24 citations · 34 across the 3 of their papers we have counts for
4 papers
DualFlexKAN: Dual-stage Kolmogorov-Arnold Networks with Independent Function Control
Andrés Ortiz, Nicolás J. Gallego-Molina, Carmen Jiménez-Mesa +2
Multi-Layer Perceptrons (MLPs) rely on pre-defined, fixed activation functions, imposing a static inductive bias that forces the network to approximate complex topologies solely th…
Statistical Agnostic Regression: a machine learning method to validate regression models
Juan M Gorriz, J. Ramirez, F. Segovia +3
Regression analysis is a central topic in statistical modeling, aimed at estimating the relationships between a dependent variable, commonly referred to as the response variable, a…
Revealing Patterns of Symptomatology in Parkinson's Disease: A Latent Space Analysis with 3D Convolutional Autoencoders
E. Delgado de las Heras, F. J. Martinez-Murcia, I. A. Illán +4
This work proposes the use of 3D convolutional variational autoencoders (CVAEs) to trace the changes and symptomatology produced by neurodegeneration in Parkinson's disease (PD). I…
Deep Learning in current Neuroimaging: a multivariate approach with power and type I error control but arguable generalization ability
Carmen Jiménez-Mesa, Javier Ramírez, John Suckling +5
Discriminative analysis in neuroimaging by means of deep/machine learning techniques is usually tested with validation techniques, whereas the associated statistical significance r…