3 citations · 10 across the 5 of their papers we have counts for
6 papers
An Interpretable Framework for Drug-Target Interaction with Gated Cross Attention
Yeachan Kim, Bonggun Shin
In silico prediction of drug-target interactions (DTI) is significant for drug discovery because it can largely reduce timelines and costs in the drug development process. Specific…
Controlled Molecule Generator for Optimizing Multiple Chemical Properties
Bonggun Shin, Sungsoo Park, JinYeong Bak +1
Generating a novel and optimized molecule with desired chemical properties is an essential part of the drug discovery process. Failure to meet one of the required properties can fr…
Self-Attention Based Molecule Representation for Predicting Drug-Target Interaction
Bonggun Shin, Sungsoo Park, Keunsoo Kang +1
Predicting drug-target interactions (DTI) is an essential part of the drug discovery process, which is an expensive process in terms of time and cost. Therefore, reducing DTI cost…
Multimodal Ensemble Approach to Incorporate Various Types of Clinical Notes for Predicting Readmission
Bonggun Shin, Julien Hogan, Andrew B. Adams +3
Electronic Health Records (EHRs) have been heavily used to predict various downstream clinical tasks such as readmission or mortality. One of the modalities in EHRs, clinical notes…
The Pupil Has Become the Master: Teacher-Student Model-Based Word Embedding Distillation with Ensemble Learning
Bonggun Shin, Hao Yang, Jinho D. Choi
Recent advances in deep learning have facilitated the demand of neural models for real applications. In practice, these applications often need to be deployed with limited resource…
Classification of Radiology Reports Using Neural Attention Models
Bonggun Shin, Falgun H. Chokshi, Timothy Lee +1
The electronic health record (EHR) contains a large amount of multi-dimensional and unstructured clinical data of significant operational and research value. Distinguished from pre…