A neural network approach for credit risk evaluation, The Quarterly Review of Economics and Finance, vol.48, pp.733-55, 2008. ,
DOI : 10.1016/j.qref.2007.04.001
The Definitive Performance Tuning Guide for H2O Deep Learning, 2015. ,
A comparative survey of artificial intelligence applications in finance: Artificial neural networks, expert system and hybrid intelligent systems, Neural Computing and Applications, vol.19, pp.1165-95, 2010. ,
A 15 year perspective on automatic programming, IEEE Transactions on Software Engineering, vol.11, pp.1257-68, 1985. ,
DOI : 10.1109/tse.1985.231877
Analysis of a random forests model, Journal of Machine Learning Research, vol.13, pp.1063-95, 2012. ,
URL : https://hal.archives-ouvertes.fr/hal-00704947
Some Infinity Theory for Predictors Ensembles, Berkeley: UC Berkeley, vol.577, 2000. ,
Consistency for a Sample Model of Random Forests, Berkeley: UC Berkeley, vol.670, 2004. ,
Risk and risk management in the credit card industry, Journal of Banking and Finance, vol.72, pp.218-257, 2016. ,
Data Mining for Direct Marketing Problems and Solutions, Paper presented at International Conference on Knowledge Discovery from Data ( KDD 98), pp.73-79, 1998. ,
Smote: Synthetic minority over-sampling technique, Journal of Artificial Intelligence Research, vol.16, pp.321-57, 2002. ,
La loi pour une république numérique: Concertation citoyenne sur les enjeux éthiques lies à la place des algorithmes dans notre vie quotidienne, Commission nationale de l'informatique et des libertés. Montpellier: CNIL, 2017. ,
Logic program synthesis, Journal of Logic Programming, vol.19, pp.321-50, 1994. ,
Extremely randomized trees, Machine Learning, vol.63, pp.3-42, 2006. ,
URL : https://hal.archives-ouvertes.fr/hal-00341932
Variable selection via nonconcave penalized likelihood and its oracle properties, Journal of the American Statistical Society, vol.96, pp.1348-60, 2001. ,
The elements of statistical learning, Springer Series in Statistics, vol.1, pp.337-87, 2001. ,
Regularization paths for generalized linear models via coordinate descent, Journal of Statistical Software, vol.33, issue.1, 2010. ,
Greedy function approximation: A gradient boosting machine, The Annals of Statistics, vol.29, pp.1189-232, 2001. ,
Credit risk assessment using statistical and machine learning: Basic methodology and risk modeling applications, Computational Economics, vol.15, pp.107-150, 2000. ,
The estimation of the lorenz curve and the gini index, The Review of Economics and Statistics, vol.54, pp.306-322, 1972. ,
Regulation on the Protection of Natural Persons with Regard to the Processing of Personal Data and on the Free Movement of Such Data, and Repealing Directive 95/46/EC (General Data Protection Regulation), EUR Lex L119, pp.1-88, 2016. ,
Data mining of inputs: Analyzing magnitude and functional measures, International Journal of Neural Systems, vol.8, pp.209-226, 1997. ,
Random Forests: Some Methodological Insights, 2008. ,
URL : https://hal.archives-ouvertes.fr/inria-00340725
Reducing the dimensionality of data with neural networks, Science, vol.313, pp.504-511, 2006. ,
Turing computability with neural nets, Applied Mathematics Letters, vol.4, pp.77-80, 1991. ,
Credit rating analysis with support vector machines and neural networks: A market comparative study, Decision Support Systems, vol.37, pp.543-58, 2004. ,
Modern analysis of customer surveys: Comparison of models and integrated analysis, Applied Stochastic Models in Business and Industry, vol.27, pp.465-75, 2011. ,
Consumer credit-risk models via machine-learning algorithms, Journal of Banking and Finance, vol.34, pp.2767-87, 2010. ,
Machine learning in the detection of oil spills in satellite radar images, Machine Learning, vol.30, pp.195-215, 1999. ,
Addressing the curse of imbalanced training sets: One sided selection, Paper presented at Fourteenth International Conference on Machine Learning, pp.179-86, 1997. ,
A note on the calculation and interpretation of the gini index, Economic Letters, vol.15, pp.363-68, 1984. ,
Training and assessing classification rules with imbalanced data, Data Mining and Knowledge Discovery, vol.28, pp.92-122, 2011. ,
Feature selection for unbalanced class distribution and naives bayes, Paper presented at 16th International Conference on Machine Learning, pp.258-67, 1999. ,
Theoretical comparison between the gini index and information gain criteria, Annals of Mathematics and Artificial Intelligence, vol.41, pp.77-93, 2004. ,
, Deep Learning in Neural Networks: An Overview, 2014.
, Advances in Kernel Methods-Support Vector Learning, vol.77, 1998.
The impact of risk management in credit rating agencies, 2017. ,
Deep Learning for Mortgage Risk, 2018. ,
Regression shrinkage and selection via the lasso, Journal of the Royal Statistical Society, Series B, vol.58, pp.267-88, 1996. ,
Regression shrinkage and selection via the lasso:a retrospective, Journal of the Royal Statistical Society, Series B, vol.58, pp.267-88, 2011. ,
, The Nature of Statistical Learning Theory, 1995.
On an extension of the gini inequality index, International Economic Review, vol.24, pp.617-645, 1983. ,
The adaptive lasso and its oracle properties, Journal of the American Statistical Society, vol.101, pp.1418-1447, 2006. ,
Regulation and variable selection via the elastic net, Journal of the Royal Statistical Society, vol.67, pp.301-321, 2005. ,