| Glucose forecasting combining markov chain based enrichment of data, random grammatical evolution and bagging JI Hidalgo, M Botella, JM Velasco, O Garnica, C Cervigón, R Martínez, ... Applied Soft Computing 88, 105923, 2020 | 29 | 2020 |
| Combining data augmentation, EDAs and grammatical evolution for blood glucose forecasting JM Velasco, O Garnica, J Lanchares, M Botella, JI Hidalgo Memetic Computing 10 (3), 267-277, 2018 | 27 | 2018 |
| Data augmentation and evolutionary algorithms to improve the prediction of blood glucose levels in scarcity of training data JM Velasco, O Garnica, S Contador, J Lanchares, E Maqueda, M Botella, ... 2017 IEEE congress on evolutionary computation (CEC), 2193-2200, 2017 | 25 | 2017 |
| Analysis of the performance of Genetic Programming on the Blood Glucose Level Prediction Challenge 2020. D Joedicke, G Kronberger, JM Colmenar, SM Winkler, JM Velasco, ... KDH@ ECAI 20, 141-145, 2020 | 22 | 2020 |
| Evaluating the influence of sleep quality and quantity on glycemic control in adults with type 1 diabetes M Botella-Serrano, JM Velasco, A Sánchez-Sánchez, O Garnica, ... Frontiers in endocrinology 14, 998881, 2023 | 19 | 2023 |
| Blood glucose prediction using multi-objective grammatical evolution: analysis of the “agnostic” and “what-if” scenarios S Contador, JM Colmenar, O Garnica, JM Velasco, JI Hidalgo Genetic Programming and Evolvable Machines 23 (2), 161-192, 2022 | 19 | 2022 |
| Combination of machine learning techniques to predict overweight/obesity in adults A Gutiérrez-Gallego, JJ Zamorano-León, D Parra-Rodríguez, ... Journal of Personalized Medicine 14 (8), 816, 2024 | 17 | 2024 |
| Enhancing grammatical evolution through data augmentation: application to blood glucose forecasting JM Velasco, O Garnica, S Contador, JM Colmenar, E Maqueda, M Botella, ... European Conference on the Applications of Evolutionary Computation, 142-157, 2017 | 17 | 2017 |
| Sustainable artificial intelligence systems: an energy efficiency approach I Hidalgo, F Fenández-de_Vega, J Ceberio, O Garnica, JM Velasco, ... Authorea Preprints, 2023 | 15 | 2023 |
| Expert system to model and forecast time series of epidemiological counts with applications to COVID-19 B González-Pérez, C Núñez, JL Sánchez, G Valverde, JM Velasco Mathematics 9 (13), 1485, 2021 | 14 | 2021 |
| Identification of models for glucose blood values in diabetics by grammatical evolution JI Hidalgo, JM Colmenar, JM Velasco, G Kronberger, SM Winkler, ... Handbook of Grammatical Evolution, 367-393, 2018 | 14 | 2018 |
| Combining wavelet transform with convolutional neural networks for hypoglycemia events prediction from CGM data J Alvarado, JM Velasco, F Chavez, F Fernández-de-Vega, JI Hidalgo Chemometrics and Intelligent Laboratory Systems 243, 105017, 2023 | 12 | 2023 |
| Glucose forecasting using genetic programming and latent glucose variability features S Contador, JM Velasco, O Garnica, JI Hidalgo Applied Soft Computing 110, 107609, 2021 | 11 | 2021 |
| Learning difference equations with structured grammatical evolution for postprandial glycaemia prediction D Parra, D Joedicke, JM Velasco, G Kronberger, JI Hidalgo IEEE Journal of Biomedical and Health Informatics 28 (5), 3067-3078, 2024 | 10 | 2024 |
| Can clustering improve glucose forecasting with genetic programming models? S Contador, JI Hidalgo, O Garnica, JM Velasco, J Lanchares Proceedings of the Genetic and Evolutionary Computation Conference Companion …, 2019 | 10 | 2019 |
| A hybrid automated trading system based on multi-objective grammatical evolution I Contreras, JI Hidalgo, L Nunez-Letamendia Journal of Intelligent & Fuzzy Systems 32 (3), 2461-2475, 2017 | 10 | 2017 |
| Adaptive tuning of reserved space in an appel collector JM Velasco, K Olcoz, F Tirado European Conference on Object-Oriented Programming, 542-558, 2004 | 10 | 2004 |
| Profiled glucose forecasting using genetic programming and clustering S Contador, JM Velasco, O Garnica, JI Hidalgo Proceedings of the 35th Annual ACM Symposium on Applied Computing, 529-536, 2020 | 9 | 2020 |
| Forecasting glucose levels in patients with diabetes mellitus using semantic grammatical evolution and symbolic aggregate approximation JM Velasco, O Garnica, S Contador, M Botella, J Lanchares, JI Hidalgo Proceedings of the Genetic and Evolutionary Computation Conference Companion …, 2017 | 9 | 2017 |
| An analysis of solutions based on Genetic Programming to solve problems of symbolic regression of data from continuous glucose monitoring JI Hidalgo, JM Velasco, J Lanchares, S Contador, O Garnica AEPIA, Granada, Spain, 26, 2018 | 8 | 2018 |
Jose Ignacio HIDALGOProfessor of Computer Science, Universidad Complutense de MadridVerified email at dacya.ucm.es
