Bart Baesens

	2012
78		Wouter Verbeke, Karel Dejaeger, David Martens, Joon Hur, Bart Baesens: New insights into churn prediction in the telecommunication sector: A profit driven data mining approach. European Journal of Operational Research 218(1): 211-229 (2012)
77		Karel Dejaeger, Frank Goethals, Antonio Giangreco, Lapo Mola, Bart Baesens: Gaining insight into student satisfaction using comprehensible data mining techniques. European Journal of Operational Research 218(2): 548-562 (2012)
76		Alex Seret, Thomas Verbraken, Sébastien Versailles, Bart Baesens: A new SOM-based method for profile generation: Theory and an application in direct marketing. European Journal of Operational Research 220(1): 199-209 (2012)
75		Bart Baesens, Pantelis Bouboulis, Sergio Cruces, Carlotta Domeniconi, S. Ikeda, X. Li, Patricia Melin, V. Sree Hari Rao, Björn Schuller, Yi Shen, Huajin Tang, C. Wang, J. Yang, D. Zhao, D. Liu: Neural Networks and Learning Systems Come Together. IEEE Trans. Neural Netw. Learning Syst. 23(1): 1-6 (2012)
74		Karel Dejaeger, Wouter Verbeke, David Martens, Bart Baesens: Data Mining Techniques for Software Effort Estimation: A Comparative Study. IEEE Trans. Software Eng. 38(2): 375-397 (2012)
	2011
73		Filip Caron, Jan Vanthienen, Jochen De Weerdt, Bart Baesens: Advanced Care-Flow Mining and Analysis. Business Process Management Workshops (1) 2011: 167-168
72		Jochen De Weerdt, Manu De Backer, Jan Vanthienen, Bart Baesens: A robust F-measure for evaluating discovered process models. CIDM 2011: 148-155
71		Thomas Verbraken, Frank Goethals, Wouter Verbeke, Bart Baesens: Using Social Network Classifiers for Predicting E-Commerce Adoption. WEB 2011: 9-21
70		Stijn Goedertier, Jochen De Weerdt, David Martens, Jan Vanthienen, Bart Baesens: Process discovery in event logs: An application in the telecom industry. Appl. Soft Comput. 11(2): 1697-1710 (2011)
69		Johan Huysmans, Karel Dejaeger, Christophe Mues, Jan Vanthienen, Bart Baesens: An empirical evaluation of the comprehensibility of decision table, tree and rule based predictive models. Decision Support Systems 51(1): 141-154 (2011)
68		David Martens, Jan Vanthienen, Wouter Verbeke, Bart Baesens: Performance of classification models from a user perspective. Decision Support Systems 51(4): 782-793 (2011)
67		Elen Lima, Christophe Mues, Bart Baesens: Monitoring and backtesting churn models. Expert Syst. Appl. 38(1): 975-982 (2011)
66		Wouter Verbeke, David Martens, Christophe Mues, Bart Baesens: Building comprehensible customer churn prediction models with advanced rule induction techniques. Expert Syst. Appl. 38(3): 2354-2364 (2011)
65		David Martens, Christine Vanhoutte, Sophie De Winne, Bart Baesens, Luc Sels, Christophe Mues: Identifying financially successful start-up profiles with data mining. Expert Syst. Appl. 38(5): 5794-5800 (2011)
64		Bart Baesens, David Martens, Rudy Setiono, Jacek M. Zurada: Guest Editorial White Box Nonlinear Prediction Models. IEEE Transactions on Neural Networks 22(12): 2406-2408 (2011)
63		Rudy Setiono, Bart Baesens, Christophe Mues: Rule Extraction from Minimal Neural Networks for Credit Card Screening. Int. J. Neural Syst. 21(4): 265-276 (2011)
62		David Martens, Bart Baesens, Tom Fawcett: Editorial survey: swarm intelligence for data mining. Machine Learning 82(1): 1-42 (2011)
	2010
61		Jochen De Weerdt, Manu De Backer, Jan Vanthienen, Bart Baesens: A Critical Evaluation Study of Model-Log Metrics in Process Discovery. Business Process Management Workshops 2010: 158-169
60		Rudy Setiono, Karel Dejaeger, Wouter Verbeke, David Martens, Bart Baesens: Software Effort Prediction Using Regression Rule Extraction from Neural Networks. ICTAI (2) 2010: 45-52
59		David Martens, Bart Baesens: Building Acceptable Classification Models. Data Mining 2010: 53-74
58		G. Castermans, David Martens, Tony Van Gestel, B. Hamers, Bart Baesens: An overview and framework for PD backtesting and benchmarking. JORS 61(3): 359-373 (2010)
57		David Martens, Tony Van Gestel, Manu De Backer, Raf Haesen, Jan Vanthienen, Bart Baesens: Credit rating prediction using Ant Colony Optimization. JORS 61(4): 561-573 (2010)
56		Tony Van Gestel, Bart Baesens, David Martens: From linear to non-linear kernel based classifiers for bankruptcy prediction. Neurocomputing 73(16-18): 2955-2970 (2010)
	2009
55		Patrick Wessa, Bart Baesens: Fraud Detection in Statistics Education Based on the Compendium Platform and Reproducible Computing. CSIE (3) 2009: 50-54
