Software Effort Prediction Using Regression Rule Extraction from Neural Networks. - Rudy Setiono; Karel Dejaeger; Wouter Verbeke; David Martens; Bart Baesens (ICTAI (2), 2010)

A novel approach to the evaluation and improvement of data quality in the financial sector. - Karel Dejaeger; Bart Hamers; Jonas Poelmans; Bart Baesens (ICIQ, 2010)

Data quality for credit risk management. - Helen-Tadesse Moges; Karel Dejaeger; Wilfried Lemahieu; Bart Baesens (ICIQ, 2011)

An empirical evaluation of the comprehensibility of decision table, tree and rule based predictive models. - Johan Huysmans; Karel Dejaeger; Christophe Mues; Jan Vanthienen; Bart Baesens (Decis. Support Syst., 2011)

Gaining insight into student satisfaction using comprehensible data mining techniques. - Karel Dejaeger; Frank Goethals; Antonio Giangreco; Lapo Mola; Bart Baesens (Eur. J. Oper. Res., 2012)

New insights into churn prediction in the telecommunication sector: A profit driven data mining approach. - Wouter Verbeke; Karel Dejaeger; David Martens; Joon Hur; Bart Baesens (Eur. J. Oper. Res., 2012)

A total data quality management for credit risk: new insights and challenges. - Helen-Tadesse Moges; Karel Dejaeger; Wilfried Lemahieu; Bart Baesens (Int. J. Inf. Qual., 2012)

Data Mining Techniques for Software Effort Estimation: A Comparative Study. - Karel Dejaeger; Wouter Verbeke; David Martens; Bart Baesens (IEEE Trans. Software Eng., 2012)

A multidimensional analysis of data quality for credit risk management: New insights and challenges. - Helen-Tadesse Moges; Karel Dejaeger; Wilfried Lemahieu; Bart Baesens (Inf. Manag., 2013)

Toward Comprehensible Software Fault Prediction Models Using Bayesian Network Classifiers. - Karel Dejaeger; Thomas Verbraken; Bart Baesens (IEEE Trans. Software Eng., 2013)

Comprehensible software fault and effort prediction: A data mining approach. - Julie Moeyersoms; Enric Junqué de Fortuny; Karel Dejaeger; Bart Baesens; David Martens (J. Syst. Softw., 2015)