J. Manuel Velasco

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 15

Top Topics

Evolutionary Optimization

Grammatical Evolution

Top Venues

GECCO (Companion)

Genet. Program. Evolvable Mach.

Publications

Daniel Parra, David Joedicke, J. Manuel Velasco, Gabriel Kronberger, José Ignacio Hidalgo
Learning Difference Equations With Structured Grammatical Evolution for Postprandial Glycaemia Prediction. IEEE J. Biomed. Health Informatics 28 (5) (2024)
J. Alvarado, J. Manuel Velasco, F. Chávez, José Ignacio Hidalgo, Francisco Fernández de Vega
Patterns Detection in Glucose Time Series by Domain Transformations and Deep Learning. CoRR (2023)
Daniel Parra, David Joedicke, J. Manuel Velasco, Gabriel Kronberger, José Ignacio Hidalgo
Learning Difference Equations with Structured Grammatical Evolution for Postprandial Glycaemia Prediction. CoRR (2023)
Josu Ceberio, Juan Carlos Cortés, Francisco Fernández de Vega, Oscar Garnica, José Ignacio Hidalgo, J. Manuel Velasco, Rafael-Jacinto Villanueva
Approaching epistemic and aleatoric uncertainty with evolutionary optimization: examples and challenges. GECCO Companion (2022)
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)
Daniel Parra, David Joedicke, Alberto Gutiérrez, J. Manuel Velasco, Oscar Garnica, J. Manuel Colmenar, José Ignacio Hidalgo
Obtaining Difference Equations for Glucose Prediction by Structured Grammatical Evolution and Sparse Identification. EUROCAST (2022)
Carlos Cervigón, J. Manuel Velasco, Clara Burgos Simón, Rafael J. Villanueva, José Ignacio Hidalgo
Probabilistic Fitting of Glucose Models with Real-Coded Genetic Algorithms. CEC (2021)
J. Alvarado, J. Manuel Velasco, Franciso de la O. Chávez, José Ignacio Hidalgo, F. Fernández de Vega
Blood Glucose Prediction Using a Two Phase TSK Fuzzy Rule Based System. CEC (2021)
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)
Oscar Garnica, Juan Lanchares, J. Manuel Velasco, José Ignacio Hidalgo, Marta Botella
Noise spectral analysis and error estimation of continuous glucose monitors under real-life conditions of diabetes patients. Biomed. Signal Process. Control. 61 (2020)
José Ignacio Hidalgo, Marta Botella, J. Manuel Velasco, Oscar Garnica, Carlos Cervigón, Remedios Martínez, Aranzazu Aramendi, Esther Maqueda, Juan Lanchares
Glucose forecasting combining Markov chain based enrichment of data, random grammatical evolution and Bagging. Appl. Soft Comput. 88 (2020)
Sergio Contactor, J. Manuel Velasco, Oscar Garnica, José Ignacio Hidalgo
Profiled glucose forecasting using genetic programming and clustering. SAC (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)
Iván Contreras, José Ignacio Hidalgo, Laura Núñez-Letamendia, J. Manuel Velasco
A meta-grammatical evolutionary process for portfolio selection and trading. Genet. Program. Evolvable Mach. 18 (4) (2017)
J. Manuel Colmenar, José Ignacio Hidalgo, Juan Lanchares, Oscar Garnica, José L. Risco-Martín, Iván Contreras, Almudena Sánchez, J. Manuel Velasco
Compilable Phenotypes: Speeding-Up the Evaluation of Glucose Models in Grammatical Evolution. EvoApplications (2) (2016)
J. Manuel Velasco, Stephan M. Winkler, José Ignacio Hidalgo, Oscar Garnica, Juan Lanchares, J. Manuel Colmenar, Esther Maqueda, Marta Botella, José Antonio Rubio
Data-Based Identification of Prediction Models for Glucose. GECCO (Companion) (2015)