2009 |
42 | EE | Rudy Setiono,
Bart Baesens,
Christophe Mues:
A note on knowledge discovery using neural networks and its application to credit card screening.
European Journal of Operational Research 192(1): 326-332 (2009) |
41 | EE | 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) |
2008 |
40 | EE | Johan Huysmans,
Bart Baesens,
Jan Vanthienen:
A Data Miner's Approach to Country Corruption Analysis.
Intelligence and Security Informatics 2008: 227-247 |
39 | EE | David Martens,
Johan Huysmans,
Rudy Setiono,
Jan Vanthienen,
Bart Baesens:
Rule Extraction from Support Vector Machines: An Overview of Issues and Application in Credit Scoring.
Rule Extraction from Support Vector Machines 2008: 33-63 |
38 | EE | Stefan Lessmann,
Bart Baesens,
Christophe Mues,
Swantje Pietsch:
Benchmarking Classification Models for Software Defect Prediction: A Proposed Framework and Novel Findings.
IEEE Trans. Software Eng. 34(4): 485-496 (2008) |
37 | EE | Rudy Setiono,
Bart Baesens,
Christophe Mues:
Recursive Neural Network Rule Extraction for Data With Mixed Attributes.
IEEE Transactions on Neural Networks 19(2): 299-307 (2008) |
36 | EE | Johan Huysmans,
Rudy Setiono,
Bart Baesens,
Jan Vanthienen:
Minerva: Sequential Covering for Rule Extraction.
IEEE Transactions on Systems, Man, and Cybernetics, Part B 38(2): 299-309 (2008) |
35 | EE | Olivier Vandecruys,
David Martens,
Bart Baesens,
Christophe Mues,
Manu De Backer,
Raf Haesen:
Mining software repositories for comprehensible software fault prediction models.
Journal of Systems and Software 81(5): 823-839 (2008) |
2007 |
34 | EE | Stijn Goedertier,
David Martens,
Bart Baesens,
Raf Haesen,
Jan Vanthienen:
Process Mining as First-Order Classification Learning on Logs with Negative Events.
Business Process Management Workshops 2007: 42-53 |
33 | EE | Johan Huysmans,
Bart Baesens,
Jan Vanthienen:
A new approach for measuring rule set consistency.
Data Knowl. Eng. 63(1): 167-182 (2007) |
32 | EE | 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) |
31 | EE | 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) |
30 | EE | David Martens,
Manu De Backer,
Raf Haesen,
Jan Vanthienen,
Monique Snoeck,
Bart Baesens:
Classification With Ant Colony Optimization.
IEEE Trans. Evolutionary Computation 11(5): 651-665 (2007) |
2006 |
29 | EE | David Martens,
Manu De Backer,
Raf Haesen,
Bart Baesens,
Christophe Mues,
Jan Vanthienen:
Ant-Based Approach to the Knowledge Fusion Problem.
ANTS Workshop 2006: 84-95 |
28 | EE | Johan Huysmans,
Bart Baesens,
Jan Vanthienen:
ITER: An Algorithm for Predictive Regression Rule Extraction.
DaWaK 2006: 270-279 |
27 | EE | 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 |
26 | EE | David Martens,
Manu De Backer,
Raf Haesen,
Bart Baesens,
Tom Holvoet:
Ants Constructing Rule-Based Classifiers.
Swarm Intelligence in Data Mining 2006: 21-43 |
25 | EE | 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) |
24 | EE | 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) |
23 | EE | 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) |
22 | EE | Johan Huysmans,
Bart Baesens,
Jan Vanthienen,
Tony Van Gestel:
Failure prediction with self organizing maps.
Expert Syst. Appl. 30(3): 479-487 (2006) |
2005 |
21 | EE | Manu De Backer,
Raf Haesen,
David Martens,
Bart Baesens:
A Stigmergy Based Approach to Data Mining.
Australian Conference on Artificial Intelligence 2005: 975-978 |
20 | EE | Johan Huysmans,
Bart Baesens,
Jan Vanthienen:
A Comprehensible SOM-Based Scoring System.
