Efficient Fake News Detection using Bagging Ensembles of Bidirectional Echo State Networks-Reference-Cited by-同舟云学术

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Efficient Fake News Detection using Bagging Ensembles of Bidirectional Echo State Networks

Published:2022-07-18 Issue: Volume: Page:
ISSN:
Container-title:2022 International Joint Conference on Neural Networks (IJCNN)
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Author:

Del Ser Javier¹,Bilbao Miren Nekane²,Lana Ibai¹,Muhammad Khan³,Camacho David⁴

Affiliation:

1. TECNALIA, Basque Research and Technology Alliance (BRTA),Derio,Bizkaia,Spain,48160

2. University of the Basque Country (UPV/EHU),Bilbao,Bizkaia,Spain,48013

3. College of Computing and Informatics, Sungkyunkwan University,Seoul,Republic of Korea,03063

4. Universidad Politécnica de Madrid,Computer Systems Engineering Department,Spain

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9891857/9889787/09892331.pdf?arnumber=9892331

Reference34 articles.

1. A benchmark study of machine learning models for online fake news detection

2. "Liar, Liar Pants on Fire": A New Benchmark Dataset for Fake News Detection

3. Reservoir Computing Approaches for Representation and Classification of Multivariate Time Series

4. A review of designs and applications of echo state networks;sun;ArXiv,2020

5. Which Hype for My New Task? Hints and Random Search for Echo State Networks Hyperparameters

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