁZAR (62)

2024

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

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

  2. Explainable hypoglycemia prediction models through dynamic structured grammatical evolution

    Scientific Reports, Vol. 14, Núm. 1

  3. HUPA-UCM diabetes dataset

    Data in Brief

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. Artificial Intelligence-Based Predictive, Preventive, and Personalised Medicine Applied to Bacteraemia Diagnosis

    Advances in Predictive, Preventive and Personalised Medicine (Springer Science and Business Media B.V.), pp. 9-41

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

    Frontiers in Endocrinology, Vol. 14

  4. 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

  5. Tree-Based Grammatical Evolution with Non-Encoding Nodes

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

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. Diagnosing hospital bacteraemia in the framework of predictive, preventive and personalised medicine using electronic health records and machine learning classifiers

    EPMA Journal, Vol. 12, Núm. 3, pp. 365-381

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

    Sensors, Vol. 21, Núm. 21

  3. Estimation of Grain-Level Residual Stresses in a Quenched Cylindrical Sample of Aluminum Alloy AA5083 Using Genetic Programming

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

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

    Applied Soft Computing

  5. 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