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2020 – today
- 2024
[i6]Sahab Zandi, Kamesh Korangi, María Óskarsdóttir, Christophe Mues, Cristián Bravo:
Attention-based Dynamic Multilayer Graph Neural Networks for Loan Default Prediction. CoRR abs/2402.00299 (2024)- [i5]Pablo Casas, Christophe Mues, Huan Yu:
A Distributionally Robust Optimisation Approach to Fair Credit Scoring. CoRR abs/2402.01811 (2024) - [i4]Kamesh Korangi, Christophe Mues, Cristián Bravo:
Large-scale Time-Varying Portfolio Optimisation using Graph Attention Networks. CoRR abs/2407.15532 (2024) - 2023
- [j35]Kamesh Korangi
, Christophe Mues, Cristián Bravo:
A transformer-based model for default prediction in mid-cap corporate markets. Eur. J. Oper. Res. 308(1): 306-320 (2023) - [j34]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): 387-399 (2023) - 2022
- [j33]Jonathan Crook, Tony Bellotti, Christophe Mues, Galina Andreeva:
Editorial. J. Oper. Res. Soc. 73(1): 1-4 (2022) - 2021
- [j32]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): 711-722 (2021) - [j31]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): 758-771 (2021) - [i3]Kamesh Korangi, Christophe Mues, Cristián Bravo:
A transformer-based model for default prediction in mid-cap corporate markets. CoRR abs/2111.09902 (2021) - [i2]Matthew Stevenson, Christophe Mues, Cristián Bravo:
Deep residential representations: Using unsupervised learning to unlock elevation data for geo-demographic prediction. CoRR abs/2112.01421 (2021) - 2020
- [i1]Matthew Stevenson, Christophe Mues, Cristián Bravo:
The value of text for small business default prediction: A deep learning approach. CoRR abs/2003.08964 (2020)
2010 – 2019
- 2019
- [j30]Jonathan Crook, Christophe Mues, Tony Bellotti, Galina Andreeva:
Special issue on credit risk modelling. J. Oper. Res. Soc. 70(5): ii (2019) - [j29]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): 1332-1348 (2019) - 2017
- [j28]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): 353-354 (2017) - 2016
- [j27]Jonathan Crook, Tony Bellotti, Christophe Mues:
Editorial. Eur. J. Oper. Res. 249(2): 395-396 (2016) - [j26]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): 427-439 (2016) - [j25]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): 476-486 (2016) - [j24]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): 910-920 (2016) - 2015
- [j23]Gert Loterman, Christophe Mues:
Learning algorithm selection for comprehensible regression analysis using datasetoids. Intell. Data Anal. 19(5): 1019-1034 (2015) - 2014
- [j22]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: 143-151 (2014) - [j21]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): 363-375 (2014) - 2012
- [j20]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): 132-139 (2012) - [j19]Iain Brown, Christophe Mues:
An experimental comparison of classification algorithms for imbalanced credit scoring data sets. Expert Syst. Appl. 39(3): 3446-3453 (2012) - [c18]Gert Loterman, Christophe Mues:
Selecting Accurate and Comprehensible Regression Algorithms through Meta Learning. ICDM Workshops 2012: 953-960 - 2011
- [j18]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): 141-154 (2011) - [j17]Elen Lima, Christophe Mues, Bart Baesens:
Monitoring and backtesting churn models. Expert Syst. Appl. 38(1): 975-982 (2011) - [j16]Wouter Verbeke, David Martens, Christophe Mues, Bart Baesens:
Building comprehensible customer churn prediction models with advanced rule induction techniques. Expert Syst. Appl. 38(3): 2354-2364 (2011) - [j15]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): 5794-5800 (2011) - [j14]Rudy Setiono, Bart Baesens, Christophe Mues:
Rule Extraction from Minimal Neural Networks for Credit Card Screening. Int. J. Neural Syst. 21(4): 265-276 (2011) - 2010
- [j13]Ania Matuszyk, Christophe Mues, Lyn C. Thomas:
Modelling LGD for unsecured personal loans: decision tree approach. J. Oper. Res. Soc. 61(3): 393-398 (2010)
2000 – 2009
- 2009
