15 citations · 49 across the 7 of their papers we have counts for
7 papers
Comparative Performance Evaluation of Large Language Models for Extracting Molecular Interactions and Pathway Knowledge
Gilchan Park, Byung-Jun Yoon, Xihaier Luo +3
Background: Identification of the interactions and regulatory relations between biomolecules play pivotal roles in understanding complex biological systems and the mechanisms under…
Comprehensive analysis of gene expression profiles to radiation exposure reveals molecular signatures of low-dose radiation response
Xihaier Luo, Sean McCorkle, Gilchan Park +6
There are various sources of ionizing radiation exposure, where medical exposure for radiation therapy or diagnosis is the most common human-made source. Understanding how gene exp…
Adaptive Group Testing with Mismatched Models
Mingzhou Fan, Byung-Jun Yoon, Francis J. Alexander +2
Accurate detection of infected individuals is one of the critical steps in stopping any pandemic. When the underlying infection rate of the disease is low, testing people in groups…
Robust Importance Sampling for Error Estimation in the Context of Optimal Bayesian Transfer Learning
Omar Maddouri, Xiaoning Qian, Francis J. Alexander +2
Classification has been a major task for building intelligent systems as it enables decision-making under uncertainty. Classifier design aims at building models from training data…
Geometric Affinity Propagation for Clustering with Network Knowledge
Omar Maddouri, Xiaoning Qian, Byung-Jun Yoon
Clustering data into meaningful subsets is a major task in scientific data analysis. To date, various strategies ranging from model-based approaches to data-driven schemes, have be…
Quantifying the multi-objective cost of uncertainty
Byung-Jun Yoon, Xiaoning Qian, Edward R. Dougherty
Various real-world applications involve modeling complex systems with immense uncertainty and optimizing multiple objectives based on the uncertain model. Quantifying the impact of…
Optimal Experimental Design for Uncertain Systems Based on Coupled Differential Equations
Youngjoon Hong, Bongsuk Kwon, Byung-Jun Yoon
We consider the optimal experimental design problem for an uncertain Kuramoto model, which consists of N interacting oscillators described by coupled ordinary differential equation…