Contrast Enhancement for Hypoechoic Lesions. - Vincent Laurain; Dieter Hönigmann (EMBC, 2006)

Refined instrumental variable methods for identification of Hammerstein continuous-time Box-Jenkins models. - Vincent Laurain; Marion Gilson; Hugues Garnier; Peter C. Young (CDC, 2008)

Refined instrumental variable methods for identifying hammerstein models operating in closed loop. - Vincent Laurain; Marion Gilson; Hugues Garnier (CDC, 2009)

Identification of LPV output-error and Box-Jenkins models via optimal refined instrumental variable methods. - Vincent Laurain; Marion Gilson; Roland Tóth; Hugues Garnier (ACC, 2010)

Refined instrumental variable methods for identification of LPV Box-Jenkins models. - Vincent Laurain; Marion Gilson; Roland Tóth; Hugues Garnier (Autom., 2010)

Direct identification of continuous-time LPV models. - Vincent Laurain; Marion Gilson; Roland Tóth; Hugues Garnier (ACC, 2011)

Introducing instrumental variables in the LS-SVM based identification framework. - Vincent Laurain; Wei Xing Zheng 001; Roland Tóth (CDC/ECC, 2011)

Model structure learning: A support vector machine approach for LPV linear-regression models. - Roland Tóth; Vincent Laurain; Wei Xing Zheng 001; Kameshwar Poolla (CDC/ECC, 2011)

Instrumental variable scheme for closed-loop LPV model identification. - Roland Tóth; Vincent Laurain; Marion Gilson; Hugues Garnier (Autom., 2012)

Single Minimum Nonlinearity Wiener System Identification by Weighted Principal Component Analysis. - Qinghua Zhang; Vincent Laurain (ALCOSP, 2013)

Identification of LPV partial differential equation models. - Julien Schorsch; Marion Gilson; Vincent Laurain; Hugues Garnier (CDC, 2013)

Shrinking complexity of scheduling dependencies in LS-SVM based LPV system identification. - Rene Duijkers; Roland Tóth; Dario Piga; Vincent Laurain (CDC, 2014)

Refined IV-based method for LPV partial differential equation model identification. - Julien Schorsch; Vincent Laurain; Marion Gilson; Hugues Garnier (ECC, 2014)

Wiener system identification by weighted principal component analysis. - Qinghua Zhang; Vincent Laurain (ECC, 2014)

An instrumental least squares support vector machine for nonlinear system identification. - Vincent Laurain; Roland Tóth; Dario Piga; Wei Xing Zheng 001 (Autom., 2015)

LPV system identification under noise corrupted scheduling and output signal observations. - Dario Piga; Pepijn B. Cox; Roland Tóth; Vincent Laurain (Autom., 2015)

The impact of smoothness on model class selection in nonlinear system identification: An application of derivatives in the RKHS. - Yusuf Bhujwalla; Vincent Laurain; Marion Gilson (ACC, 2016)

An RKHS approach to systematic kernel selection in nonlinear system identification. - Yusuf Bhujwalla; Vincent Laurain; Marion Gilson (CDC, 2016)

Sparse RKHS estimation via globally convex optimization and its application in LPV-IO identification. - Vincent Laurain; Roland Tóth; Dario Piga; Mohamed Abdelmonim Hassan Darwish (Autom., 2020)

Simultaneous Detectability of Process and Sensor Faults: Application to Water Distribution Networks. - Krishnan Srinivasarengan; Taha Boukhobza; Samir Aberkane; Vincent Laurain (CoRR, 2020)