A Modeling Approach to KBS Verification. - Jan Vanthienen; Ann Aerts; Christophe Mues; Geert Wets (EUROVAV, 1995)

Inter-Tabular Verification in an Interactive Environment. - Jan Vanthienen; Christophe Mues; Geert Wets (EUROVAV, 1997)

Extracting complete and consistent knowledge patterns from data. - Geert Wets; Jan Vanthienen; Christophe Mues; Harry J. P. Timmermans (EUROVAV, 1998)

An Illustration of Verification and Validation in the Modelling Phase of KBS Development. - Jan Vanthienen; Christophe Mues; Ann Aerts (Data Knowl. Eng., 1998)

Improving a neuro-fuzzy classifier using exploratory factor analysis. - Jurgen Martens; Geert Wets; Jan Vanthienen; Christophe Mues (Int. J. Intell. Syst., 2000)

Building Credit-Risk Evaluation Expert Systems Using Neural Network Rule Extraction and Decision Tables. - Bart Baesens; Rudy Setiono; Christophe Mues; Stijn Viaene; Jan Vanthienen (ICIS, 2001)

Building Intelligent Credit Scoring Systems Using Decision Tables. - Bart Baesens; Christophe Mues; Manu De Backer; Jan Vanthienen; Rudy Setiono (ICEIS (2), 2003)

Using Neural Network Rule Extraction and Decision Tables for Credit - Risk Evaluation. - Bart Baesens; Rudy Setiono; Christophe Mues; Jan Vanthienen (Manag. Sci., 2003)

Efficient Rule Base Verification Using Binary Decision Diagrams. - Christophe Mues; Jan Vanthienen (DEXA, 2004)

Web Usage Mining with Time Constrained Association Rules. - Johan Huysmans; Christophe Mues; Jan Vanthienen; Bart Baesens (ICEIS (2), 2004)

Comprehensible Credit-Scoring Knowledge Visualization Using Decision Tables and Diagrams. - Christophe Mues; Johan Huysmans; Jan Vanthienen; Bart Baesens (ICEIS (Selected Papers), 2004)

Improving the Scalability of Rule Base Verification Using Binary Decision Diagrams: An Empirical Study. - Christophe Mues; Jan Vanthienen (KI, 2004)

Decision diagrams in machine learning: an empirical study on real-life credit-risk data. - Christophe Mues; Bart Baesens; Craig M. Files; Jan Vanthienen (Expert Syst. Appl., 2004)

From Knowledge Discovery to Implementation: A Business Intelligence Approach Using Neural Network Rule Extraction and Decision Tables. - Christophe Mues; Bart Baesens; Rudy Setiono; Jan Vanthienen (Wissensmanagement (LNCS Volume), 2005)

From Knowledge Discovery to Implementation: Developing Business Intelligence Systems using Decision Tables. - Christophe Mues; Bart Baesens; Jan Vanthienen (Wissensmanagement, 2005)

Ant-Based Approach to the Knowledge Fusion Problem. - David Martens; Manu De Backer; Raf Haesen; Bart Baesens; Christophe Mues; Jan Vanthienen (ANTS Workshop, 2006)

Experiences with Modeling and Verification of Regulations. - Jan Vanthienen; Christophe Mues; Stijn Goedertier (ReMo2V, 2006)

Risk Management and Regulatory Compliance: A Data Mining Framework Based on Neural Network Rule Extraction. - Rudy Setiono; Christophe Mues; Bart Baesens (ICIS, 2006)

Special issue on intelligent information systems for financial engineering. - Bart Baesens; Christophe Mues; Tony Van Gestel; Jan Vanthienen (Expert Syst. Appl., 2006)

Specifying Process-Aware Access Control Rules in SBVR. - Stijn Goedertier; Christophe Mues; Jan Vanthienen (RuleML, 2007)

Inferring descriptive and approximate fuzzy rules for credit scoring using evolutionary algorithms. - Frank Hoffmann; Bart Baesens; Christophe Mues; Tony Van Gestel; Jan Vanthienen (Eur. J. Oper. Res., 2007)

Mining software repositories for comprehensible software fault prediction models. - Olivier Vandecruys; David Martens; Bart Baesens; Christophe Mues; Manu De Backer; Raf Haesen (J. Syst. Softw., 2008)

Recursive Neural Network Rule Extraction for Data With Mixed Attributes. - Rudy Setiono; Bart Baesens; Christophe Mues (IEEE Trans. Neural Networks, 2008)

Benchmarking Classification Models for Software Defect Prediction: A Proposed Framework and Novel Findings. - Stefan Lessmann; Bart Baesens; Christophe Mues; Swantje Pietsch (IEEE Trans. Software Eng., 2008)

A note on knowledge discovery using neural networks and its application to credit card screening. - Rudy Setiono; Bart Baesens; Christophe Mues (Eur. J. Oper. Res., 2009)

50 years of data mining and OR: upcoming trends and challenges. - Bart Baesens; Christophe Mues; David Martens; Jan Vanthienen (J. Oper. Res. Soc., 2009)

