4 citations · 8 across the 4 of their papers we have counts for
4 papers
A singular Riemannian Geometry Approach to Deep Neural Networks III. Piecewise Differentiable Layers and Random Walks on -dimensional Classes
Alessandro Benfenati, Alessio Marta
Neural networks are playing a crucial role in everyday life, with the most modern generative models able to achieve impressive results. Nonetheless, their functioning is still not…
A Modular Deep Learning-based Approach for Diffuse Optical Tomography Reconstruction
Alessandro Benfenati, Paola Causin, Martina Quinteri
Medical imaging is nowadays a pillar in diagnostics and therapeutic follow-up. Current research tries to integrate established - but ionizing - tomographic techniques with technolo…
Majorization-Minimization for sparse SVMs
Alessandro Benfenati, Emilie Chouzenoux, Giorgia Franchini +5
Several decades ago, Support Vector Machines (SVMs) were introduced for performing binary classification tasks, under a supervised framework. Nowadays, they often outperform other…
Unsupervised deep learning techniques for powdery mildew recognition based on multispectral imaging
Alessandro Benfenati, Paola Causin, Roberto Oberti +1
Objectives. Sustainable management of plant diseases is an open challenge which has relevant economic and environmental impact. Optimal strategies rely on human expertise for field…