Curtis G. Northcutt
About
Curtis G. Northcutt has authored 6 papers that have received a total of 442 indexed citations.
This includes 3 papers in Artificial Intelligence, 3 papers in Computer Science Applications and 1 paper in Computer Vision and Pattern Recognition. The topics of these papers are Anomaly Detection Techniques and Applications (2 papers), Online Learning and Analytics (2 papers) and Machine Learning and Data Classification (2 papers). Curtis G. Northcutt is often cited by papers focused on Anomaly Detection Techniques and Applications (2 papers), Online Learning and Analytics (2 papers) and Machine Learning and Data Classification (2 papers) and collaborates with scholars based in United States, Russia and Singapore. Curtis G. Northcutt's co-authors include Isaac L. Chuang, Andrew Ho, Lu Jiang, William Thies and Tailin Wu and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Computers & Education and Journal of Artificial Intelligence Research.
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