28 citations · 91 across the 19 of their papers we have counts for
3 papers · 1 filter
Structural Restricted Boltzmann Machine for image denoising and classification
Arkaitz Bidaurrazaga, Aritz Pérez, Roberto Santana
Restricted Boltzmann Machines are generative models that consist of a layer of hidden variables connected to another layer of visible units, and they are used to model the distribu…
Neuroevolutionary algorithms driven by neuron coverage metrics for semi-supervised classification
Roberto Santana, Ivan Hidalgo-Cenalmor, Unai Garciarena +2
In some machine learning applications the availability of labeled instances for supervised classification is limited while unlabeled instances are abundant. Semi-supervised learnin…
On the Generalization of PINNs outside the training domain and the Hyperparameters influencing it
Andrea Bonfanti, Roberto Santana, Marco Ellero +1
Physics-Informed Neural Networks (PINNs) are Neural Network architectures trained to emulate solutions of differential equations without the necessity of solution data. They are cu…