most citedPhysics-driven machine learning for the prediction of coronal mass ejections' travel times

1 citations · 1 across the 8 of their papers we have counts for

collaborators
Showing cs.LGShow all

1 paper · 1 filter

cs.LG2023

A comprehensive theoretical framework for the optimization of neural networks classification performance with respect to weighted metrics

Francesco Marchetti, Sabrina Guastavino, Cristina Campi +2

In many contexts, customized and weighted classification scores are designed in order to evaluate the goodness of the predictions carried out by neural networks. However, there exi…