Imposing stability in subspace identification by regularization. - Tony Van Gestel; Johan A. K. Suykens; Paul Van Dooren; Bart De Moor (CDC, 2000)

An empirical assessment of kernel type performance for least squares support vector machine classifiers. - Bart Baesens; Stijn Viaene; Tony Van Gestel; Johan A. K. Suykens; Guido Dedene; Bart De Moor; Jan Vanthienen (KES, 2000)

Knowledge Discovery Using Least Squares Support Vector Machine Classifiers: A Direct Marketing Case. - Stijn Viaene; Bart Baesens; Tony Van Gestel; Johan A. K. Suykens; Dirk Van den Poel; Jan Vanthienen; Bart De Moor; Guido Dedene (PKDD, 2000)

Automatic relevance determination for Least Squares Support Vector Machines classifiers. - Tony Van Gestel; Johan A. K. Suykens; Bart De Moor; Joos Vandewalle (ESANN, 2001)

On frequency weighted balanced truncation: A constructive counterexample to Enns' conjecture. - Tony Van Gestel; Bart De Moor; Brian D. O. Anderson; Peter Van Overschee (ECC, 2001)

Kernel Canonical Correlation Analysis and Least Squares Support Vector Machines. - Tony Van Gestel; Johan A. K. Suykens; Jos De Brabanter; Bart De Moor; Joos Vandewalle (ICANN, 2001)

On Frequency Weighted Balanced Truncation: Hankel Singular Values and Error Bounds. - Tony Van Gestel; Bart De Moor; Brian D. O. Anderson; Peter Van Overschee (Eur. J. Control, 2001)

Knowledge discovery in a direct marketing case using least squares support vector machines. - Stijn Viaene; Bart Baesens; Tony Van Gestel; Johan A. K. Suykens; Dirk Van den Poel; Jan Vanthienen; Bart De Moor; Guido Dedene (Int. J. Intell. Syst., 2001)

Identification of stable models in subspace identification by using regularization. - Tony Van Gestel; Johan A. K. Suykens; Paul Van Dooren; Bart De Moor (IEEE Trans. Autom. Control., 2001)

Financial time series prediction using least squares support vector machines within the evidence framework. - Tony Van Gestel; Johan A. K. Suykens; Dirk-Emma Baestaens; Annemie Lambrechts; Gert R. G. Lanckriet; Bruno Vandaele; Bart De Moor; Joos Vandewalle (IEEE Trans. Neural Networks, 2001)

Least Squares Support Vector Machines - Johan A. K. Suykens; Tony Van Gestel; Jos De Brabanter; Bart De Moor; Joos Vandewalle (World Scientific, 2002)

Bayesian Framework for Least-Squares Support Vector Machine Classifiers, Gaussian Processes, and Kernel Fisher Discriminant Analysis. - Tony Van Gestel; Johan A. K. Suykens; Gert R. G. Lanckriet; Annemie Lambrechts; Bart De Moor; Joos Vandewalle (Neural Comput., 2002)

Multiclass LS SVMs Moderated Outputs and Coding Decoding Schemes. - Tony Van Gestel; Johan A. K. Suykens; Gert R. G. Lanckriet; Annemie Lambrechts; Bart De Moor; Joos Vandewalle (Neural Process. Lett., 2002)

Classification of Ovarian Tumors Using Bayesian Least Squares Support Vector Machines. - Chuan Lu; Tony Van Gestel; Johan A. K. Suykens; Sabine Van Huffel; Dirk Timmerman; Ignace Vergote (AIME, 2003)

Bankruptcy prediction with least squares support vector machine classifiers. - Tony Van Gestel; Bart Baesens; Johan A. K. Suykens; Marcelo Espinoza; Dirk-Emma Baestaens; Jan Vanthienen; Bart De Moor (CIFEr, 2003)

