Bart Baesens - Concepedia

Author

Bart Baesens

Also Known As

Antonio Giangreco, B Baesens, B. BAESENS, B. Baesens, B.B. Baesens, BART BAESENS, Baesens, B., Baesens, Bart, Bart Baesens, Fabio Forte

511

Publications

18.7K

Citations

H-Index

218

Concepts

All Affiliations

KU Leuven University of Southampton Vlerick Business School Ghent University University of Antwerp

About

Bart Baesens is an author at KU Leuven specializing in engineering, data science, and predictive analytics.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	49	102	12K
2	Business	33	49	5.1K
3	Arts	3	3	103
4	Education	2	2	82
5	Law	2	2	61

Bart Baesens

154

Publications

16.5K

Citations

H-Index

Page 1

	Year	Citations
Benchmarking Classification Models for Software Defect Prediction: A Proposed Framework and Novel Findings Stefan Lessmann, Bart Baesens, Christophe Mues, IEEE Transactions on Software Engineering Software MaintenanceEngineeringSoftware EngineeringSoftware AnalysisClassification Models	2008	1.2K
Benchmarking state-of-the-art classification algorithms for credit scoring: An update of research Stefan Lessmann, Bart Baesens, Hsin‐Vonn Seow, European Journal of Operational Research Classification MethodEngineeringMachine LearningData ScienceData Mining	2015	1.1K
Benchmarking state-of-the-art classification algorithms for credit scoring Bart Baesens, Tony Van Gestel, Stijn Viaene, Journal of the Operational Research Society	2003	861
Benchmarking Least Squares Support Vector Machine Classifiers Tony Van Gestel, Johan A. K. Suykens, Bart Baesens, Machine Learning Support Vector MachineClassification MethodImage AnalysisMachine LearningData Science	2003	744
Using Neural Network Rule Extraction and Decision Tables for Credit-Risk Evaluation Bart Baesens, Rudy Setiono, Christophe Mues, Management Science Artificial IntelligenceEngineeringMachine LearningRisk Model ValidationFinancial Risk Management	2003	528
Classification With Ant Colony Optimization David Martens, Manu De Backer, Raf Haesen, IEEE Transactions on Evolutionary Computation Artificial IntelligenceData Mining FieldEngineeringMachine LearningIntelligent Systems	2007	435
New insights into churn prediction in the telecommunication sector: A profit driven data mining approach Wouter Verbeke, Karel Dejaeger, David Martens, European Journal of Operational Research Marketing AnalyticsTelecommunication SectorData ScienceData MiningBusiness Intelligence	2011	424
Comprehensible credit scoring models using rule extraction from support vector machines David Martens, Bart Baesens, Tony Van Gestel, European Journal of Operational Research EngineeringMachine LearningCredit ScoreText MiningSupport Vector Machine	2007	418
An empirical evaluation of the comprehensibility of decision table, tree and rule based predictive models Johan Huysmans, Karel Dejaeger, Christophe Mues, Decision Support Systems EngineeringDecision AnalysisBusiness AnalyticsData ScienceData Mining	2010	412
Building comprehensible customer churn prediction models with advanced rule induction techniques Wouter Verbeke, David Martens, Christophe Mues, Expert Systems with Applications Marketing AnalyticsEngineeringData ScienceData MiningBusiness Intelligence	2010	347

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