JOSÉ MANUEL
VELASCO CABO
Profesor colaborador
JOSÉ IGNACIO
HIDALGO PÉREZ
Catedrático de universidad
Publicacións nas que colabora con JOSÉ IGNACIO HIDALGO PÉREZ (29)
2024
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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
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Learning Difference Equations With Structured Grammatical Evolution for Postprandial Glycaemia Prediction
IEEE Journal of Biomedical and Health Informatics, Vol. 28, Núm. 5, pp. 3067-3078
2023
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Combining wavelet transform with convolutional neural networks for hypoglycemia events prediction from CGM data
Chemometrics and Intelligent Laboratory Systems, Vol. 243
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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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Modelling the Transmission Dynamics of Obesity: A Multi-Objective Approach Using Dynamic Structured Grammatical Evolution
GECCO 2023 Companion - Proceedings of the 2023 Genetic and Evolutionary Computation Conference Companion
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Using genetic programming and the stress equilibrium method to obtain the un-stressed lattice parameter for calculating residual stresses
Journal of Materials Research and Technology, Vol. 23, pp. 1543-1558
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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Blood Glucose Prediction Using a Two Phase TSK Fuzzy Rule Based System
2021 IEEE Congress on Evolutionary Computation, CEC 2021 - Proceedings
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Glucose forecasting using genetic programming and latent glucose variability features
Applied Soft Computing
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Probabilistic Fitting of Glucose Models with Real-Coded Genetic Algorithms
2021 IEEE Congress on Evolutionary Computation, CEC 2021 - Proceedings
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
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Noise spectral analysis and error estimation of continuous glucose monitors under real-life conditions of diabetes patients
Biomedical Signal Processing and Control, Vol. 61
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Profiled glucose forecasting using genetic programming and clustering
Proceedings of the ACM Symposium on Applied Computing
2018
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Combining data augmentation, EDAs and grammatical evolution for blood glucose forecasting
Memetic Computing, Vol. 10, Núm. 3, pp. 267-277