Organized Sessions
OS01 -- Modern AI/ML for Clinical Evidence and Decision Support
Organized and chaired by Liangyuan Hu (Rutgers University)
Room A102
Bayesian Nonparametric Inference for Dynamic Treatment Strategies with Missing Time-Varying Covariates
Jason Roy (Rutgers University)
Advancing Clinical Research with Large-Scale EHR Data and Machine Learning
Yi Guo (University of Florida)
The Eidos in the Echo: Finding a Blessing in LLM Hallucination
Sijian Wang (Rutgers University)
Predicting Expert MRI Usability Decisions from Acquisition Metadata Alone: A Calibrated, Interpretable Model in ADNI3
Tia Warrick (Juniata College)
OS02 -- Advances in mixture modeling and model-based clustering
Organized and chaired by Yana Melnykov (University of Alabama)
Room A110
Latent covariance clustering for few-shot classification in trace data analysis
Semhar Michael (South Dakota State University)
A State-Restricted Hidden Markov Model for Authorship Attribution of the Deutero-Pauline and Pastoral Epistles
Shuchismita Sarkar (Bowling Green State University)
On fuzzy classification indices and their variability assessment
Volodymyr Melnykov (University of Alabama)
transDA: an R Package for Transformation Discriminant Analysis
Yana Melnykov (University of Alabama)