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20212024
most citedActive Reinforcement Learning for Personalized Stress Monitoring in Everyday Settings

12 citations · 36 across the 15 of their papers we have counts for

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Showing 2022 · cs.LGShow all

5 papers · 2 filters

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.LG2022★ 1 cited

Efficient Personalized Learning for Wearable Health Applications using HyperDimensional Computing

Sina Shahhosseini, Yang Ni, Hamidreza Alikhani +4

Health monitoring applications increasingly rely on machine learning techniques to learn end-user physiological and behavioral patterns in everyday settings. Considering the signif…

cs.LG2022

Hybrid Learning for Orchestrating Deep Learning Inference in Multi-user Edge-cloud Networks

Sina Shahhosseini, Tianyi Hu, Dongjoo Seo +4

Deep-learning-based intelligent services have become prevalent in cyber-physical applications including smart cities and health-care. Collaborative end-edge-cloud computing for dee…

cs.LG2022

Online Learning for Orchestration of Inference in Multi-User End-Edge-Cloud Networks

Sina Shahhosseini, Dongjoo Seo, Anil Kanduri +5

Deep-learning-based intelligent services have become prevalent in cyber-physical applications including smart cities and health-care. Deploying deep-learning-based intelligence nea…

cs.LG2022★ 2 cited

Novel Blood Pressure Waveform Reconstruction from Photoplethysmography using Cycle Generative Adversarial Networks

Milad Asgari Mehrabadi, Seyed Amir Hossein Aqajari, Amir Hosein Afandizadeh Zargari +2

Continuous monitoring of blood pressure (BP)can help individuals manage their chronic diseases such as hypertension, requiring non-invasive measurement methods in free-living condi…