1 citations · 1 across the 3 of their papers we have counts for
3 papers
Barycentric Neural Networks and Length-Weighted Persistent Entropy Loss: A Green Geometric and Topological Framework for Function Approximation
Victor Toscano-Duran, Rocio Gonzalez-Diaz, Miguel A. Gutiérrez-Naranjo
While artificial neural networks are known as universal approximators for continuous functions, many modern approaches rely on overparameterized architectures with high computation…
Application of the representative measure approach to assess the reliability of decision trees in dealing with unseen vehicle collision data
Javier Perera-Lago, Víctor Toscano-Durán, Eduardo Paluzo-Hidalgo +2
Machine learning algorithms are fundamental components of novel data-informed Artificial Intelligence architecture. In this domain, the imperative role of representative datasets i…
An In-Depth Analysis of Data Reduction Methods for Sustainable Deep Learning
Víctor Toscano-Durán, Javier Perera-Lago, Eduardo Paluzo-Hidalgo +3
In recent years, Deep Learning has gained popularity for its ability to solve complex classification tasks, increasingly delivering better results thanks to the development of more…