29 citations · 32 across the 9 of their papers we have counts for
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cs.LG2024★ 1 cited
An Energy-Efficient Ensemble Approach for Mitigating Data Incompleteness in IoT Applications
Yousef AlShehri, Lakshmish Ramaswamy
Machine Learning (ML) is becoming increasingly important for IoT-based applications. However, the dynamic and ad-hoc nature of many IoT ecosystems poses unique challenges to the ef…
cs.LG2023★ 2 cited
Towards Modular Machine Learning Solution Development: Benefits and Trade-offs
Samiyuru Menik, Lakshmish Ramaswamy
Machine learning technologies have demonstrated immense capabilities in various domains. They play a key role in the success of modern businesses. However, adoption of machine lear…
cs.LG2022
SECOE: Alleviating Sensors Failure in Machine Learning-Coupled IoT Systems
Yousef AlShehri, Lakshmish Ramaswamy
Machine learning (ML) applications continue to revolutionize many domains. In recent years, there has been considerable research interest in building novel ML applications for a va…