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Ali Amad
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2020 – today
- 2024
- [j1]Yujin Wu
, Mohamed Daoudi
Transformer-Based Self-Supervised Multimodal Representation Learning for Wearable Emotion Recognition. IEEE Trans. Affect. Comput. 15(1): 157-172 (2024) - [c6]Kevin Feghoul, Deise Santana Maia, Mehdi El Amrani, Mohamed Daoudi, Ali Amad:
MGRFormer: A Multimodal Transformer Approach for Surgical Gesture Recognition. FG 2024: 1-10 - 2023
- [c5]Kevin Feghoul, Deise Santana Maia, Mehdi El Amrani, Mohamed Daoudi, Ali Amad:
Spatial-Temporal Graph Transformer for Surgical Skill Assessment in Simulation Sessions. CIARP 2023: 287-297 - [c4]Kevin Feghoul, Deise Santana Maia, Mohamed Daoudi, Ali Amad:
MMGT: Multimodal Graph-Based Transformer for Pain Detection. EUSIPCO 2023: 556-560 - [i2]Yujin Wu, Mohamed Daoudi, Ali Amad:
Transformer-based Self-supervised Multimodal Representation Learning for Wearable Emotion Recognition. CoRR abs/2303.17611 (2023) - 2022
- [c3]Niels Martignene, Ali Amad, Julie Bellet, Julien Tabareau, Fabien D'Hondt
Goupile: A New Paradigm for the Development and Implementation of Clinical Report Forms. MIE 2022: 540-544 - [c2]Yujin Wu, Mohamed Daoudi, Ali Amad, Laurent Sparrow, Fabien D'Hondt:
Fusion of Physiological and Behavioural Signals on SPD Manifolds with Application to Stress and Pain Detection. SMC 2022: 2949-2955 - [i1]Yujin Wu, Mohamed Daoudi, Ali Amad, Laurent Sparrow, Fabien D'Hondt:
Fusion of Physiological and Behavioural Signals on SPD Manifolds with Application to Stress and Pain Detection. CoRR abs/2207.08811 (2022) - 2020
- [c1]Yujin Wu, Mohamed Daoudi, Ali Amad, Laurent Sparrow, Fabien D'Hondt:
Unsupervised Learning Method for Exploring Students' Mental Stress in Medical Simulation Training. ICMI Companion 2020: 165-170
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