Search Results - "Vanthienen, J"

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  1. 1

    Benchmarking state-of-the-art classification algorithms for credit scoring by Baesens, B, Van Gestel, T, Viaene, S, Stepanova, M, Suykens, J, Vanthienen, J

    “…In this paper, we study the performance of various state-of-the-art classification algorithms applied to eight real-life credit scoring data sets. Some of the…”
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    Journal Article
  2. 2

    Classification With Ant Colony Optimization by Martens, D., De Backer, M., Haesen, R., Vanthienen, J., Snoeck, M., Baesens, B.

    “…Ant colony optimization (ACO) can be applied to the data mining field to extract rule-based classifiers. The aim of this paper is twofold. On the one hand, we…”
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    Journal Article
  3. 3

    50 Years of Data Mining and OR: Upcoming Trends and Challenges by Baesens, B., Mues, C., Martens, D., Vanthienen, J.

    “…Data mining involves extracting interesting patterns from data and can be found at the heart of operational research (OR), as its aim is to create and enhance…”
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    Journal Article Conference Proceeding
  4. 4

    Inferring descriptive and approximate fuzzy rules for credit scoring using evolutionary algorithms by Hoffmann, F., Baesens, B., Mues, C., Van Gestel, T., Vanthienen, J.

    Published in European journal of operational research (16-02-2007)
    “…Generating both accurate as well as explanatory classification rules is becoming increasingly important in a knowledge discovery context. In this paper, we…”
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    Journal Article
  5. 5

    Neural Network Survival Analysis for Personal Loan Data by B. Baesens, T. Van Gestel, Stepanova, M., D. Van den Poel, J. Vanthienen

    “…Traditionally, credit scoring aimed at distinguishing good payers from bad payers at the time of the application. The timing when customers default is also…”
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    Journal Article
  6. 6

    Credit rating prediction using Ant Colony Optimization by Martens, D, Van Gestel, T, De Backer, M, Haesen, R, Vanthienen, J, Baesens, B

    “…The introduction of the Basel II Capital Accord has encouraged financial institutions to build internal rating systems assessing the credit risk of their…”
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    Journal Article
  7. 7

    Shear stress sustains atheroprotective endothelial KLF2 expression more potently than statins through mRNA stabilization by VAN THIENEN, Johannes V, FLEDDERUS, Joost O, DEKKER, Rob J, ROHLENA, Jakub, VAN IJZENDOOM, Gerben A, KOOTSTRA, Neeltje A, PANNEKOEK, Hans, HORREVOETS, Anton J. G

    Published in Cardiovascular research (01-11-2006)
    “…The transcription factor KLF2 is considered an important mediator of the anti-inflammatory and anti-thrombotic properties of the endothelium. KLF2 is absent…”
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    Journal Article
  8. 8

    Minerva: Sequential Covering for Rule Extraction by Huysmans, J., Setiono, R., Baesens, B., Vanthienen, J.

    “…Various benchmarking studies have shown that artificial neural networks and support vector machines often have superior performance when compared to more…”
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    Journal Article
  9. 9

    Comparing a genetic fuzzy and a neurofuzzy classifier for credit scoring by Hoffmann, F., Baesens, B., Martens, J., Put, F., Vanthienen, J.

    “…In this paper, we evaluate and contrast two types of fuzzy classifiers for credit scoring. The first classifier uses evolutionary optimization and boosting for…”
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    Journal Article
  10. 10

    An illustration of verification and validation in the modelling phase of KBS development by Vanthienen, J., Mues, C., Aerts, A.

    Published in Data & knowledge engineering (01-10-1998)
    “…Reliability has become a key factor in KBS development. For this reason, it has been suggested that verification and validation (V&V) should become an…”
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    Journal Article
  11. 11

    A tool-supported approach to inter-tabular verification by Vanthienen, J., Mues, C., Wets, G., Delaere, K.

    Published in Expert systems with applications (01-10-1998)
    “…The use of decision tables to verify knowledge based systems (KBS) has been advocated several times in the validation and verification (V&V) literature…”
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    Journal Article
  12. 12

    Knowledge discovery in a direct marketing case using least squares support vector machines by Viaene, S., Baesens, B., Van Gestel, T., Suykens, J. A. K., Van den Poel, D., Vanthienen, J., De Moor, B., Dedene, G.

    “…We study the problem of repeat‐purchase modeling in a direct marketing setting using Belgian data. More specifically, we investigate the detection and…”
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    Journal Article
  13. 13

    A synthesis of fuzzy rule-based system verification by Viaene, S., Wets, G., Vanthienen, J.

    Published in Fuzzy sets and systems (16-07-2000)
    “…The verification of fuzzy rule bases for anomalies has received increasing attention these last few years. Many different approaches have been suggested and…”
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    Journal Article
  14. 14

    Acquiring logistics process intelligence: Methodology and an application for a Chinese bulk port by Wang, Ying, Caron, Filip, Vanthienen, Jan, Huang, Lei, Guo, Yi

    Published in Expert systems with applications (01-01-2014)
    “…The processes of logistics service providers are considered as highly human-centric, flexible and complex. Deviations from the standard operating procedures as…”
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    Journal Article
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    Extending a tabular knowledge-based framework with feature selection by Wets, G., Vanthienen, J., Piramuthu, S.

    Published in Expert systems with applications (01-08-1997)
    “…Tabular knowledge-based systems are known for their ease in verification and validation of knowledge bases. The main drawback of these systems is the…”
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    Journal Article
  17. 17

    Learning Bayesian network classifiers for credit scoring using Markov chain Monte Carlo search by Baesens, B., Egmont-Petersen, M., Castelo, R., Vanthienen, J.

    “…In this paper, we evaluate the power and usefulness of Bayesian network classifiers (probabilistic networks) for credit scoring. Various types of Bayesian…”
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    Conference Proceeding
  18. 18

    Benchmarking Least Squares Support Vector Machine Classifiers by van Gestel, Tony, Suykens, Johan A.K., Baesens, Bart, Viaene, Stijn, Vanthienen, Jan, Dedene, Guido, de Moor, Bart, Vandewalle, Joos

    Published in Machine learning (01-01-2004)
    “…In Support Vector Machines (SVMs), the solution of the classification problem is characterized by a (convex) quadratic programming (QP) problem. In a modified…”
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    Journal Article
  19. 19

    Using Neural Network Rule Extraction and Decision Tables for Credit-Risk Evaluation by Baesens, Bart, Setiono, Rudy, Mues, Christophe, Vanthienen, Jan

    Published in Management science (01-03-2003)
    “…Credit–risk evaluation is a very challenging and important management science problem in the domain of financial analysis. Many classification methods have…”
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    Journal Article
  20. 20

    Bayesian neural network learning for repeat purchase modelling in direct marketing by Baesens, Bart, Viaene, Stijn, Van den Poel, Dirk, Vanthienen, Jan, Dedene, Guido

    Published in European journal of operational research (01-04-2002)
    “…We focus on purchase incidence modelling for a European direct mail company. Response models based on statistical and neural network techniques are contrasted…”
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    Journal Article