5 citations · 9 across the 4 of their papers we have counts for
4 papers
A Comparison of Decision Forest Inference Platforms from A Database Perspective
Hong Guan, Mahidhar Reddy Dwarampudi, Venkatesh Gunda +3
Decision forest, including RandomForest, XGBoost, and LightGBM, is one of the most popular machine learning techniques used in many industrial scenarios, such as credit card fraud…
A Bayesian Approach for Medical Inquiry and Disease Inference in Automated Differential Diagnosis
Hong Guan, Chitta Baral
We propose a Bayesian approach for both medical inquiry and disease inference, the two major phases in differential diagnosis. Unlike previous work that simulates data from given p…
COVID-19: Comparative Analysis of Methods for Identifying Articles Related to Therapeutics and Vaccines without Using Labeled Data
Mihir Parmar, Ashwin Karthik Ambalavanan, Hong Guan +3
Here we proposed an approach to analyze text classification methods based on the presence or absence of task-specific terms (and their synonyms) in the text. We applied this approa…
Robustly Pre-trained Neural Model for Direct Temporal Relation Extraction
Hong Guan, Jianfu Li, Hua Xu +1
Background: Identifying relationships between clinical events and temporal expressions is a key challenge in meaningfully analyzing clinical text for use in advanced AI application…