output
20032026
most citedDisease Prediction using Graph Convolutional Networks: Application to Autism Spectrum Disorder and Alzheimer's Disease

814 citations

Showing 2018Show all

5 papers · 1 filter

cs.CV2018★ 5 cited

Left ventricle quantification through spatio-temporal CNNs

Alejandro Debus, Enzo Ferrante

Cardiovascular diseases are among the leading causes of death globally. Cardiac left ventricle (LV) quantification is known to be one of the most important tasks for the identifica…

stat.ML2018★ 814 cited

Disease Prediction using Graph Convolutional Networks: Application to Autism Spectrum Disorder and Alzheimer's Disease

Sarah Parisot, Sofia Ira Ktena, Enzo Ferrante +4

Graphs are widely used as a natural framework that captures interactions between individual elements represented as nodes in a graph. In medical applications, specifically, nodes c…

cs.AI2018

A Cognitive Approach to Real-time Rescheduling using SOAR-RL

Juan Cruz Barsce, Jorge A. Palombarini, Ernesto C. Martínez

Ensuring flexible and efficient manufacturing of customized products in an increasing dynamic and turbulent environment without sacrificing cost effectiveness, product quality and…

math.LO2018

Epistemic BL-Algebras

Manuela Busaniche, Penélope Cordero, Ricardo O. Rodríguez

Fuzzy Epistemic Logic is an important formalism for approximate reasoning. It extends the well known basic propositional logic BL, introduced by Hájek, by offering the ability to r…

math.FA2018

Function spaces of coercivity for the fractional Laplacian in spaces of homogeneous type

Hugo Aimar, Ivana Gómez

We combine dyadic analysis through Haar type wavelets defined on Christ's families of generalized cubes, and Lax-Milgram theorem, in order to prove existence of Green's functions f…