54		Wouter Verbeke, Bart Baesens, David Martens, Manu De Backer, Raf Haesen: Including Domain Knowledge in Customer Churn Prediction Using AntMiner+. Industrial Conference on Data Mining - Workshop DMM 2009: 10-21
53		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)
52		Nicolas Glady, Bart Baesens, Christophe Croux: Modeling churn using customer lifetime value. European Journal of Operational Research 197(1): 402-411 (2009)
51		Nicolas Glady, Bart Baesens, Christophe Croux: A modified Pareto/NBD approach for predicting customer lifetime value. Expert Syst. Appl. 36(2): 2062-2071 (2009)
50		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)
49		Bjorn Cumps, David Martens, Manu De Backer, Raf Haesen, Stijn Viaene, Guido Dedene, Bart Baesens, Monique Snoeck: Inferring comprehensible business/ICT alignment rules. Information & Management 46(2): 116-124 (2009)
48		Elen Lima, Christophe Mues, Bart Baesens: Domain knowledge integration in data mining using decision tables: case studies in churn prediction. JORS 60(8): 1096-1106 (2009)
47		Bart Baesens, Christophe Mues, David Martens, Jan Vanthienen: 50 years of data mining and OR: upcoming trends and challenges. JORS 60(S1): (2009)
46		Stijn Goedertier, David Martens, Jan Vanthienen, Bart Baesens: Robust Process Discovery with Artificial Negative Events. Journal of Machine Learning Research 10: 1305-1340 (2009)
	2008
45		Johan Huysmans, Bart Baesens, Jan Vanthienen: A Data Miner's Approach to Country Corruption Analysis. Intelligence and Security Informatics 2008: 227-247
44		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
43		David Martens, Liesbeth Bruynseels, Bart Baesens, Marleen Willekens, Jan Vanthienen: Predicting going concern opinion with data mining. Decision Support Systems 45(4): 765-777 (2008)
42		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)
41		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)
40		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)
39		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
38		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
37		Johan Huysmans, Bart Baesens, Jan Vanthienen: A new approach for measuring rule set consistency. Data Knowl. Eng. 63(1): 167-182 (2007)
36		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)
35		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)
34		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
33		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
32		Johan Huysmans, Bart Baesens, Jan Vanthienen: ITER: An Algorithm for Predictive Regression Rule Extraction. DaWaK 2006: 270-279
31		Rudy Setiono, Christophe Mues, Bart Baesens: Risk Management and Regulatory Compliance: A Data Mining Framework Based on Neural Network Rule Extraction. ICIS 2006: 7
30		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
29		David Martens, Manu De Backer, Raf Haesen, Bart Baesens, Tom Holvoet: Ants Constructing Rule-Based Classifiers. Swarm Intelligence in Data Mining 2006: 21-43
28		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)
27		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)
26		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)
25		Johan Huysmans, Bart Baesens, Jan Vanthienen, Tony Van Gestel: Failure prediction with self organizing maps. Expert Syst. Appl. 30(3): 479-487 (2006)
	2005
24		Manu De Backer, Raf Haesen, David Martens, Bart Baesens: A Stigmergy Based Approach to Data Mining. Australian Conference on Artificial Intelligence 2005: 975-978
23		Johan Huysmans, Bart Baesens, Jan Vanthienen: A Comprehensible SOM-Based Scoring System. MLDM 2005: 80-89
22		Christophe Mues, Bart Baesens, Jan Vanthienen: From Knowledge Discovery to Implementation: Developing Business Intelligence Systems using Decision Tables. Wissensmanagement 2005: 439-443
21		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
20		Michael Egmont-Petersen, A. J. Feelders, Bart Baesens: Confidence intervals for probabilistic network classifiers. Computational Statistics & Data Analysis 49(4): 998-1019 (2005)
19		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
18		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
17		Christophe Mues, Johan Huysmans, Jan Vanthienen, Bart Baesens: Comprehensible Credit-Scoring Knowledge Visualization Using Decision Tables and Diagrams. ICEIS (2) 2004: 226-232
16		Johan Huysmans, Christophe Mues, Jan Vanthienen, Bart Baesens: Web Usage Mining with Time Constrained Association Rules. ICEIS (2) 2004: 343-348
