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Bart Baesens: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. David Martens, Manu De Backer, Raf Haesen, Bart Baesens, Christophe Mues, Jan Vanthienen
    Ant-Based Approach to the Knowledge Fusion Problem. [Citation Graph (0, 0)][DBLP]
    ANTS Workshop, 2006, pp:84-95 [Conf]
  2. Manu De Backer, Raf Haesen, David Martens, Bart Baesens
    A Stigmergy Based Approach to Data Mining. [Citation Graph (0, 0)][DBLP]
    Australian Conference on Artificial Intelligence, 2005, pp:975-978 [Conf]
  3. Johan Huysmans, Bart Baesens, Jan Vanthienen
    ITER: An Algorithm for Predictive Regression Rule Extraction. [Citation Graph (0, 0)][DBLP]
    DaWaK, 2006, pp:270-279 [Conf]
  4. Christophe Mues, Bart Baesens, Craig M. Files, Jan Vanthienen
    Decision Diagrams in Machine Learning: An Empirical Study on Real-Life Credit-Risk Data. [Citation Graph (0, 0)][DBLP]
    Diagrams, 2004, pp:395-397 [Conf]
  5. Bart Baesens, Christophe Mues, Manu De Backer, Jan Vanthienen, Rudy Setiono
    Building Intelligent Credit Scoring Systems Using Decision Tables. [Citation Graph (0, 0)][DBLP]
    ICEIS (2), 2003, pp:19-25 [Conf]
  6. Johan Huysmans, Christophe Mues, Jan Vanthienen, Bart Baesens
    Web Usage Mining with Time Constrained Association Rules. [Citation Graph (0, 0)][DBLP]
    ICEIS (2), 2004, pp:343-348 [Conf]
  7. Christophe Mues, Johan Huysmans, Jan Vanthienen, Bart Baesens
    Comprehensible Credit-Scoring Knowledge Visualization Using Decision Tables and Diagrams. [Citation Graph (0, 0)][DBLP]
    ICEIS (2), 2004, pp:226-232 [Conf]
  8. Stijn Viaene, Bart Baesens, Guido Dedene, Jan Vanthienen, Dirk Van den Poel
    Proof Running Two State-Of-The-Art Pattern Recognition Techniques in the Field of Direct Marketing. [Citation Graph (0, 0)][DBLP]
    ICEIS, 2002, pp:446-454 [Conf]
  9. Bart Baesens, Rudy Setiono, Christophe Mues, Stijn Viaene, Jan Vanthienen
    Building Credit-Risk Evaluation Expert Systems Using Neural Network Rule Extraction and Decision Tables. [Citation Graph (0, 0)][DBLP]
    ICIS, 2001, pp:159-168 [Conf]
  10. Bart Baesens, Michael Egmont-Petersen, Robert Castelo, Jan Vanthienen
    Learning Bayesian Network Classifiers for Credit Scoring Using Markov Chain Monte Carlo Search. [Citation Graph (0, 0)][DBLP]
    ICPR (3), 2002, pp:49-52 [Conf]
  11. Bart Baesens, Stijn Viaene, Jan Vanthienen, Guido Dedene
    Wrapped Feature Selection by Means of Guided Neural Network Optimization. [Citation Graph (0, 0)][DBLP]
    ICPR, 2000, pp:2113-2116 [Conf]
  12. Johan Huysmans, Bart Baesens, Jan Vanthienen
    A Comprehensible SOM-Based Scoring System. [Citation Graph (0, 0)][DBLP]
    MLDM, 2005, pp:80-89 [Conf]
  13. Stijn Viaene, Bart Baesens, Tony Van Gestel, Johan A. K. Suykens, Dirk Van den Poel, Jan Vanthienen, Bart De Moor, Guido Dedene
    Knowledge Discovery Using Least Squares Support Vector Machine Classifiers: A Direct Marketing Case. [Citation Graph (0, 0)][DBLP]
    PKDD, 2000, pp:657-664 [Conf]
  14. Johan Huysmans, David Martens, Bart Baesens, Jan Vanthienen, Tony Van Gestel
    Country Corruption Analysis with Self Organizing Maps and Support Vector Machines. [Citation Graph (0, 0)][DBLP]
    WISI, 2006, pp:103-114 [Conf]
  15. Christophe Mues, Bart Baesens, Rudy Setiono, Jan Vanthienen
    From Knowledge Discovery to Implementation: A Business Intelligence Approach Using Neural Network Rule Extraction and Decision Tables. [Citation Graph (0, 0)][DBLP]
    Wissensmanagement (LNCS Volume), 2005, pp:483-495 [Conf]
  16. Christophe Mues, Bart Baesens, Jan Vanthienen
    From Knowledge Discovery to Implementation: Developing Business Intelligence Systems using Decision Tables. [Citation Graph (0, 0)][DBLP]
    Wissensmanagement, 2005, pp:439-443 [Conf]
  17. Tony Van Gestel, Bart Baesens, Peter Van Dijcke, Joao Garcia, Johan A. K. Suykens, Jan Vanthienen
