3 citations · 5 across the 23 of their papers we have counts for
4 papers · 1 filter
Practical Insights on Incremental Learning of New Human Physical Activity on the Edge
George Arvanitakis, Jingwei Zuo, Mthandazo Ndhlovu +1
Edge Machine Learning (Edge ML), which shifts computational intelligence from cloud-based systems to edge devices, is attracting significant interest due to its evident benefits in…
Opportunistic Air Quality Monitoring and Forecasting with Expandable Graph Neural Networks
Jingwei Zuo, Wenbin Li, Michele Baldo +1
Air Quality Monitoring and Forecasting has been a popular research topic in recent years. Recently, data-driven approaches for air quality forecasting have garnered significant att…
Unleashing Realistic Air Quality Forecasting: Introducing the Ready-to-Use PurpleAirSF Dataset
Jingwei Zuo, Wenbin Li, Michele Baldo +1
Air quality forecasting has garnered significant attention recently, with data-driven models taking center stage due to advancements in machine learning and deep learning models. H…
Regularization of the policy updates for stabilizing Mean Field Games
Talal Algumaei, Ruben Solozabal, Reda Alami +3
This work studies non-cooperative Multi-Agent Reinforcement Learning (MARL) where multiple agents interact in the same environment and whose goal is to maximize the individual retu…