A Heuristic-driven Uncertainty based Ensemble Framework for Fake News Detection in Tweets and News Articles

5 April 2021

Papers citing "A Heuristic-driven Uncertainty based Ensemble Framework for Fake News Detection in Tweets and News Articles"

8 / 8 papers shown

Title
A Comparative Study on COVID-19 Fake News Detection Using Different Transformer Based Models Sajib Kumar Saha Joy Dibyo Fabian Dofadar Riyo Hayat Khan M. Ahmed Rafeed Rahman MedIm 22 5 0 02 Aug 2022
MiDAS: Multi-integrated Domain Adaptive Supervision for Fake News Detection Abhijit Suprem C. Pu 33 7 0 19 May 2022
Model Generalization on COVID-19 Fake News Detection Yejin Bang Etsuko Ishii Samuel Cahyawijaya Ziwei Ji Pascale Fung 29 36 0 11 Jan 2021
Constraint 2021: Machine Learning Models for COVID-19 Fake News Detection Shared Task T. Felber 40 24 0 11 Jan 2021
Combating Hostility: Covid-19 Fake News and Hostile Post Detection in Social Media Omar Sharif E. Hossain M. M. Hoque 30 20 0 09 Jan 2021
Exploring Text-transformers in AAAI 2021 Shared Task: COVID-19 Fake News Detection in English Xiangyang Li Yu Xia Xiang Long Zheng Li Sujian Li 215 37 0 07 Jan 2021
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles Balaji Lakshminarayanan Alexander Pritzel Charles Blundell UQCV BDL 268 5,660 0 05 Dec 2016
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 249 9,134 0 06 Jun 2015