| Least squares support vector machines JAK Suykens, T Van Gestel, J De Brabanter World scientific, 2002 | 5055 | 2002 |
| Least squares support vector machines JAK Suykens, T Van Gestel, J De Brabanter World scientific, 2002 | 5055 | 2002 |
| Least squares support vector machines JAK Suykens, T Van Gestel, J De Brabanter World scientific, 2002 | 5055 | 2002 |
| Least squares support vector machines JAK Suykens, T Van Gestel, J De Brabanter World scientific, 2002 | 5055 | 2002 |
| 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 | 988 | 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 | 817 | 2004 |
| Financial time series prediction using least squares support vector machines within the evidence framework T Van Gestel, JAK Suykens, DE Baestaens, A Lambrechts, G Lanckriet, ... IEEE Transactions on neural networks 12 (4), 809-821, 2001 | 683 | 2001 |
| 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 | 462 | 2007 |
| LS-SVMlab: a matlab/c toolbox for least squares support vector machines K Pelckmans, JAK Suykens, T Van Gestel, J De Brabanter, L Lukas, ... Tutorial. KULeuven-ESAT. Leuven, Belgium 142 (1–2), 2002 | 381 | 2002 |
| Bayesian framework for least-squares support vector machine classifiers, Gaussian processes, and kernel Fisher discriminant analysis TV Gestel, JAK Suykens, G Lanckriet, A Lambrechts, BD Moor, ... Neural computation 14 (5), 1115-1147, 2002 | 360 | 2002 |
| Credit Risk Management: Basic concepts: Financial risk components, Rating analysis, models, economic and regulatory capital T Van Gestel, B Baesens OUP Oxford, 2008 | 297 | 2008 |
| Bayesian kernel based classification for financial distress detection T Van Gestel, B Baesens, JAK Suykens, D Van den Poel, DE Baestaens, ... European journal of operational research 172 (3), 979-1003, 2006 | 200 | 2006 |
| A support vector machine formulation to PCA analysis and its kernel version JAK Suykens, T Van Gestel, J Vandewalle, B De Moor IEEE Transactions on neural networks 14 (2), 447-450, 2003 | 181 | 2003 |
| 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 | 159 | 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 | 134 | 2005 |
| 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 | 116 | 2007 |
| Identification of stable models in subspace identification by using regularization T Van Gestel, JAK Suykens, P Van Dooren, B De Moor IEEE Transactions on Automatic control 46 (9), 1416-1420, 2001 | 106 | 2001 |
| Identification of stable models in subspace identification by using regularization T Van Gestel, JAK Suykens, P Van Dooren, B De Moor IEEE Transactions on Automatic control 46 (9), 1416-1420, 2001 | 106 | 2001 |
| Preoperative prediction of malignancy of ovarian tumors using least squares support vector machines C Lu, T Van Gestel, JAK Suykens, S Van Huffel, I Vergote, D Timmerman Artificial Intelligence in Medicine 28 (3), 281-306, 2003 | 97 | 2003 |
| LS-SVMlab toolbox user’s guide K Pelckmans, JAK Suykens, T Van Gestel, J De Brabanter, L Lukas, ... Pattern recognition letters 24 (2003), 659-675, 2003 | 82 | 2003 |
