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05/30/2023
FRAMM: Fair Ranking with Missing Modalities for Clinical Trial Site Selection
Despite many efforts to address the disparities, the underrepresentation...
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05/02/2023
DeCom: Deep Coupled-Factorization Machine for Post COVID-19 Respiratory Syncytial Virus Prediction with Nonpharmaceutical Interventions Awareness
Respiratory syncytial virus (RSV) is one of the most dangerous respirato...
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04/13/2022
Clinical trial site matching with improved diversity using fair policy learning
The ongoing pandemic has highlighted the importance of reliable and effi...
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01/31/2022
JULIA: Joint Multi-linear and Nonlinear Identification for Tensor Completion
Tensor completion aims at imputing missing entries from a partially obse...
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05/11/2021
Multi-version Tensor Completion for Time-delayed Spatio-temporal Data
Real-world spatio-temporal data is often incomplete or inaccurate due to...
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05/05/2021
Change Matters: Medication Change Prediction with Recurrent Residual Networks
Deep learning is revolutionizing predictive healthcare, including recomm...
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05/05/2021
SafeDrug: Dual Molecular Graph Encoders for Safe Drug Recommendations
Medication recommendation is an essential task of AI for healthcare. Exi...
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03/05/2021
SCRIB: Set-classifier with Class-specific Risk Bounds for Blackbox Models
Despite deep learning (DL) success in classification problems, DL classi...
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06/15/2020
Fast Graph Attention Networks Using Effective Resistance Based Graph Sparsification
The attention mechanism has demonstrated superior performance for infere...
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04/30/2020
SkipGNN: Predicting Molecular Interactions with Skip-Graph Networks
Molecular interaction networks are powerful resources for the discovery....
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04/23/2020
MolTrans: Molecular Interaction Transformer for Drug Target Interaction Prediction
Drug target interaction (DTI) prediction is a foundational task for in s...
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04/19/2020
DeepPurpose: a Deep Learning Based Drug Repurposing Toolkit
We present DeepPurpose, a deep learning toolkit for simple and efficient...
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07/01/2019
Predicting Treatment Initiation from Clinical Time Series Data via Graph-Augmented Time-Sensitive Model
Many computational models were proposed to extract temporal patterns fro...
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07/01/2019
