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- research-articleJuly 2024
FAIRO: Fairness-aware Sequential Decision Making for Human-in-the-Loop CPS
2024 ACM/IEEE 15th International Conference on Cyber-Physical Systems (ICCPS)Pages 87–98https://doi.org/10.1109/ICCPS61052.2024.00015Achieving fairness in sequential decision making systems within Human-in-the-Loop (HITL) environments is a critical concern, especially when multiple humans with different behavior and expectations are affected by the same adaptation decisions in the ...
- research-articleMay 2023
adaPARL: Adaptive Privacy-Aware Reinforcement Learning for Sequential Decision Making Human-in-the-Loop Systems
IoTDI '23: Proceedings of the 8th ACM/IEEE Conference on Internet of Things Design and ImplementationPages 262–274https://doi.org/10.1145/3576842.3582325Reinforcement learning (RL) presents numerous benefits compared to rule-based approaches in various applications. Privacy concerns have grown with the widespread use of RL trained with privacy-sensitive data in IoT devices, especially for human-in-the-...
- research-articleNovember 2018
Multi-modal system to detect on-the-road driver distraction
2018 21st International Conference on Intelligent Transportation Systems (ITSC)Pages 2191–2196https://doi.org/10.1109/ITSC.2018.8569893The number of traffic accidents is increasing year on year. Studies show that distraction during driving is one of the major causes of traffic accidents. Lack of attention to the primary task of driving due to involvement in activities such as phone ...
