2008 |
68 | EE | Yan Tang,
Robert Meersman,
Jan Vanthienen:
Semantic Decision Tables: Self-organizing and Reorganizable Decision Tables.
DEXA 2008: 434-449 |
67 | EE | Johan Huysmans,
Bart Baesens,
Jan Vanthienen:
A Data Miner's Approach to Country Corruption Analysis.
Intelligence and Security Informatics 2008: 227-247 |
66 | 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 |
65 | 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) |
2007 |
64 | 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 |
63 | EE | Stijn Goedertier,
Jan Vanthienen:
A Vocabulary and Execution Model for Declarative Service Orchestration.
Business Process Management Workshops 2007: 496-501 |
62 | EE | Stijn Goedertier,
Jan Vanthienen:
Declarative Process Modeling with Business Vocabulary and Business Rules.
OTM Workshops (1) 2007: 603-612 |
61 | EE | Stijn Goedertier,
Christophe Mues,
Jan Vanthienen:
Specifying Process-Aware Access Control Rules in SBVR.
RuleML 2007: 39-52 |
60 | EE | Johan Huysmans,
Bart Baesens,
Jan Vanthienen:
A new approach for measuring rule set consistency.
Data Knowl. Eng. 63(1): 167-182 (2007) |
59 | 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) |
58 | 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) |
57 | 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 |
56 | EE | Birger Weynants,
Jan Vanthienen,
Joke Tisaun:
Knowledge Integration in Information Systems Education Through an (Inter)active Platform of Analysis and Modelling Case Studies.
ADVIS 2006: 294-303 |
55 | 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 |
54 | | Jan De Beer,
Nishant Kumar,
Marie-Francine Moens,
Jan Vanthienen:
Assessing the State of the Art of Commercial Tools for Unstructured Information Exploitation.
BIS 2006: 315-328 |
53 | | Stijn Goedertier,
Jan Vanthienen:
Business Rules for Compliant Business Process Models.
BIS 2006: 558-572 |
52 | EE | Stijn Goedertier,
Jan Vanthienen:
Compliant and Flexible Business Processes with Business Rules.
BPMDS 2006 |
51 | EE | Stijn Goedertier,
Jan Vanthienen:
Designing Compliant Business Processes with Obligations and Permissions.
Business Process Management Workshops 2006: 5-14 |
50 | EE | Johan Huysmans,
Bart Baesens,
Jan Vanthienen:
ITER: An Algorithm for Predictive Regression Rule Extraction.
DaWaK 2006: 270-279 |
49 | | Nishant Kumar,
Jan Vanthienen,
Jan De Beer,
Marie-Francine Moens:
Multi-Criteria Evaluation of Information Retrieval Tools.
ICEIS (2) 2006: 150-155 |
48 | EE | Nishant Kumar,
Jan De Beer,
Jan Vanthienen,
Marie-Francine Moens:
Intelligent Information Retrieval Tools for Police.
ISI 2006: 664-665 |
47 | EE | Nishant Kumar,
Jan De Beer,
Jan Vanthienen,
Marie-Francine Moens:
Evaluation of Information Retrieval and Text Mining Tools on Automatic Named Entity Extraction.
ISI 2006: 666-667 |
46 | EE | Nick Geens,
Johan Huysmans,
Jan Vanthienen:
Evaluation of Web Robot Discovery Techniques: A Benchmarking Study.
Industrial Conference on Data Mining 2006: 121-130 |
45 | EE | Jan Vanthienen,
Christophe Mues,
Stijn Goedertier:
Experiences with Modeling and Verification of Regulations.
ReMo2V 2006 |
44 | 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 |
43 | 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) |
42 | 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) |
41 | 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 |
40 | EE | Johan Huysmans,
Bart Baesens,
Jan Vanthienen:
A Comprehensible SOM-Based Scoring System.
MLDM 2005: 80-89 |
39 | | Christophe Mues,
Bart Baesens,
Jan Vanthienen:
From Knowledge Discovery to Implementation: Developing Business Intelligence Systems using Decision Tables.
Wissensmanagement 2005: 439-443 |
38 | 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 |
37 | 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 |
36 | | Joke Tisaun,
Herman Buelens,
Jan Vanthienen:
Organizing Decentralized Support for a Virtual Learning Environment.
CELDA 2004: 504-507 |
35 | EE | Christophe Mues,
Jan Vanthienen:
Efficient Rule Base Verification Using Binary Decision Diagrams.
DEXA 2004: 445-454 |
34 | 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 |
33 | | Christophe Mues,
Johan Huysmans,
Jan Vanthienen,
Bart Baesens:
Comprehensible Credit-Scoring Knowledge Visualization Using Decision Tables and Diagrams.
