Artykuły udostępnione publicznie: - David MartensWięcej informacji
Niedostępne w żadnym miejscu: 8
Decompositional rule extraction from support vector machines by active learning
D Martens, BB Baesens, T Van Gestel
IEEE Transactions on Knowledge and Data Engineering 21 (2), 178-191, 2008
Upoważnienia: Research Foundation (Flanders)
Social network analysis for customer churn prediction
W Verbeke, D Martens, B Baesens
Applied Soft Computing 14, 431-446, 2014
Upoważnienia: Research Foundation (Flanders)
Predicting going concern opinion with data mining
D Martens, L Bruynseels, B Baesens, M Willekens, J Vanthienen
Decision Support Systems 45 (4), 765-777, 2008
Upoważnienia: Research Foundation (Flanders)
Mining software repositories for comprehensible software fault prediction models
O Vandecruys, D Martens, B Baesens, C Mues, M De Backer, R Haesen
Journal of Systems and software 81 (5), 823-839, 2008
Upoważnienia: Research Foundation (Flanders)
Performance of classification models from a user perspective
D Martens, J Vanthienen, W Verbeke, B Baesens
Decision Support Systems 51 (4), 782-793, 2011
Upoważnienia: Research Foundation (Flanders)
Including high-cardinality attributes in predictive models: A case study in churn prediction in the energy sector
J Moeyersoms, D Martens
Decision support systems 72, 72-81, 2015
Upoważnienia: Research Foundation (Flanders)
Identifying financially successful start-up profiles with data mining
D Martens, C Vanhoutte, S De Winne, B Baesens, L Sels, C Mues
Expert Systems with Applications 38 (5), 5794-5800, 2011
Upoważnienia: Research Foundation (Flanders)
A novel credit rating migration modeling approach using macroeconomic indicators
K Berteloot, W Verbeke, G Castermans, T Van Gestel, D Martens, ...
Journal of Forecasting 32 (7), 654-672, 2013
Upoważnienia: Research Foundation (Flanders)
Dostępne w jakimś miejscu: 33
Comprehensible credit scoring models using rule extraction from support vector machines
D Martens, B Baesens, T Van Gestel, J Vanthienen
European journal of operational research 183 (3), 1466-1476, 2007
Upoważnienia: Research Foundation (Flanders)
New insights into churn prediction in the telecommunication sector: A profit driven data mining approach
W Verbeke, K Dejaeger, D Martens, J Hur, B Baesens
European journal of operational research 218 (1), 211-229, 2012
Upoważnienia: Research Foundation (Flanders)
Classification with ant colony optimization
D Martens, M De Backer, R Haesen, J Vanthienen, M Snoeck, B Baesens
IEEE Transactions on evolutionary computation 11 (5), 651-665, 2007
Upoważnienia: Research Foundation (Flanders)
Building comprehensible customer churn prediction models with advanced rule induction techniques
W Verbeke, D Martens, C Mues, B Baesens
Expert systems with applications 38 (3), 2354-2364, 2011
Upoważnienia: Research Foundation (Flanders)
Editorial survey: swarm intelligence for data mining
D Martens, B Baesens, T Fawcett
Machine Learning 82, 1-42, 2011
Upoważnienia: Research Foundation (Flanders)
Robust process discovery with artificial negative events
S Goedertier, D Martens, J Vanthienen, B Baesens
Journal of Machine Learning Research 10, 1305-1340, 2009
Upoważnienia: Research Foundation (Flanders)
Rule extraction from support vector machines: an overview of issues and application in credit scoring
D Martens, J Huysmans, R Setiono, J Vanthienen, B Baesens
Rule extraction from support vector machines, 33-63, 2008
Upoważnienia: Research Foundation (Flanders)
Bankruptcy prediction for SMEs using relational data
E Tobback, T Bellotti, J Moeyersoms, M Stankova, D Martens
Decision Support Systems 102, 69-81, 2017
Upoważnienia: Research Foundation (Flanders)
A comparison of instance-level counterfactual explanation algorithms for behavioral and textual data: SEDC, LIME-C and SHAP-C
Y Ramon, D Martens, F Provost, T Evgeniou
Advances in Data Analysis and Classification 14, 801-819, 2020
Upoważnienia: Research Foundation (Flanders)
Comprehensible software fault and effort prediction: A data mining approach
J Moeyersoms, EJ de Fortuny, K Dejaeger, B Baesens, D Martens
Journal of Systems and Software 100, 80-90, 2015
Upoważnienia: Research Foundation (Flanders)
Belgian economic policy uncertainty index: Improvement through text mining
E Tobback, H Naudts, W Daelemans, EJ de Fortuny, D Martens
International journal of forecasting 34 (2), 355-365, 2018
Upoważnienia: Research Foundation (Flanders)
Process discovery in event logs: An application in the telecom industry
S Goedertier, J De Weerdt, D Martens, J Vanthienen, B Baesens
Applied Soft Computing 11 (2), 1697-1710, 2011
Upoważnienia: Research Foundation (Flanders)
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