Domain knowledge integration in data mining using decision tables: case studies in churn prediction. - Elen Lima; Christophe Mues; Bart Baesens (J. Oper. Res. Soc., 2009)

Modelling LGD for unsecured personal loans: decision tree approach. - Ania Matuszyk; Christophe Mues; Lyn C. Thomas (J. Oper. Res. Soc., 2010)

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)

Monitoring and backtesting churn models. - Elen Lima; Christophe Mues; Bart Baesens (Expert Syst. Appl., 2011)

Identifying financially successful start-up profiles with data mining. - David Martens; Christine Vanhoutte; Sophie De Winne; Bart Baesens; Luc Sels; Christophe Mues (Expert Syst. Appl., 2011)

Building comprehensible customer churn prediction models with advanced rule induction techniques. - Wouter Verbeke; David Martens; Christophe Mues; Bart Baesens (Expert Syst. Appl., 2011)

Rule Extraction from Minimal Neural Networks for Credit Card Screening. - Rudy Setiono; Bart Baesens; Christophe Mues (Int. J. Neural Syst., 2011)

Selecting Accurate and Comprehensible Regression Algorithms through Meta Learning. - Gert Loterman; Christophe Mues (ICDM Workshops, 2012)

Mixture cure models in credit scoring: If and when borrowers default. - Edward N. C. Tong; Christophe Mues; Lyn C. Thomas (Eur. J. Oper. Res., 2012)

An experimental comparison of classification algorithms for imbalanced credit scoring data sets. - Iain Brown; Christophe Mues (Expert Syst. Appl., 2012)

Using a transactor/revolver scorecard to make credit and pricing decisions. - Mee Chi So; Lyn C. Thomas; Hsin-Vonn Seow; Christophe Mues (Decis. Support Syst., 2014)

The economy and loss given default: evidence from two UK retail lending data sets. - Mindy Leow; Christophe Mues; Lyn C. Thomas (J. Oper. Res. Soc., 2014)

Learning algorithm selection for comprehensible regression analysis using datasetoids. - Gert Loterman; Christophe Mues (Intell. Data Anal., 2015)

Editorial. - Jonathan Crook; Tony Bellotti; Christophe Mues (Eur. J. Oper. Res., 2016)

An empirical comparison of classification algorithms for mortgage default prediction: evidence from a distressed mortgage market. - Trevor Fitzpatrick; Christophe Mues (Eur. J. Oper. Res., 2016)

Modelling repayment patterns in the collections process for unsecured consumer debt: A case study. - Lyn C. Thomas; Anna Matuszyk; Mee Chi So; Christophe Mues; Angela Moore (Eur. J. Oper. Res., 2016)

Exposure at default models with and without the credit conversion factor. - Edward N. C. Tong; Christophe Mues; Iain Brown; Lyn C. Thomas (Eur. J. Oper. Res., 2016)

Lyn Thomas 1946-2016. - Sally C. Brailsford; Thomas W. Archibald; Christophe Mues; Mee Chi So; Adiel Teixeira de Almeida Filho (Eur. J. Oper. Res., 2017)

Special issue on credit risk modelling. - Jonathan Crook; Christophe Mues; Tony Bellotti; Galina Andreeva (J. Oper. Res. Soc., 2019)

Debtor level collection operations using Bayesian dynamic programming. - Mee Chi So; Christophe Mues; Adiel Teixeira de Almeida Filho; Lyn C. Thomas (J. Oper. Res. Soc., 2019)

Deep residential representations: Using unsupervised learning to unlock elevation data for geo-demographic prediction. - Matthew Stevenson; Christophe Mues; Cristián Bravo (CoRR, 2021)

How can lenders prosper? Comparing machine learning approaches to identify profitable peer-to-peer loan investments. - Trevor Fitzpatrick; Christophe Mues (Eur. J. Oper. Res., 2021)

The value of text for small business default prediction: A Deep Learning approach. - Matthew Stevenson; Christophe Mues; Cristián Bravo (Eur. J. Oper. Res., 2021)

Editorial. - Jonathan Crook; Tony Bellotti; Christophe Mues; Galina Andreeva (J. Oper. Res. Soc., 2022)

A transformer-based model for default prediction in mid-cap corporate markets. - Kamesh Korangi; Christophe Mues; Cristián Bravo (Eur. J. Oper. Res., 2023)

Modelling credit card exposure at default using vine copula quantile regression. - Suttisak Wattanawongwan; Christophe Mues; Ramin Okhrati; Taufiq Choudhry; Mee Chi So (Eur. J. Oper. Res., 2023)

A Distributionally Robust Optimisation Approach to Fair Credit Scoring. - Pablo Casas; Christophe Mues; Huan Yu (CoRR, 2024)

Large-scale Time-Varying Portfolio Optimisation using Graph Attention Networks. - Kamesh Korangi; Christophe Mues; Cristián Bravo (CoRR, 2024)

Attention-based dynamic multilayer graph neural networks for loan default prediction. - Sahab Zandi; Kamesh Korangi; María Óskarsdóttir; Christophe Mues; Cristián Bravo (Eur. J. Oper. Res., 2025)