Mining text data, 2012. ,

Predictive accuracy: A misleading performance measure for highly imbalanced data, Proceedings of the SAS Global Forum, 2017. ,

The central limit theorem under censoring, Bernoulli, vol.6, issue.6, pp.1109-1120, 2000. ,

A review on deep convolutional neural networks, 2017 International Conference on Communication and Signal Processing (ICCSP), pp.588-0592, 2017. ,

Practical recommendations for gradient-based training of deep architectures, Neural networks: Tricks of the trade, pp.437-478, 2012. ,

Survey of text mining, Computing Reviews, vol.45, issue.9, p.548, 2004. ,

Enriching word vectors with subword information, 2016. ,

Enriching word vectors with subword information, Transactions of the Association for Computational Linguistics, vol.5, pp.135-146, 2017. ,

Bagging predictors. Machine learning, vol.24, pp.123-140, 1996. ,

,

, Smote: synthetic minority over-sampling technique, Journal of artificial intelligence research, vol.16, pp.321-357, 2002.

Long short-term memory-networks for machine reading, 2016. ,

Neural networks approach for determining total claim amounts in insurance, Insurance: Mathematics and Economics, vol.45, issue.2, pp.236-241, 2009. ,

Adaptive subgradient methods for online learning and stochastic optimization, Journal of machine learning research, vol.12, pp.2121-2159, 2011. ,

Text mining improves business intelligence and predictive modeling in insurance, Information Management, vol.13, issue.7, p.42, 2003. ,

The elements of statistical learning, vol.1, 2001. ,

The impact of churn on client value in health insurance, evaluation using a random forest under random censoring, 2018. ,

URL : https://hal.archives-ouvertes.fr/hal-01807623

The elements of statistical learning: data mining, inference, and prediction, 2009. ,

Long short-term memory, Neural computation, vol.9, issue.8, pp.1735-1780, 1997. ,

, Matthijs Douze, Hérve Jégou, and Tomas Mikolov. Fasttext.zip: Compressing text classification models, 2016.

Bag of tricks for efficient text classification, 2016. ,

Nonparametric estimation from incomplete observations, Journal of the American statistical association, vol.53, issue.282, pp.457-481, 1958. ,

Convolutional neural networks for sentence classification, 2014. ,

Revisiting squared-error and cross-entropy functions for training neural network classifiers, Neural Computing & Applications, vol.14, issue.4, pp.310-318, 2005. ,

Text mining for insurance claim cost prediction, Data Mining, pp.192-202, 2006. ,

Imagenet classification with deep convolutional neural networks, Advances in neural information processing systems, pp.1097-1105, 2012. ,

Kaiming He, and Piotr Dollár. Focal loss for dense object detection, Proceedings of the IEEE international conference on computer vision, pp.2980-2988, 2017. ,

A censored copula model for micro-level claim reserving, Insurance: Mathematics and Economics, vol.87, pp.1-14, 2019. ,

URL : https://hal.archives-ouvertes.fr/hal-01706935

Tree-based censored regression with applications in insurance, Electronic journal of statistics, vol.10, issue.2, pp.2685-2716, 2016. ,

URL : https://hal.archives-ouvertes.fr/hal-01141228

Recurrent neural network based language model, Eleventh annual conference of the international, 2010. ,

Multi-task learning and weighted cross-entropy for dnn-based keyword spotting, Interspeech, vol.9, pp.760-764, 2016. ,

Ensemble deep learning for regression and time series forecasting, 2014 IEEE symposium on computational intelligence in ensemble learning (CIEL), pp.1-6, 2014. ,

Searching for activation functions, 2017. ,

, Xin Rong. word2vec parameter learning explained, 2014.

U-net: Convolutional networks for biomedical image segmentation, International Conference on Medical image computing and computer-assisted intervention, pp.234-241, 2015. ,

Inverse probability weighting in survival analysis, Wiley StatsRef: Statistics Reference Online, 2014. ,

Learning representations by back-propagating errors, nature, vol.323, issue.6088, pp.533-536, 1986. ,

Analysis of deep neural networks for automobile insurance claim prediction, International Conference on Data Mining and Big Data, pp.114-123, 2019. ,

The central limit theorem under random censorship. The Annals of Statistics, pp.422-439, 1995. ,

Distributional convergence under random censorship when covariables are present, Scandinavian journal of statistics, pp.461-471, 1996. ,

Nonlinear censored regression, Statistica Sinica, pp.1089-1102, 1999. ,

Neural networks applied to chain-ladder reserving, European Actuarial Journal, vol.8, issue.2, pp.407-436, 2018. ,

, Adadelta: an adaptive learning rate method, 2012.