Ellipse Fitting with Uncertainty and Fuzzy Decision Stage for Detection. Application in Videomicroscopy. - Franck Dufrenois (ECSQARU, 2001)

Robust Regression and Outlier Detection with SVR: Application to Optic Flow Estimation. - Johan Colliez; Franck Dufrenois; Denis Hamad (BMVC, 2006)

Optic flow estimation by support vector regression. - Johan Colliez; Franck Dufrenois; Denis Hamad (Eng. Appl. Artif. Intell., 2006)

Crisp Weighted Support Vector Regression for robust single model estimation : application to object tracking in image sequences. - Franck Dufrenois; Johan Colliez; Denis Hamad (CVPR, 2007)

Weighted Support Vector Regression for robust single model estimation : application to motion segmentation in image sequences. - Franck Dufrenois; Johan Colliez; Denis Hamad (IJCNN, 2007)

Fuzzy weighted support vector regression for multiple linear model estimation : application to object tracking in image sequences. - Franck Dufrenois; Denis Hamad (IJCNN, 2007)

A kernel hat matrix based rejection criterion for outlier removal in support vector regression. - Franck Dufrenois; Jean-Charles Noyer (IJCNN, 2009)

Bounded Influence Support Vector Regression for Robust Single-Model Estimation. - Franck Dufrenois; Johan Colliez; Denis Hamad (IEEE Trans. Neural Networks, 2009)

Discriminative Hat Matrix: A new tool for outlier identification and linear regression. - Franck Dufrenois; Jean-Charles Noyer (IJCNN, 2011)

Discriminative kernel hat matrix: A new tool for automatic outlier identification. - Franck Dufrenois; Jean-Charles Noyer (IJCNN, 2012)

Formulating Robust Linear Regression Estimation as a One-Class LDA Criterion: Discriminative Hat Matrix. - Franck Dufrenois; Jean-Charles Noyer (IEEE Trans. Neural Networks Learn. Syst., 2013)

Generalized eigenvalue proximal support vector machines for outlier description. - Franck Dufrenois; Jean-Charles Noyer (IJCNN, 2015)

A One-Class Kernel Fisher Criterion for Outlier Detection. - Franck Dufrenois (IEEE Trans. Neural Networks Learn. Syst., 2015)

A null space based one class kernel Fisher discriminant. - Franck Dufrenois; Jean-Charles Noyer (IJCNN, 2016)

One class proximal support vector machines. - Franck Dufrenois; Jean-Charles Noyer (Pattern Recognit., 2016)

Sparse and online null proximal discriminant analysis for one class learning in large-scale datasets. - Franck Dufrenois; Denis Hamad (IJCNN, 2019)

Collaborative Kernel Discriminant Analysis for Large Scale Multi Class Problems. - Amine Khatib; Franck Dufrenois; Mohamed Hamlich; Denis Hamad (SADASC, 2022)

Multilinear Discriminant Analysis using a new family of tensor-tensor products. - Franck Dufrenois; Alaa El Ichi; Khalide Jbilou (CoRR, 2022)

Incremental and compressible kernel null discriminant analysis. - Franck Dufrenois (Pattern Recognit., 2022)

A support vector machine formulation for linear and kernel discriminant analysis. - Franck Dufrenois; Khalide Jbilou (Neurocomputing, 2025)

Trace Ratio vs Ratio Trace methods for multi dimensionality reduction. - Alaeddine Zahir; Franck Dufrenois; Khalide Jbilou; Ahmed Ratnani (CoRR, 2025)

Trace Ratio Based Manifold Learning With Tensor Data. - Mohammed Bouallala; Franck Dufrenois; Khalide Jbilou; Ahmed Ratnani (Numer. Linear Algebra Appl., 2025)