2 citations · 2 across the 3 of their papers we have counts for
3 papers
Enhancing Cell Counting through MLOps: A Structured Approach for Automated Cell Analysis
Matteo Testi, Luca Clissa, Matteo Ballabio +5
Machine Learning (ML) models offer significant potential for advancing cell counting applications in neuroscience, medical research, pharmaceutical development, and environmental m…
A preliminary study on continual learning in computer vision using Kolmogorov-Arnold Networks
Alessandro Cacciatore, Valerio Morelli, Federica Paganica +3
Deep learning has long been dominated by multi-layer perceptrons (MLPs), which have demonstrated superiority over other optimizable models in various domains. Recently, a new alter…
A Federated Learning Framework for Stenosis Detection
Mariachiara Di Cosmo, Giovanna Migliorelli, Matteo Francioni +6
This study explores the use of Federated Learning (FL) for stenosis detection in coronary angiography images (CA). Two heterogeneous datasets from two institutions were considered:…