Found 60 results
In Press
Junqué de Fortuny E, Martens D.  In Press.  Active Learning-based Pedagogical Rule Extraction. IEEE Transactions on Neural Networks and Learning Systems.
Minnaert B, Martens D.  2014.  A Comment on “Correlation as a Heuristic for Accurate and Comprehensible Ant Colony Optimization-Based Classifiers”. IEEE Transactions on Evolutionary Computation. Volume 18(5)
de Fortuny* E J, Stankova* M, Moeyersoms J, Minnaert B, Provost F, Martens D.  2014.  Corporate residence fraud detection. 20th ACM SIGKDD Conference on Knowledge Discovery and Data Mining. Proceedings of the 20th ACM SIGKDD international conference on Knowledge discovery and data mining:1650-1659.
Herremans D, Martens D, Sörensen K.  2014.  Dance Hit Song Prediction. Journal of New Music Research. :291-302.
Junqué de Fortuny E, De Smedt T, Martens D, Daelemans W.  2014.  Evaluating and Understanding Text-based Stock Price Prediction. Information Processing & Management. 50:426–441.
Martens D, Provost F.  2014.  Explaining Data-Driven Document Classifications. MIS Quarterly . Volume 38(1):73-99.
Tobback E, Martens D, Gestel T V, Baesens B.  2014.  Forecasting Loss Given Default Models : Impact of Account Characteristics and The Macroeconomic State. Journal of the Operational Research Society. :376-392.
Verbeke W, Martens D, Baesens B.  2014.  Social Network Analysis for Customer Churn Prediction. Applied Soft Computing. 14 (C):431–446.
Junqué de Fortuny E, Martens D.  2012.  Active Learning-based Rule Extraction for Regression. IEEE International Conference on Data Mining (Workshop) 2012.
Loterman G, Brown I, Martens D, Mues C, Baesens B.  2012.  Benchmarking Regression Algorithms for Loss Given Default Modeling. International Journal of Forecasting. 28(1):161-170.