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Cristian Bravo Roman

Dr. Bravo is Associate Professor and Canada Research Chair in Banking and Insurance Analytics at Western. His research focuses on the development and application of data science methodologies in the context of credit risk analytics, in areas such as deep learning, text analytics, image processing, and social network analysis.

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Areas of Interest

Credit Scoring and Credit Risk, Fintech, Artificial Intelligence and Data Science, Profit-driven Business Analytics.


Journal papers

Stevenson, M. (*), Mues, C., & Bravo, C. (2022). Deep residential representations: Using unsupervised learning to unlock elevation data for geo-demographic prediction. ISPRS Journal of Photogrammetry and Remote Sensing, 187, 378-392.

Brito, M. P., Stevenson, M. (*), & Bravo, C. (2022). Subjective machines: Probabilistic risk assessment based on deep learning of soft information. Risk Analysis.

Óskarsdóttir, M. and Bravo, C. (2021). Multilayer Network Analysis for Improved Credit Risk Prediction. Omega 105: 102520.

Stevenson, M. (*), Mues, C. & Bravo, C. (2021). The value of text for small business default prediction: A deep learning approach. European Journal of Operational Research 295(2): 758-771.

Roa, L., Correa-Bahnsen, A., Suarez, G., Cortés-Tejada, F., Luque, M. A., & Bravo, C. (2021). Super-App Behavioral Patterns in Credit Risk Models: Financial, Statistical and Regulatory Implications. Expert Systems with Applications 169: 114486.

Lazo, D., Calabrese, R., Bravo, C. (2020) The Impact of Borrower Behaviour, Sectorial Variables and Modelling Techniques on Credit Risk Assessment in the Agribusiness Sector. The Journal of Credit Risk 16 (4): 119-156.

Barrera-Ferro, D., Brailsford, S., Bravo, C. and Smith, H. (2020) Predicting patient no-show behaviour in a developing country: a machine leaning approach. Decision Support Systems 138: 113398.

Stevenson, M. (*) and Bravo, C. (2019) Advanced turbidity prediction for operational water supply planning, Decision Support Systems 119 (5): 72-84.

Óskarsdóttir, M. (*), Bravo, C., Verbeke, W., Sarraute, C., Baesens, B., Vanthienen, J. (2019). The value of big data for credit scoring: Enhancing financial inclusion using mobile phone data and social network analytics. Applied Soft Computing 74: 26 – 39. (2nd most downloaded paper in journal)

Garrido, F. (*), Verbeke, W., and Bravo, C. (corr). (2018). A Robust Profit Measure for Binary Classification Model Evaluation. Expert Systems with Applications 92:  154-160.

Maldonado, S., Bravo, C., López, J., Pérez, J. (2017) Integrated framework for profit-based feature selection and SVM classification in credit scoring Decision Support Systems 104: 113 – 121.

Óskarsdóttir, M. (*), Bravo, C., Verbeke, W., Sarraute, C., Baesens, B., Vanthienen, J. (2017) Social Network Analytics for Churn Prediction in Telco: Model Building, Evaluation and Network Architecture. Expert Systems with Applications 85 (1):  204-220.

Maldonado, S., Pérez, J., Bravo, C. (2017). Cost-based feature selection for Support Vector Machines - An application in credit scoring. European Journal of Operational Research 261:  2.  656–665.

Bravo, C. and Maldonado, S. (2015). Fieller Stability Measure: a novel model-dependent backtesting approach. Journal of the Operational Research Society 66 (11): 1895 - 1905.

Chong, M. (*), Bravo C., and Davison, M. (2015). How Much Effort Should Be Spent to Detect Fraudulent Applications When Engaged in Classifier-Based Lending? Intelligent Data Analysis 19 (S1): S87 – S101.

Van Vlasselaer, V., Bravo, C. (corr), Caelen, O., Eliassi-Rad, T., Akoglu, L., Snoeck, M., and Baesens, B. (2015). APATE: A novel approach for automated credit card transaction fraud detection using network-based extensions. Decision Support Systems 75:  38-48. (Top 5 cited paper in journal since 2015)

Bravo, C., Thomas, L. C., and Weber, R. (2015). Improving credit scoring by differentiating defaulter behaviour. Journal of the Operational Research Society 66(5): 771-778.

Verbraken, T., Bravo, C., Weber, R. and Baesens, B. (2014) Development and application of consumer credit scoring models using profit-based classification measures. European Journal of Operational Research 238(2): 505 – 513.

Bravo, C., Maldonado, S. and Weber, R. (2013). Granting and Managing Loans for Micro-Entrepreneurs: New Developments and Practical Experiences”. European Journal of Operational Research 227(2): 358 – 366.

Brown, D., Famili, F., Paass, G., Smith-Miles, K., Thomas, L. C., Weber, R., Baeza-Yates, R., Bravo, C., L'Huillier, G. and Maldonado, S. (2011). Future Trends in Business Analytics and Optimization”. Intelligent Data Analysis 15: 6. 1001-1017.

Bravo, C., Lobato, J.L., L’Huillier, G. and Weber, R. (2010) Probability Estimation for Multiclass Problems Combining SVM’s and Neural Networks. Neural Networks World 20(4): 475-489.


Verbeke, W., Baesens, B., Bravo C. (2017) Profit Driven Analytics. Wiley. NY, USA. 

Book Chapters

Biron, M. (*) and Bravo, C. (2014). On the Discriminative Power of Credit Scoring Systems Trained on Independent Samples. In: Data Analysis, Machine Learning and Knowledge Discovery. Eds: Myra Spiliopoulou, Lars Schmidt-Thieme, and Ruth Janning.  247-254.

Bravo, C. and Weber, R. (2011, November). Semi-Supervised Constrained Clustering with Cluster Outlier Filtering. Proceedings of the XVI Iberoamerican Congress on Pattern Recognition, CIARP 2011. Lectures Notes in Computer Science 7042. 347-354.

Bravo, C., Figueroa, N., & Weber, R. (2010, July). Modeling pricing strategies using game theory and support vector machines. In: Industrial Conference on Data Mining. Lecture Notes in Artificial Intelligence: Advances in Data Mining. Vol. 6717: 323-337. Springer Berlin Heidelberg.


Indexed Conference Papers

Óskarsdóttir, M. (*), Bravo, C., Sarraute, C., Baesens, B., & Vanthienen, J. Credit scoring for good: enhancing financial inclusion with smartphone-based microlending. In Proceedings of the Thirty Ninth International Conference on Information Systems, San Francisco, USA. 2018.

Óskarsdóttir, M. (*), Bravo, C., Verbeke, W., Sarraute, C., Baesens, B., and Vanathien, J. A comparative study of social network classifiers for predicting churn in the telecommunication industry In: Proceedings of the 2016 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining San Francisco (US):  IEEE. 2016.

Bravo, C., Figueroa, N. and Weber, R. “Game Theory and Data Mining Model for Price Dynamics in Financial Institutions”. In: Proceedings of the International Joint Conference on Neural Networks (IJCNN 2010). 1-8. 2010.

Bravo, C., Lobato, J.L., L’Huillier, G. and Weber, R. “A Hybrid System for Probability Estimation in Multiclass Problems Combining SVMs and Neural Networks”. In: HIS '08 Proceedings of the 2008 8th International Conference on Hybrid Intelligent Systems. 649-654. 2008.


Asterisks (*) indicate the author is a supervisee.


Email address:

Phone number: 519-661-2111 x87565

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