Tony Van Gestel

According to our database¹, Tony Van Gestel authored at least 33 papers between 2000 and 2014.

Collaborative distances:

Dijkstra number² of five.
Erdős number³ of four.

Timeline

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Bibliography

2014

Forecasting Loss Given Default models: impact of account characteristics and the macroeconomic state.

[BibT_eX]

[DOI]

J. Oper. Res. Soc., 2014

2010

Credit rating prediction using Ant Colony Optimization.

[BibT_eX]

[DOI]

J. Oper. Res. Soc., 2010

An overview and framework for PD backtesting and benchmarking.

[BibT_eX]

[DOI]

J. Oper. Res. Soc., 2010

From linear to non-linear kernel based classifiers for bankruptcy prediction.

[BibT_eX]

[DOI]

Tony Van Gestel

Bart Baesens

David Martens

Neurocomputing, 2010

2009

Decompositional Rule Extraction from Support Vector Machines by Active Learning.

[BibT_eX]

[DOI]

David Martens

Bart Baesens

Tony Van Gestel

IEEE Trans. Knowl. Data Eng., 2009

2007

Comprehensible credit scoring models using rule extraction from support vector machines.

[BibT_eX]

[DOI]

Eur. J. Oper. Res., 2007

Inferring descriptive and approximate fuzzy rules for credit scoring using evolutionary algorithms.

[BibT_eX]

[DOI]

Eur. J. Oper. Res., 2007

2006

Failure prediction with self organizing maps.

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[DOI]

Expert Syst. Appl., 2006

Special issue on intelligent information systems for financial engineering.

[BibT_eX]

[DOI]

Expert Syst. Appl., 2006

Bayesian kernel based classification for financial distress detection.

[BibT_eX]

[DOI]

Eur. J. Oper. Res., 2006

A process model to develop an internal rating system: Sovereign credit ratings.

[BibT_eX]

[DOI]

Decis. Support Syst., 2006

Country Corruption Analysis with Self Organizing Maps and Support Vector Machines.

[BibT_eX]

[DOI]

Proceedings of the Intelligence and Security Informatics, International Workshop, 2006

2005

Neural network survival analysis for personal loan data.

[BibT_eX]

[DOI]

J. Oper. Res. Soc., 2005

2004

Benchmarking Least Squares Support Vector Machine Classifiers.

[BibT_eX]

[DOI]

Mach. Learn., 2004

2003

A support vector machine formulation to PCA analysis and its kernel version.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks, 2003

Identification of positive real models in subspace identification by using regularization.

[BibT_eX]

[DOI]

IEEE Trans. Autom. Control., 2003

Benchmarking state-of-the-art classification algorithms for credit scoring.

[BibT_eX]

[DOI]

J. Oper. Res. Soc., 2003

Preoperative prediction of malignancy of ovarian tumors using least squares support vector machines.

[BibT_eX]

[DOI]

Artif. Intell. Medicine, 2003

Bankruptcy prediction with least squares support vector machine classifiers.

[BibT_eX]

[DOI]

Proceedings of the 2003 IEEE International Conference on Computational Intelligence for Financial Engineering, 2003

Classification of Ovarian Tumors Using Bayesian Least Squares Support Vector Machines.

[BibT_eX]

[DOI]

Proceedings of the Artificial Intelligence in Medicine, 2003

2002

Multiclass LS SVMs Moderated Outputs and Coding Decoding Schemes.

[BibT_eX]

[DOI]

Neural Process. Lett., 2002

Bayesian Framework for Least-Squares Support Vector Machine Classifiers, Gaussian Processes, and Kernel Fisher Discriminant Analysis.

[BibT_eX]

[DOI]

Neural Comput., 2002

Least Squares Support Vector Machines

[BibT_eX]

[DOI]

World Scientific, ISBN: 978-981-4487-59-7, 2002

2001

Financial time series prediction using least squares support vector machines within the evidence framework.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks, 2001

Identification of stable models in subspace identification by using regularization.

[BibT_eX]

[DOI]

IEEE Trans. Autom. Control., 2001

Knowledge discovery in a direct marketing case using least squares support vector machines.

[BibT_eX]

[DOI]

Int. J. Intell. Syst., 2001

On Frequency Weighted Balanced Truncation: Hankel Singular Values and Error Bounds.

[BibT_eX]

[DOI]

Eur. J. Control, 2001

Kernel Canonical Correlation Analysis and Least Squares Support Vector Machines.

[BibT_eX]

[DOI]

Proceedings of the Artificial Neural Networks, 2001

On frequency weighted balanced truncation: A constructive counterexample to Enns' conjecture.

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[DOI]

Proceedings of the 6th European Control Conference, 2001

Automatic relevance determination for Least Squares Support Vector Machines classifiers.

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[DOI]

Proceedings of the 9th European Symposium on Artificial Neural Networks, 2001

2000

Knowledge Discovery Using Least Squares Support Vector Machine Classifiers: A Direct Marketing Case.

[BibT_eX]

[DOI]

Proceedings of the Principles of Data Mining and Knowledge Discovery, 2000

An empirical assessment of kernel type performance for least squares support vector machine classifiers.

[BibT_eX]

[DOI]

Proceedings of the Fourth International Conference on Knowledge-Based Intelligent Information Engineering Systems & Allied Technologies, 2000

Imposing stability in subspace identification by regularization.

[BibT_eX]

[DOI]

Proceedings of the 39th IEEE Conference on Decision and Control, 2000

Tony Van Gestel

Timeline

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