Proyectos
Creación de la Nube Académica Computacional de la UCR (NAC)
Diseño automático de hiperparámetros en redes neuronales artificiales profundas mediante computación evolutiva
Evaluación de algoritmos de computación evolutiva para el entrenamiento de redes de neuronas artificiales, aplicada a la detección temprana de Alzheimer
Publicaciones
Infosec-Tree Model: An Applied, In-depth, and Structured Information Security Model for Computer and Network Systems
Tipo de publicación: Journal Article
Publicado en: Journal of Internet Technology and Secured Transaction
An applied methodology for information security and assurance: A study case for cloud computing
Tipo de publicación: Conference Paper
Publicado en: Internet Technology and Secured Transactions (ICITST), 2014 9th International Conference for
Alzheimer’s Disease Early Detection Using a Low Cost Three-Dimensional Densenet-121 Architecture
Descripción:
The objective of this work is to detect Alzheimer’s disease using Magnetic Resonance Imaging. For this, we use a three-dimensional densenet-121 architecture. With the use of only freely available tools, we obtain good results: a deep neural network showing metrics of 87% accuracy, 87% sensitivity (micro-average), 88% specificity (micro-average), and 92% AUROC (micro-average) for the task of classifying five different classes (disease stages). The use of tools available for free means that this work can be replicated in developing countries.
Tipo de publicación: Conference Paper
Publicado en: Lecture Notes in Computer Science