Christophe Mues

61 papers C 4Misc 1Journal 43Unranked 13

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	A Multimodal Approach to SME Credit Scoring Integrating Transaction and Ownership Networks. CoRR Sahab Zandi, Kamesh Korangi, Juan Carlos Paredes-Rojas, María Óskarsdóttir, Christophe Mues, Cristián Bravo
2025	J	`jnl`	Attention-based dynamic multilayer graph neural networks for loan default prediction. Eur. J. Oper. Res. Sahab Zandi, Kamesh Korangi, María Óskarsdóttir, Christophe Mues, Cristián Bravo
2024	J	`jnl`	A Distributionally Robust Optimisation Approach to Fair Credit Scoring. CoRR Pablo Casas, Christophe Mues, Huan Yu
2024	J	`jnl`	Attention-based Dynamic Multilayer Graph Neural Networks for Loan Default Prediction. CoRR Sahab Zandi, Kamesh Korangi, María Óskarsdóttir, Christophe Mues, Cristián Bravo
2024	J	`jnl`	Large-scale Time-Varying Portfolio Optimisation using Graph Attention Networks. CoRR Kamesh Korangi, Christophe Mues, Cristián Bravo
2023	J	`jnl`	A transformer-based model for default prediction in mid-cap corporate markets. Eur. J. Oper. Res. Kamesh Korangi, Christophe Mues, Cristián Bravo
2023	J	`jnl`	Modelling credit card exposure at default using vine copula quantile regression. Eur. J. Oper. Res. Suttisak Wattanawongwan, Christophe Mues, Ramin Okhrati, Taufiq Choudhry, Mee Chi So
2022	J	`jnl`	Editorial. J. Oper. Res. Soc. Jonathan Crook, Tony Bellotti, Christophe Mues, Galina Andreeva
2021	J	`jnl`	A transformer-based model for default prediction in mid-cap corporate markets. CoRR Kamesh Korangi, Christophe Mues, Cristián Bravo
2021	J	`jnl`	Deep residential representations: Using unsupervised learning to unlock elevation data for geo-demographic prediction. CoRR Matthew Stevenson, Christophe Mues, Cristián Bravo
2021	J	`jnl`	How can lenders prosper? Comparing machine learning approaches to identify profitable peer-to-peer loan investments. Eur. J. Oper. Res. Trevor Fitzpatrick, Christophe Mues
2021	J	`jnl`	The value of text for small business default prediction: A Deep Learning approach. Eur. J. Oper. Res. Matthew Stevenson, Christophe Mues, Cristián Bravo
2020	J	`jnl`	The value of text for small business default prediction: A deep learning approach. CoRR Matthew Stevenson, Christophe Mues, Cristián Bravo
2019	J	`jnl`	Debtor level collection operations using Bayesian dynamic programming. J. Oper. Res. Soc. Mee Chi So, Christophe Mues, Adiel Teixeira de Almeida Filho, Lyn C. Thomas
2019	J	`jnl`	Special issue on credit risk modelling. J. Oper. Res. Soc. Jonathan Crook, Christophe Mues, Tony Bellotti, Galina Andreeva
2017	J	`jnl`	Lyn Thomas 1946-2016. Eur. J. Oper. Res. Sally C. Brailsford, Thomas W. Archibald, Christophe Mues, Mee Chi So, Adiel Teixeira de Almeida Filho
2016	J	`jnl`	An empirical comparison of classification algorithms for mortgage default prediction: evidence from a distressed mortgage market. Eur. J. Oper. Res. Trevor Fitzpatrick, Christophe Mues
2016	J	`jnl`	Editorial. Eur. J. Oper. Res. Jonathan Crook, Tony Bellotti, Christophe Mues
2016	J	`jnl`	Exposure at default models with and without the credit conversion factor. Eur. J. Oper. Res. Edward N. C. Tong, Christophe Mues, Iain Brown, Lyn C. Thomas
2016	J	`jnl`	Modelling repayment patterns in the collections process for unsecured consumer debt: A case study. Eur. J. Oper. Res. Lyn C. Thomas, Anna Matuszyk, Mee Chi So, Christophe Mues, Angela Moore
