Christophe Mues

Christophe Mues

University of Southampton

H-index: 29

Europe-United Kingdom

About Christophe Mues

Christophe Mues, With an exceptional h-index of 29 and a recent h-index of 20 (since 2020), a distinguished researcher at University of Southampton, specializes in the field of Credit Scoring, Predictive Analytics, Credit Risk, Loss Given Default.

His recent articles reflect a diverse array of research interests and contributions to the field:

A Distributionally Robust Optimisation Approach to Fair Credit Scoring

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

Modelling credit card exposure at default using vine copula quantile regression

Credit Risk and Artificial Intelligence: On the Need for Convergent Regulation

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

A mixture model for credit card exposure at default using the GAMLSS framework

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

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

Christophe Mues Information

University

Position

Professor of Data Science and Information Systems

Citations(all)

6434

Citations(since 2020)

2857

Cited By

4752

hIndex(all)

29

hIndex(since 2020)

20

i10Index(all)

44

i10Index(since 2020)

30

Email

University Profile Page

University of Southampton

Google Scholar

View Google Scholar Profile

Christophe Mues Skills & Research Interests

Credit Scoring

Predictive Analytics

Credit Risk

Loss Given Default

Top articles of Christophe Mues

Title

Journal

Author(s)

Publication Date

A Distributionally Robust Optimisation Approach to Fair Credit Scoring

arXiv preprint arXiv:2402.01811

Pablo Casas

Christophe Mues

Huan Yu

2024/2/2

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

arXiv preprint arXiv:2402.00299

Sahab Zandi

Kamesh Korangi

María Óskarsdóttir

Christophe Mues

Cristián Bravo

2024/2/1

Modelling credit card exposure at default using vine copula quantile regression

European Journal of Operational Research

Suttisak Wattanawongwan

Christophe Mues

Ramin Okhrati

Taufiq Choudhry

Mee Chi So

2023/11/16

Credit Risk and Artificial Intelligence: On the Need for Convergent Regulation

Available at SSRN 4615412

Cristián Bravo

Raffaella Calabrese

Stefan Lessmann

Christophe Mues

María Óskarsdóttir

2023/10/27

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

European Journal of Operational Research

Kamesh Korangi

Christophe Mues

Cristián Bravo

2023/7/1

A mixture model for credit card exposure at default using the GAMLSS framework

International Journal of Forecasting

Suttisak Wattanawongwan

Christophe Mues

Ramin Okhrati

Taufiq Choudhry

Mee Chi So

2023/1/1

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

ISPRS Journal of Photogrammetry and Remote Sensing

Matthew Stevenson

Christophe Mues

Cristián Bravo

2022/5/1

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

European Journal of Operational Research

Matthew Stevenson

Christophe Mues

Cristián Bravo

2021/12/1

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

European Journal of Operational Research

Trevor Fitzpatrick

Christophe Mues

2021/10/16

See List of Professors in Christophe Mues University(University of Southampton)

Co-Authors

H-index: 76
Bart Baesens

Bart Baesens

Katholieke Universiteit Leuven

H-index: 56
Jan Vanthienen

Jan Vanthienen

Katholieke Universiteit Leuven

H-index: 44
Rudy Setiono

Rudy Setiono

National University of Singapore

H-index: 43
David Martens

David Martens

Universiteit Antwerpen

H-index: 38
Stefan Lessmann

Stefan Lessmann

Humboldt-Universität zu Berlin

H-index: 29
Wouter Verbeke

Wouter Verbeke

Katholieke Universiteit Leuven

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