| Calling to cnn-lstm for rumor detection: A deep multi-channel model for message veracity classification in microblogs A Azri, C Favre, N Harbi, J Darmont, C Noûs Machine Learning and Knowledge Discovery in Databases. Applied Data Science …, 2021 | 14 | 2021 |
| Monitor: A multimodal fusion framework to assess message veracity in social networks A Azri, C Favre, N Harbi, J Darmont, C Noûs Advances in Databases and Information Systems: 25th European Conference …, 2021 | 9 | 2021 |
| Rumor classification through a multimodal fusion framework and ensemble learning A Azri, C Favre, N Harbi, J Darmont, C Noûs Information Systems Frontiers 25 (5), 1795-1810, 2023 | 7 | 2023 |
| Including images into message veracity assessment in social media A Azri, C Favre, N Harbi, J Darmont arXiv preprint arXiv:2008.01196, 2020 | 2 | 2020 |
| Vers une analyse des rumeurs dans les réseaux sociaux basée sur la véracité des images: état de l’art A Azri, C Favre, N Harbi, J Darmont disponible sur: https://eric. univ, 2020 | 2 | 2020 |
| DAT@ Z21: A Comprehensive Multimodal Dataset for Rumor Classification in Microblogs A Azri, C Favre, N Harbi, J Darmont, C Noûs International Conference on Big Data Analytics and Knowledge Discovery, 161-175, 2023 | | 2023 |
| Approches multimodales d'apprentissage automatique pour la détection des rumeurs dans les microblogs A Azri Université de Lyon, 2022 | | 2022 |
| Multimodal Machine Learning Approaches for Rumor Detection in Microblogs A Azri < bound method Organization. get_name_with_acronym of< Organization: TEL …, 2022 | | 2022 |
Jérôme DarmontProfessor of Computer Science, Université de Lyon, Lyon 2, UR ERIC在 univ-lyon2.fr 的电子邮件经过验证
