Publikationen, an denen er mitarbeitet Ylermi Cabrera León (13)

2024

  1. Current trends on the early diagnosis of Alzheimer’s Disease by means of neural computation methods

    International Journal of Electronics and Telecommunications, Vol. 70, Núm. 2, pp. 277-283

  2. Early diagnosis of Alzheimer’s disease based on the supervised reconfigurable growing neural gas. Towards an eHealth solution

    1st Congress Bridge to Africa: Las Palmas de Gran Canaria, 20-25.02.2024

  3. Neural Computation-Based Methods for the Early Diagnosis and Prognosis of Alzheimer’s Disease Not Using Neuroimaging Biomarkers: A Systematic Review

    Journal of Alzheimer's Disease, Vol. 98, Núm. 3, pp. 793-823

  4. Toward an intelligent computing system for the early diagnosis of Alzheimer’s disease based on the modular hybrid growing neural gas

    Digital Health, Vol. 10

2023

  1. Modeling the implications of nitric oxide dynamics on information transmission: An automata networks approach

    AIMS Mathematics, Vol. 8, Núm. 12, pp. 30142-30181

  2. Study on Mild Cognitive Impairment and Alzheimer's Disease Classification Using a New Ontogenic Neural Architecture, the Supervised Reconfigurable Growing Neural Gas

    Proceedings of the 2023 Annual Modeling and Simulation Conference, ANNSIM 2023

2022

  1. Volume Signaling and Neural-Indexing by Nitric Oxide in Artificial Neural Networks

    IEEE Access, Vol. 10, pp. 82246-82258

2021

  1. A Real-Time Clinical Decision Support System, for Mild Cognitive Impairment Detection, Based on a Hybrid Neural Architecture

    Computational and Mathematical Methods in Medicine, Vol. 2021

  2. Detection of Alzheimer’s Disease Versus Mild Cognitive Impairment Using a New Modular Hybrid Neural Network

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

2019

  1. E-mail spam filter based on unsupervised neural architectures and thematic categories: Design and analysis

    Studies in Computational Intelligence (Springer Verlag), pp. 239-262

2018

  1. Classification of Mild Cognitive Impairment Stages Using Machine Learning Methods

    INES 2018 - IEEE 22nd International Conference on Intelligent Engineering Systems, Proceedings

  2. Non-email spam and machine learning-based anti-spam filters: Trends and some remarks

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

2016

  1. Self-organizing maps in the design of anti-spam filters a proposal based on thematic categories

    IJCCI 2016 - Proceedings of the 8th International Joint Conference on Computational Intelligence