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02/25/2023
Medical visual question answering using joint self-supervised learning
Visual Question Answering (VQA) becomes one of the most active research ...
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05/06/2022
Latency Guarantee for Ubiquitous Intelligence in 6G: A Network Calculus Approach
With the gradual deployment of 5G and the continuous popularization of e...
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01/13/2021
Adversarial Sample Enhanced Domain Adaptation: A Case Study on Predictive Modeling with Electronic Health Records
With the successful adoption of machine learning on electronic health re...
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07/24/2020
Dynamic Knowledge Distillation for Black-box Hypothesis Transfer Learning
In real world applications like healthcare, it is usually difficult to b...
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04/30/2020
Unlocking the Power of Deep PICO Extraction: Step-wise Medical NER Identification
The PICO framework (Population, Intervention, Comparison, and Outcome) i...
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03/01/2019
Outcome-Driven Clustering of Acute Coronary Syndrome Patients using Multi-Task Neural Network with Attention
Cluster analysis aims at separating patients into phenotypically heterog...
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10/17/2018
Deep Diabetologist: Learning to Prescribe Hyperglycemia Medications with Hierarchical Recurrent Neural Networks
In healthcare, applying deep learning models to electronic health record...
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07/31/2017