16 citations · 17 across the 9 of their papers we have counts for
6 papers · 1 filter
B-CARE: Blind Classwise Assessment of Relative Evidence for Stance Error Ranking
Meysam Sabbaghan, Doina Caragea
Stance classifiers make errors that can be costly to identify under limited human-review budgets. Prioritizing potentially incorrect predictions remains challenging, particularly a…
Conversational AI for Perceived Cognitive Decline Screening in Older Adults
Nikita Gautam, Moana Sargent, Kaitlyn Sievers +4
Early detection of cognitive decline in older adults remains challenging due to the resource demands of standard neuropsychological assessments. Chatbot-based Intelligent Cognitive…
Multi-Agent Reasoning with Adaptive Worker Allocation for Stance Detection
Meysam Sabbaghan, Arman Zareian Jahromi, Doina Caragea
Stance detection requires identifying an author's position toward a target, often from short-form texts where stance is implicit, indirect, or rhetorically framed. Although large l…
LLM-guided Semi-Supervised Approaches for Social Media Crisis Data Classification
Jacob Ativo, Bharaneeshwar Balasubramaniyam, Anh Tran +4
Semi-supervised learning approaches have been investigated as a means to enhance the analysis of social media data in disaster management contexts. In this work, we present the fir…
MSGL-Transformer: A Multi-Scale Global-Local Transformer for Rodent Social Behavior Recognition
Muhammad Imran Sharif, Doina Caragea
Recognition of rodent behavior is important for understanding neural and behavioral mechanisms. Traditional manual scoring is time-consuming and prone to human error. We propose MS…
Practical Insights into Semi-Supervised Object Detection Approaches
Chaoxin Wang, Bharaneeshwar Balasubramaniyam, Anurag Sangem +2
Learning in data-scarce settings has recently gained significant attention in the research community. Semi-supervised object detection(SSOD) aims to improve detection performance b…