Stijn Viaene
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Geciteerd door
Benchmarking state-of-the-art classification algorithms for credit scoring
B Baesens, T Van Gestel, S Viaene, M Stepanova, J Suykens, ...
Journal of the operational research society 54, 627-635, 2003
Benchmarking least squares support vector machine classifiers
T Van Gestel, JAK Suykens, B Baesens, S Viaene, J Vanthienen, ...
Machine learning 54, 5-32, 2004
Ten principles of good business process management
J Vom Brocke, T Schmiedel, J Recker, P Trkman, W Mertens, S Viaene
Business process management journal 20 (4), 530-548, 2014
A comparison of state‐of‐the‐art classification techniques for expert automobile insurance claim fraud detection
S Viaene, RA Derrig, B Baesens, G Dedene
Journal of Risk and Insurance 69 (3), 373-421, 2002
Bayesian neural network learning for repeat purchase modelling in direct marketing
B Baesens, S Viaene, D Van den Poel, J Vanthienen, G Dedene
European Journal of Operational Research 138 (1), 191-211, 2002
Insurance fraud: Issues and challenges
S Viaene, G Dedene
The Geneva Papers on Risk and Insurance-Issues and Practice 29, 313-333, 2004
Linking technology intelligence to open innovation
M Veugelers, J Bury, S Viaene
Technological forecasting and social change 77 (2), 335-343, 2010
A case study of applying boosting Naive Bayes to claim fraud diagnosis
S Viaene, RA Derrig, G Dedene
IEEE Transactions on Knowledge and Data Engineering 16 (5), 612-620, 2004
Formal concept analysis in knowledge discovery: a survey
J Poelmans, P Elzinga, S Viaene, G Dedene
Conceptual Structures: From Information to Intelligence: 18th International …, 2010
From business process management to customer process management
P Trkman, W Mertens, S Viaene, P Gemmel
Business process management journal 21 (2), 250-266, 2015
Auto claim fraud detection using Bayesian learning neural networks
S Viaene, G Dedene, RA Derrig
Expert systems with applications 29 (3), 653-666, 2005
Strategies for detecting fraudulent claims in the automobile insurance industry
S Viaene, M Ayuso, M Guillen, D Van Gheel, G Dedene
European Journal of Operational Research 176 (1), 565-583, 2007
An empirical study on business/ICT alignment in European organisations
B Cumps, S Viaene, G Dedene, J Vandenbulcke
Proceedings of the 39th Annual Hawaii International Conference on System …, 2006
The secrets to managing business analytics projects
S Viaene, A Van den Bunder
MIT Sloan Management Review, 2011
Combining business process and data discovery techniques for analyzing and improving integrated care pathways
J Poelmans, G Dedene, G Verheyden, H Van der Mussele, S Viaene, ...
Advances in Data Mining. Applications and Theoretical Aspects: 10th …, 2010
Managing benefits from IS/IT investments: An empirical investigation into current practice
J Ward, S De Hertogh, S Viaene
2007 40th Annual Hawaii International Conference on System Sciences (HICSS …, 2007
Smart city projects and citizen participation: The case of London
J Willems, J Van den Bergh, S Viaene
Public sector management in a globalized world, 249-266, 2017
Inferring comprehensible business/ICT alignment rules
B Cumps, D Martens, M De Backer, R Haesen, S Viaene, G Dedene, ...
Information & Management 46 (2), 116-124, 2009
Data scientists aren't domain experts
S Viaene
IT Professional 15 (6), 12-17, 2013
An empirical assessment of kernel type performance for least squares support vector machine classifiers
B Baesens, S Viaene, T Van Gestel, JAK Suykens, G Dedene, B De Moor, ...
KES'2000. Fourth International Conference on Knowledge-Based Intelligent …, 2000
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