Tony Van Gestel
Tony Van Gestel
Unknown affiliation
Verified email at dexia.com
Title
Cited by
Cited by
Year
Least squares support vector machines
J De Brabanter, B De Moor, JAK Suykens, T Van Gestel, JPL Vandewalle
World scientific, 2002
49672002
Least squares support vector machines
J De Brabanter, B De Moor, JAK Suykens, T Van Gestel, JPL Vandewalle
World scientific, 2002
49672002
Least squares support vector machines
J De Brabanter, B De Moor, JAK Suykens, T Van Gestel, JPL Vandewalle
World scientific, 2002
49672002
Least squares support vector machines
J De Brabanter, B De Moor, JAK Suykens, T Van Gestel, JPL Vandewalle
World scientific, 2002
49672002
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
9612003
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
8022004
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
6702001
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
4552007
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
3702002
Credit Risk Management: Basic concepts: Financial risk components, Rating analysis, models, economic and regulatory capital
T Van Gestel, B Baesens
OUP Oxford, 2008
2832008
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
1972006
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
1742003
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
1582008
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
1282005
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
1152007
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
1052001
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
1052001
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
962003
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
812003
A process model to develop an internal rating system: Sovereign credit ratings
T Van Gestel, B Baesens, P Van Dijcke, J Garcia, JAK Suykens, ...
Decision Support Systems 42 (2), 1131-1151, 2006
782006
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