Design of low-dimensional controllers for high-dimensional systems

Finite-gain L p stability for hybrid dynamical systems

A geometric stabilization of planar switched systems

Necessary stability conditions for reaction-diffusion-ODE systems

Design of Saturating State-Feedback with Sign-Indefinite Quadratic Forms

Delays and Interconnections: Methodology, Algorithms and Applications

A neural approach for fast simulation of flight mechanics

Dissipation inequalities for the analysis of a class of PDEs

Ridges and Umbilics of Polynomial Parametric Surfaces

Generalized multiple-set Kernel CCA

Regularized generalized canonical correlation analysis for multiblock and multigroup data analysis

Kernel PLS path modelling

Regularized Generalized Canonical Correlation Analysis for the joint analysis of several datasets

Structured Data Analysis with RGCCA

Structured Data Analysis With RGCCA

Variable Selection for Generalized Regularized Canonical Correlation Analysis

Kernel Generalized Canonical Correlation Analysis

Advances on regularized generalized canonical correlation analysis

Multigroup or multiblock data analysis with RGCCA

Regularized Generalized Canonical Correlation Analysis extended to three way data

Globally Sparse PLS Regression

Three-way Regularized Generalized Canonical Correlation Analysis

Correlated Component PLS-type Regression with variable selection feature for large datasets

Extended Regularized Canonical Correlation Analysis to multi-group data analysis

Regularized Generalized Canonical Correlation Analysis and PLS Path Modeling

A generalization to three or more blocks of regularized canonical correlation analysis

RGCCA for the analysis of Microbiome data

Kernel Generalized Canonical Correlation Analysis

Kernel PLS path modelling

Graph Constrained Discriminant Analysis: A New Method for the Integration of a Graph into a Classification Process

Global Criteria for Sparse Penalized Partial Least Squares

Advances on RGCCA

A Variable Selection via Correlated Component PLS-type Regression

Regularized generalized canonical correlation analysis for multiblock or multigroup data analysis

Structural Equation Modeling with Latent/Emergent Variables: RGCCAc

Enhanced visual analysis of aircraft engines based on spectrograms

A framework for multiblock component methods

Global Criteria for Sparse Penalized Partial Least Squares

Analyse Factorielle Discriminante Multi-voie

Shiny and Galaxy interactive software for multi-source data analysis

Regularized generalized canonical correlation analysis

Regularized Generalized Canonical Correlation Analysis

Graph-Constrained Discriminant Analysis of functional genomics data

Multiway Regularized Generalized Canonical Correlation Analysis

Régression Logistique Multivoie

Globally sparse PLS regression

Shrinkage Covariance Estimation Incorporating Prior Biological Knowledge with Applications to High-Dimensional Data

Multiway Regularized Generalized Canonical Correlation Analysis

Recent advances on Regularized Generalized Canonical Correlation Analysis. Applications to deciphering the chronic effects of urban pollution exposure.

Consistent and asymptotically normal RGCCA estimators for linear structural equations with latent variables (RGCCAc)