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cs.LG2024
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…
cs.LG2024
SIMAP: A simplicial-map layer for neural networks
Rocio Gonzalez-Diaz, Miguel A. Gutiérrez-Naranjo, Eduardo Paluzo-Hidalgo
In this paper, we present SIMAP, a novel layer integrated into deep learning models, aimed at enhancing the interpretability of the output. The SIMAP layer is an enhanced version o…