M. Eklund, U. Norinder, S. Boyer, and L. Carlsson, Application of Conformal Prediction in QSAR, In: AIAI, issue.2, pp.166-175, 2012.
DOI : 10.1007/978-3-642-33412-2_17

M. Eklund, U. Norinder, S. Boyer, and L. Carlsson, The application of conformal prediction to the drug discovery process, Annals of Mathematics and Artificial Intelligence, vol.2, issue.8, 2013.
DOI : 10.1007/s10472-013-9378-2

V. Vovk, A. Gammerman, and G. Shafer, Algorithmic Learning in a Random World, 2005.

V. Vovk, Cross-conformal predictors, Annals of Mathematics and Artificial Intelligence, vol.36, issue.1-2, pp.1-20, 2013.
DOI : 10.1007/s10472-013-9368-4
URL : http://arxiv.org/abs/1208.0806

V. Vovk, Cross-conformal predictor. Working Paper 6, 2013.

P. Bühlmann and B. Yu, Analyzing bagging, The Annals of Statistics, vol.30, issue.4, pp.927-961, 2002.
DOI : 10.1214/aos/1031689014

D. Ruppert, Statistics and Data Analysis for Financial Engineering (Springer Texts in Statistics). 1., st edition, 2010.

V. N. Vapnik, Statistical learning theory. 1 edn, 1998.

C. C. Chang and C. J. Lin, LIBSVM, ACM Transactions on Intelligent Systems and Technology, vol.2, issue.3, pp.1-2727, 2011.
DOI : 10.1145/1961189.1961199

F. Pedregosa, G. Varoquaux, A. Gramfort, V. Michel, B. Thirion et al., Scikit-learn: Machine learning in Python, Journal of Machine Learning Research, vol.12, pp.2825-2830, 2011.
URL : https://hal.archives-ouvertes.fr/hal-00650905

H. Papadopoulos and H. Haralambous, Reliable prediction intervals with regression neural networks, Neural Networks, vol.24, issue.8, pp.842-851, 2011.
DOI : 10.1016/j.neunet.2011.05.008

H. Chen, L. Carlsson, M. Eriksson, P. Varkonyi, U. Norinder et al., Beyond the Scope of Free-Wilson Analysis: Building Interpretable QSAR Models with Machine Learning Algorithms, Journal of Chemical Information and Modeling, vol.53, issue.6, pp.1324-1336, 2013.
DOI : 10.1021/ci4001376

J. L. Faulon, M. J. Collins, and R. D. Carr, The Signature Molecular Descriptor. 4. Canonizing Molecules Using Extended Valence Sequences, Journal of Chemical Information and Computer Sciences, vol.44, issue.2, pp.427-463, 2004.
DOI : 10.1021/ci0341823

D. Egloff and M. Leippold, Quantile estimation with adaptive importance sampling, The Annals of Statistics, vol.38, issue.2, pp.1244-1278, 2010.
DOI : 10.1214/09-AOS745