Bruno Figliuzzi

14 papers B 1C 3Journal 5Unranked 4
YearRankTypeTitle / Venue / Authors
2026 J jnl
Domain Generalization for Time Series: Enhancing Drilling Regression Models for Stick-Slip Index Prediction.
CoRR
Hana Yahia, Bruno Figliuzzi, Florent Di Meglio, Laurent Gerbaud, Stephane Menand, Mohamed Mahjoub
2025 J jnl
Domain Generalization for Time Series: Enhancing Drilling Regression Models for Stick-Slip Index Prediction.
Trans. Mach. Learn. Res.
Hana Yahia, Bruno Figliuzzi, Florent Di Meglio, Laurent Gerbaud, Stephane Menand, Mohamed Mahjoub
2025 J jnl
Optimal Transport Based Hyperspectral Unmixing for Highly Mixed Observations.
CoRR
Delphine Doutsas, Bruno Figliuzzi
2024 — conf
Optimal Transport Based Hyperspectral Unmixing for Highly Mixed Observations.
WHISPERS
Delphine Doutsas, Bruno Figliuzzi
2023 — book
Image processing for materials applications. (Image processing for materials applications).
Bruno Figliuzzi
2022 — conf
A Supervised Approach For The Detection Of Surface Oxides From Hyperspectral Measurements.
WHISPERS
Tarek Zenati, Bruno Figliuzzi, Shu Hui Ham
2022 — conf
Characterization Of Surface Oxides From Hyperspectral Measurements.
WHISPERS
Tarek Zenati, Bruno Figliuzzi, Shu Hui Ham
2022 — conf
Surface Oxide Detection and Characterization Using Sparse Unmixing on Hyperspectral Images.
ICIAP Workshops (1)
Tarek Zenati, Bruno Figliuzzi, Shu Hui Ham
2020 J jnl
Fast macula detection and application to retinal image quality assessment.
Biomed. Signal Process. Control.
Robin Alais, Petr Dokládal, Ali Erginay, Bruno Figliuzzi, Etienne Decencière
2020 J jnl
Fast marching based superpixels.
Math. Morphol. Theory Appl.
Kaiwen Chang, Bruno Figliuzzi
2019 C conf
Fast Marching Based Superpixels Generation.
ISMM
Kaiwen Chang, Bruno Figliuzzi
2017 C conf
Function Decomposition in Main and Lesser Peaks.
ISMM
Robin Alais, Petr Dokládal, Etienne Decencière, Bruno Figliuzzi
2017 C conf
Hierarchical Segmentation Based Upon Multi-resolution Approximations and the Watershed Transform.
ISMM
Bruno Figliuzzi, Kaiwen Chang, Matthieu Faessel
2016 B conf
A Bayesian Approach to Linear Unmixing in the Presence of Highly Mixed Spectra.
ACIVS
Bruno Figliuzzi, Santiago Velasco-Forero, Michel Bilodeau, Jesús Angulo