Sergio Contador

Publication Activity (10 Years)

Years Active: 2017-2022
Publications (10 Years): 8

Top Topics

Diabetes Mellitus

Genetic Programming

Grammatical Evolution

Top Venues

GECCO (Companion)

EvoApplications

EvoApplications (1)

Publications

Sergio Contador, J. Manuel Colmenar, Oscar Garnica, J. Manuel Velasco, José Ignacio Hidalgo
Blood glucose prediction using multi-objective grammatical evolution: analysis of the "agnostic" and "what-if" scenarios. Genet. Program. Evolvable Mach. 23 (2) (2022)
Sergio Contador, J. Manuel Velasco, Oscar Garnica, José Ignacio Hidalgo
Glucose forecasting using genetic programming and latent glucose variability features. Appl. Soft Comput. 110 (2021)
Sergio Contador, J. Manuel Colmenar, Oscar Garnica, José Ignacio Hidalgo
Short and Medium Term Blood Glucose Prediction Using Multi-objective Grammatical Evolution. EvoApplications (2020)
David Joedicke, Gabriel Kronberger, José Manuel Colmenar, Stephan M. Winkler, José Manuel Velasco, Sergio Contador, José Ignacio Hidalgo
Analysis of the performance of Genetic Programming on the Blood Glucose Level Prediction Challenge 2020. KDH@ECAI (2020)
Sergio Contador, José Ignacio Hidalgo, Oscar Garnica, J. Manuel Velasco, Juan Lanchares
Can clustering improve glucose forecasting with genetic programming models? GECCO (Companion) (2019)
José Manuel Velasco, Oscar Garnica, Sergio Contador, Marta Botella, Juan Lanchares, José Ignacio Hidalgo
Forecasting glucose levels in patients with diabetes mellitus using semantic grammatical evolution and symbolic aggregate approximation. GECCO (Companion) (2017)
José Manuel Velasco, Oscar Garnica, Sergio Contador, José Manuel Colmenar, Esther Maqueda, Marta Botella, Juan Lanchares, José Ignacio Hidalgo
Enhancing Grammatical Evolution Through Data Augmentation: Application to Blood Glucose Forecasting. EvoApplications (1) (2017)
José Manuel Velasco, Oscar Garnica, Sergio Contador, Juan Lanchares, Esther Maqueda, Marta Botella, José Ignacio Hidalgo
Data augmentation and evolutionary algorithms to improve the prediction of blood glucose levels in scarcity of training data. CEC (2017)