Tipo de publicación: book

A 3D convolutional neural network approach for the diagnosis of Parkinson’s disease

Classification Improvement for Parkinson’s Disease Diagnosis Using the Gradient Magnitude in DaTSCAN SPECT Images

Deep Convolutional Autoencoders vs PCA in a Highly-Unbalanced Parkinson’s Disease Dataset: A DaTSCAN Study

Isosurface Modelling of DatSCAN Images for Parkinson Disease Diagnosis

Big Data Preprocessing: Enabling Smart Data

A local genetic algorithm for binary-coded problems

Study of the influence of the local search method in memetic algorithms for large scale continuous optimization problems

Memetic algorithm for intense local search methods using local search chains

Authoring and management tools for adaptive educational hypermedia systems: The AHA! case study

Evolutionary combining of basis function neural networks for classification