15		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)
14		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)
13		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
12		Bart Baesens, Christophe Mues, Manu De Backer, Jan Vanthienen, Rudy Setiono: Building Intelligent Credit Scoring Systems Using Decision Tables. ICEIS (2) 2003: 19-25
11		Bart Baesens, Rudy Setiono, Christophe Mues, Jan Vanthienen: Using Neural Network Rule Extraction and Decision Tables for Credit - Risk Evaluation. Management Science 49(3): 312-329 (2003)
	2002
10		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
9		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
8		Bart Baesens, Stijn Viaene, Dirk Van den Poel, Jan Vanthienen, Guido Dedene: Bayesian neural network learning for repeat purchase modelling in direct marketing. European Journal of Operational Research 138(1): 191-211 (2002)
7		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
6		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
5		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)
4		Stijn Viaene, Bart Baesens, Dirk Van den Poel, Guido Dedene, Jan Vanthienen: Wrapped input selection using multilayer perceptrons for repeat-purchase modeling in direct marketing. Int. Syst. in Accounting, Finance and Management 10(2): 115-126 (2001)
	2000
3		Bart Baesens, Stijn Viaene, Jan Vanthienen, Guido Dedene: Wrapped Feature Selection by Means of Guided Neural Network Optimization. ICPR 2000: 2113-2116
2		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		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	[12] [24] [29] [33] [34] [39] [49] [54] [57] [61] [72]
2	Dirk-Emma Baestaens	[27]
3	Pantelis Bouboulis	[75]
4	Liesbeth Bruynseels	[43]
5	Filip Caron	[73]
6	Robert Castelo	[9]
7	G. Castermans	[58]
8	Christophe Croux	[51] [52]
9	Sergio Cruces (Sergio Antonio Cruces-Alvarez)	[75]
10	Bjorn Cumps	[49]
11	Guido Dedene	[1] [2] [3] [4] [5] [8] [10] [13] [49]
12	Karel Dejaeger	[60] [69] [74] [77] [78]
13	Peter Van Dijcke	[28]
14	Carlotta Domeniconi	[75]
15	Michael Egmont-Petersen	[9] [15] [20]
16	Tom Fawcett	[62]
17	A. J. Feelders (Ad Feelders)	[20]
18	Craig M. Files	[14] [18]
19	Joao Garcia	[28]
20	Tony Van Gestel	[1] [2] [5] [13] [25] [26] [27] [28] [30] [35] [36] [50] [56] [57] [58]
21	Antonio Giangreco	[77]
22	Nicolas Glady	[51] [52]
23	Stijn Goedertier	[38] [46] [70]
24	Frank Goethals	[71] [77]
25	Raf Haesen	[24] [29] [33] [34] [38] [39] [49] [54] [57]
26	B. Hamers	[58]
27	F. Hoffmann	[7] [36]
28	Tom Holvoet	[29]
29	Joon Hur	[78]
30	Johan Huysmans	[16] [17] [23] [25] [30] [32] [37] [40] [44] [45] [69]
31	S. Ikeda	[75]
32	Patrick Van Kenhove	[15]
33	Stefan Lessmann	[42]
34	X. Li	[75]
35	Elen Lima	[48] [67]
36	D. Liu	[75]
37	David Martens	[24] [29] [30] [33] [34] [35] [38] [39] [43] [44] [46] [47] [49] [50] [54] [56] [57] [58] [59] [60] [62] [64] [65] [66] [68] [70] [74] [78]
38	Jurgen Martens	[7]
39	Patricia Melin	[75]
40	Lapo Mola	[77]
41	Bart De Moor	[1] [2] [5] [13]
42	Christophe Mues	[6] [11] [12] [14] [16] [17] [18] [21] [22] [26] [31] [33] [36] [39] [41] [42] [47] [48] [53] [63] [65] [66] [67] [69]
43	Swantje Pietsch	[42]
44	Dirk Van den Poel	[1] [4] [5] [8] [10] [15] [27]
45	Pavel Pudil	[19]
46	Ferdi Put	[7]
47	V. Sree Hari Rao	[75]
48	Björn Schuller	[75]
49	Luc Sels	[65]
50	Alex Seret	[76]
51	Rudy Setiono	[6] [11] [12] [21] [31] [40] [41] [44] [53] [60] [63] [64]
52	Yi Shen	[75]
53	Monique Snoeck	[34] [49]
54	Petr Somol	[19]
55	Johan A. K. Suykens	[1] [2] [5] [13] [27] [28]
56	Huajin Tang	[75]
57	Olivier Vandecruys	[39]
58	Joos Vandewalle	[13]
59	Christine Vanhoutte	[65]
60	Jan Vanthienen	[1] [2] [3] [4] [5] [6] [7] [8] [9] [10] [11] [12] [13] [14] [15] [16] [17] [18] [19] [21] [22] [23] [25] [26] [28] [30] [32] [33] [34] [35] [36] [37] [38] [40] [43] [44] [45] [46] [47] [57] [61] [68] [69] [70] [72] [73]
61	Wouter Verbeke	[54] [60] [66] [68] [71] [74] [78]
62	Thomas Verbraken	[71] [76]
63	Sébastien Versailles	[76]
64	Geert Verstraeten	[15]
65	Stijn Viaene	[1] [2] [3] [4] [5] [6] [8] [10] [13] [49]
66	C. Wang	[75]
67	Jochen De Weerdt	[61] [70] [72] [73]
68	Patrick Wessa	[55]
69	Marleen Willekens	[27] [43]
70	Sophie De Winne	[65]
71	J. Yang	[75]
72	D. Zhao	[75]
73	Jacek M. Zurada	[64]

Colors in the list of coauthors

Last update Sun May 27 04:04:01 2012 CET by the DBLP Team — Data released under the ODC-BY 1.0 license — See also our legal information page