3 papers
cs.SI2021
Trends, Politics, Sentiments, and Misinformation: Understanding People's Reactions to COVID-19 During its Early Stages
Omar Abdel Wahab, Ali Mustafa, André Bertrand Abisseck Bamatakina
The sudden outbreak of COVID-19 resulted in large volumes of data shared on different social media platforms. Analyzing and visualizing these data is doubtlessly essential to havin…
cs.IR2020
A two-level solution to fight against dishonest opinions in recommendation-based trust systems
Omar Abdel Wahab, Jamal Bentahar, Robin Cohen +2
In this paper, we propose a mechanism to deal with dishonest opinions in recommendation-based trust models, at both the collection and processing levels. We consider a scenario in…
cs.LG2019
Generative Adversarial Networks for Mitigating Biases in Machine Learning Systems
Adel Abusitta, Esma Aïmeur, Omar Abdel Wahab
In this paper, we propose a new framework for mitigating biases in machine learning systems. The problem of the existing mitigation approaches is that they are model-oriented in th…