Papers by Mohamed Abouelenien

2 papers
MUSER: MUltimodal Stress detection using Emotion Recognition as an Auxiliary Task (2021.naacl-main)

Copied to clipboard

Challenge: Existing methods to detect stress have not explored the inter-dependence between emotion and stress.
Approach: They propose a transformer-based model architecture and a novel multi-task learning algorithm with speed-based dynamic sampling strategy to improve stress detection.
Outcome: The proposed model is effective with internal and external auxiliary tasks and achieves state-of-the-art results.
CliniDial: A Naturally Occurring Multimodal Dialogue Dataset for Team Reflection in Action During Clinical Operation (2025.findings-acl)

Copied to clipboard

Challenge: Prior studies have shown that sufficient collaboration is the key factor that determines the outcome of an operation.
Approach: They propose to model the communication between team members during an operation using audio data and physiology signals from two camera angles.
Outcome: The proposed model is based on existing frameworks and invites future effort on developing methods that can deal with real-world clinical data.

What is GenGO?

GenGO is an NLP powered publication search system. It currenctly indexes 30k+ papers from ACL Anthology, and implements multi-aspect summarization, semantic search, and more!

Information

About
Limitations