Chris Drummond

13 papers and 369 indexed citations i.

Chris Drummond is a scholar working on Artificial Intelligence, Information Systems and Statistics, Probability and Uncertainty. According to data from OpenAlex, Chris Drummond has authored 13 papers receiving a total of 369 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Artificial Intelligence, 4 papers in Information Systems and 3 papers in Statistics, Probability and Uncertainty. Recurrent topics in Chris Drummond’s work include Imbalanced Data Classification Techniques (3 papers), Machine Learning and Algorithms (2 papers) and Model Reduction and Neural Networks (2 papers). Chris Drummond is often cited by papers focused on Imbalanced Data Classification Techniques (3 papers), Machine Learning and Algorithms (2 papers) and Model Reduction and Neural Networks (2 papers). Chris Drummond collaborates with scholars based in Canada, United States and Poland. Chris Drummond's co-authors include Robert C. Holte, Craig R. Davison, Zilong Song, Huaxiong Huang and Dan Ionescu and has published in prestigious journals such as Journal of Computational Physics, IEEE Transactions on Software Engineering and Machine Learning.