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20212026
most citedFaiR-IoT: Fairness-aware Human-in-the-Loop Reinforcement Learning for Harnessing Human Variability in Personalized IoT

27 citations · 47 across the 14 of their papers we have counts for

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Showing 2023Show all

5 papers · 1 filter

cs.AI2023

FinA: Fairness of Adverse Effects in Decision-Making of Human-Cyber-Physical-System

Tianyu Zhao, Salma Elmalaki

Ensuring fairness in decision-making systems within Human-Cyber-Physical-Systems (HCPS) is a pressing concern, particularly when diverse individuals, each with varying behaviors an…

cs.CY2023★ 2 cited

Towards Fairness-aware Crowd Management System and Surge Prevention in Smart Cities

Yixin Zhang, Tianyu Zhao, Salma Elmalaki

Instances of casualties resulting from large crowds persist, highlighting the existing limitations of current crowd management practices in Smart Cities. One notable drawback is th…

cs.LG2023★ 2 cited

FAIRO: Fairness-aware Adaptation in Sequential-Decision Making for Human-in-the-Loop Systems

Tianyu Zhao, Mojtaba Taherisadr, Salma Elmalaki

Achieving fairness in sequential-decision making systems within Human-in-the-Loop (HITL) environments is a critical concern, especially when multiple humans with different behavior…

cs.LG2023★ 13 cited

adaPARL: Adaptive Privacy-Aware Reinforcement Learning for Sequential-Decision Making Human-in-the-Loop Systems

Mojtaba Taherisadr, Stelios Andrew Stavroulakis, Salma Elmalaki

Reinforcement learning (RL) presents numerous benefits compared to rule-based approaches in various applications. Privacy concerns have grown with the widespread use of RL trained…

cs.HC2023★ 1 cited

ERUDITE: Human-in-the-Loop IoT for an Adaptive Personalized Learning System

Mojtaba Taherisadr, Mohammad Abdullah Al Faruque, Salma Elmalaki

Thanks to the rapid growth in wearable technologies and recent advancement in machine learning and signal processing, monitoring complex human contexts becomes feasible, paving the…