Salman Salloum
About
Salman Salloum has authored 9 papers that have received a total of 411 indexed citations.
This includes 7 papers in Artificial Intelligence, 4 papers in Computer Vision and Pattern Recognition and 4 papers in Computer Networks and Communications. The topics of these papers are Machine Learning and Data Classification (3 papers), Adaptation to Concept Drift in Data Streams (3 papers) and Imbalanced Data Classification Techniques (2 papers). Salman Salloum is often cited by papers focused on Machine Learning and Data Classification (3 papers), Adaptation to Concept Drift in Data Streams (3 papers) and Imbalanced Data Classification Techniques (2 papers) and collaborates with scholars based in China, Singapore and Macao. Salman Salloum's co-authors include Joshua Zhexue Huang, Yulin He, Mohammad Sultan Mahmud, Philippe Fournier‐Viger and Xiaojun Chen and has published in prestigious journals such as IEEE Access, IEEE Transactions on Industrial Informatics and Journal Of Big Data
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