    A process model to develop an internal rating system: Sovereign credit ratings. [Citation Graph (0, 0)][DBLP]
    Decision Support Systems, 2006, v:42, n:2, pp:1131-1151 [Journal]
  18. Bart Baesens, Christophe Mues, Tony Van Gestel, Jan Vanthienen
    Special issue on intelligent information systems for financial engineering. [Citation Graph (0, 0)][DBLP]
    Expert Syst. Appl., 2006, v:30, n:3, pp:413-414 [Journal]
  19. Johan Huysmans, Bart Baesens, Jan Vanthienen, Tony Van Gestel
    Failure prediction with self organizing maps. [Citation Graph (0, 0)][DBLP]
    Expert Syst. Appl., 2006, v:30, n:3, pp:479-487 [Journal]
  20. Christophe Mues, Bart Baesens, Craig M. Files, Jan Vanthienen
    Decision diagrams in machine learning: an empirical study on real-life credit-risk data. [Citation Graph (0, 0)][DBLP]
    Expert Syst. Appl., 2004, v:27, n:2, pp:257-264 [Journal]
  21. F. Hoffmann, Bart Baesens, Jurgen Martens, Ferdi Put, Jan Vanthienen
    Comparing a genetic fuzzy and a neurofuzzy classifier for credit scoring. [Citation Graph (0, 0)][DBLP]
    Int. J. Intell. Syst., 2002, v:17, n:11, pp:1067-1083 [Journal]
  22. Stijn Viaene, Bart Baesens, Tony Van Gestel, Johan A. K. Suykens, Dirk Van den Poel, Jan Vanthienen, Bart De Moor, Guido Dedene
    Knowledge discovery in a direct marketing case using least squares support vector machines. [Citation Graph (0, 0)][DBLP]
    Int. J. Intell. Syst., 2001, v:16, n:9, pp:1023-1036 [Journal]
  23. Petr Somol, Bart Baesens, Pavel Pudil, Jan Vanthienen
    Filter- versus wrapper-based feature selection for credit scoring. [Citation Graph (0, 0)][DBLP]
    Int. J. Intell. Syst., 2005, v:20, n:10, pp:985-999 [Journal]
  24. Tony Van Gestel, Johan A. K. Suykens, Bart Baesens, Stijn Viaene, Jan Vanthienen, Guido Dedene, Bart De Moor, Joos Vandewalle
    Benchmarking Least Squares Support Vector Machine Classifiers. [Citation Graph (0, 0)][DBLP]
    Machine Learning, 2004, v:54, n:1, pp:5-32 [Journal]
  25. Michael Egmont-Petersen, A. J. Feelders, Bart Baesens
    Confidence intervals for probabilistic network classifiers. [Citation Graph (0, 0)][DBLP]
    Computational Statistics & Data Analysis, 2005, v:49, n:4, pp:998-1019 [Journal]
  26. Tony Van Gestel, Bart Baesens, Johan A. K. Suykens, Dirk Van den Poel, Dirk-Emma Baestaens, Marleen Willekens
    Bayesian kernel based classification for financial distress detection. [Citation Graph (0, 0)][DBLP]
    European Journal of Operational Research, 2006, v:172, n:3, pp:979-1003 [Journal]
  27. F. Hoffmann, Bart Baesens, Christophe Mues, Tony Van Gestel, Jan Vanthienen
    Inferring descriptive and approximate fuzzy rules for credit scoring using evolutionary algorithms. [Citation Graph (0, 0)][DBLP]
    European Journal of Operational Research, 2007, v:177, n:1, pp:540-555 [Journal]
  28. Bart Baesens, Geert Verstraeten, Dirk Van den Poel, Michael Egmont-Petersen, Patrick Van Kenhove, Jan Vanthienen
    Bayesian network classifiers for identifying the slope of the customer lifecycle of long-life customers. [Citation Graph (0, 0)][DBLP]
    European Journal of Operational Research, 2004, v:156, n:2, pp:508-523 [Journal]

  29. Process Mining as First-Order Classification Learning on Logs with Negative Events. [Citation Graph (, )][DBLP]


  30. Including Domain Knowledge in Customer Churn Prediction Using AntMiner+. [Citation Graph (, )][DBLP]


  31. An empirical assessment of kernel type performance for least squares support vector machine classifiers. [Citation Graph (, )][DBLP]


  32. Fraud Detection in Statistics Education Based on the Compendium Platform and Reproducible Computing. [Citation Graph (, )][DBLP]


  33. A new approach for measuring rule set consistency. [Citation Graph (, )][DBLP]


  34. Predicting going concern opinion with data mining. [Citation Graph (, )][DBLP]


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