Bart Baesens

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

Coauthor Index

1	Manu De Backer	[9] [21] [26] [29] [30] [35]
2	Dirk-Emma Baestaens	[24]
3	Robert Castelo	[7]
4	Guido Dedene	[1] [2] [3] [4] [8] [10]
5	Peter Van Dijcke	[25]
6	Michael Egmont-Petersen	[7] [12] [17]
7	A. J. Feelders	[17]
8	Craig M. Files	[11] [15]
9	Joao Garcia	[25]
10	Tony Van Gestel	[1] [2] [4] [10] [22] [23] [24] [25] [27] [31] [32] [41]
11	Stijn Goedertier	[34]
12	Raf Haesen	[21] [26] [29] [30] [34] [35]
13	F. Hoffmann	[6] [32]
14	Tom Holvoet	[26]
15	Johan Huysmans	[13] [14] [20] [22] [27] [28] [33] [36] [39] [40]
16	Patrick Van Kenhove	[12]
17	Stefan Lessmann	[38]
18	David Martens	[21] [26] [27] [29] [30] [31] [34] [35] [39] [41]
19	Jurgen Martens	[6]
20	Bart De Moor	[1] [2] [4] [10]
21	Christophe Mues	[5] [9] [11] [13] [14] [15] [18] [19] [23] [29] [32] [35] [37] [38] [42]
22	Swantje Pietsch	[38]
23	Dirk Van den Poel	[1] [4] [8] [12] [24]
24	Pavel Pudil	[16]
25	Ferdi Put	[6]
26	Rudy Setiono	[5] [9] [18] [36] [37] [39] [42]
27	Monique Snoeck	[30]
28	Petr Somol	[16]
29	Johan A. K. Suykens	[1] [2] [4] [10] [24] [25]
30	Olivier Vandecruys	[35]
31	Joos Vandewalle	[10]
32	Jan Vanthienen	[1] [2] [3] [4] [5] [6] [7] [8] [9] [10] [11] [12] [13] [14] [15] [16] [18] [19] [20] [22] [23] [25] [27] [28] [29] [30] [31] [32] [33] [34] [36] [39] [40]
33	Geert Verstraeten	[12]
34	Stijn Viaene	[1] [2] [3] [4] [5] [8] [10]
35	Marleen Willekens	[24]