Feb 4, 2020 · In this work, we propose a mechanism to detect fake news through a classifier based on weighted causal graphs. These graphs are specific hybrid ...
In this work, we propose a mechanism to detect fake news through a classifier based on weighted causal graphs. These graphs are specific hybrid models that are ...
Nov 4, 2020 · In this work, we propose a mechanism to detect fake news through a classifier based on weighted causal graphs. These graphs are specific hybrid ...
In this work, we propose a mechanism to detect fake news through a classifier based on weighted causal graphs. These graphs are specific hybrid models that are ...
In this work, we propose a mechanism to detect fake news through a classifier based on weighted causal graphs. These graphs are specific hybrid models that are ...
Feb 4, 2020 · The problem of fake news is accurately tackled by this model due to its hybrid nature between a symbolic and quantitative methodology, ...
Fake News Detection by Means of Uncertainty Weighted Causal Graphs. https://doi.org/10.1007/978-3-030-61705-9_2 ·. Journal: Lecture Notes in Computer Science ...
Fake news detection by means of uncertainty weighted causal graphs ; dc.language.iso, en-GB, es_ES ; dc.publisher, Universidad de Oviedo (Gijón, España), es_ES.
In this work, we propose a mechanism to detect fake news through a classifier based on weighted causal graphs. 1.
Título : Fake news detection by means of uncertainty weighted causal graphs. Autor : Garrido Merchán, Eduardo César · Puente Águeda, Cristina