Tony Van Gestel

	2010
23		G. Castermans, David Martens, Tony Van Gestel, B. Hamers, Bart Baesens: An overview and framework for PD backtesting and benchmarking. JORS 61(3): 359-373 (2010)
22		David Martens, Tony Van Gestel, Manu De Backer, Raf Haesen, Jan Vanthienen, Bart Baesens: Credit rating prediction using Ant Colony Optimization. JORS 61(4): 561-573 (2010)
21		Tony Van Gestel, Bart Baesens, David Martens: From linear to non-linear kernel based classifiers for bankruptcy prediction. Neurocomputing 73(16-18): 2955-2970 (2010)
	2009
20		David Martens, Bart Baesens, Tony Van Gestel: Decompositional Rule Extraction from Support Vector Machines by Active Learning. IEEE Trans. Knowl. Data Eng. 21(2): 178-191 (2009)
	2007
19		F. Hoffmann, Bart Baesens, Christophe Mues, Tony Van Gestel, Jan Vanthienen: Inferring descriptive and approximate fuzzy rules for credit scoring using evolutionary algorithms. European Journal of Operational Research 177(1): 540-555 (2007)
18		David Martens, Bart Baesens, Tony Van Gestel, Jan Vanthienen: Comprehensible credit scoring models using rule extraction from support vector machines. European Journal of Operational Research 183(3): 1466-1476 (2007)
	2006
17		Johan Huysmans, David Martens, Bart Baesens, Jan Vanthienen, Tony Van Gestel: Country Corruption Analysis with Self Organizing Maps and Support Vector Machines. WISI 2006: 103-114
16		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. Decision Support Systems 42(2): 1131-1151 (2006)
15		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. European Journal of Operational Research 172(3): 979-1003 (2006)
14		Bart Baesens, Christophe Mues, Tony Van Gestel, Jan Vanthienen: Special issue on intelligent information systems for financial engineering. Expert Syst. Appl. 30(3): 413-414 (2006)
13		Johan Huysmans, Bart Baesens, Jan Vanthienen, Tony Van Gestel: Failure prediction with self organizing maps. Expert Syst. Appl. 30(3): 479-487 (2006)
	2004
12		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. Machine Learning 54(1): 5-32 (2004)
	2003
11		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: 219-228
10		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. Artificial Intelligence in Medicine 28(3): 281-306 (2003)
9		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 Transactions on Neural Networks 14(2): 447-450 (2003)
	2002
8		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 Computation 14(5): 1115-1147 (2002)
7		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 Processing Letters 15(1): 45-58 (2002)
	2001
6		Tony Van Gestel, Johan A. K. Suykens, Bart De Moor, Joos Vandewalle: Automatic relevance determination for Least Squares Support Vector Machines classifiers. ESANN 2001: 13-18
5		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: 384-389
4		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 Transactions on Neural Networks 12(4): 809-821 (2001)
3		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): 1023-1036 (2001)
	2000
2		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: 313-316
1		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: 657-664

Coauthor Index

1	Manu De Backer	[22]
2	Bart Baesens	[1] [2] [3] [12] [13] [14] [15] [16] [17] [18] [19] [20] [21] [22] [23]
3	Dirk-Emma Baestaens	[4] [15]
4	Jos De Brabanter	[5]
5	G. Castermans	[23]
6	Guido Dedene	[1] [2] [3] [12]
7	Peter Van Dijcke	[16]
8	Joao Garcia	[16]
9	Raf Haesen	[22]
10	B. Hamers	[23]
11	F. Hoffmann	[19]
12	Sabine Van Huffel	[10] [11]
13	Johan Huysmans	[13] [17]
14	Annemie Lambrechts	[4] [7] [8]
15	Gert R. G. Lanckriet	[4] [7] [8]
16	Chuan Lu	[10] [11]
17	David Martens	[17] [18] [20] [21] [22] [23]
18	Bart De Moor	[1] [2] [3] [4] [5] [6] [7] [8] [9] [12]
19	Christophe Mues	[14] [19]
20	Dirk Van den Poel	[1] [3] [15]
21	Johan A. K. Suykens	[1] [2] [3] [4] [5] [6] [7] [8] [9] [10] [11] [12] [15] [16]
22	Dirk Timmerman	[10] [11]
23	Bruno Vandaele	[4]
24	Joos Vandewalle	[4] [5] [6] [7] [8] [9] [12]
25	Jan Vanthienen	[1] [2] [3] [12] [13] [14] [16] [17] [18] [19] [22]
26	Ignace Vergote	[10] [11]
27	Stijn Viaene	[1] [2] [3] [12]
28	Marleen Willekens	[15]

Last update Wed May 30 22:34:44 2012 CET by the DBLP Team — Data released under the ODC-BY 1.0 license — See also our legal information page