ICEIS (2) 2004: 226-232 |
32 | | Johan Huysmans,
Christophe Mues,
Jan Vanthienen,
Bart Baesens:
Web Usage Mining with Time Constrained Association Rules.
ICEIS (2) 2004: 343-348 |
31 | EE | Christophe Mues,
Jan Vanthienen:
Improving the Scalability of Rule Base Verification Using Binary Decision Diagrams: An Empirical Study.
KI 2004: 381-395 |
30 | 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) |
29 | 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) |
28 | 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 |
27 | | 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 |
26 | | 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 |
25 | 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 |
24 | 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 |
23 | | 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 |
22 | | 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 |
21 | EE | Bart Baesens,
Stijn Viaene,
Jan Vanthienen,
Guido Dedene:
Wrapped Feature Selection by Means of Guided Neural Network Optimization.
ICPR 2000: 2113-2116 |
20 | 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 |
19 | 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 |
18 | | Jurgen Martens,
Geert Wets,
Jan Vanthienen,
Christophe Mues:
Improving a neuro-fuzzy classifier using exploratory factor analysis.
Int. J. Intell. Syst. 15(8): 785-800 (2000) |
1999 |
17 | | Jan Vanthienen,
Ana María Moreno García:
Illustrating Knowledge Base Restructuring and Verification in a Real World Application.
EUROVAV 1999: 177-191 |
1998 |
16 | | Geert Wets,
Jan Vanthienen,
Harry J. P. Timmermans:
Modelling Decision Tables from Data.
PAKDD 1998: 412-413 |
15 | | Grigoris Antoniou,
Frank van Harmelen,
Robert Plant,
Jan Vanthienen:
Verification and Validation of Knowledge-Based Systems: Report on Two 1997 Events.
AI Magazine 19(3): 123-126 (1998) |
14 | EE | Jan Vanthienen,
Christophe Mues,
Ann Aerts:
An Illustration of Verification and Validation in the Modelling Phase of KBS Development.
Data Knowl. Eng. 27(3): 337-352 (1998) |
1997 |
13 | | Jan Vanthienen,
Frank van Harmelen:
Proceedings of the Fourth European Symposium on the Validation and Verification of Knowledge-Based Systems, EUROVAV'97, June 26-28, 1997, Katholieke Universiteit Leuven, Leuven, Belgium
Katholieke Universiteit Leuven, Belgium 1997 |
12 | | Jan Vanthienen,
Christophe Mues,
Geert Wets:
Inter-Tabular Verification in an Interactive Environment.
EUROVAV 1997: 155-165 |
1996 |
11 | EE | Jan Vanthienen,
Stephan Poelmans:
A General Framework for Positioning, Evaluating and Selecting the New Generation of Development Tools.
EUROMICRO 1996: 233-241 |
10 | | Carine Van den Acker,
Jan Vanthienen:
Integrating Statistical Audit Evidence with Belief Function Theory.
FAPR 1996: 1-14 |
9 | | Jan Vanthienen,
E. Dries,
J. Keppens:
Clustering Knowledge in Tabular Knowledge Bases.
ICTAI 1996: 88-95 |
1995 |
8 | | Jan Vanthienen,
Ann Aerts,
Christophe Mues,
Geert Wets:
A Modeling Approach to KBS Verification.
EUROVAV 1995: 155-171 |
7 | EE | Jan Vanthienen,
Geert Wets:
Integration of the Decision Table Formalism with a Relational Environment
Inf. Syst. 20(7): 595-616 (1995) |
1994 |
6 | | Jan Vanthienen,
Geert Wets:
Restructuring and Optimizing Knowledge Representations.
ICTAI 1994: 768-771 |
5 | | Jan Vanthienen,
Geert Wets:
Managing decision table knowledge in a relational database environment.
SEKE 1994: 352-357 |
4 | | Jan Vanthienen,
Geert Wets:
From Decision Tables to Expert System Shells.
Data Knowl. Eng. 13(3): 265-282 (1994) |
1993 |
3 | EE | Jan Vanthienen,
F. Robben:
Developing Legal Knowledge Based Systems Using Decision Tables.
ICAIL 1993: 282-291 |
2 | | Jan Vanthienen,
E. Dries:
Illustration of a Decision Table Tool for Specifying and Implementing Knowledge Based Systems.
ICTAI 1993: 198-205 |
1990 |
1 | | F. Hazevoets,
B. Vanhoutte,
Jan Vanthienen:
An Expert System Interface for Consultation of Decision Table Systems.
DEXA 1990: 527-530 |