MLDM 2005: 80-89 |
19 | | Christophe Mues,
Bart Baesens,
Jan Vanthienen:
From Knowledge Discovery to Implementation: Developing Business Intelligence Systems using Decision Tables.
Wissensmanagement 2005: 439-443 |
18 | EE | Christophe Mues,
Bart Baesens,
Rudy Setiono,
Jan Vanthienen:
From Knowledge Discovery to Implementation: A Business Intelligence Approach Using Neural Network Rule Extraction and Decision Tables.
Wissensmanagement (LNCS Volume) 2005: 483-495 |
17 | EE | Michael Egmont-Petersen,
A. J. Feelders,
Bart Baesens:
Confidence intervals for probabilistic network classifiers.
Computational Statistics & Data Analysis 49(4): 998-1019 (2005) |
16 | EE | Petr Somol,
Bart Baesens,
Pavel Pudil,
Jan Vanthienen:
Filter- versus wrapper-based feature selection for credit scoring.
Int. J. Intell. Syst. 20(10): 985-999 (2005) |
2004 |
15 | EE | Christophe Mues,
Bart Baesens,
Craig M. Files,
Jan Vanthienen:
Decision Diagrams in Machine Learning: An Empirical Study on Real-Life Credit-Risk Data.
Diagrams 2004: 395-397 |
14 | | Christophe Mues,
Johan Huysmans,
Jan Vanthienen,
Bart Baesens:
Comprehensible Credit-Scoring Knowledge Visualization Using Decision Tables and Diagrams.
ICEIS (2) 2004: 226-232 |
13 | | Johan Huysmans,
Christophe Mues,
Jan Vanthienen,
Bart Baesens:
Web Usage Mining with Time Constrained Association Rules.
ICEIS (2) 2004: 343-348 |
12 | EE | Bart Baesens,
Geert Verstraeten,
Dirk Van den Poel,
Michael Egmont-Petersen,
Patrick Van Kenhove,
Jan Vanthienen:
Bayesian network classifiers for identifying the slope of the customer lifecycle of long-life customers.
European Journal of Operational Research 156(2): 508-523 (2004) |
11 | EE | Christophe Mues,
Bart Baesens,
Craig M. Files,
Jan Vanthienen:
Decision diagrams in machine learning: an empirical study on real-life credit-risk data.
Expert Syst. Appl. 27(2): 257-264 (2004) |
10 | EE | 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 |
9 | | Bart Baesens,
Christophe Mues,
Manu De Backer,
Jan Vanthienen,
Rudy Setiono:
Building Intelligent Credit Scoring Systems Using Decision Tables.
ICEIS (2) 2003: 19-25 |
2002 |
8 | | Stijn Viaene,
Bart Baesens,
Guido Dedene,
Jan Vanthienen,
Dirk Van den Poel:
Proof Running Two State-Of-The-Art Pattern Recognition Techniques in the Field of Direct Marketing.
ICEIS 2002: 446-454 |
7 | EE | Bart Baesens,
Michael Egmont-Petersen,
Robert Castelo,
Jan Vanthienen:
Learning Bayesian Network Classifiers for Credit Scoring Using Markov Chain Monte Carlo Search.
ICPR (3) 2002: 49-52 |
6 | EE | F. Hoffmann,
Bart Baesens,
Jurgen Martens,
Ferdi Put,
Jan Vanthienen:
Comparing a genetic fuzzy and a neurofuzzy classifier for credit scoring.
Int. J. Intell. Syst. 17(11): 1067-1083 (2002) |
2001 |
5 | | Bart Baesens,
Rudy Setiono,
Christophe Mues,
Stijn Viaene,
Jan Vanthienen:
Building Credit-Risk Evaluation Expert Systems Using Neural Network Rule Extraction and Decision Tables.
ICIS 2001: 159-168 |
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 in a direct marketing case using least squares support vector machines.
Int. J. Intell. Syst. 16(9): 1023-1036 (2001) |
2000 |
3 | EE | Bart Baesens,
Stijn Viaene,
Jan Vanthienen,
Guido Dedene:
Wrapped Feature Selection by Means of Guided Neural Network Optimization.
ICPR 2000: 2113-2116 |
2 | EE | 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 | EE | 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 |