8 citations · 23 across the 4 of their papers we have counts for
4 papers
Fluorescent Neuronal Cells v2: Multi-Task, Multi-Format Annotations for Deep Learning in Microscopy
Luca Clissa, Antonio Macaluso, Roberto Morelli +9
Fluorescent Neuronal Cells v2 is a collection of fluorescence microscopy images and the corresponding ground-truth annotations, designed to foster innovative research in the domain…
Quantum Splines for Non-Linear Approximations
Antonio Macaluso, Luca Clissa, Stefano Lodi +1
Quantum Computing offers a new paradigm for efficient computing and many AI applications could benefit from its potential boost in performance. However, the main limitation is the…
Automatic Cell Counting in Flourescent Microscopy Using Deep Learning
R. Morelli, L. Clissa, M. Dalla +3
Counting cells in fluorescent microscopy is a tedious, time-consuming task that researchers have to accomplish to assess the effects of different experimental conditions on biologi…
Quantum Ensemble for Classification
Antonio Macaluso, Luca Clissa, Stefano Lodi +1
A powerful way to improve performance in machine learning is to construct an ensemble that combines the predictions of multiple models. Ensemble methods are often much more accurat…