12 citations · 17 across the 6 of their papers we have counts for
6 papers
Signal-based Model Access Risk Analysis for AI System Operations Security
Maria Mahbub, Steven Young, Amir Sadovnik +4
Artificial intelligence (AI) systems are now ubiquitous across domains such as security, finance, healthcare, consumer technology, and large-scale cloud services, where they proces…
Visual Word Sense Disambiguation with CLIP through Dual-Channel Text Prompting and Image Augmentations
Shamik Bhattacharya, Daniel Perkins, Yaren Dogan +3
Ambiguity poses persistent challenges in natural language understanding for large language models (LLMs). To better understand how lexical ambiguity can be resolved through the vis…
clustra: A multi-platform k-means clustering algorithm for analysis of longitudinal trajectories in large electronic health records data
Nimish Adhikari, Hanna Gerlovin, George Ostrouchov +10
Background and Objective: Variables collected over time, or longitudinally, such as biologic measurements in electronic health records data, are not simple to summarize with a sing…
Question-Answering System Extracts Information on Injection Drug Use from Clinical Notes
Maria Mahbub, Ian Goethert, Ioana Danciu +9
Background: Injection drug use (IDU) is a dangerous health behavior that increases mortality and morbidity. Identifying IDU early and initiating harm reduction interventions can be…
Effects of Real-Life Traffic Sign Alteration on YOLOv7- an Object Recognition Model
Farhin Farhad Riya, Shahinul Hoque, Md Saif Hassan Onim +3
The widespread adoption of Image Processing has propelled Object Recognition (OR) models into essential roles across various applications, demonstrating the power of AI and enablin…
BioADAPT-MRC: Adversarial Learning-based Domain Adaptation Improves Biomedical Machine Reading Comprehension Task
Maria Mahbub, Sudarshan Srinivasan, Edmon Begoli +1
Biomedical machine reading comprehension (biomedical-MRC) aims to comprehend complex biomedical narratives and assist healthcare professionals in retrieving information from them.…