Brian Mac Namee
About
Brian Mac Namee has authored 64 papers that have received a total of 702 indexed citations.
This includes 38 papers in Artificial Intelligence, 10 papers in Computer Vision and Pattern Recognition and 7 papers in Experimental and Cognitive Psychology. The topics of these papers are Adaptation to Concept Drift in Data Streams (10 papers), Anomaly Detection Techniques and Applications (9 papers) and Machine Learning and Data Classification (8 papers). Brian Mac Namee is often cited by papers focused on Adaptation to Concept Drift in Data Streams (10 papers), Anomaly Detection Techniques and Applications (9 papers) and Machine Learning and Data Classification (8 papers) and collaborates with scholars based in Ireland, United Kingdom and China. Brian Mac Namee's co-authors include Sarah Jane Delany, John D. Kelleher, Elizabeth Hunter, Arjun Pakrashi and James McLaughlin and has published in prestigious journals such as PLoS ONE, Journal of Dairy Science and Expert Systems with Applications.
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