2015	J	`jnl`	Learning algorithm selection for comprehensible regression analysis using datasetoids. Intell. Data Anal. Gert Loterman, Christophe Mues
2014	J	`jnl`	The economy and loss given default: evidence from two UK retail lending data sets. J. Oper. Res. Soc. Mindy Leow, Christophe Mues, Lyn C. Thomas
2014	J	`jnl`	Using a transactor/revolver scorecard to make credit and pricing decisions. Decis. Support Syst. Mee Chi So, Lyn C. Thomas, Hsin-Vonn Seow, Christophe Mues
2012	J	`jnl`	An experimental comparison of classification algorithms for imbalanced credit scoring data sets. Expert Syst. Appl. Iain Brown, Christophe Mues
2012	J	`jnl`	Mixture cure models in credit scoring: If and when borrowers default. Eur. J. Oper. Res. Edward N. C. Tong, Christophe Mues, Lyn C. Thomas
2012	—	`conf`	Selecting Accurate and Comprehensible Regression Algorithms through Meta Learning. ICDM Workshops Gert Loterman, Christophe Mues
2011	J	`jnl`	An empirical evaluation of the comprehensibility of decision table, tree and rule based predictive models. Decis. Support Syst. Johan Huysmans, Karel Dejaeger, Christophe Mues, Jan Vanthienen, Bart Baesens
2011	J	`jnl`	Building comprehensible customer churn prediction models with advanced rule induction techniques. Expert Syst. Appl. Wouter Verbeke, David Martens, Christophe Mues, Bart Baesens
2011	J	`jnl`	Identifying financially successful start-up profiles with data mining. Expert Syst. Appl. David Martens, Christine Vanhoutte, Sophie De Winne, Bart Baesens, Luc Sels, Christophe Mues
2011	J	`jnl`	Monitoring and backtesting churn models. Expert Syst. Appl. Elen Lima, Christophe Mues, Bart Baesens
2011	J	`jnl`	Rule Extraction from Minimal Neural Networks for Credit Card Screening. Int. J. Neural Syst. Rudy Setiono, Bart Baesens, Christophe Mues
2010	J	`jnl`	Modelling LGD for unsecured personal loans: decision tree approach. J. Oper. Res. Soc. Ania Matuszyk, Christophe Mues, Lyn C. Thomas
2009	J	`jnl`	50 years of data mining and OR: upcoming trends and challenges. J. Oper. Res. Soc. Bart Baesens, Christophe Mues, David Martens, Jan Vanthienen
2009	J	`jnl`	A note on knowledge discovery using neural networks and its application to credit card screening. Eur. J. Oper. Res. Rudy Setiono, Bart Baesens, Christophe Mues
2009	J	`jnl`	Domain knowledge integration in data mining using decision tables: case studies in churn prediction. J. Oper. Res. Soc. Elen Lima, Christophe Mues, Bart Baesens
2008	J	`jnl`	Benchmarking Classification Models for Software Defect Prediction: A Proposed Framework and Novel Findings. IEEE Trans. Software Eng. Stefan Lessmann, Bart Baesens, Christophe Mues, Swantje Pietsch
2008	J	`jnl`	Mining software repositories for comprehensible software fault prediction models. J. Syst. Softw. Olivier Vandecruys, David Martens, Bart Baesens, Christophe Mues, Manu De Backer, Raf Haesen
2008	J	`jnl`	Recursive Neural Network Rule Extraction for Data With Mixed Attributes. IEEE Trans. Neural Networks Rudy Setiono, Bart Baesens, Christophe Mues
2007	J	`jnl`	Inferring descriptive and approximate fuzzy rules for credit scoring using evolutionary algorithms. Eur. J. Oper. Res. Frank Hoffmann, Bart Baesens, Christophe Mues, Tony Van Gestel, Jan Vanthienen
2007	—	`conf`	Specifying Process-Aware Access Control Rules in SBVR. RuleML Stijn Goedertier, Christophe Mues, Jan Vanthienen
