2 papers
cs.SE2025
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…
cs.CV2024
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…