Optimized Fake News Classification: Leveraging Ensembles Learning and Parameter Tuning in Machine and Deep Learning Methods

Author:

Alguttar Abubaker A.12ORCID,Shaaban Osama A.1,Yildirim Remzi3

Affiliation:

1. Graduate School of Natural and Applied Science, Ankara Yildirim Beyazit University, Ankara, Turkey

2. Faculty of Information Technology, Misurata University, Misurata, Libya

3. Department of Computer Engineering, Tokat Gaziosmanpaşa University, Tokat, Turkey

Publisher

Informa UK Limited

Reference49 articles.

1. Hybrid stacked ensemble combined with genetic algorithms for diabetes prediction

2. Abdulrahman, A., and M. Baykara. 2020. Fake news detection using machine learning and deep learning algorithms. 2020 International Conference on Advanced Science and Engineering (ICOASE), Duhok, Iraq, IEEE.

3. A neural network based linear ensemble framework for time series forecasting

4. Alexandropoulos, S.-A. N., C. K. Aridas, S. B. Kotsiantis, and M. N. Vrahatis. 2019. Stacking strong ensembles of classifiers. Artificial Intelligence Applications and Innovations: 15th IFIP WG 12.5 International Conference, AIAI 2019, Proceedings 15, Hersonissos, Crete, Greece, May 24–26, 2019, Springer.

5. Data classification using support vector machine (SVM), a simplified approach;Amarappa S.;International Journal of Electrical and Computer Engineering,2014

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