2006	—	`conf`	Ant-Based Approach to the Knowledge Fusion Problem. ANTS Workshop David Martens, Manu De Backer, Raf Haesen, Bart Baesens, Christophe Mues, Jan Vanthienen
2006	—	`conf`	Experiences with Modeling and Verification of Regulations. ReMo2V Jan Vanthienen, Christophe Mues, Stijn Goedertier
2006	C	`conf`	Risk Management and Regulatory Compliance: A Data Mining Framework Based on Neural Network Rule Extraction. ICIS Rudy Setiono, Christophe Mues, Bart Baesens
2006	J	`jnl`	Special issue on intelligent information systems for financial engineering. Expert Syst. Appl. Bart Baesens, Christophe Mues, Tony Van Gestel, Jan Vanthienen
2005	—	`conf`	From Knowledge Discovery to Implementation: A Business Intelligence Approach Using Neural Network Rule Extraction and Decision Tables. Wissensmanagement (LNCS Volume) Christophe Mues, Bart Baesens, Rudy Setiono, Jan Vanthienen
2005	—	`conf`	From Knowledge Discovery to Implementation: Developing Business Intelligence Systems using Decision Tables. Wissensmanagement Christophe Mues, Bart Baesens, Jan Vanthienen
2004	—	`conf`	Comprehensible Credit-Scoring Knowledge Visualization Using Decision Tables and Diagrams. ICEIS (2) Christophe Mues, Johan Huysmans, Jan Vanthienen, Bart Baesens
2004	—	`conf`	Comprehensible Credit-Scoring Knowledge Visualization Using Decision Tables and Diagrams. ICEIS (Selected Papers) Christophe Mues, Johan Huysmans, Jan Vanthienen, Bart Baesens
2004	C	`conf`	Decision Diagrams in Machine Learning: An Empirical Study on Real-Life Credit-Risk Data. Diagrams Christophe Mues, Bart Baesens, Craig M. Files, Jan Vanthienen
2004	J	`jnl`	Decision diagrams in machine learning: an empirical study on real-life credit-risk data. Expert Syst. Appl. Christophe Mues, Bart Baesens, Craig M. Files, Jan Vanthienen
2004	C	`conf`	Efficient Rule Base Verification Using Binary Decision Diagrams. DEXA Christophe Mues, Jan Vanthienen
2004	Misc	`conf`	Improving the Scalability of Rule Base Verification Using Binary Decision Diagrams: An Empirical Study. KI Christophe Mues, Jan Vanthienen
2004	—	`conf`	Web Usage Mining with Time Constrained Association Rules. ICEIS (2) Johan Huysmans, Christophe Mues, Jan Vanthienen, Bart Baesens
2003	—	`conf`	Building Intelligent Credit Scoring Systems Using Decision Tables. ICEIS (2) Bart Baesens, Christophe Mues, Manu De Backer, Jan Vanthienen, Rudy Setiono
2003	J	`jnl`	Using Neural Network Rule Extraction and Decision Tables for Credit - Risk Evaluation. Manag. Sci. Bart Baesens, Rudy Setiono, Christophe Mues, Jan Vanthienen
2001	C	`conf`	Building Credit-Risk Evaluation Expert Systems Using Neural Network Rule Extraction and Decision Tables. ICIS Bart Baesens, Rudy Setiono, Christophe Mues, Stijn Viaene, Jan Vanthienen
2000	J	`jnl`	Improving a neuro-fuzzy classifier using exploratory factor analysis. Int. J. Intell. Syst. Jurgen Martens, Geert Wets, Jan Vanthienen, Christophe Mues
1998	J	`jnl`	An Illustration of Verification and Validation in the Modelling Phase of KBS Development. Data Knowl. Eng. Jan Vanthienen, Christophe Mues, Ann Aerts
1998	—	`conf`	Extracting complete and consistent knowledge patterns from data. EUROVAV Geert Wets, Jan Vanthienen, Christophe Mues, Harry J. P. Timmermans
1997	—	`conf`	Inter-Tabular Verification in an Interactive Environment. EUROVAV Jan Vanthienen, Christophe Mues, Geert Wets
1995	—	`conf`	A Modeling Approach to KBS Verification. EUROVAV Jan Vanthienen, Ann Aerts, Christophe Mues, Geert Wets