24 citations · 73 across the 15 of their papers we have counts for
5 papers · 1 filter
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…
A singular Riemannian geometry approach to Deep Neural Networks II. Reconstruction of 1-D equivalence classes
Alessandro Benfenati, Alessio Marta
In a previous work, we proposed a geometric framework to study a deep neural network, seen as sequence of maps between manifolds, employing singular Riemannian geometry. In this pa…
A Deep Learning Generative Model Approach for Image Synthesis of Plant Leaves
Alessandro Benfenati, Davide Bolzi, Paola Causin +1
Objectives. We generate via advanced Deep Learning (DL) techniques artificial leaf images in an automatized way. We aim to dispose of a source of training samples for AI applicatio…
A Learned-SVD approach for Regularization in Diffuse Optical Tomography
Alessandro Benfenati, Giuseppe Bisazza, Paola Causin
Diffuse Optical Tomography (DOT) is an emerging technology in medical imaging which employs light in the NIR spectrum to estimate the distribution of optical coefficients in biolog…
Binary interaction methods for high dimensional global optimization and machine learning
Alessandro Benfenati, Giacomo Borghi, Lorenzo Pareschi
In this work we introduce a new class of gradient-free global optimization methods based on a binary interaction dynamics governed by a Boltzmann type equation. In each interaction…