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Enhancing Performance and User Engagement in Everyday Stress Monitoring: A Context-Aware Active Reinforcement Learning Approach
11 July 2024
Seyed Amir Hossein Aqajari
Ziyu Wang
Ali Tazarv
S. Labbaf
Salar Jafarlou
Brenda Nguyen
N. Dutt
Marco Levorato
Amir M. Rahmani
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Papers citing
"Enhancing Performance and User Engagement in Everyday Stress Monitoring: A Context-Aware Active Reinforcement Learning Approach"
5 / 5 papers shown
Title
HealthQ: Unveiling Questioning Capabilities of LLM Chains in Healthcare Conversations
Ziyu Wang
Hao Li
Di Huang
Amir M. Rahmani
Chae-Won Shin
Amir M. Rahmani
LM&MA
40
9
0
28 Sep 2024
Efflex: Efficient and Flexible Pipeline for Spatio-Temporal Trajectory Graph Modeling and Representation Learning
Ming Cheng
Ziyi Zhou
Bowen Zhang
Ziyu Wang
Jiaqi Gan
Ziang Ren
Weiqi Feng
Yi Lyu
Hefan Zhang
Xingjian Diao
33
6
0
15 Apr 2024
VeTraSS: Vehicle Trajectory Similarity Search Through Graph Modeling and Representation Learning
Ming Cheng
Bowen Zhang
Ziyu Wang
Ziyi Zhou
Weiqi Feng
Yi Lyu
Xingjian Diao
33
2
0
11 Apr 2024
Differential Private Federated Transfer Learning for Mental Health Monitoring in Everyday Settings: A Case Study on Stress Detection
Ziyu Wang
Zhongqi Yang
Iman Azimi
Amir M. Rahmani
24
17
0
16 Feb 2024
Active Reinforcement Learning for Personalized Stress Monitoring in Everyday Settings
Ali Tazarv
S. Labbaf
Amir M. Rahmani
N. Dutt
Marco Levorato
26
8
0
28 Apr 2023
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