Tony Van Gestel

33 papers B 3C 1Journal 23Unranked 5
YearRankTypeTitle / Venue / Authors
2014 J jnl
Forecasting Loss Given Default models: impact of account characteristics and the macroeconomic state.
J. Oper. Res. Soc.
Ellen Tobback, David Martens, Tony Van Gestel, Bart Baesens
2010 J jnl
An overview and framework for PD backtesting and benchmarking.
J. Oper. Res. Soc.
G. Castermans, David Martens, Tony Van Gestel, Bart Hamers, Bart Baesens
2010 J jnl
Credit rating prediction using Ant Colony Optimization.
J. Oper. Res. Soc.
David Martens, Tony Van Gestel, Manu De Backer, Raf Haesen, Jan Vanthienen, Bart Baesens
2010 J jnl
From linear to non-linear kernel based classifiers for bankruptcy prediction.
Neurocomputing
Tony Van Gestel, Bart Baesens, David Martens
2009 J jnl
Decompositional Rule Extraction from Support Vector Machines by Active Learning.
IEEE Trans. Knowl. Data Eng.
David Martens, Bart Baesens, Tony Van Gestel
2007 J jnl
Comprehensible credit scoring models using rule extraction from support vector machines.
Eur. J. Oper. Res.
David Martens, Bart Baesens, Tony Van Gestel, Jan Vanthienen
2007 J jnl
Inferring descriptive and approximate fuzzy rules for credit scoring using evolutionary algorithms.
Eur. J. Oper. Res.
Frank Hoffmann, Bart Baesens, Christophe Mues, Tony Van Gestel, Jan Vanthienen
2006 J jnl
A process model to develop an internal rating system: Sovereign credit ratings.
Decis. Support Syst.
Tony Van Gestel, Bart Baesens, Peter Van Dijcke, Joao Garcia, Johan A. K. Suykens, Jan Vanthienen
2006 J jnl
Bayesian kernel based classification for financial distress detection.
Eur. J. Oper. Res.
Tony Van Gestel, Bart Baesens, Johan A. K. Suykens, Dirk Van den Poel, Dirk-Emma Baestaens, Marleen Willekens
2006 — conf
Country Corruption Analysis with Self Organizing Maps and Support Vector Machines.
WISI
Johan Huysmans, David Martens, Bart Baesens, Jan Vanthienen, Tony Van Gestel
2006 J jnl
Failure prediction with self organizing maps.
Expert Syst. Appl.
Johan Huysmans, Bart Baesens, Jan Vanthienen, Tony Van Gestel
2006 J jnl
Special issue on intelligent information systems for financial engineering.
Expert Syst. Appl.
Bart Baesens, Christophe Mues, Tony Van Gestel, Jan Vanthienen
2005 J jnl
Neural network survival analysis for personal loan data.
J. Oper. Res. Soc.
Bart Baesens, Tony Van Gestel, M. Stepanova, Dirk Van den Poel, Jan Vanthienen
2004 J jnl
Benchmarking Least Squares Support Vector Machine Classifiers.
Mach. Learn.
Tony Van Gestel, Johan A. K. Suykens, Bart Baesens, Stijn Viaene, Jan Vanthienen, Guido Dedene, Bart De Moor, Joos Vandewalle
2003 J jnl
A support vector machine formulation to PCA analysis and its kernel version.
IEEE Trans. Neural Networks
Johan A. K. Suykens, Tony Van Gestel, Joos Vandewalle, Bart De Moor
2003 — conf
Bankruptcy prediction with least squares support vector machine classifiers.
CIFEr
Tony Van Gestel, Bart Baesens, Johan A. K. Suykens, Marcelo Espinoza, Dirk-Emma Baestaens, Jan Vanthienen, Bart De Moor
2003 J jnl
Benchmarking state-of-the-art classification algorithms for credit scoring.
J. Oper. Res. Soc.
Bart Baesens, Tony Van Gestel, Stijn Viaene, M. Stepanova, Johan A. K. Suykens, Jan Vanthienen
2003 B conf
Classification of Ovarian Tumors Using Bayesian Least Squares Support Vector Machines.