Preoperative prediction of malignancy of ovarian tumors using least squares support vector machines. - Chuan Lu; Tony Van Gestel; Johan A. K. Suykens; Sabine Van Huffel; Ignace Vergote; Dirk Timmerman (Artif. Intell. Medicine, 2003)

Benchmarking state-of-the-art classification algorithms for credit scoring. - Bart Baesens; Tony Van Gestel; Stijn Viaene; M. Stepanova; Johan A. K. Suykens; Jan Vanthienen (J. Oper. Res. Soc., 2003)

Identification of positive real models in subspace identification by using regularization. - Ivan Goethals; Tony Van Gestel; Johan A. K. Suykens; Paul Van Dooren; Bart De Moor (IEEE Trans. Autom. Control., 2003)

A support vector machine formulation to PCA analysis and its kernel version. - Johan A. K. Suykens; Tony Van Gestel; Joos Vandewalle; Bart De Moor (IEEE Trans. Neural Networks, 2003)

Benchmarking Least Squares Support Vector Machine Classifiers. - Tony Van Gestel; Johan A. K. Suykens; Bart Baesens; Stijn Viaene; Jan Vanthienen; Guido Dedene; Bart De Moor; Joos Vandewalle (Mach. Learn., 2004)

Neural network survival analysis for personal loan data. - Bart Baesens; Tony Van Gestel; M. Stepanova; Dirk Van den Poel; Jan Vanthienen (J. Oper. Res. Soc., 2005)

Country Corruption Analysis with Self Organizing Maps and Support Vector Machines. - Johan Huysmans; David Martens; Bart Baesens; Jan Vanthienen; Tony Van Gestel (WISI, 2006)

A process model to develop an internal rating system: Sovereign credit ratings. - Tony Van Gestel; Bart Baesens; Peter Van Dijcke; Joao Garcia; Johan A. K. Suykens; Jan Vanthienen (Decis. Support Syst., 2006)

Bayesian kernel based classification for financial distress detection. - Tony Van Gestel; Bart Baesens; Johan A. K. Suykens; Dirk Van den Poel; Dirk-Emma Baestaens; Marleen Willekens (Eur. J. Oper. Res., 2006)

Special issue on intelligent information systems for financial engineering. - Bart Baesens; Christophe Mues; Tony Van Gestel; Jan Vanthienen (Expert Syst. Appl., 2006)

Failure prediction with self organizing maps. - Johan Huysmans; Bart Baesens; Jan Vanthienen; Tony Van Gestel (Expert Syst. Appl., 2006)

Inferring descriptive and approximate fuzzy rules for credit scoring using evolutionary algorithms. - Frank Hoffmann; Bart Baesens; Christophe Mues; Tony Van Gestel; Jan Vanthienen (Eur. J. Oper. Res., 2007)

Comprehensible credit scoring models using rule extraction from support vector machines. - David Martens; Bart Baesens; Tony Van Gestel; Jan Vanthienen (Eur. J. Oper. Res., 2007)

Decompositional Rule Extraction from Support Vector Machines by Active Learning. - David Martens; Bart Baesens; Tony Van Gestel (IEEE Trans. Knowl. Data Eng., 2009)

From linear to non-linear kernel based classifiers for bankruptcy prediction. - Tony Van Gestel; Bart Baesens; David Martens (Neurocomputing, 2010)

An overview and framework for PD backtesting and benchmarking. - G. Castermans; David Martens; Tony Van Gestel; Bart Hamers; Bart Baesens (J. Oper. Res. Soc., 2010)

Credit rating prediction using Ant Colony Optimization. - David Martens; Tony Van Gestel; Manu De Backer; Raf Haesen; Jan Vanthienen; Bart Baesens (J. Oper. Res. Soc., 2010)

Forecasting Loss Given Default models: impact of account characteristics and the macroeconomic state. - Ellen Tobback; David Martens; Tony Van Gestel; Bart Baesens (J. Oper. Res. Soc., 2014)