Tony Van Gestel - researchr alias

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Viewing Publication 1 - 32 from 32

2014

Forecasting Loss Given Default models: impact of account characteristics and the macroeconomic stateEllen Tobback, David Martens, Tony Van Gestel, Bart Baesens. jors, 65(3):376-392, 2014. [doi]

2010

An overview and framework for PD backtesting and benchmarkingG. Castermans, David Martens, Tony Van Gestel, B. Hamers, Bart Baesens. jors, 61(3):359-373, 2010. [doi]

From linear to non-linear kernel based classifiers for bankruptcy predictionTony Van Gestel, Bart Baesens, David Martens. ijon, 73(16-18):2955-2970, 2010. [doi]

Credit rating prediction using Ant Colony OptimizationDavid Martens, Tony Van Gestel, Manu De Backer, Raf Haesen, Jan Vanthienen, Bart Baesens. jors, 61(4):561-573, 2010. [doi]

2009

Decompositional Rule Extraction from Support Vector Machines by Active LearningDavid Martens, Bart Baesens, Tony Van Gestel. tkde, 21(2):178-191, 2009. [doi]

2007

Inferring descriptive and approximate fuzzy rules for credit scoring using evolutionary algorithmsF. Hoffmann, Bart Baesens, Christophe Mues, Tony Van Gestel, Jan Vanthienen. eor, 177(1):540-555, 2007. [doi]

Comprehensible credit scoring models using rule extraction from support vector machinesDavid Martens, Bart Baesens, Tony Van Gestel, Jan Vanthienen. eor, 183(3):1466-1476, 2007. [doi]

2006

2005

Neural network survival analysis for personal loan dataBart Baesens, Tony Van Gestel, M. Stepanova, Dirk Van den Poel, Jan Vanthienen. jors, 56(9):1089-1098, 2005. [doi]

2004

Benchmarking Least Squares Support Vector Machine ClassifiersTony Van Gestel, Johan A. K. Suykens, Bart Baesens, Stijn Viaene, Jan Vanthienen, Guido Dedene, Bart De Moor, Joos Vandewalle. ml, 54(1):5-32, 2004. [doi]

2003

Benchmarking state-of-the-art classification algorithms for credit scoringBart Baesens, Tony Van Gestel, Stijn Viaene, M. Stepanova, Johan A. K. Suykens, Jan Vanthienen. jors, 54(6):627-635, 2003. [doi]

Bankruptcy prediction with least squares support vector machine classifiersTony Van Gestel, Bart Baesens, Johan A. K. Suykens, Marcelo Espinoza, Dirk-Emma Baestaens, Jan Vanthienen, Bart De Moor. cifer 2003: 1-8 [doi]

Identification of positive real models in subspace identification by using regularizationIvan Goethals, Tony Van Gestel, Johan A. K. Suykens, Paul Van Dooren, Bart De Moor. tac, 48(10):1843-1847, 2003. [doi]

Classification of Ovarian Tumors Using Bayesian Least Squares Support Vector MachinesChuan Lu, Tony Van Gestel, Johan A. K. Suykens, Sabine Van Huffel, Dirk Timmerman, Ignace Vergote. aime 2003: 219-228 [doi]

Preoperative prediction of malignancy of ovarian tumors using least squares support vector machinesChuan Lu, Tony Van Gestel, Johan A. K. Suykens, Sabine Van Huffel, Ignace Vergote, Dirk Timmerman. artmed, 28(3):281-306, 2003. [doi]

A support vector machine formulation to PCA analysis and its kernel versionJohan A. K. Suykens, Tony Van Gestel, Joos Vandewalle, Bart De Moor. tnn, 14(2):447-450, 2003. [doi]

2002

2001

On frequency weighted balanced truncation: A constructive counterexample to Enns' conjectureTony Van Gestel, Bart De Moor, Brian D. O. Anderson, Peter Van Overschee. eucc 2001: 2493-2498 [doi]

On Frequency Weighted Balanced Truncation: Hankel Singular Values and Error BoundsTony Van Gestel, Bart De Moor, Brian D. O. Anderson, Peter Van Overschee. ejcon, 7(6):584-592, 2001. [doi]

Kernel Canonical Correlation Analysis and Least Squares Support Vector MachinesTony Van Gestel, Johan A. K. Suykens, Jos De Brabanter, Bart De Moor, Joos Vandewalle. icann 2001: 384-389 [doi]

Automatic relevance determination for Least Squares Support Vector Machines classifiersTony Van Gestel, Johan A. K. Suykens, Bart De Moor, Joos Vandewalle. esann 2001: 13-18 [doi]

Financial time series prediction using least squares support vector machines within the evidence frameworkTony Van Gestel, Johan A. K. Suykens, Dirk-Emma Baestaens, Annemie Lambrechts, Gert R. G. Lanckriet, Bruno Vandaele, Bart De Moor, Joos Vandewalle. tnn, 12(4):809-821, 2001. [doi]

Identification of stable models in subspace identification by using regularizationTony Van Gestel, Johan A. K. Suykens, Paul Van Dooren, Bart De Moor. tac, 46(9):1416-1420, 2001. [doi]

Knowledge discovery in a direct marketing case using least squares support vector machinesStijn Viaene, Bart Baesens, Tony Van Gestel, Johan A. K. Suykens, Dirk Van den Poel, Jan Vanthienen, Bart De Moor, Guido Dedene. ijis, 16(9):1023-1036, 2001.

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2000

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