J. M. Velasco

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.

Predicting the Risk of Overweight and Obesity in Madrid—A Binary Classification Approach with Evolutionary Feature Selection

J. Hidalgo, J. J. Zamorano-León, Khaoula Zekri-Nechar, 2022, Applied Sciences.

Approaching epistemic and aleatoric uncertainty with evolutionary optimization: examples and challenges

Josu Ceberio, J. Cortés, R. Villanueva, 2022, GECCO Companion.

Glucose forecasting using genetic programming and latent glucose variability features

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

Glucose forecasting combining Markov chain based enrichment of data, random grammatical evolution and Bagging

Oscar Garnica, Juan Lanchares, J. Ignacio Hidalgo, 2020, Appl. Soft Comput..

Recovery of Particle Detector Degeneration Based on the Pulse Height Spectrum of an Adaptive Trapezoidal Pulse Shaper

Oscar Garnica, Juan Lanchares, J. Ignacio Hidalgo, 2017, IEEE Transactions on Nuclear Science.

Combining the Properties of Random Forest with Grammatical Evolution to Construct Ensemble Models

O. Garnica, J. Hidalgo, J. M. Velasco, 2022, EvoApplications.

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

A. Sánchez-Sánchez, J. Hidalgo, J. M. Velasco, 2022, Frontiers in Endocrinology.

Noise spectral analysis and error estimation of continuous glucose monitors under real-life conditions of diabetes patients

Oscar Garnica, Juan Lanchares, Marta Botella, 2020, Biomed. Signal Process. Control..

Combining data augmentation, EDAs and grammatical evolution for blood glucose forecasting

José Ignacio Hidalgo, Oscar Garnica, Juan Lanchares, 2018, Memetic Comput..

Combining data augmentation, EDAs and grammatical evolution for blood glucose forecasting

J. Lanchares, J. Hidalgo, J. M. Velasco, 2018, Memetic Computing.

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).

Memory power optimization of Java-based embedded systems exploiting garbage collection information

David Atienza, Katzalin Olcoz, José Manuel Velasco, 2012, J. Syst. Archit..

Exploration of memory hierarchy configurations for efficient garbage collection on high-performance embedded systems

David Atienza, Katzalin Olcoz, José Manuel Velasco, 2009, GLSVLSI '09.

Energy Characterization of Garbage Collectors for Dynamic Applications on Embedded Systems

Francisco Tirado, Francky Catthoor, David Atienza, 2005, PATMOS.

Efficient Object Placement including Node Selection in a Distributed Virtual Machine

Francisco Tirado, David Atienza, Katzalin Olcoz, 2007, PARCO.

Performance Evaluation of Barrier Techniques for Distributed Tracing Garbage Collectors

Francky Catthoor, David Atienza, Katzalin Olcoz, 2005, PARCO.

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.

A meta-grammatical evolutionary process for portfolio selection and trading

José Ignacio Hidalgo, Iván Contreras, Laura Núñez-Letamendia, 2017, Genetic Programming and Evolvable Machines.

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.

Identification of Models for Glucose Blood Values in Diabetics by Grammatical Evolution

José Ignacio Hidalgo, Stephan M. Winkler, Gabriel Kronberger, 2018, Handbook of Grammatical Evolution.

Learning Difference Equations with Structured Grammatical Evolution for Postprandial Glycaemia Prediction

G. Kronberger, J. Hidalgo, J. M. Velasco, 2023, ArXiv.

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.

Data-Based Identification of Prediction Models for Glucose

José Ignacio Hidalgo, Stephan M. Winkler, Oscar Garnica, 2015, GECCO.