Fake news detection using an ensemble learning model based on Self-Adaptive Harmony Search algorithms

Author:

Huang Yin-FuORCID,Chen Po-Hong

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Science Applications,General Engineering

Reference44 articles.

1. Aderghal, K., Benois-Pineau, J., Afdel, K., & Gwenaëlle, C. (2017). FuseMe: classification of sMRI images by fusion of deep CNNs in 2D+∊ projections. Proc. the 15th International Workshop on Content-Based Multimedia Indexing, Florence, Italy.

2. Ahmed, H., Traore, I., & Saad, S. (2017). Detection of online fake news using N-Gram analysis and machine learning techniques. Proc. International Conference on Intelligent, Secure, and Dependable Systems in Distributed and Cloud Environments, Vancouver, Canada.

3. Allsides. (n.d.). Retrieved from https://www.allsides.com/unbiased-balanced-news.

4. Britzky, H. (2017). Everything Trump has called “FAKE NEWS”. Retrieved from https://www.axios.com/everything-trump-has-called-fake-news-1513303959-6603329e-46b5-44ea-b6be-70d0b3bdb0ca.html.

5. Using convolutional 3D neural networks for user-independent continuous gesture recognition;Camgoz,2016

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