J. Liu, S. Sriboonchitta, A. Wiboonpongse and T. Denoeux. A trivariate Gaussian copula stochastic frontier model with sample selection. International Journal of Approximate Reasoning, Volume 137, Pages 181-198, 2021. pdf
S. Sriboonchitta, J. Liu, A. Wiboonpongse and T. Denoeux. A double-copula stochastic frontier model with dependent error components and correction for sample selection. International Journal of Approximate Reasoning, Volume 80, Pages 174-184, 2017. pdf
A. Wiboonpongse, J. Liu, S. Sriboonchitta and T. Denoeux. Modeling dependence between error components of the stochastic frontier model using copula: Application to Intercrop Coffee Production in Northern Thailand. International Journal of Approximate Reasoning, Vol. 65, Pages 34-44, 2015. pdf
E. Côme, L. Oukhellou, T. Denoeux and P. Aknin. Fault diagnosis of a railway device using semi-supervised independent factor analysis with mixing constraints. Pattern Analysis and Applications, Vol. 15, Number 3, pages 313-326, 2012. pdf
Z. Younes, F. Abdallah, T. Denoeux and H. Snoussi. A dependent multi-label classification method derived from the k-nearest neighbor rule. EURASIP Journal on Advances in Signal Processing, vol. 2011, Article ID 645964, 14 pages, 2011. doi:10.1155/2011/645964. pdf
T. Denoeux and G. Govaert. Un algorithme de classification automatique non paramétrique. Comptes-Rendus de l'Académie des Sciences , t. 324, Série I, p. 673-678, 1997. pdf