Bart Baesens
About
Bart Baesens has authored 188 papers that have received a total of 8.9k indexed citations.
This includes 90 papers in Artificial Intelligence, 86 papers in Information Systems and 42 papers in Accounting. The topics of these papers are Imbalanced Data Classification Techniques (56 papers), Financial Distress and Bankruptcy Prediction (38 papers) and Customer churn and segmentation (37 papers). Bart Baesens is often cited by papers focused on Imbalanced Data Classification Techniques (56 papers), Financial Distress and Bankruptcy Prediction (38 papers) and Customer churn and segmentation (37 papers) and collaborates with scholars based in Belgium, United Kingdom and United States. Bart Baesens's co-authors include Jan Vanthienen, Tony Van Gestel, David Martens, Wouter Verbeke and Jochen De Weerdt and has published in prestigious journals such as Management Science, European Journal of Operational Research and MIS Quarterly
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