Search Results for author: Ye Ye

Found 5 papers, 1 papers with code

Online Transfer Learning for RSV Case Detection

no code implementations3 Feb 2024 Yiming Sun, Yuhe Gao, Runxue Bao, Gregory F. Cooper, Jessi Espino, Harry Hochheiser, Marian G. Michaels, John M. Aronis, Chenxi Song, Ye Ye

Transfer learning has become a pivotal technique in machine learning and has proven to be effective in various real-world applications.

Transfer Learning

A Survey of Heterogeneous Transfer Learning

1 code implementation12 Oct 2023 Runxue Bao, Yiming Sun, Yuhe Gao, Jindong Wang, Qiang Yang, Haifeng Chen, Zhi-Hong Mao, Ye Ye

These methods typically presuppose identical feature spaces and label spaces in both domains, known as homogeneous transfer learning, which, however, is not always a practical assumption.

Transfer Learning

Prediction of COVID-19 Patients' Emergency Room Revisit using Multi-Source Transfer Learning

no code implementations29 Jun 2023 Yuelyu Ji, Yuhe Gao, Runxue Bao, Qi Li, Disheng Liu, Yiming Sun, Ye Ye

Results showed that the Multi-DANN models outperformed the Single-DANN models and baseline models in predicting revisits of COVID-19 patients to the ER within 7 days after discharge.

Transfer Learning

Deep Transfer Learning for Infectious Disease Case Detection Using Electronic Medical Records

no code implementations8 Mar 2021 Ye Ye, Andrew Gu

During an infectious disease pandemic, it is critical to share electronic medical records or models (learned from these records) across regions.

Transfer Learning

Change-point Detection Methods for Body-Worn Video

no code implementations20 Oct 2016 Stephanie Allen, David Madras, Ye Ye, Greg Zanotti

Body-worn video (BWV) cameras are increasingly utilized by police departments to provide a record of police-public interactions.

Change Point Detection Scene Classification

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