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ORCIDTony Van Gestel
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2010 – 2019
- 2014
[j23]Ellen Tobback, David Martens, Tony Van Gestel, Bart Baesens:
Forecasting Loss Given Default models: impact of account characteristics and the macroeconomic state. J. Oper. Res. Soc. 65(3): 376-392 (2014)- 2010
- [j22]Tony Van Gestel, Bart Baesens, David Martens:
From linear to non-linear kernel based classifiers for bankruptcy prediction. Neurocomputing 73(16-18): 2955-2970 (2010) - [j21]G. Castermans, David Martens, Tony Van Gestel, Bart Hamers, Bart Baesens:
An overview and framework for PD backtesting and benchmarking. J. Oper. Res. Soc. 61(3): 359-373 (2010) - [j20]David Martens, Tony Van Gestel, Manu De Backer, Raf Haesen, Jan Vanthienen
, Bart Baesens:
Credit rating prediction using Ant Colony Optimization. J. Oper. Res. Soc. 61(4): 561-573 (2010)
2000 – 2009
- 2009
- [j19]David Martens, Bart Baesens, Tony Van Gestel:
Decompositional Rule Extraction from Support Vector Machines by Active Learning. IEEE Trans. Knowl. Data Eng. 21(2): 178-191 (2009) - 2007
- [j18]Frank Hoffmann, Bart Baesens, Christophe Mues, Tony Van Gestel, Jan Vanthienen:
Inferring descriptive and approximate fuzzy rules for credit scoring using evolutionary algorithms. Eur. J. Oper. Res. 177(1): 540-555 (2007) - [j17]David Martens, Bart Baesens, Tony Van Gestel, Jan Vanthienen:
Comprehensible credit scoring models using rule extraction from support vector machines. Eur. J. Oper. Res. 183(3): 1466-1476 (2007) - 2006
- [j16]Tony Van Gestel, Bart Baesens, Peter Van Dijcke, Joao Garcia, Johan A. K. Suykens, Jan Vanthienen:
A process model to develop an internal rating system: Sovereign credit ratings. Decis. Support Syst. 42(2): 1131-1151 (2006) - [j15]Tony Van Gestel, Bart Baesens, Johan A. K. Suykens, Dirk Van den Poel, Dirk-Emma Baestaens, Marleen Willekens:
Bayesian kernel based classification for financial distress detection. Eur. J. Oper. Res. 172(3): 979-1003 (2006) - [j14]Bart Baesens, Christophe Mues, Tony Van Gestel, Jan Vanthienen:
Special issue on intelligent information systems for financial engineering. Expert Syst. Appl. 30(3): 413-414 (2006) - [j13]Johan Huysmans, Bart Baesens, Jan Vanthienen, Tony Van Gestel:
Failure prediction with self organizing maps. Expert Syst. Appl. 30(3): 479-487 (2006) - [c9]Johan Huysmans, David Martens, Bart Baesens, Jan Vanthienen, Tony Van Gestel:
Country Corruption Analysis with Self Organizing Maps and Support Vector Machines. WISI 2006: 103-114 - 2005
- [j12]Bart Baesens, Tony Van Gestel, M. Stepanova, Dirk Van den Poel, Jan Vanthienen:
Neural network survival analysis for personal loan data. J. Oper. Res. Soc. 56(9): 1089-1098 (2005) - 2004
- [j11]Tony Van Gestel, Johan A. K. Suykens, Bart Baesens, Stijn Viaene, Jan Vanthienen, Guido Dedene, Bart De Moor, Joos Vandewalle:
Benchmarking Least Squares Support Vector Machine Classifiers. Mach. Learn. 54(1): 5-32 (2004) - 2003
- [j10]Chuan Lu, Tony Van Gestel, Johan A. K. Suykens, Sabine Van Huffel, Ignace Vergote, Dirk Timmerman:
Preoperative prediction of malignancy of ovarian tumors using least squares support vector machines. Artif. Intell. Medicine 28(3): 281-306 (2003) - [j9]Bart Baesens, Tony Van Gestel, Stijn Viaene, M. Stepanova, Johan A. K. Suykens, Jan Vanthienen:
Benchmarking state-of-the-art classification algorithms for credit scoring. J. Oper. Res. Soc. 54(6): 627-635 (2003) - [j8]Ivan Goethals, Tony Van Gestel, Johan A. K. Suykens, Paul Van Dooren, Bart De Moor:
Identification of positive real models in subspace identification by using regularization. IEEE Trans. Autom. Control. 48(10): 1843-1847 (2003) - [j7]Johan A. K. Suykens, Tony Van Gestel, Joos Vandewalle, Bart De Moor:
