| Process mining manifesto W Van Der Aalst, A Adriansyah, AKA De Medeiros, F Arcieri, T Baier, ... Business Process Management Workshops: BPM 2011 International Workshops …, 2012 | 1633 | 2012 |
| 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 | 1201 | 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 | 884 | 2004 |
| Using neural network rule extraction and decision tables for credit-risk evaluation B Baesens, R Setiono, C Mues, J Vanthienen Management science 49 (3), 312-329, 2003 | 679 | 2003 |
| 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 | 571 | 2007 |
| 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 | 545 | 2007 |
| An empirical evaluation of the comprehensibility of decision table, tree and rule based predictive models J Huysmans, K Dejaeger, C Mues, J Vanthienen, B Baesens Decision Support Systems 51 (1), 141-154, 2011 | 451 | 2011 |
| Transformational issues of big data and analytics in networked business B Baesens, R Bapna, JR Marsden, J Vanthienen, JL Zhao MIS quarterly 40 (4), 807-818, 2016 | 301 | 2016 |
| 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 | 280 | 2002 |
| A multi-dimensional quality assessment of state-of-the-art process discovery algorithms using real-life event logs J De Weerdt, M De Backer, J Vanthienen, B Baesens Information systems 37 (7), 654-676, 2012 | 261 | 2012 |
| Designing compliant business processes with obligations and permissions S Goedertier, J Vanthienen Business Process Management Workshops: BPM 2006 International Workshops, BPD …, 2006 | 250 | 2006 |
| Robust process discovery with artificial negative events S Goedertier, D Martens, J Vanthienen, B Baesens Journal of Machine Learning Research 10, 1305-1340, 2009 | 226 | 2009 |
| Bayesian network classifiers for identifying the slope of the customer lifecycle of long-life customers B Baesens, G Verstraeten, D Van den Poel, M Egmont-Petersen, ... European Journal of Operational Research 156 (2), 508-523, 2004 | 224 | 2004 |
| Active trace clustering for improved process discovery J De Weerdt, S Vanden Broucke, J Vanthienen, B Baesens IEEE Transactions on Knowledge and Data Engineering 25 (12), 2708-2720, 2013 | 195 | 2013 |
| 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 | 175 | 2008 |
| Neural network survival analysis for personal loan data B Baesens, T Van Gestel, M Stepanova, D Van den Poel, J Vanthienen Journal of the Operational Research Society 56 (9), 1089-1098, 2005 | 164 | 2005 |
| Performance of classification models from a user perspective D Martens, J Vanthienen, W Verbeke, B Baesens Decision Support Systems 51 (4), 782-793, 2011 | 155 | 2011 |
| The value of big data for credit scoring: Enhancing financial inclusion using mobile phone data and social network analytics M Óskarsdóttir, C Bravo, C Sarraute, J Vanthienen, B Baesens Applied Soft Computing 74, 26-39, 2019 | 152 | 2019 |
| 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 | 135 | 2008 |
| Inferring descriptive and approximate fuzzy rules for credit scoring using evolutionary algorithms F Hoffmann, B Baesens, C Mues, T Van Gestel, J Vanthienen European journal of operational research 177 (1), 540-555, 2007 | 128 | 2007 |
Christophe MuesProfessor of Data Science and Information Systems, University of SouthamptonVerified email at soton.ac.uk
