activity
20162026
most citedAdaptive Workload Distribution for Accuracy-aware DNN Inference on Collaborative Edge Platforms

4 citations · 6 across the 15 of their papers we have counts for

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5 papers · 1 filter

cs.LG2026

Explainable Prediction from Mobile Sensing Data through LLM-guided Concept Integration

Yuning Wang, Iman Azimi, Amir M. Rahmani +1

Mobile sensing enables longitudinal monitoring of behavioral and physiological patterns in everyday settings. However, accurate prediction remains challenging in small-cohort healt…

cs.LG2026

TAPAS: Throughput-adaptive Perception for Autonomous Systems

Aman Vyas, Vasista Kodumagulla, Zain Taufique +2

Autonomous systems rely on a perception module to navigate through dynamic environments. In real-world scenarios, the perception module's throughput requirements vary at runtime du…

cs.LG2024

Impact of Physical Activity on Quality of Life During Pregnancy: A Causal ML Approach

Kianoosh Kazemi, Iina Ryhtä, Iman Azimi +4

The concept of Quality of Life (QoL) refers to a holistic measurement of an individual's well-being, incorporating psychological and social aspects. Pregnant women, especially thos…

cs.LG2022

Edge-centric Optimization of Multi-modal ML-driven eHealth Applications

Anil Kanduri, Sina Shahhosseini, Emad Kasaeyan Naeini +4

Smart eHealth applications deliver personalized and preventive digital healthcare services to clients through remote sensing, continuous monitoring, and data analytics. Smart eHeal…

cs.LG2021★ 1 cited

AMSER: Adaptive Multi-modal Sensing for Energy Efficient and Resilient eHealth Systems

Emad Kasaeyan Naeini, Sina Shahhosseini, Anil Kanduri +3

eHealth systems deliver critical digital healthcare and wellness services for users by continuously monitoring physiological and contextual data. eHealth applications use multi-mod…