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Results: 110
Number of items: 110
  • Viaene, S., Derrig, R., & Dedene, G. G. M. (2002). Boosting naive Bayes for claim fraud diagnosis. In Lecture Notes in Computer Science 2454 Springer.
  • Dedene, G. (2002). On the Use of Jackson Structured Programming (JSP) for the Structured Design of XSL Transformations. In J. Braz, M. Piattini, & J. Filipe (Eds.), ICEIS 2002 : fourth International Conference on Enterprise Information Systems: proceedings : Ciudad Real, Spain, April 3-6, 2002 (pp. 743-751). ICEIS Press.
  • Snoeck, M., & Dedene, G. G. M. (2001). Core Modelling Concepts to define Agregation. L'Objet, 7(3), 281-306.
  • Maes, R. E., & Dedene, G. G. M. (2001). Towards an integrative framework for software architecture. In J. Vandenbulcke, & M. Snoeck (Eds.), New directions in software engineering, Liber Amicorum Prof. Emeritus M. Verhelst (pp. 23-36). Leuven University Press.
  • Pieck, F., Viane, S., & Dedene, G. G. M. (2001). Developing enterprise architecture: the case of KBC Insurance. In J. Vandenbulcke, & M. Snoeck (Eds.), New directions in software engineering, Liber Amicorum Prof. Emeritus M. Verhelst (pp. 153-160). Leuven University Press.
  • Poels, G., & Dedene, G. G. M. (2001). Core measuring event-based object-oriented conceptual models. The Object (L'Object), 7(4), 497-514.
  • Viane, S., Baesens, B., van den Poel, D., Vanthienen, J., & Dedene, G. G. M. (2001). The Bayesian Evidence Framework For Database Marketing Modeling Using Both RFM And Non-RFM Predictors. In N. Callaos, I. Nunes da Silva, & J. Molero (Eds.), World Multiconference on Systemics, Cybernetics and Informatics
  • Viane, S., Derrig, R., Baesens, B., & Dedene, G. G. M. (2001). A Comparison Of State-of-the-Art Classification Techniques for Expert Automobile Insurance Fraud Detection. In Proceedings of the 5th International Congress on Insurance: Mathematics and Economics Penn State University.
  • Viane, S., Baesens, B., van Gestel, T., Suykens, J., van den Poel, D., Vanthienen, J., de Moor, B., & Dedene, G. G. M. (2001). Knowledge Discovery In A Direct Marketing Case Using Least Squares Support Vector Machines. International Journal of Intelligent Systems, 16(9), 1023-1036. https://doi.org/10.1002/int.1047
  • Viane, S., Baesens, B., van den Poel, D., Dedene, G. G. M., & Vanthienen, J. (2001). Wrapped Feature Selection For Neural Networks In Direct Marketing. International Journal of Intelligent Systems in Accounting, Finance and Management, 10(2), 115-126.
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