Léo Hemamou
Orcid: 0000-0001-8763-9453
According to our database1,
Léo Hemamou
authored at least 11 papers
between 2019 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
On csauthors.net:
Bibliography
2024
Scaling Up Summarization: Leveraging Large Language Models for Long Text Extractive Summarization.
CoRR, 2024
2023
Multimodal Hierarchical Attention Neural Network: Looking for Candidates Behaviour Which Impact Recruiter's Decision.
IEEE Trans. Affect. Comput., 2023
Leveraging Interactional Sociology for Trust Analysis in Multiparty Human-Robot Interaction.
Proceedings of the International Conference on Human-Agent Interaction, 2023
Proceedings of the Advances in Information Retrieval, 2023
Proceedings of the Working Notes of the Conference and Labs of the Evaluation Forum (CLEF 2023), 2023
2022
Proceedings of the 2nd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 12th International Joint Conference on Natural Language Processing, 2022
CoFE: A New Dataset of Intra-Multilingual Multi-target Stance Classification from an Online European Participatory Democracy Platform.
Proceedings of the 2nd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 12th International Joint Conference on Natural Language Processing, 2022
2021
Analyse automatique des comportements multimodaux lors d'entretiens vidéo différés pour le recrutement. (Automatic analysis of multimodal behaviors during asynchronous video interviews for recruitment).
PhD thesis, 2021
Don't Judge Me by My Face: An Indirect Adversarial Approach to Remove Sensitive Information From Multimodal Neural Representation in Asynchronous Job Video Interviews.
Proceedings of the 9th International Conference on Affective Computing and Intelligent Interaction, 2021
2019
Proceedings of the 8th International Conference on Affective Computing and Intelligent Interaction, 2019
HireNet: A Hierarchical Attention Model for the Automatic Analysis of Asynchronous Video Job Interviews.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019