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Tony Van Gestel: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. 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. [Citation Graph (0, 0)][DBLP]
    AIME, 2003, pp:219-228 [Conf]
  2. Tony Van Gestel, Johan A. K. Suykens, Bart De Moor, Joos Vandewalle
    Automatic relevance determination for Least Squares Support Vector Machines classifiers. [Citation Graph (0, 0)][DBLP]
    ESANN, 2001, pp:13-18 [Conf]
  3. 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. [Citation Graph (0, 0)][DBLP]
    ICANN, 2001, pp:384-389 [Conf]
  4. 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. [Citation Graph (0, 0)][DBLP]
    PKDD, 2000, pp:657-664 [Conf]
  5. Johan Huysmans, David Martens, Bart Baesens, Jan Vanthienen, Tony Van Gestel
    Country Corruption Analysis with Self Organizing Maps and Support Vector Machines. [Citation Graph (0, 0)][DBLP]
    WISI, 2006, pp:103-114 [Conf]
  6. 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. [Citation Graph (0, 0)][DBLP]
    Artificial Intelligence in Medicine, 2003, v:28, n:3, pp:281-306 [Journal]
  7. 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. [Citation Graph (0, 0)][DBLP]
    Decision Support Systems, 2006, v:42, n:2, pp:1131-1151 [Journal]
  8. Bart Baesens, Christophe Mues, Tony Van Gestel, Jan Vanthienen
    Special issue on intelligent information systems for financial engineering. [Citation Graph (0, 0)][DBLP]
    Expert Syst. Appl., 2006, v:30, n:3, pp:413-414 [Journal]
  9. Johan Huysmans, Bart Baesens, Jan Vanthienen, Tony Van Gestel
    Failure prediction with self organizing maps. [Citation Graph (0, 0)][DBLP]
    Expert Syst. Appl., 2006, v:30, n:3, pp:479-487 [Journal]
  10. 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. [Citation Graph (0, 0)][DBLP]
    Int. J. Intell. Syst., 2001, v:16, n:9, pp:1023-1036 [Journal]
  11. 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. [Citation Graph (0, 0)][DBLP]
    Machine Learning, 2004, v:54, n:1, pp:5-32 [Journal]
  12. 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. [Citation Graph (0, 0)][DBLP]
    Neural Computation, 2002, v:14, n:5, pp:1115-1147 [Journal]
  13. 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. [Citation Graph (0, 0)][DBLP]
    Neural Processing Letters, 2002, v:15, n:1, pp:45-58 [Journal]
  14. 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. [Citation Graph (0, 0)][DBLP]
    European Journal of Operational Research, 2006, v:172, n:3, pp:979-1003 [Journal]
  15. F. Hoffmann, Bart Baesens, Christophe Mues, Tony Van Gestel, Jan Vanthienen
    Inferring descriptive and approximate fuzzy rules for credit scoring using evolutionary algorithms. [Citation Graph (0, 0)][DBLP]
    European Journal of Operational Research, 2007, v:177, n:1, pp:540-555 [Journal]

  16. An empirical assessment of kernel type performance for least squares support vector machine classifiers. [Citation Graph (, )][DBLP]


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