Towards a multi-modal Deep Learning Architecture for User Modeling
Deep learning has succeeded in various applications, including image classification and feature learning. However, there needs to be more research on its use in Intelligent Tutoring Systems or Serious Games, particularly in modeling user behavior during learning or gaming sessions using multi-modal...
Saved in:
| Main Authors: | Ange Tato, Roger Nkambou |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
LibraryPress@UF
2023-05-01
|
| Series: | Proceedings of the International Florida Artificial Intelligence Research Society Conference |
| Online Access: | https://journals.flvc.org/FLAIRS/article/view/133328 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Towards Precision Medicine for Atherosclerosis through Multi-Modal Graph Deep Learning: A Hierarchical Network Approach
by: Irsyad Adam, et al.
Published: (2025-06-01) -
Multi-Modality Sheep Face Recognition Based on Deep Learning
by: Sheng Liao, et al.
Published: (2025-04-01) -
Deep learning for multi-modal data fusion in IoT applications
by: Anila Saghir, et al.
Published: (2025-01-01) -
Multi-spatial urban function modeling: A multi-modal deep network approach for transfer and multi-task learning
by: Zhaoya Gong, et al.
Published: (2025-02-01) -
MFF: A Deep Learning Model for Multi-Modal Image Fusion Based on Multiple Filters
by: Yuequn Wang, et al.
Published: (2025-01-01)