Nonparametric estimation and filtering of uncertain nonlinear processes application to a nitrification process. - Nadine Hilgert; Jean-Pierre Vila (ECC, 1999)

Nonparametric identification of controlled nonlinear time varying processes. - Nadine Hilgert; Rachid Senoussi; Jean-Pierre Vila (CDC, 2001)

Adaptive policies for time-varying stochastic systems under discounted criterion. - Nadine Hilgert; J. Adolfo Minjárez-Sosa (Math. Methods Oper. Res., 2001)

Adaptive control of stochastic systems with unknown disturbance distribution: discounted criteria. - Nadine Hilgert; J. Adolfo Minjárez-Sosa (Math. Methods Oper. Res., 2006)

Adaptive threshold computation for CUSUM-type procedures in change detection and isolation problems. - Ghislain Verdier; Nadine Hilgert; Jean-Pierre Vila (Comput. Stat. Data Anal., 2008)

Optimality of CUSUM Rule Approximations in Change-Point Detection Problems: Application to Nonlinear State-Space Systems. - Ghislain Verdier; Nadine Hilgert; Jean-Pierre Vila (IEEE Trans. Inf. Theory, 2008)

A modeling approach to design a software sensor and analyze agronomical features - Application to sap flow and grape quality relationship. - Aurélie Thébaut; Thibault Scholash; Brigitte Charnomordic; Nadine Hilgert (CoRR, 2013)

High Dimensional Data Clustering by means of Distributed Dirichlet Process Mixture Models. - Khadidja Meguelati; Benedicte Fontez; Nadine Hilgert; Florent Masseglia (IEEE BigData, 2019)

Massively Distributed Dirichlet Process Mixture Models. - Khadidja Meguelati; Benedicte Fontez; Nadine Hilgert; Florent Masseglia (INFORSID, 2019)

Dirichlet process mixture models made scalable and effective by means of massive distribution. - Khadidja Meguelati; Benedicte Fontez; Nadine Hilgert; Florent Masseglia (SAC, 2019)

Massively Distributed Clustering via Dirichlet Process Mixture. - Khadidja Meguelati; Benedicte Fontez; Nadine Hilgert; Florent Masseglia; Isabelle Sanchez (ECML/PKDD (5), 2020)