activity
20202026
most citedEfficient Adaptive Ensembling for Image Classification

32 citations · 58 across the 6 of their papers we have counts for

collaborators

6 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…

cs.CV2023★ 2 cited

Medical Waste Sorting: a computer vision approach for assisted primary sorting

A. Bruno, C. Caudai, G. R. Leone +3

Medical waste, i.e. waste produced during medical activities in hospitals, clinics and laboratories, represents hazardous waste whose management involves special care and high cost…

cs.CV2022★ 32 cited

Efficient Adaptive Ensembling for Image Classification

Antonio Bruno, Davide Moroni, Massimo Martinelli

In recent times, with the exception of sporadic cases, the trend in Computer Vision is to achieve minor improvements compared to considerable increases in complexity. To reverse th…

cs.CV2020★ 24 cited

From Human Mesenchymal Stromal Cells to Osteosarcoma Cells Classification by Deep Learning

Mario D'Acunto, Massimo Martinelli, Davide Moroni

Early diagnosis of cancer often allows for a more vast choice of therapy opportunities. After a cancer diagnosis, staging provides essential information about the extent of disease…