5 papers
Taming the Real-world Complexities in CPT E/M Coding with Large Language Models
Islam Nassar, Yang Lin, Yuan Jin +8
Evaluation and Management (E/M) coding, under the Current Procedural Terminology (CPT) taxonomy, documents medical services provided to patients by physicians. Used primarily for b…
AutoGeTS: Knowledge-based Automated Generation of Text Synthetics for Improving Text Classification
Chenhao Xue, Yuanzhe Jin, Adrian Carrasco-Revilla +2
When developing text classification models for real world applications, one major challenge is the difficulty to collect sufficient data for all text classes. In this work, we addr…
VAR: Visual Analysis for Rashomon Set of Machine Learning Models' Performance
Yuanzhe Jin
Evaluating the performance of closely matched machine learning(ML) models under specific conditions has long been a focus of researchers in the field of machine learning. The Rasho…
TA3: Testing Against Adversarial Attacks on Machine Learning Models
Yuanzhe Jin, Min Chen
Adversarial attacks are major threats to the deployment of machine learning (ML) models in many applications. Testing ML models against such attacks is becoming an essential step f…
iGAiVA: Integrated Generative AI and Visual Analytics in a Machine Learning Workflow for Text Classification
Yuanzhe Jin, Adrian Carrasco-Revilla, Min Chen
In developing machine learning (ML) models for text classification, one common challenge is that the collected data is often not ideally distributed, especially when new classes ar…