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 |