Franck Dufrenois

24 papers A* 1A 1B 8C 1Journal 12Unranked 1
YearRankTypeTitle / Venue / Authors
2026 J jnl
Structured Multidimensional Representation Learning for Large Language Models.
CoRR
Alaa El Ichi, Khalide Jbilou, Mohamed El Guide, Franck Dufrenois
2025 J jnl
A support vector machine formulation for linear and kernel discriminant analysis.
Neurocomputing
Franck Dufrenois, Khalide Jbilou
2025 J jnl
Trace Ratio Based Manifold Learning With Tensor Data.
Numer. Linear Algebra Appl.
Mohammed Bouallala, Franck Dufrenois, Khalide Jbilou, Ahmed Ratnani
2025 J jnl
Trace Ratio vs Ratio Trace methods for multi dimensionality reduction.
CoRR
Alaeddine Zahir, Franck Dufrenois, Khalide Jbilou, Ahmed Ratnani
2024 J jnl
Trace Ratio Based Manifold Learning with Tensor Data.
CoRR
Mohammed Bouallala, Franck Dufrenois, Khalide Jbilou, Ahmed Ratnani
2022 — conf
Collaborative Kernel Discriminant Analysis for Large Scale Multi Class Problems.
SADASC
Amine Khatib, Franck Dufrenois, Mohamed Hamlich, Denis Hamad
2022 J jnl
Incremental and compressible kernel null discriminant analysis.
Pattern Recognit.
Franck Dufrenois
2022 J jnl
Multilinear Discriminant Analysis using a new family of tensor-tensor products.
CoRR
Franck Dufrenois, Alaa El Ichi, Khalide Jbilou
2019 B conf
Sparse and online null proximal discriminant analysis for one class learning in large-scale datasets.
IJCNN
Franck Dufrenois, Denis Hamad
2016 B conf
A null space based one class kernel Fisher discriminant.
IJCNN
Franck Dufrenois, Jean-Charles Noyer
2016 J jnl
One class proximal support vector machines.
Pattern Recognit.
Franck Dufrenois, Jean-Charles Noyer
2015 J jnl
A One-Class Kernel Fisher Criterion for Outlier Detection.
IEEE Trans. Neural Networks Learn. Syst.
Franck Dufrenois
2015 B conf
Generalized eigenvalue proximal support vector machines for outlier description.
IJCNN
Franck Dufrenois, Jean-Charles Noyer
2013 J jnl
Formulating Robust Linear Regression Estimation as a One-Class LDA Criterion: Discriminative Hat Matrix.
IEEE Trans. Neural Networks Learn. Syst.
Franck Dufrenois, Jean-Charles Noyer
2012 B conf
Discriminative kernel hat matrix: A new tool for automatic outlier identification.
IJCNN
Franck Dufrenois, Jean-Charles Noyer
2011 B conf
Discriminative Hat Matrix: A new tool for outlier identification and linear regression.
IJCNN
Franck Dufrenois, Jean-Charles Noyer
2009 B conf
A kernel hat matrix based rejection criterion for outlier removal in support vector regression.
IJCNN
Franck Dufrenois, Jean-Charles Noyer
2009 J jnl
Bounded Influence Support Vector Regression for Robust Single-Model Estimation.
IEEE Trans. Neural Networks
Franck Dufrenois, Johan Colliez, Denis Hamad
2007 A* conf
Crisp Weighted Support Vector Regression for robust single model estimation : application to object tracking in image sequences.
CVPR
Franck Dufrenois, Johan Colliez, Denis Hamad
2007 B conf
Fuzzy weighted support vector regression for multiple linear model estimation : application to object tracking in image sequences.
IJCNN
Franck Dufrenois, Denis Hamad
2007 B conf
Weighted Support Vector Regression for robust single model estimation : application to motion segmentation in image sequences.
IJCNN
Franck Dufrenois, Johan Colliez, Denis Hamad
2006 J jnl
Optic flow estimation by support vector regression.
Eng. Appl. Artif. Intell.
Johan Colliez, Franck Dufrenois, Denis Hamad
2006 A conf
Robust Regression and Outlier Detection with SVR: Application to Optic Flow Estimation.
BMVC
Johan Colliez, Franck Dufrenois, Denis Hamad
2001 C conf
Ellipse Fitting with Uncertainty and Fuzzy Decision Stage for Detection. Application in Videomicroscopy.
ECSQARU
Franck Dufrenois