Foster Provost

108 papers and 6.3k indexed citations .

Foster Provost is a scholar working on Artificial Intelligence, Information Systems and Management Science and Operations Research. According to data from OpenAlex, Foster Provost has authored 108 papers receiving a total of 6.3k indexed citations (citations by other indexed papers that have themselves been cited), including 67 papers in Artificial Intelligence, 35 papers in Information Systems and 17 papers in Management Science and Operations Research. Recurrent topics in Foster Provost’s work include Data Mining Algorithms and Applications (28 papers), Machine Learning and Data Classification (24 papers) and Imbalanced Data Classification Techniques (22 papers). Foster Provost is often cited by papers focused on Data Mining Algorithms and Applications (28 papers), Machine Learning and Data Classification (24 papers) and Imbalanced Data Classification Techniques (22 papers). Foster Provost collaborates with scholars based in United States, Switzerland and China. Foster Provost's co-authors include Tom Fawcett, Gary M. Weiss, Ron Kohavi, Pedro Domingos, Maytal Saar‐Tsechansky, David Martens, Sofus A. Macskassy, Claudia Perlich, Venkateswarlu Kolluri and Panagiotis G. Ipeirotis and has published in prestigious journals such as Management Science, MIS Quarterly and The American Historical Review.