- [j12]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): 326-332 (2009) - [j11]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): 1096-1106 (2009) - [j10]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) - 2008
- [j9]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): 823-839 (2008) - [j8]Rudy Setiono, Bart Baesens, Christophe Mues:
Recursive Neural Network Rule Extraction for Data With Mixed Attributes. IEEE Trans. Neural Networks 19(2): 299-307 (2008) - [j7]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): 485-496 (2008) - 2007
- [j6]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): 540-555 (2007) - [c17]Stijn Goedertier, Christophe Mues, Jan Vanthienen:
Specifying Process-Aware Access Control Rules in SBVR. RuleML 2007: 39-52 - 2006
- [j5]Bart Baesens, Christophe Mues, Tony Van Gestel, Jan Vanthienen:
Special issue on intelligent information systems for financial engineering. Expert Syst. Appl. 30(3): 413-414 (2006) - [c16]David Martens, Manu De Backer, Raf Haesen, Bart Baesens, Christophe Mues, Jan Vanthienen:
Ant-Based Approach to the Knowledge Fusion Problem. ANTS Workshop 2006: 84-95 - [c15]Jan Vanthienen, Christophe Mues, Stijn Goedertier:
Experiences with Modeling and Verification of Regulations. ReMo2V 2006 - [c14]Rudy Setiono, Christophe Mues, Bart Baesens:
Risk Management and Regulatory Compliance: A Data Mining Framework Based on Neural Network Rule Extraction. ICIS 2006: 7 - 2005
- [c13]Christophe Mues, Bart Baesens, Jan Vanthienen:
From Knowledge Discovery to Implementation: Developing Business Intelligence Systems using Decision Tables. Wissensmanagement 2005: 439-443 - [c12]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: 483-495 - 2004
- [j4]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): 257-264 (2004) - [c11]Christophe Mues, Jan Vanthienen:
Efficient Rule Base Verification Using Binary Decision Diagrams. DEXA 2004: 445-454 - [c10]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: 395-397 - [c9]Christophe Mues, Johan Huysmans, Jan Vanthienen, Bart Baesens:
Comprehensible Credit-Scoring Knowledge Visualization Using Decision Tables and Diagrams. ICEIS (Selected Papers) 2004: 109-115 - [c8]Christophe Mues, Johan Huysmans, Jan Vanthienen, Bart Baesens:
Comprehensible Credit-Scoring Knowledge Visualization Using Decision Tables and Diagrams. ICEIS (2) 2004: 226-232 - [c7]Johan Huysmans, Christophe Mues, Jan Vanthienen, Bart Baesens:
Web Usage Mining with Time Constrained Association Rules. ICEIS (2) 2004: 343-348 - [c6]Christophe Mues, Jan Vanthienen:
Improving the Scalability of Rule Base Verification Using Binary Decision Diagrams: An Empirical Study. KI 2004: 381-395 - 2003
- [j3]Bart Baesens, Rudy Setiono, Christophe Mues, Jan Vanthienen:
Using Neural Network Rule Extraction and Decision Tables for Credit - Risk Evaluation. Manag. Sci. 49(3): 312-329 (2003) - [c5]Bart Baesens, Christophe Mues, Manu De Backer, Jan Vanthienen, Rudy Setiono:
Building Intelligent Credit Scoring Systems Using Decision Tables. ICEIS (2) 2003: 19-25 - 2001
- [c4]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: 159-168 - 2000
- [j2]Jurgen Martens, Geert Wets, Jan Vanthienen, Christophe Mues:
Improving a neuro-fuzzy classifier using exploratory factor analysis. Int. J. Intell. Syst. 15(8): 785-800 (2000)
1990 – 1999
- 1998
- [j1]Jan Vanthienen, Christophe Mues, Ann Aerts:
An Illustration of Verification and Validation in the Modelling Phase of KBS Development. Data Knowl. Eng. 27(3): 337-352 (1998) - [c3]Geert Wets, Jan Vanthienen, Christophe Mues, Harry J. P. Timmermans:
Extracting complete and consistent knowledge patterns from data. EUROVAV 1998 - 1997
- [c2]Jan Vanthienen, Christophe Mues, Geert Wets:
Inter-Tabular Verification in an Interactive Environment. EUROVAV 1997: 155-165 - 1995
- [c1]Jan Vanthienen, Ann Aerts, Christophe Mues, Geert Wets:
A Modeling Approach to KBS Verification. EUROVAV 1995: 155-171
Coauthor Index
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last updated on 2024-08-25 20:06 CEST by the dblp team
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