Christophe Mues

Publication Activity (10 Years)

Years Active: 1995-2024
Publications (10 Years): 18

Top Topics

Machine Learning Approaches

Quantile Regression

Top Venues

Eur. J. Oper. Res.

J. Oper. Res. Soc.

Decis. Support Syst.

Publications

Sahab Zandi, Kamesh Korangi, María Óskarsdóttir, Christophe Mues, Cristián Bravo
Attention-based Dynamic Multilayer Graph Neural Networks for Loan Default Prediction. CoRR (2024)
Pablo Casas, Christophe Mues, Huan Yu
A Distributionally Robust Optimisation Approach to Fair Credit Scoring. CoRR (2024)
Kamesh Korangi, Christophe Mues, Cristián Bravo
Large-scale Time-Varying Portfolio Optimisation using Graph Attention Networks. CoRR (2024)
Suttisak Wattanawongwan, Christophe Mues, Ramin Okhrati, Taufiq Choudhry, Mee Chi So
Modelling credit card exposure at default using vine copula quantile regression. Eur. J. Oper. Res. 311 (1) (2023)
Kamesh Korangi, Christophe Mues, Cristián Bravo
A transformer-based model for default prediction in mid-cap corporate markets. Eur. J. Oper. Res. 308 (1) (2023)
Jonathan Crook, Tony Bellotti, Christophe Mues, Galina Andreeva
Editorial. J. Oper. Res. Soc. 73 (1) (2022)
Matthew Stevenson, Christophe Mues, Cristián Bravo
Deep residential representations: Using unsupervised learning to unlock elevation data for geo-demographic prediction. CoRR (2021)
Trevor Fitzpatrick, Christophe Mues
How can lenders prosper? Comparing machine learning approaches to identify profitable peer-to-peer loan investments. Eur. J. Oper. Res. 294 (2) (2021)
Kamesh Korangi, Christophe Mues, Cristián Bravo
A transformer-based model for default prediction in mid-cap corporate markets. CoRR (2021)
Matthew Stevenson, Christophe Mues, Cristián Bravo
The value of text for small business default prediction: A Deep Learning approach. Eur. J. Oper. Res. 295 (2) (2021)
Matthew Stevenson, Christophe Mues, Cristián Bravo
The value of text for small business default prediction: A deep learning approach. CoRR (2020)
Jonathan Crook, Christophe Mues, Tony Bellotti, Galina Andreeva
Special issue on credit risk modelling. J. Oper. Res. Soc. 70 (5) (2019)
Mee Chi So, Christophe Mues, Adiel Teixeira de Almeida Filho, Lyn C. Thomas
Debtor level collection operations using Bayesian dynamic programming. J. Oper. Res. Soc. 70 (8) (2019)
Sally C. Brailsford, Thomas W. Archibald, Christophe Mues, Mee Chi So, Adiel Teixeira de Almeida Filho
Lyn Thomas 1946-2016. Eur. J. Oper. Res. 257 (2) (2017)
Edward N. C. Tong, Christophe Mues, Iain Brown, Lyn C. Thomas
Exposure at default models with and without the credit conversion factor. Eur. J. Oper. Res. 252 (3) (2016)
Trevor Fitzpatrick, Christophe Mues
An empirical comparison of classification algorithms for mortgage default prediction: evidence from a distressed mortgage market. Eur. J. Oper. Res. 249 (2) (2016)
Lyn C. Thomas, Anna Matuszyk, Mee Chi So, Christophe Mues, Angela Moore
Modelling repayment patterns in the collections process for unsecured consumer debt: A case study. Eur. J. Oper. Res. 249 (2) (2016)
Jonathan Crook, Tony Bellotti, Christophe Mues
Editorial. Eur. J. Oper. Res. 249 (2) (2016)
Gert Loterman, Christophe Mues
Learning algorithm selection for comprehensible regression analysis using datasetoids. Intell. Data Anal. 19 (5) (2015)
Mee Chi So, Lyn C. Thomas, Hsin-Vonn Seow, Christophe Mues
Using a transactor/revolver scorecard to make credit and pricing decisions. Decis. Support Syst. 59 (2014)
Mindy Leow, Christophe Mues, Lyn C. Thomas
The economy and loss given default: evidence from two UK retail lending data sets. J. Oper. Res. Soc. 65 (3) (2014)
Iain Brown, Christophe Mues
An experimental comparison of classification algorithms for imbalanced credit scoring data sets. Expert Syst. Appl. 39 (3) (2012)
Edward N. C. Tong, Christophe Mues, Lyn C. Thomas
Mixture cure models in credit scoring: If and when borrowers default. Eur. J. Oper. Res. 218 (1) (2012)
Gert Loterman, Christophe Mues
Selecting Accurate and Comprehensible Regression Algorithms through Meta Learning. ICDM Workshops (2012)
Rudy Setiono, Bart Baesens, Christophe Mues
Rule Extraction from Minimal Neural Networks for Credit Card Screening. Int. J. Neural Syst. 21 (4) (2011)
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) (2011)
Wouter Verbeke, David Martens, Christophe Mues, Bart Baesens
Building comprehensible customer churn prediction models with advanced rule induction techniques. Expert Syst. Appl. 38 (3) (2011)
