Sergio Contador

发表

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

A. Sánchez-Sánchez, J. Lanchares, O. Garnica, 2022, Diabetology.

Glucose forecasting using genetic programming and latent glucose variability features

José Ignacio Hidalgo, Oscar Garnica, J. Manuel Velasco, 2021, Appl. Soft Comput..

Enhancing Grammatical Evolution Through Data Augmentation: Application to Blood Glucose Forecasting

José Ignacio Hidalgo, Oscar Garnica, Juan Lanchares, 2017, EvoApplications.

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

José Ignacio Hidalgo, Oscar Garnica, Juan Lanchares, 2017, 2017 IEEE Congress on Evolutionary Computation (CEC).

Identification of Blood Glucose Patterns through Continuous Glucose Monitoring Sensors and DecisionTrees

Francisco José Lozano Serrano, J. Lanchares, O. Garnica, 2020, medRxiv.

Analysis of the performance of Genetic Programming on the Blood Glucose Level Prediction Challenge 2020

José Ignacio Hidalgo, Stephan M. Winkler, Gabriel Kronberger, 2020, KDH@ECAI.

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

O. Garnica, J. Hidalgo, J. Colmenar, 2021, Genetic Programming and Evolvable Machines.

Short and Medium Term Blood Glucose Prediction Using Multi-objective Grammatical Evolution

José Ignacio Hidalgo, Oscar Garnica, J. Manuel Colmenar, 2020, EvoApplications.

Profiled glucose forecasting using genetic programming and clustering

Oscar Garnica, J. Ignacio Hidalgo, Sergio Contactor, 2020, SAC.

Can clustering improve glucose forecasting with genetic programming models?

José Ignacio Hidalgo, Oscar Garnica, Juan Lanchares, 2019, GECCO.

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

José Ignacio Hidalgo, Oscar Garnica, Juan Lanchares, 2017, GECCO.