Instituto de Tecnología del Conocimiento (ITC)
Centro/Instituto
ANTONIO ÓSCAR
GARNICA ALCÁZAR
Profesor titular de universidad
Publicaciones en las que colabora con ANTONIO ÓSCAR GARNICA ALCÁZAR (62)
2024
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Combination of Machine Learning Techniques to Predict Overweight/Obesity in Adults
Journal of Personalized Medicine, Vol. 14, Núm. 8
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Explainable hypoglycemia prediction models through dynamic structured grammatical evolution
Scientific Reports, Vol. 14, Núm. 1
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HUPA-UCM diabetes dataset
Data in Brief
2023
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An LSTM-based Neural Network Wearable System for Blood Glucose Prediction in People with Diabetes
IEEE Journal of Biomedical and Health Informatics
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Artificial Intelligence-Based Predictive, Preventive, and Personalised Medicine Applied to Bacteraemia Diagnosis
Advances in Predictive, Preventive and Personalised Medicine (Springer Science and Business Media B.V.), pp. 9-41
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Evaluating the influence of sleep quality and quantity on glycemic control in adults with type 1 diabetes
Frontiers in Endocrinology, Vol. 14
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Hardware design of a model generator based on grammars and cartesian genetic programming for blood glucose prediction
GECCO 2023 Companion - Proceedings of the 2023 Genetic and Evolutionary Computation Conference Companion
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Tree-Based Grammatical Evolution with Non-Encoding Nodes
GECCO 2023 Companion - Proceedings of the 2023 Genetic and Evolutionary Computation Conference Companion
2022
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Approaching Epistemic and Aleatoric uncertainty with Evolutionary Optimization: Examples and Challenges
GECCO 2022 Companion - Proceedings of the 2022 Genetic and Evolutionary Computation Conference
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Blood glucose prediction using multi-objective grammatical evolution: analysis of the “agnostic” and “what-if” scenarios
Genetic Programming and Evolvable Machines, Vol. 23, Núm. 2, pp. 161-192
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Combining the Properties of Random Forest with Grammatical Evolution to Construct Ensemble Models
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
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Evaluating the Influence of Mood and Stress on Glycemic Variability in People with T1DM Using Glucose Monitoring Sensors and Pools
Diabetology, Vol. 3, Núm. 2, pp. 268-275
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Obtaining Difference Equations for Glucose Prediction by Structured Grammatical Evolution and Sparse Identification
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
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Predicting the Risk of Overweight and Obesity in Madrid—A Binary Classification Approach with Evolutionary Feature Selection
Applied Sciences (Switzerland), Vol. 12, Núm. 16
2021
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Diagnosing hospital bacteraemia in the framework of predictive, preventive and personalised medicine using electronic health records and machine learning classifiers
EPMA Journal, Vol. 12, Núm. 3, pp. 365-381
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Ensemble models of cutting-edge deep neural networks for blood glucose prediction in patients with diabetes
Sensors, Vol. 21, Núm. 21
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Estimation of Grain-Level Residual Stresses in a Quenched Cylindrical Sample of Aluminum Alloy AA5083 Using Genetic Programming
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
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Glucose forecasting using genetic programming and latent glucose variability features
Applied Soft Computing
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Study of Microscopic Residual Stresses in an Extruded Aluminium Alloy Sample after Thermal Treatment
Journal of Surface Investigation, Vol. 15, Núm. 4, pp. 763-767
2020
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Glucose forecasting combining Markov chain based enrichment of data, random grammatical evolution and Bagging
Applied Soft Computing Journal, Vol. 88