AIME
Chuan Lu, Tony Van Gestel, Johan A. K. Suykens, Sabine Van Huffel, Dirk Timmerman, Ignace Vergote
2003 J jnl
Identification of positive real models in subspace identification by using regularization.
IEEE Trans. Autom. Control.
Ivan Goethals, Tony Van Gestel, Johan A. K. Suykens, Paul Van Dooren, Bart De Moor
2003 J jnl
Preoperative prediction of malignancy of ovarian tumors using least squares support vector machines.
Artif. Intell. Medicine
Chuan Lu, Tony Van Gestel, Johan A. K. Suykens, Sabine Van Huffel, Ignace Vergote, Dirk Timmerman
2002 J jnl
Bayesian Framework for Least-Squares Support Vector Machine Classifiers, Gaussian Processes, and Kernel Fisher Discriminant Analysis.
Neural Comput.
Tony Van Gestel, Johan A. K. Suykens, Gert R. G. Lanckriet, Annemie Lambrechts, Bart De Moor, Joos Vandewalle
2002 — book
Least Squares Support Vector Machines
Johan A. K. Suykens, Tony Van Gestel, Jos De Brabanter, Bart De Moor, Joos Vandewalle
2002 J jnl
Multiclass LS SVMs Moderated Outputs and Coding Decoding Schemes.
Neural Process. Lett.
Tony Van Gestel, Johan A. K. Suykens, Gert R. G. Lanckriet, Annemie Lambrechts, Bart De Moor, Joos Vandewalle
2001 B conf
Automatic relevance determination for Least Squares Support Vector Machines classifiers.
ESANN
Tony Van Gestel, Johan A. K. Suykens, Bart De Moor, Joos Vandewalle
2001 J jnl
Financial time series prediction using least squares support vector machines within the evidence framework.
IEEE Trans. Neural Networks
Tony Van Gestel, Johan A. K. Suykens, Dirk-Emma Baestaens, Annemie Lambrechts, Gert R. G. Lanckriet, Bruno Vandaele, Bart De Moor, Joos Vandewalle
2001 J jnl
Identification of stable models in subspace identification by using regularization.
IEEE Trans. Autom. Control.
Tony Van Gestel, Johan A. K. Suykens, Paul Van Dooren, Bart De Moor
2001 C conf
Kernel Canonical Correlation Analysis and Least Squares Support Vector Machines.
ICANN
Tony Van Gestel, Johan A. K. Suykens, Jos De Brabanter, Bart De Moor, Joos Vandewalle
2001 J jnl
Knowledge discovery in a direct marketing case using least squares support vector machines.
Int. J. Intell. Syst.
Stijn Viaene, Bart Baesens, Tony Van Gestel, Johan A. K. Suykens, Dirk Van den Poel, Jan Vanthienen, Bart De Moor, Guido Dedene
2001 J jnl
On Frequency Weighted Balanced Truncation: Hankel Singular Values and Error Bounds.
Eur. J. Control
Tony Van Gestel, Bart De Moor, Brian D. O. Anderson, Peter Van Overschee
2001 — conf
On frequency weighted balanced truncation: A constructive counterexample to Enns' conjecture.
ECC
Tony Van Gestel, Bart De Moor, Brian D. O. Anderson, Peter Van Overschee
2000 B conf
An empirical assessment of kernel type performance for least squares support vector machine classifiers.
KES
Bart Baesens, Stijn Viaene, Tony Van Gestel, Johan A. K. Suykens, Guido Dedene, Bart De Moor, Jan Vanthienen
2000 — conf
Imposing stability in subspace identification by regularization.
CDC
Tony Van Gestel, Johan A. K. Suykens, Paul Van Dooren, Bart De Moor
2000 — conf
Knowledge Discovery Using Least Squares Support Vector Machine Classifiers: A Direct Marketing Case.
PKDD
Stijn Viaene, Bart Baesens, Tony Van Gestel, Johan A. K. Suykens, Dirk Van den Poel, Jan Vanthienen, Bart De Moor, Guido Dedene