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. Decis. Support Syst. 51 (1) (2011)
Elen Lima, Christophe Mues, Bart Baesens
Monitoring and backtesting churn models. Expert Syst. Appl. 38 (1) (2011)
Ania Matuszyk, Christophe Mues, Lyn C. Thomas
Modelling LGD for unsecured personal loans: decision tree approach. J. Oper. Res. Soc. 61 (3) (2010)
Elen Lima, Christophe Mues, Bart Baesens
Domain knowledge integration in data mining using decision tables: case studies in churn prediction. J. Oper. Res. Soc. 60 (8) (2009)
Bart Baesens, Christophe Mues, David Martens, Jan Vanthienen
50 years of data mining and OR: upcoming trends and challenges. J. Oper. Res. Soc. 60 (S1) (2009)
Rudy Setiono, Bart Baesens, Christophe Mues
A note on knowledge discovery using neural networks and its application to credit card screening. Eur. J. Oper. Res. 192 (1) (2009)
Rudy Setiono, Bart Baesens, Christophe Mues
Recursive Neural Network Rule Extraction for Data With Mixed Attributes. IEEE Trans. Neural Networks 19 (2) (2008)
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) (2008)
Olivier Vandecruys, David Martens, Bart Baesens, Christophe Mues, Manu De Backer, Raf Haesen
Mining software repositories for comprehensible software fault prediction models. J. Syst. Softw. 81 (5) (2008)
Stijn Goedertier, Christophe Mues, Jan Vanthienen
Specifying Process-Aware Access Control Rules in SBVR. RuleML (2007)
Frank Hoffmann, Bart Baesens, Christophe Mues, Tony Van Gestel, Jan Vanthienen
Inferring descriptive and approximate fuzzy rules for credit scoring using evolutionary algorithms. Eur. J. Oper. Res. 177 (1) (2007)
Jan Vanthienen, Christophe Mues, Stijn Goedertier
Experiences with Modeling and Verification of Regulations. ReMo2V (2006)
Bart Baesens, Christophe Mues, Tony Van Gestel, Jan Vanthienen
Special issue on intelligent information systems for financial engineering. Expert Syst. Appl. 30 (3) (2006)
Rudy Setiono, Christophe Mues, Bart Baesens
Risk Management and Regulatory Compliance: A Data Mining Framework Based on Neural Network Rule Extraction. ICIS (2006)
David Martens, Manu De Backer, Raf Haesen, Bart Baesens, Christophe Mues, Jan Vanthienen
Ant-Based Approach to the Knowledge Fusion Problem. ANTS Workshop (2006)
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)
Christophe Mues, Bart Baesens, Jan Vanthienen
From Knowledge Discovery to Implementation: Developing Business Intelligence Systems using Decision Tables. Wissensmanagement (2005)
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) (2004)
Christophe Mues, Jan Vanthienen
Improving the Scalability of Rule Base Verification Using Binary Decision Diagrams: An Empirical Study. KI (2004)
Johan Huysmans, Christophe Mues, Jan Vanthienen, Bart Baesens
Web Usage Mining with Time Constrained Association Rules. ICEIS (2) (2004)
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)
Christophe Mues, Jan Vanthienen
Efficient Rule Base Verification Using Binary Decision Diagrams. DEXA (2004)
Christophe Mues, Johan Huysmans, Jan Vanthienen, Bart Baesens
Comprehensible Credit-Scoring Knowledge Visualization Using Decision Tables and Diagrams. ICEIS (Selected Papers) (2004)
Christophe Mues, Johan Huysmans, Jan Vanthienen, Bart Baesens
Comprehensible Credit-Scoring Knowledge Visualization Using Decision Tables and Diagrams. ICEIS (2) (2004)
Bart Baesens, Rudy Setiono, Christophe Mues, Jan Vanthienen
Using Neural Network Rule Extraction and Decision Tables for Credit - Risk Evaluation. Manag. Sci. 49 (3) (2003)
Bart Baesens, Christophe Mues, Manu De Backer, Jan Vanthienen, Rudy Setiono
Building Intelligent Credit Scoring Systems Using Decision Tables. ICEIS (2) (2003)
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)
Jurgen Martens, Geert Wets, Jan Vanthienen, Christophe Mues
Improving a neuro-fuzzy classifier using exploratory factor analysis. Int. J. Intell. Syst. 15 (8) (2000)
Jan Vanthienen, Christophe Mues, Ann Aerts
An Illustration of Verification and Validation in the Modelling Phase of KBS Development. Data Knowl. Eng. 27 (3) (1998)
Geert Wets, Jan Vanthienen, Christophe Mues, Harry J. P. Timmermans
Extracting complete and consistent knowledge patterns from data. EUROVAV (1998)
Jan Vanthienen, Christophe Mues, Geert Wets
Inter-Tabular Verification in an Interactive Environment. EUROVAV (1997)
Jan Vanthienen, Ann Aerts, Christophe Mues, Geert Wets
A Modeling Approach to KBS Verification. EUROVAV (1995)