Janice R. Boughton

3 papers and 451 indexed citations i.

Janice R. Boughton is a scholar working on Artificial Intelligence, Statistics and Probability and Cell Biology. According to data from OpenAlex, Janice R. Boughton has authored 3 papers receiving a total of 451 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Artificial Intelligence, 1 paper in Statistics and Probability and 0 papers in Cell Biology. Recurrent topics in Janice R. Boughton’s work include Bayesian Modeling and Causal Inference (3 papers), Imbalanced Data Classification Techniques (2 papers) and Machine Learning and Data Classification (2 papers). Janice R. Boughton is often cited by papers focused on Bayesian Modeling and Causal Inference (3 papers), Imbalanced Data Classification Techniques (2 papers) and Machine Learning and Data Classification (2 papers). Janice R. Boughton collaborates with scholars based in Australia and Spain. Janice R. Boughton's co-authors include Geoffrey I. Webb, Kevin B. Korb, Kai Ming Ting, Jesüs Cerquides and Fei Zheng and has published in prestigious journals such as Machine Learning and IEEE Transactions on Knowledge and Data Engineering.