3 papers
eess.IV2026
Visible and Hyperspectral Imaging for Quality Assessment of Milk: Property Characterisation and Identification
Massimo Martinelli, Elena Tomassi, Nafiou Arouna +8
Rapid and non-destructive assessment of milk quality is crucial to ensuring both nutritional value and food safety. In this study, we investigated the potential of visible and hype…
cs.AI2025
Batch-CAM: Introduction to better reasoning in convolutional deep learning models
Giacomo Ignesti, Davide Moroni, Massimo Martinelli
Deep learning opacity often impedes deployment in high-stakes domains. We propose a training framework that aligns model focus with class-representative features without requiring…
cs.LG2023
Are We Using Autoencoders in a Wrong Way?
Gabriele Martino, Davide Moroni, Massimo Martinelli
Autoencoders are certainly among the most studied and used Deep Learning models: the idea behind them is to train a model in order to reconstruct the same input data. The peculiari…