Pollution Detection on Rail Surface for Adhesion Evaluation Using Multispectral Images. - Claire Nicodeme; Bogdan Stanciulescu (DICTA, 2017)

Pollution discrimination on rail surface for adhesion evaluation using hyperspectral signatures. - Claire Nicodeme; Romain Ceolato; Bogdan Stanciulescu (ITSC, 2017)

Evaluation de l'adhérence au contact roue-rail par analyse d'images spectrales. (Wheel-track adhesion evaluation using spectral imaging). - Claire Nicodeme (2018)

Build confidence and acceptance of AI-based decision support systems - Explainable and liable AI. - Claire Nicodeme (HSI, 2020)

Tackle Cognitive Biases in Videosurveillance. - Claire Nicodeme (ISIE, 2021)

Fare-evasion detection at ticket gates using posture analysis. - Claire Nicodeme (ITSC, 2022)

Xplique: A Deep Learning Explainability Toolbox. - Thomas Fel; Lucas Hervier; David Vigouroux; Antonin Poché; Justin Plakoo; Rémi Cadène; Mathieu Chalvidal; Julien Colin; Thibaut Boissin; Louis Béthune; Agustin Martin Picard; Claire Nicodeme; et al. (CoRR, 2022)

Don't Lie to Me! Robust and Efficient Explainability with Verified Perturbation Analysis. - Thomas Fel; Melanie Ducoffe; David Vigouroux; Rémi Cadène; Mikael Capelle; Claire Nicodème; Thomas Serre (CVPR, 2023)

TransVLAD: Multi-Scale Attention-Based Global Descriptors for Visual Geo-Localization. - Yifan Xu; Pourya Shamsolmoali; Eric Granger; Claire Nicodeme; Laurent Gardes; Jie Yang 002 (WACV, 2023)

Computer Vision-Based Method for Digital Twin Modelling in Railway. - Shirui Zhang; Briac Leromancer; Claire Nicodeme (ITSC, 2024)