Shebuti Rayana

2 papers and 96 indexed citations i.

Shebuti Rayana is a scholar working on Artificial Intelligence, Epidemiology and Computer Networks and Communications. According to data from OpenAlex, Shebuti Rayana has authored 2 papers receiving a total of 96 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Artificial Intelligence, 1 paper in Epidemiology and 1 paper in Computer Networks and Communications. Recurrent topics in Shebuti Rayana’s work include Anomaly Detection Techniques and Applications (2 papers), Adversarial Robustness in Machine Learning (1 paper) and Data-Driven Disease Surveillance (1 paper). Shebuti Rayana is often cited by papers focused on Anomaly Detection Techniques and Applications (2 papers), Adversarial Robustness in Machine Learning (1 paper) and Data-Driven Disease Surveillance (1 paper). Shebuti Rayana collaborates with scholars based in United States. Shebuti Rayana's co-authors include Leman Akoglu and Wen Zhong and has published in prestigious journals such as ACM Transactions on Knowledge Discovery from Data and arXiv (Cornell University).