Tony Van Gestel

Publication Activity (10 Years)

Years Active: 2000-2014
Publications (10 Years): 0

Top Topics

Forecast Models

Top Venues

J. Oper. Res. Soc.

Publications

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) (2014)
Tony Van Gestel, Bart Baesens, David Martens
From linear to non-linear kernel based classifiers for bankruptcy prediction. Neurocomputing 73 (16-18) (2010)
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) (2010)
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) (2010)
David Martens, Bart Baesens, Tony Van Gestel
Decompositional Rule Extraction from Support Vector Machines by Active Learning. IEEE Trans. Knowl. Data Eng. 21 (2) (2009)
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) (2007)
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) (2007)
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) (2006)
Johan Huysmans, David Martens, Bart Baesens, Jan Vanthienen, Tony Van Gestel
Country Corruption Analysis with Self Organizing Maps and Support Vector Machines. WISI (2006)
Bart Baesens, Christophe Mues, Tony Van Gestel, Jan Vanthienen
Special issue on intelligent information systems for financial engineering. Expert Syst. Appl. 30 (3) (2006)
Johan Huysmans, Bart Baesens, Jan Vanthienen, Tony Van Gestel
Failure prediction with self organizing maps. Expert Syst. Appl. 30 (3) (2006)
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) (2006)
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) (2005)
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) (2004)
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) (2003)
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)
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)
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) (2003)
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) (2003)
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) (2003)
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) (2002)
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) (2002)
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) (2001)
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) (2001)
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)
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)
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) (2001)
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) (2001)
Tony Van Gestel, Johan A. K. Suykens, Bart De Moor, Joos Vandewalle
Automatic relevance determination for Least Squares Support Vector Machines classifiers. ESANN (2001)
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)
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)
Tony Van Gestel, Johan A. K. Suykens, Paul Van Dooren, Bart De Moor
Imposing stability in subspace identification by regularization. CDC (2000)