Minimizing Subject-dependent Calibration for BCI with Riemannian Transfer Learning. - Salim Khazem; Sylvain Chevallier; Quentin Barthélemy; Karim Haroun; Camille Noûs (NER, 2021)

Improving Knot Prediction in Wood Logs with Longitudinal Feature Propagation. - Salim Khazem; Jérémy Fix; Cédric Pradalier (ICVS, 2023)

PoTATO: A Dataset for Analyzing Polarimetric Traces of Afloat Trash Objects. - Luis F. W. Batista; Salim Khazem; Mehran Adibi; Seth Hutchinson 001; Cédric Pradalier (ECCV Workshops (1), 2024)

The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark. - Sylvain Chevallier; Igor Carrara; Bruno Aristimunha; Pierre Guetschel; Sara Sedlar; Bruna Lopes; Sébastien Velut; Salim Khazem; Thomas Moreau 001 (CoRR, 2024)

Apprentissage profond et traitement d'images pour la détection et la prédiction des nœuds au cœur des rondins. (Deep-learning and image processing for tree knot detection and prediction). - Salim Khazem (2024)

PolygoNet: Leveraging Simplified Polygonal Representation for Effective Image Classification. - Salim Khazem; Jérémy Fix; Cédric Pradalier (CoRR, 2025)

BYO-Eval: Build Your Own Dataset for Fine-Grained Visual Assessment of Multimodal Language Models. - Ludovic Arnould; Salim Khazem; Hugues Ali Mehenni (CoRR, 2025)