| 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 (6), 627-635, 2003 | 1007 | 2003 |
| Benchmarking least squares support vector machine classifiers T Van Gestel, JAK Suykens, B Baesens, S Viaene, J Vanthienen, ... Machine learning 54 (1), 5-32, 2004 | 827 | 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, 2014 | 301 | 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 | 252 | 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 | 251 | 2002 |
| Project management with dynamic scheduling M Vanhoucke Springer Berlin Heidelberg, 2012 | 227 | 2012 |
| The business model paradox: A systematic review and exploration of antecedents D Klang, M Wallnöfer, F Hacklin International Journal of Management Reviews 16 (4), 454-478, 2014 | 216 | 2014 |
| Linking technology intelligence to open innovation M Veugelers, J Bury, S Viaene Technological forecasting and social change 77 (2), 335-343, 2010 | 147 | 2010 |
| Formal concept analysis in knowledge discovery: a survey J Poelmans, P Elzinga, S Viaene, G Dedene International conference on conceptual structures, 139-153, 2010 | 141 | 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 | 140 | 2004 |
| Insurance fraud: issues and challenges S Viaene, G Dedene The Geneva Papers on Risk and Insurance-Issues and Practice 29 (2), 313-333, 2004 | 134 | 2004 |
| Auto claim fraud detection using Bayesian learning neural networks S Viaene, G Dedene, RA Derrig Expert Systems with Applications 29 (3), 653-666, 2005 | 110 | 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 | 99 | 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 | 98 | 2006 |
| From business process management to customer process management P Trkman, W Mertens, S Viaene, P Gemmel Business process management journal, 2015 | 97 | 2015 |
| The secrets to managing business analytics projects S Viaene, A Van den Bunder MIT Sloan Management Review 53 (1), 65, 2011 | 85 | 2011 |
| 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 | 82 | 2007 |
| 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, ... Industrial Conference on Data Mining, 505-517, 2010 | 79 | 2010 |
| 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 | 68 | 2009 |
| 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 | 67 | 2000 |
