3 citations · 3 across the 2 of their papers we have counts for
3 papers
cs.LG2021★ 3 cited
Interpretable Neural Networks based classifiers for categorical inputs
Stefano Zamuner, Paolo De Los Rios
Because of the pervasive usage of Neural Networks in human sensitive applications, their interpretability is becoming an increasingly important topic in machine learning. In this w…
cond-mat.soft2020
Computational Pipeline to probe NaV1.7 gain-of-functions variants in neuropathic painful syndromes
Alberto Toffano, Giacomo Chiarot, Stefano Zamuner +7
Applications of machine learning and graph theory techniques to neuroscience have witnessed an increased interest in the last decade due to the large data availability and unpreced…
physics.bio-ph2019
Mechanics of allostery: contrasting the induced fit and population shift scenarios
Riccardo Ravasio, Solange Flatt, Le Yan +3
In allosteric proteins, binding a ligand can affect function at a distant location, for example by changing the binding affinity of a substrate at the active site. The induced fit…