Chris Drummond
About
Chris Drummond has authored 13 papers that have received a total of 363 indexed citations.
This includes 7 papers in Artificial Intelligence, 4 papers in Information Systems and 3 papers in Statistics, Probability and Uncertainty. The topics of these papers are Imbalanced Data Classification Techniques (3 papers), Anomaly Detection Techniques and Applications (2 papers) and Machine Learning and Data Classification (2 papers). Chris Drummond is often cited by papers focused on Imbalanced Data Classification Techniques (3 papers), Anomaly Detection Techniques and Applications (2 papers) and Machine Learning and Data Classification (2 papers) and collaborates with scholars based in Canada, United States and China. Chris Drummond's co-authors include Robert C. Holte, Craig R. Davison, Dan Ionescu, Zilong Song and Huaxiong Huang and has published in prestigious journals such as Journal of Computational Physics, IEEE Transactions on Software Engineering and Machine Learning
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