Publicaciones en colaboración con investigadores/as de Universidad Rey Juan Carlos (15)

2022

  1. 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

  2. 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)

2020

  1. Analysis of the performance of genetic programming on the blood glucose level prediction challenge 2020

    CEUR Workshop Proceedings

  2. Profiled glucose forecasting using genetic programming and clustering

    Proceedings of the ACM Symposium on Applied Computing

  3. Short and Medium Term Blood Glucose Prediction Using Multi-objective Grammatical Evolution

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

2019

  1. Determination of microscopic residual stresses using diffraction methods, EBSD maps, and evolutionary algorithms

    GECCO 2019 Companion - Proceedings of the 2019 Genetic and Evolutionary Computation Conference Companion

  2. Structured grammatical evolution for glucose prediction in diabetic patients

    GECCO 2019 - Proceedings of the 2019 Genetic and Evolutionary Computation Conference

2018

  1. Identification of models for glucose blood values in diabetics by grammatical evolution

    Handbook of Grammatical Evolution (Springer International Publishing), pp. 367-393

2017

  1. Data Based Prediction of Blood Glucose Concentrations Using Evolutionary Methods

    Journal of Medical Systems, Vol. 41, Núm. 9

  2. Enhancing grammatical evolution through data augmentation: Application to blood glucose forecasting

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

2016

  1. Compilable phenotypes: Speeding-up the evaluation of glucose models in grammatical evolution

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

  2. Optimizing L1 cache for embedded systems through grammatical evolution

    Soft Computing, Vol. 20, Núm. 6, pp. 2451-2465

2015

  1. Optimizing performance of L1 cache memory for embedded systems driven by differential evolution

    GECCO 2015 - Companion Publication of the 2015 Genetic and Evolutionary Computation Conference