A Bayesian Approach to Linear Unmixing in the Presence of Highly Mixed Spectra. - Bruno Figliuzzi; Santiago Velasco-Forero; Michel Bilodeau; Jesús Angulo (ACIVS, 2016)

Function Decomposition in Main and Lesser Peaks. - Robin Alais; Petr Dokládal; Etienne Decencière; Bruno Figliuzzi (ISMM, 2017)

Hierarchical Segmentation Based Upon Multi-resolution Approximations and the Watershed Transform. - Bruno Figliuzzi; Kaiwen Chang; Matthieu Faessel (ISMM, 2017)

Fast Marching Based Superpixels Generation. - Kaiwen Chang; Bruno Figliuzzi (ISMM, 2019)

Fast macula detection and application to retinal image quality assessment. - Robin Alais; Petr Dokládal; Ali Erginay; Bruno Figliuzzi; Etienne Decencière (Biomed. Signal Process. Control., 2020)

Fast marching based superpixels. - Kaiwen Chang; Bruno Figliuzzi (Math. Morphol. Theory Appl., 2020)

Surface Oxide Detection and Characterization Using Sparse Unmixing on Hyperspectral Images. - Tarek Zenati; Bruno Figliuzzi; Shu Hui Ham (ICIAP Workshops (1), 2022)

Characterization Of Surface Oxides From Hyperspectral Measurements. - Tarek Zenati; Bruno Figliuzzi; Shu Hui Ham (WHISPERS, 2022)

A Supervised Approach For The Detection Of Surface Oxides From Hyperspectral Measurements. - Tarek Zenati; Bruno Figliuzzi; Shu Hui Ham (WHISPERS, 2022)

Image processing for materials applications. (Image processing for materials applications). - Bruno Figliuzzi (2023)

Optimal Transport Based Hyperspectral Unmixing for Highly Mixed Observations. - Delphine Doutsas; Bruno Figliuzzi (WHISPERS, 2024)

Domain Generalization for Time Series: Enhancing Drilling Regression Models for Stick-Slip Index Prediction. - Hana Yahia; Bruno Figliuzzi; Florent Di Meglio; Laurent Gerbaud; Stephane Menand; Mohamed Mahjoub (Trans. Mach. Learn. Res., 2025)