A support vector machine formulation to PCA analysis and its kernel version. IEEE Trans. Neural Networks 14(2): 447-450 (2003) - [c8]Chuan Lu, Tony Van Gestel, Johan A. K. Suykens, Sabine Van Huffel, Dirk Timmerman, Ignace Vergote:
Classification of Ovarian Tumors Using Bayesian Least Squares Support Vector Machines. AIME 2003: 219-228 - [c7]Tony Van Gestel, Bart Baesens, Johan A. K. Suykens, Marcelo Espinoza, Dirk-Emma Baestaens, Jan Vanthienen, Bart De Moor:
Bankruptcy prediction with least squares support vector machine classifiers. CIFEr 2003: 1-8 - 2002
- [b1]Johan A. K. Suykens, Tony Van Gestel, Jos De Brabanter, Bart De Moor, Joos Vandewalle:
Least Squares Support Vector Machines. World Scientific 2002, ISBN 978-981-238-151-4, pp. 1-308 - [j6]Tony Van Gestel, Johan A. K. Suykens, Gert R. G. Lanckriet, Annemie Lambrechts, Bart De Moor, Joos Vandewalle:
Bayesian Framework for Least-Squares Support Vector Machine Classifiers, Gaussian Processes, and Kernel Fisher Discriminant Analysis. Neural Comput. 14(5): 1115-1147 (2002) - [j5]Tony Van Gestel, Johan A. K. Suykens, Gert R. G. Lanckriet, Annemie Lambrechts, Bart De Moor, Joos Vandewalle:
Multiclass LS SVMs Moderated Outputs and Coding Decoding Schemes. Neural Process. Lett. 15(1): 45-58 (2002) - 2001
- [j4]Tony Van Gestel, Bart De Moor, Brian D. O. Anderson, Peter Van Overschee:
On Frequency Weighted Balanced Truncation: Hankel Singular Values and Error Bounds. Eur. J. Control 7(6): 584-592 (2001) - [j3]Stijn Viaene, Bart Baesens, Tony Van Gestel, Johan A. K. Suykens, Dirk Van den Poel, Jan Vanthienen, Bart De Moor, Guido Dedene:
Knowledge discovery in a direct marketing case using least squares support vector machines. Int. J. Intell. Syst. 16(9): 1023-1036 (2001) - [j2]Tony Van Gestel, Johan A. K. Suykens, Paul Van Dooren, Bart De Moor:
Identification of stable models in subspace identification by using regularization. IEEE Trans. Autom. Control. 46(9): 1416-1420 (2001) - [j1]Tony Van Gestel, Johan A. K. Suykens, Dirk-Emma Baestaens, Annemie Lambrechts, Gert R. G. Lanckriet, Bruno Vandaele, Bart De Moor, Joos Vandewalle:
Financial time series prediction using least squares support vector machines within the evidence framework. IEEE Trans. Neural Networks 12(4): 809-821 (2001) - [c6]Tony Van Gestel, Johan A. K. Suykens, Bart De Moor, Joos Vandewalle:
Automatic relevance determination for Least Squares Support Vector Machines classifiers. ESANN 2001: 13-18 - [c5]Tony Van Gestel, Bart De Moor, Brian D. O. Anderson, Peter Van Overschee:
On frequency weighted balanced truncation: A constructive counterexample to Enns' conjecture. ECC 2001: 2493-2498 - [c4]Tony Van Gestel, Johan A. K. Suykens, Jos De Brabanter, Bart De Moor, Joos Vandewalle:
Kernel Canonical Correlation Analysis and Least Squares Support Vector Machines. ICANN 2001: 384-389 - 2000
- [c3]Tony Van Gestel, Johan A. K. Suykens, Paul Van Dooren, Bart De Moor:
Imposing stability in subspace identification by regularization. CDC 2000: 1555-1560 - [c2]Bart Baesens, Stijn Viaene, Tony Van Gestel, Johan A. K. Suykens, Guido Dedene, Bart De Moor, Jan Vanthienen:
An empirical assessment of kernel type performance for least squares support vector machine classifiers. KES 2000: 313-316 - [c1]Stijn Viaene, Bart Baesens, Tony Van Gestel, Johan A. K. Suykens, Dirk Van den Poel, Jan Vanthienen, Bart De Moor, Guido Dedene:
Knowledge Discovery Using Least Squares Support Vector Machine Classifiers: A Direct Marketing Case. PKDD 2000: 657-664
Coauthor Index
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