Amit Neil Ramkissoon

Orcid: 0000-0003-2164-3366

According to our database1, Amit Neil Ramkissoon authored at least 11 papers between 2020 and 2024.

Collaborative distances:
  • Dijkstra number2 of six.
  • Erdős number3 of six.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Developing a Feature Set from Scene and Texture Features for Detecting Neural Texture Videos Using Boosted Decision Trees.
Rev. Socionetwork Strateg., November, 2024

Evaluating the Network Performance of the Ensembled-Based Veracity Architecture for Fake News Detection in Infrastructureless Social Networks.
Rev. Socionetwork Strateg., November, 2024

2023
Examining the Robustness of an Ensemble Learning Model for Credibility Based Fake News Detection.
Proceedings of the Image Analysis and Processing - ICIAP 2023 Workshops, 2023

A Feature Set for Neural Texture Video Detection Based on Scenes and Textures.
Proceedings of the IEEE International Conference on Data Mining, 2023

2022
Enhancing the Predictive Performance of Credibility-Based Fake News Detection Using Ensemble Learning.
Rev. Socionetwork Strateg., 2022

Detecting Fake News in MANET Messaging Using an Ensemble Based Computational Social System.
Proceedings of the Image Analysis and Processing. ICIAP 2022 Workshops, 2022

Scene and Texture Based Feature Set for DeepFake Video Detection.
Proceedings of the IEEE International Conference on Data Mining Workshops, 2022

An Energy-Efficient Ensemble-Based Computational Social System for Fake News Detection in MANET Messaging.
Proceedings of the Eighth IEEE International Conference on Big Data Computing Service and Applications, 2022

2021
Determining an Optimal Data Classification Model for Credibility-Based Fake News Detection.
Rev. Socionetwork Strateg., 2021

Legitimacy: An Ensemble Learning Model for Credibility Based Fake News Detection.
Proceedings of the 2021 International Conference on Data Mining, 2021

2020
An Experimental Evaluation of Data Classification Models for Credibility Based Fake News Detection.
Proceedings of the 20th International Conference on Data Mining Workshops, 2020


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