C. Mues

发表

Optimizing the Collections Process in Consumer Credit

Adiel Almeida Filho, L. Thomas, C. Mues, 2010 .

Benchmarking regression algorithms for loss given default modeling

B. Baesens, David Martens, Iain Brown, 2012 .

Predicting loss given default (LGD) for residential mortgage loans: A two-stage model and empirical evidence for UK bank data

C. Mues, Mindy Leow, 2012 .

A proposed framework for backtesting loss given default models

M. Debruyne, K. V. Branden, T. V. Gestel, 2014 .

Building Intelligent Credit Scoring Systems Using Decision Tables

Bart Baesens, Jan Vanthienen, Rudy Setiono, 2003, ICEIS.

Inter-Tabular Verification in an Interactive Environment

Geert Wets, Jan Vanthienen, Christophe Mues, 1997, EUROVAV.

A Modeling Approach to KBS Verification

Geert Wets, Jan Vanthienen, Christophe Mues, 1995, EUROVAV.

High rates of prasugrel and ticagrelor non-responder in patients treated with therapeutic hypothermia after cardiac arrest.

C. Mues, R. Strasser, M. Christoph, 2014, Resuscitation.

Aortic dissection albeit negative d-dimers and zero clinical probability - Another facet of medicine's deadly chameleon.

C. Mues, R. Strasser, T. Ruf, 2017, Journal of cardiology cases.

Modelling LGD for unsecured personal loans: decision tree approach

Christophe Mues, Lyn C. Thomas, Ania Matuszyk, 2010, J. Oper. Res. Soc..

Modelling the collections policy

L. Thomas, C. Mues, M. So, 2013 .

A modelling approach to knowledge based systems verification

Geert Wets, Jan Vanthienen, Christophe Mues, 1995 .

Loss given default process modelling

Christophe Mues, Lyn C. Thomas, Anna Matuszyk, 2007 .

German Multicenter Experience With a New Leaflet-Based Transcatheter Mitral Valve Repair System for Mitral Regurgitation.

H. Thiele, J. Hausleiter, C. Besler, 2020, JACC. Cardiovascular interventions.

Short term outcome after left atrial appendage occlusion with the AMPLATZER Amulet and WATCHMAN device: results from the ORIGINAL registry (saxOnian RegIstry analyzinG and followINg left atrial Appendage cLosure)

C. Mues, T. Ketteler, R. Strasser, 2022, BMC Cardiovascular Disorders.

TAVR--A new way to treat ventricular storm and ventricular fibrillation.

C. Mues, R. Strasser, K. Ibrahim, 2016, International journal of cardiology.

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

Cristián Bravo, C. Mues, Kamesh Korangi, 2021, ArXiv.

Knowledge Discovery and Implementation using Neural Network Rule Extraction and Decision Tables

Bart Baesens, David Martens, Christophe Mues, 2006 .

Building intelligent credit-risk evaluation expert systems using neural network rule extraction and decision tables

Bart Baesens, Jan Vanthienen, Stijn Viaene, 2001 .

Benchmarking state-of-the-art regression algorithms for loss given default modelling

Bart Baesens, David Martens, Christophe Mues, 2009 .

Neural network rule extraction and decision tables for software fault prediction

Bart Baesens, Rudy Setiono, Christophe Mues, 2007 .

An empirical comparison of classification algorithms for mortgage default prediction: evidence from a distressed mortgage market

Christophe Mues, Trevor Fitzpatrick, C. Mues, 2016, Eur. J. Oper. Res..

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

Christophe Mues, Iain Brown, Iain Brown, 2012, Expert Syst. Appl..

An empirical evaluation of the comprehensibility of decision table, tree and rule based predictive models

Bart Baesens, Jan Vanthienen, Christophe Mues, 2011, Decis. Support Syst..

OR Techniques and Tools for Validating Basel II Models

Bart Baesens, David Martens, Christophe Mues, 2006 .

A comparison of techniques to model decision tables from data

Geert Wets, Jan Vanthienen, Christophe Mues, 1999 .

Cardiac and autonomic function in patients with Wilson’s disease

H. Reichmann, A. Linke, C. Mues, 2019, Orphanet Journal of Rare Diseases.

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

Christophe Mues, Cristi'an Bravo, Matthew Stevenson, 2021, ISPRS Journal of Photogrammetry and Remote Sensing.

Selecting Accurate and Comprehensible Regression Algorithms through Meta Learning

Christophe Mues, Gert Loterman, C. Mues, 2012, 2012 IEEE 12th International Conference on Data Mining Workshops.

Mixture cure models in credit scoring: If and when borrowers default

Christophe Mues, Lyn C. Thomas, Edward N. C. Tong, 2012, Eur. J. Oper. Res..

Modelling repayment patterns in the collections process for unsecured consumer debt: A case study

Christophe Mues, Lyn C. Thomas, M. C. So, 2016, Eur. J. Oper. Res..

Improving a neuro‐fuzzy classifier using exploratory factor analysis

Geert Wets, Jan Vanthienen, Christophe Mues, 2000 .

An initial comparison of a fuzzy neural classifier and a decision tree based classifier

Geert Wets, Jan Vanthienen, Christophe Mues, 1998 .

Monitoring and backtesting churn models

Bart Baesens, Christophe Mues, Elen Lima, 2011, Expert Syst. Appl..

The value of text for small business default prediction: A deep learning approach pdf

Christophe Mues, Cristi'an Bravo, Matthew Stevenson, 2020, Eur. J. Oper. Res..

