E-LIB Suche - Ergebnisse für: Garnica, Oscar

1

An LSTM-based Neural Network Wearable System for Blood Gluc..:

Tena, Felix ; Garnica, Oscar ; Davila, Juan Lanchares.
IEEE Journal of Biomedical and Health Informatics. , 2024

Link: https://doi.org/10.1109/..

2

Genetic Programming Techniques for Glucose Prediction in Pe..:

, In: Genetic Programming Theory and Practice XX; Genetic and Evolutionary Computation,

Hidalgo, J. Ignacio ; Velasco, Jose Manuel ; Parra, Daniel. - p. 105-124 , 2024

Link: https://doi.org/10.1007/..

3

HUPA-UCM diabetes dataset:

Hidalgo, J. Ignacio ; Alvarado, Jorge ; Botella, Marta...
Data in Brief. 55 (2024) - p. 110559 , 2024

Link: https://doi.org/10.1016/..

4

Explainable hypoglycemia prediction models through dynamic ..:

De La Cruz, Marina ; Garnica, Oscar ; Cervigon, Carlos..
Scientific Reports. 14 (2024) 1 - p. , 2024

Link: https://doi.org/10.1038/..

5

Artificial Intelligence-Based Predictive, Preventive, and P..:

, In: Microbiome in 3P Medicine Strategies; Advances in Predictive, Preventive and Personalised Medicine,

Garnica, Oscar ; Ruiz-Giardín, José M. ; Hidalgo, J. Ignacio - p. 9-41 , 2023

Link: https://doi.org/10.1007/..

6

Evaluating the influence of sleep quality and quantity on g..:

Botella-Serrano, Marta ; Velasco, Jose Manuel ; Sánchez-Sánchez, Almudena..
Frontiers in Endocrinology. 14 (2023) - p. , 2023

Link: https://doi.org/10.3389/..

7

Hardware design of a model generator based on grammars and ..:

, In: Proceedings of the Companion Conference on Genetic and Evolutionary Computation,

Cano, Jorge ; Hidalgo, J. Ignacio ; Garnica, Óscar. - p. 55-56 , 2023

Link: https://dl.acm.org/doi/1..

8

Tree-Based Grammatical Evolution with Non-Encoding Nodes:

, In: Proceedings of the Companion Conference on Genetic and Evolutionary Computation,

de la Cruz López, Marina ; Garnica, Oscar ; Hidalgo, J. Ignacio - p. 63-64 , 2023

Link: https://dl.acm.org/doi/1..

9

Combining the Properties of Random Forest with Grammatical ..:

, In: Applications of Evolutionary Computation; Lecture Notes in Computer Science,

Parra, Daniel ; Gutiérrez, Alberto ; Velasco, Jose-Manuel.. - p. 61-76 , 2022

Link: https://doi.org/10.1007/..

10

Predicting the Risk of Overweight and Obesity in Madrid—A B..:

Parra, Daniel ; Gutiérrez-Gallego, Alberto ; Garnica, Oscar...
Applied Sciences. 12 (2022) 16 - p. 8251 , 2022

Link: https://doi.org/10.3390/..

11

Evaluating the Influence of Mood and Stress on Glycemic Var..:

Velasco, Jose Manuel ; Botella-Serrano, Marta ; Sánchez-Sánchez, Almudena...
Diabetology. 3 (2022) 2 - p. 268-275 , 2022

Link: https://doi.org/10.3390/..

12

Approaching epistemic and aleatoric uncertainty with evolut..:

, In: Proceedings of the Genetic and Evolutionary Computation Conference Companion,

Ceberio, Josu ; Cortés, Juan-Carlos ; de Vega, Francisco Fernández... - p. 1909-1915 , 2022

Link: https://dl.acm.org/doi/1..

13

Obtaining Difference Equations for Glucose Prediction by St..:

, In: Computer Aided Systems Theory – EUROCAST 2022; Lecture Notes in Computer Science,

Parra, Daniel ; Joedicke, David ; Gutiérrez, Alberto... - p. 189-196 , 2022

Link: https://doi.org/10.1007/..

14

Glucose forecasting using genetic programming and latent gl..:

Contador, Sergio ; Velasco, J. Manuel ; Garnica, Oscar.
Applied Soft Computing. 110 (2021) - p. 107609 , 2021

Link: https://doi.org/10.1016/..

15

Ensemble Models of Cutting-Edge Deep Neural Networks for Bl..:

Tena, Félix ; Garnica, Oscar ; Lanchares, Juan.
Sensors. 21 (2021) 21 - p. 7090 , 2021

Link: https://doi.org/10.3390/..