6 citations · 9 across the 3 of their papers we have counts for
4 papers
Bayesian Optimization of 2D Echocardiography Segmentation
Son-Tung Tran, Joshua V. Stough, Xiaoyan Zhang +1
Bayesian Optimization (BO) is a well-studied hyperparameter tuning technique that is more efficient than grid search for high-cost, high-parameter machine learning problems. Echoca…
Attention-Gated Graph Convolutions for Extracting Drug Interaction Information from Drug Labels
Tung Tran, Ramakanth Kavuluru, Halil Kilicoglu
Preventable adverse events as a result of medical errors present a growing concern in the healthcare system. As drug-drug interactions (DDIs) may lead to preventable adverse events…
A Multi-Task Learning Framework for Extracting Drugs and Their Interactions from Drug Labels
Tung Tran, Ramakanth Kavuluru, Halil Kilicoglu
Preventable adverse drug reactions as a result of medical errors present a growing concern in modern medicine. As drug-drug interactions (DDIs) may cause adverse reactions, being a…
Neural Metric Learning for Fast End-to-End Relation Extraction
Tung Tran, Ramakanth Kavuluru
Relation extraction (RE) is an indispensable information extraction task in several disciplines. RE models typically assume that named entity recognition (NER) is already performed…