Christophe Mues

According to our database, Christophe Mues authored at least 54 papers between 1995 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

A Distributionally Robust Optimisation Approach to Fair Credit Scoring.

Pablo Casas, Christophe Mues, Huan Yu

CoRR, 2024

Attention-based Dynamic Multilayer Graph Neural Networks for Loan Default Prediction.

Sahab Zandi, Kamesh Korangi, María Óskarsdóttir, Christophe Mues, Cristián Bravo

CoRR, 2024

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., November, 2023

A transformer-based model for default prediction in mid-cap corporate markets.

Kamesh Korangi, Christophe Mues, Cristián Bravo

Eur. J. Oper. Res., July, 2023

2022

Editorial.

Jonathan Crook, Tony Bellotti, Christophe Mues, Galina Andreeva

J. Oper. Res. Soc., 2022

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

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

Deep residential representations: Using unsupervised learning to unlock elevation data for geo-demographic prediction.

Matthew Stevenson, Christophe Mues, Cristián Bravo

CoRR, 2021

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

Special issue on credit risk modelling.

Jonathan Crook, Christophe Mues, Tony Bellotti, Galina Andreeva

J. Oper. Res. Soc., 2019

2017

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

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

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

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

Editorial.

Jonathan Crook, Tony Bellotti, Christophe Mues

Eur. J. Oper. Res., 2016

2015

Learning algorithm selection for comprehensible regression analysis using datasetoids.

Gert Loterman, Christophe Mues

Intell. Data Anal., 2015

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

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

2012

An experimental comparison of classification algorithms for imbalanced credit scoring data sets.

Iain Brown, Christophe Mues

Expert Syst. Appl., 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

Selecting Accurate and Comprehensible Regression Algorithms through Meta Learning.

Gert Loterman, Christophe Mues

Proceedings of the 12th IEEE International Conference on Data Mining Workshops, 2012

2011

Rule Extraction from Minimal Neural Networks for Credit Card Screening.

Rudy Setiono, Bart Baesens, Christophe Mues

Int. J. Neural Syst., 2011

Building comprehensible customer churn prediction models with advanced rule induction techniques.

Wouter Verbeke, David Martens, 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

Monitoring and backtesting churn models.

Elen Lima, Christophe Mues, Bart Baesens

Expert Syst. Appl., 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

2010

Modelling LGD for unsecured personal loans: decision tree approach.

Ania Matuszyk, Christophe Mues, Lyn C. Thomas

J. Oper. Res. Soc., 2010

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

50 years of data mining and OR: upcoming trends and challenges.

Bart Baesens, Christophe Mues, David Martens, Jan Vanthienen

J. Oper. Res. Soc., 2009

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

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

Recursive Neural Network Rule Extraction for Data With Mixed Attributes.

Rudy Setiono, Bart Baesens, Christophe Mues

IEEE Trans. Neural Networks, 2008

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

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

Specifying Process-Aware Access Control Rules in SBVR.

Stijn Goedertier, Christophe Mues, Jan Vanthienen

Proceedings of the Advances in Rule Interchange and Applications, International Symposium, 2007

2006

Special issue on intelligent information systems for financial engineering.

Bart Baesens, Christophe Mues, Tony Van Gestel, Jan Vanthienen

Expert Syst. Appl., 2006

Risk Management and Regulatory Compliance: A Data Mining Framework Based on Neural Network Rule Extraction.

Rudy Setiono, Christophe Mues, Bart Baesens

Proceedings of the International Conference on Information Systems, 2006

Experiences with Modeling and Verification of Regulations.

Jan Vanthienen, Christophe Mues, Stijn Goedertier

Proceedings of the CAISE*06 Workshop on Regulations Modelling and their Validation and Verification ReMo2V '06, 2006

Ant-Based Approach to the Knowledge Fusion Problem.

David Martens, Manu De Backer, Raf Haesen, Bart Baesens, Christophe Mues, Jan Vanthienen

Proceedings of the Ant Colony Optimization and Swarm Intelligence, 2006

2005

From Knowledge Discovery to Implementation: Developing Business Intelligence Systems using Decision Tables.

Christophe Mues, Bart Baesens, Jan Vanthienen

Proceedings of the WM 2005: Professional Knowledge Management - Experiences and Visions, Contributions to the 3rd Conference Professional Knowledge Management, 2005

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

Proceedings of the Professional Knowledge Management, Third Biennial Conference, 2005

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

Improving the Scalability of Rule Base Verification Using Binary Decision Diagrams: An Empirical Study.

Christophe Mues, Jan Vanthienen

Proceedings of the KI 2004: Advances in Artificial Intelligence, 2004

Comprehensible Credit-Scoring Knowledge Visualization Using Decision Tables and Diagrams.

Christophe Mues, Johan Huysmans, Jan Vanthienen, Bart Baesens

Proceedings of the ICEIS 2004, 2004

Web Usage Mining with Time Constrained Association Rules.

Johan Huysmans, Christophe Mues, Jan Vanthienen, Bart Baesens

Proceedings of the ICEIS 2004, 2004

Efficient Rule Base Verification Using Binary Decision Diagrams.

Christophe Mues, Jan Vanthienen

Proceedings of the Database and Expert Systems Applications, 15th International Conference, 2004

2003

Using Neural Network Rule Extraction and Decision Tables for Credit - Risk Evaluation.

Bart Baesens, Rudy Setiono, Christophe Mues, Jan Vanthienen

Manag. Sci., 2003

Building Intelligent Credit Scoring Systems Using Decision Tables.

Bart Baesens, Christophe Mues, Manu De Backer, Jan Vanthienen, Rudy Setiono

Proceedings of the ICEIS 2003, 2003

2001

Building Credit-Risk Evaluation Expert Systems Using Neural Network Rule Extraction and Decision Tables.

Bart Baesens, Rudy Setiono, Christophe Mues, Stijn Viaene, Jan Vanthienen

Proceedings of the International Conference on Information Systems, 2001

2000

Improving a neuro-fuzzy classifier using exploratory factor analysis.

Jurgen Martens, Geert Wets, Jan Vanthienen, Christophe Mues

Int. J. Intell. Syst., 2000

1998

An Illustration of Verification and Validation in the Modelling Phase of KBS Development.

Jan Vanthienen, Christophe Mues, Ann Aerts

Data Knowl. Eng., 1998

Extracting complete and consistent knowledge patterns from data.

Geert Wets, Jan Vanthienen, Christophe Mues, Harry J. P. Timmermans

Proceedings of the 1998 European Workshop on Validation and Verification of Knowledge-Based Systems, 1998

1997

Inter-Tabular Verification in an Interactive Environment.

Jan Vanthienen, Christophe Mues, Geert Wets

Proceedings of the Fourth European Symposium on the Validation and Verification of Knowledge-Based Systems, 1997

1995

A Modeling Approach to KBS Verification.

Jan Vanthienen, Ann Aerts, Christophe Mues, Geert Wets

Proceedings of the European Symposium on the Validation and Verification of Knowledge-Based Systems, 1995