Early Outcomes of 2 Mitral Valve Transcatheter Leaflet Approximation Devices: A Propensity Score-Matched Multicenter Comparison.

J. Hausleiter, C. Besler, G. Nickenig, 2022, JACC. Cardiovascular interventions.

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

Bart Baesens, Jan Vanthienen, Rudy Setiono, 2003, Manag. Sci..

Benchmarking Classification Models for Software Defect Prediction: A Proposed Framework and Novel Findings

Bart Baesens, Stefan Lessmann, Christophe Mues, 2008, IEEE Transactions on Software Engineering.

Fishing in the left atrium: A nightmare.

C. Mues, R. Strasser, K. Ibrahim, 2015, International Journal of Cardiology.

Recursive Neural Network Rule Extraction for Data With Mixed Attributes

Bart Baesens, Rudy Setiono, Christophe Mues, 2008, IEEE Transactions on Neural Networks.

Building comprehensible customer churn prediction models with advanced rule induction techniques

Bart Baesens, Wouter Verbeke, David Martens, 2011, Expert Syst. Appl..

Extracting complete and consistent knowledge patterns from data

Geert Wets, Jan Vanthienen, Harry J. P. Timmermans, 1998, EUROVAV.

Web Usage Mining with Time Constrained Association Rules

Bart Baesens, Jan Vanthienen, Christophe Mues, 2004, ICEIS.

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

Jan Vanthienen, Bart Baesens, David Martens, 2009, J. Oper. Res. Soc..

Mining software repositories for comprehensible software fault prediction models

Bart Baesens, David Martens, Christophe Mues, 2008, J. Syst. Softw..

Decision Diagrams in Machine Learning: An Empirical Study on Real-Life Credit-Risk Data

Bart Baesens, Jan Vanthienen, Christophe Mues, 2004, Diagrams.

Exposure at default models with and without the credit conversion factor

Christophe Mues, Lyn C. Thomas, Iain Brown, 2016, Eur. J. Oper. Res..

A zero-adjusted gamma model for mortgage loan loss given default

Christophe Mues, Lyn C. Thomas, L. Thomas, 2013 .

Dynamic Affordability Assessment: Predicting an Applicant's Ability to Repay Over the Life of the Loan

L. Thomas, K. Bijak, C. Mues, 2014 .

Credit Card Market Literature Review : Affordability and Repayment

Christophe Mues, Katarzyna Bijak, K. Bijak, 2015 .

Efficient Rule Base Verification Using Binary Decision Diagrams

Jan Vanthienen, Christophe Mues, J. Vanthienen, 2004, DEXA.

Survived sudden cardiac death in a young marathon runner: cardiac ischemic event attributed to an interarterial course of the right coronary artery.

C. Mues, R. Strasser, K. Ibrahim, 2013, Circulation.

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

Cristián Bravo, C. Mues, Matthew Stevenson, 2021, ISPRS Journal of Photogrammetry and Remote Sensing.

Rule Extraction from Minimal Neural Networks for Credit Card Screening

Bart Baesens, Rudy Setiono, Christophe Mues, 2011, Int. J. Neural Syst..

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

Bart Baesens, Jan Vanthienen, Stijn Viaene, 2001, ICIS.

A note on knowledge discovery using neural networks and its application to credit card screening

Rudy Setiono, Bart Baesens, Christophe Mues, 2009, Eur. J. Oper. Res..

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

Cristián Bravo, C. Mues, Kamesh Korangi, 2021, Eur. J. Oper. Res..

Transshipment and time windows in vehicle routing

Stefan Pickl, Christopher Mues, S. Pickl, 2005, 8th International Symposium on Parallel Architectures,Algorithms and Networks (ISPAN'05).

Domain knowledge integration in data mining using decision tables: case studies in churn prediction

Bart Baesens, Christophe Mues, Elen Lima, 2009, J. Oper. Res. Soc..

Identifying financially successful start-up profiles with data mining

Bart Baesens, Sophie De Winne, David Martens, 2011, Expert Syst. Appl..

How can lenders prosper? Comparing machine learning approaches to identify profitable peer-to-peer loan investments

Christophe Mues, Trevor Fitzpatrick, C. Mues, 2021, Eur. J. Oper. Res..

Prevalence and inheritance of canine elbow dysplasia in German Rottweiler

G. Erhardt, C. Mues, B. Tellhelm, 2000 .

Comprehensible Credit-Scoring Knowledge Visualization Using Decision Tables and Diagrams

Bart Baesens, Jan Vanthienen, Christophe Mues, 2004, ICEIS.

A tool-supported approach to inter-tabular verification

Jan Vanthienen, Christophe Mues, G Wets, 1998 .

Assessing affordability using random effects models of income and consumption growth

L. Thomas, K. Bijak, C. Mues, 2013 .

Experiences with Modeling and Verification of Regulations

Jan Vanthienen, Christophe Mues, Stijn Goedertier, 2006, ReMo2V.

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

Jan Vanthienen, Christophe Mues, J. Vanthienen, 2004, KI.

Ecien t Rule Base Verication Using Binary Decision Diagrams

J. Vanthienen, C. Mues, 2004 .

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

Bart Baesens, Rudy Setiono, Christophe Mues, 2006, ICIS.

Ant-Based Approach to the Knowledge Fusion Problem

Bart Baesens, Jan Vanthienen, David Martens, 2006, ANTS Workshop.