Baesens, Bart

Baesens, Bart has 21 paper(s) in the AIS Basket corpus on Otero.

  1. A new perspective on classification: Optimally allocating limited resources to uncertain tasks — Decision Support Systems, 2024
  2. Explainable Learning Analytics: Assessing the stability of student success prediction models by means of explainable AI — Decision Support Systems, 2024
  3. CATCHM: A novel network-based credit card fraud detection method using node representation learning — Decision Support Systems, 2023
  4. Autoencoders for strategic decision support — Decision Support Systems, 2021
  5. Data engineering for fraud detection — Decision Support Systems, 2021
  6. A multi-objective approach for profit-driven feature selection in credit scoring — Decision Support Systems, 2019
  7. Predicting tax avoidance by means of social network analytics — Decision Support Systems, 2018
  8. Isolation-based conditional anomaly detection on mixed-attribute data to uncover workers' compensation fraud — Decision Support Systems, 2018
  9. A note on explicit versus implicit information for job recommendation — Decision Support Systems, 2017
  10. Enabling flexible location-aware business process modeling and execution — Decision Support Systems, 2016
  11. Determining the use of data quality metadata (DQM) for decision making purposes and its impact on decision outcomes — An exploratory study — Decision Support Systems, 2016
  12. Transformational Issues of Big Data and Analytics in Networked Business — MIS Quarterly, 2016
  13. APATE: A novel approach for automated credit card transaction fraud detection using network-based extensions — Decision Support Systems, 2015
  14. Predicting online channel acceptance with social network data — Decision Support Systems, 2014
  15. Comprehensive rule-based compliance checking and risk management with process mining — Decision Support Systems, 2013
  16. A multidimensional analysis of data quality for credit risk management: New insights and challenges — Information & Management, 2013
  17. Performance of classification models from a user perspective — Decision Support Systems, 2011
  18. An empirical evaluation of the comprehensibility of decision table, tree and rule based predictive models — Decision Support Systems, 2011
  19. Inferring comprehensible business/ICT alignment rules — Information & Management, 2009
  20. Predicting going concern opinion with data mining — Decision Support Systems, 2008
  21. A process model to develop an internal rating system: Sovereign credit ratings — Decision Support Systems, 2006