1. 2013
  2. Advanced rule base learning: active learning rule extraction, and incorporating domain knowledge

    Verbraken, T., Van Vlasselaer, V., Verbeke, W., Martens, D. & Baesens, B., 2013, Advanced database marketing: Innovative methodologies & applications for managing customer relationships. Coussement, K., De Bock, K. W. & Neslin, S. A. (eds.). London: Gower Publishing, p. 145-166 324 p.

    Research output: Chapter in Book/Report/Conference proceedingChapterResearchpeer-review

  3. Credit Rating Migration Modeling for Stress Testing Using Macroeconomic Indices

    Berteloot, K., Verbeke, W., Castermans, G., Van Gestel, T., Martens, D. & Baesens, B., 2013, In : Journal of Forecasting. 32, 7, p. 654-672 19 p.

    Research output: Contribution to journalArticleResearchpeer-review

  4. 2012
  5. A profit-based performance measure for consumer credit scoring models

    Verbraken, T., Verbeke, W., Bravo, C., Weber, R. & Baesens, B., Jul 2012, IADIS European Conference on Data Mining 2012 (ECDM'12), Lisbon, Portugal.

    Research output: Chapter in Book/Report/Conference proceedingMeeting abstract (Book)Research

  6. Credit Scoring for Microfinance: Is It Worth It?

    Van Gool, J., Verbeke, W., Sercu, P. & Baesens, B., 24 Jan 2012, In : International Journal of Finance & Economics. 17, 2, p. 103-123 21 p.

    Research output: Contribution to journalArticleResearchpeer-review

  7. Benchmarking Classification Algorithms for Software Effort Prediction

    De Jaeger, K., Verbeke, W., Martens, D. & Baesens, B., 2012, In : IEEE Transactions on Software Engineering. 38, p. 375-397 23 p.

    Research output: Contribution to journalArticleResearchpeer-review

  8. New Insights into Churn Prediction in the Telco Sector: a Profit Driven Data Mining Approach

    Verbeke, W., De Jaeger, K., Martens, D., Hur, J. & Baesens, B., 2012, In : European Journal of Operational Research. 218, 1, p. 211-229 19 p.

    Research output: Contribution to journalArticleResearchpeer-review

  9. 2011
  10. Using social network classifiers for predicting e-commerce adoption

    Verbraken, T., Goethals, F., Verbeke, W. & Baesens, B., Dec 2011, The Tenth Workshop on E-Business WEB2011, Shanghai, China.

    Research output: Chapter in Book/Report/Conference proceedingConference paperResearch

  11. Performance of Classification Models from a User Perspective

    Martens, D., Vanthienen, J., Verbeke, W. & Baesens, B., Nov 2011, In : Decision Support Systems. 51, 4, p. 782-793 12 p.

    Research output: Contribution to journalArticleResearchpeer-review

  12. Mining social networks for customer churn prediction

    Verbeke, W., De Jaeger, K., Verbraken, T., Martens, D. & Baesens, B., Oct 2011, Workshop on Information and Decision in Social Networks WIDS@LIDS, Cambridge, U.S.A..

    Research output: Chapter in Book/Report/Conference proceedingMeeting abstract (Book)Research

  13. Relational learning for customer churn prediction: the complementarity of networked and non-networked classifiers

    Verbeke, W., Verbraken, T., Martens, D. & Baesens, B., Oct 2011, Conference on the Analysis of Mobile Phone Datasets and Networks NETMOB, Cambridge, U.S.A..

    Research output: Chapter in Book/Report/Conference proceedingMeeting abstract (Book)Research

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