activity
20242026
most citedGame of LLMs: Discovering Structural Constructs in Activities using Large Language Models

1 citations · 1 across the 3 of their papers we have counts for

collaborators

5 papers

cs.AI2026

Hierarchical Modeling of ICD Codes in EHR Foundation Models

Megha Thukral, Dong Gyun Kang, Rudra Pratap Singh +3

Electronic health record foundation models typically treat ICD diagnosis codes as flat tokens, overlooking the clinically meaningful hierarchical structure that captures disease fa…

cs.CV2025

AgentSense: Virtual Sensor Data Generation Using LLM Agents in Simulated Home Environments

Zikang Leng, Megha Thukral, Yaqi Liu +4

A major challenge in developing robust and generalizable Human Activity Recognition (HAR) systems for smart homes is the lack of large and diverse labeled datasets. Variations in h…

cs.LG2024

Maintenance Required: Updating and Extending Bootstrapped Human Activity Recognition Systems for Smart Homes

Shruthi K. Hiremath, Thomas Ploetz

Developing human activity recognition (HAR) systems for smart homes is not straightforward due to varied layouts of the homes and their personalized settings, as well as idiosyncra…

cs.LG20241 cited

Game of LLMs: Discovering Structural Constructs in Activities using Large Language Models

Shruthi K. Hiremath, Thomas Ploetz

Human Activity Recognition is a time-series analysis problem. A popular analysis procedure used by the community assumes an optimal window length to design recognition pipelines. H…

cs.AI2024

Layout Agnostic Human Activity Recognition in Smart Homes through Textual Descriptions Of Sensor Triggers (TDOST)

Megha Thukral, Sourish Gunesh Dhekane, Shruthi K. Hiremath +2

Human activity recognition (HAR) using ambient sensors in smart homes has numerous applications for human healthcare and wellness. However, building general-purpose HAR models that…