Publicaciones en las que colabora con ANTONIO ÓSCAR GARNICA ALCÁZAR (23)

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

    Frontiers in Endocrinology, Vol. 14

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. Glucose forecasting using genetic programming and latent glucose variability features

    Applied Soft Computing

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. Profiled glucose forecasting using genetic programming and clustering

    Proceedings of the ACM Symposium on Applied Computing

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