José Manuel Velasco
Orcid: 0000-0001-5993-2521
According to our database1,
José Manuel Velasco
authored at least 34 papers
between 2004 and 2024.
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Bibliography
2024
Building uncertainty-aware mathematical models based on evidence from datasets using grammatical evolution optimization techniques: the case of the obesity dynamics.
Comput. Appl. Math., December, 2024
Learning Difference Equations With Structured Grammatical Evolution for Postprandial Glycaemia Prediction.
IEEE J. Biomed. Health Informatics, May, 2024
2023
Patterns Detection in Glucose Time Series by Domain Transformations and Deep Learning.
CoRR, 2023
Proceedings of the Genetic Programming Theory and Practice XX [GPTP 2023], 2023
Modelling the Transmission Dynamics of Obesity: A Multi-Objective Approach Using Dynamic Structured Grammatical Evolution.
Proceedings of the Companion Proceedings of the Conference on Genetic and Evolutionary Computation, 2023
2022
Blood glucose prediction using multi-objective grammatical evolution: analysis of the "agnostic" and "what-if" scenarios.
Genet. Program. Evolvable Mach., 2022
Approaching epistemic and aleatoric uncertainty with evolutionary optimization: examples and challenges.
Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Companion Volume, Boston, Massachusetts, USA, July 9, 2022
Combining the Properties of Random Forest with Grammatical Evolution to Construct Ensemble Models.
Proceedings of the Applications of Evolutionary Computation - 25th European Conference, 2022
Obtaining Difference Equations for Glucose Prediction by Structured Grammatical Evolution and Sparse Identification.
Proceedings of the Computer Aided Systems Theory - EUROCAST 2022, 2022
2021
Glucose forecasting using genetic programming and latent glucose variability features.
Appl. Soft Comput., 2021
Proceedings of the IEEE Congress on Evolutionary Computation, 2021
Proceedings of the IEEE Congress on Evolutionary Computation, 2021
2020
Noise spectral analysis and error estimation of continuous glucose monitors under real-life conditions of diabetes patients.
Biomed. Signal Process. Control., 2020
Glucose forecasting combining Markov chain based enrichment of data, random grammatical evolution and Bagging.
Appl. Soft Comput., 2020
Proceedings of the SAC '20: The 35th ACM/SIGAPP Symposium on Applied Computing, online event, [Brno, Czech Republic], March 30, 2020
Analysis of the performance of Genetic Programming on the Blood Glucose Level Prediction Challenge 2020.
Proceedings of the 5th International Workshop on Knowledge Discovery in Healthcare Data co-located with 24th European Conference on Artificial Intelligence, 2020
2019
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2019
2018
Combining data augmentation, EDAs and grammatical evolution for blood glucose forecasting.
Memetic Comput., 2018
Identification of Models for Glucose Blood Values in Diabetics by Grammatical Evolution.
Proceedings of the Handbook of Grammatical Evolution, 2018
2017
Genet. Program. Evolvable Mach., 2017
Forecasting glucose levels in patients with diabetes mellitus using semantic grammatical evolution and symbolic aggregate approximation.
Proceedings of the Genetic and Evolutionary Computation Conference, 2017
Enhancing Grammatical Evolution Through Data Augmentation: Application to Blood Glucose Forecasting.
Proceedings of the Applications of Evolutionary Computation - 20th European Conference, 2017
Proceedings of the Applications of Evolutionary Computation - 20th European Conference, 2017
Data augmentation and evolutionary algorithms to improve the prediction of blood glucose levels in scarcity of training data.
Proceedings of the 2017 IEEE Congress on Evolutionary Computation, 2017
2016
Compilable Phenotypes: Speeding-Up the Evaluation of Glucose Models in Grammatical Evolution.
Proceedings of the Applications of Evolutionary Computation - 19th European Conference, 2016
2015
Proceedings of the Genetic and Evolutionary Computation Conference, 2015
2012
Memory power optimization of Java-based embedded systems exploiting garbage collection information.
J. Syst. Archit., 2012
2009
Exploration of memory hierarchy configurations for efficient garbage collection on high-performance embedded systems.
Proceedings of the 19th ACM Great Lakes Symposium on VLSI 2009, 2009
2007
Efficient Object Placement including Node Selection in a Distributed Virtual Machine.
Proceedings of the Parallel Computing: Architectures, 2007
2005
Energy Characterization of Garbage Collectors for Dynamic Applications on Embedded Systems.
Proceedings of the Integrated Circuit and System Design, 2005
Performance Evaluation of Barrier Techniques for Distributed Tracing Garbage Collectors.
Proceedings of the Parallel Computing: Current & Future Issues of High-End Computing, 2005
2004
Proceedings of the ECOOP 2004, 2004
Proceedings of the 8th Annual Workshop on Interaction between Compilers and Computer Architecture (INTERACT-8 2004), 2004
Garbage Collector Refinement for New Dynamic Multimedia Applications on Embedded Systems.
Proceedings of the 8th Annual Workshop on Interaction between Compilers and Computer Architecture (INTERACT-8 2004), 2004