13 citations · 15 across the 4 of their papers we have counts for
4 papers
Grokking as an entanglement transition in tensor network machine learning
Domenico Pomarico, Alfonso Monaco, Giuseppe Magnifico +11
Grokking is a intriguing phenomenon in machine learning where a neural network, after many training iterations with negligible improvement in generalization, suddenly achieves high…
Efficient and Visualizable Convolutional Neural Networks for COVID-19 Classification Using Chest CT
Aksh Garg, Sana Salehi, Marianna La Rocca +2
With COVID-19 cases rising rapidly, deep learning has emerged as a promising diagnosis technique. However, identifying the most accurate models to characterize COVID-19 patients is…
Prediction of Epilepsy Development in Traumatic Brain Injury Patients from Diffusion Weighted MRI
Md Navid Akbar, Marianna La Rocca, Rachael Garner +2
Post-traumatic epilepsy (PTE) is a life-long complication of traumatic brain injury (TBI) and is a major public health problem that has an estimated incidence that ranges from 2%-5…
Brain structural connectivity atrophy in Alzheimer's disease
Nicola Amoroso, Marianna La Rocca, Stefania Bruno +4
Analysis and quantification of brain structural changes, using Magnetic resonance imaging (MRI), are increasingly used to define novel biomarkers of brain pathologies, such as Alzh…