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Browsing by Author Hong, Shenda
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Showing results 1 to 20 of 30
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Issue Date
Title
Author(s)
Feb-2023
Adaptive model training strategy for continuous classification of time series
Sun, Chenxi
;
Li, Hongyan
;
Song, Moxian
;
Cai, Derun
;
Zhang, Baofeng
;
Hong, Shenda
Dec-2020
Addressing Noise and Skewness in Interpretable Health-Condition Assessment by Learning Model Confidence
Zhou, Yuxi
;
Hong, Shenda
;
Shang, Junyuan
;
Wu, Meng
;
Wang, Qingyun
;
Li, Hongyan
;
Xie, Junqing
2021
AID: Active Distillation Machine to Leverage Pre-Trained Black-Box Models in Private Data Settings
Hoang, Trong Nghia
;
Hong, Shenda
;
Xiao, Cao
;
Low, Bryan
;
Sun, Jimeng
Feb-2021
Artificial-Intelligence-Enhanced Mobile System for Cardiovascular Health Management
Fu, Zhaoji
;
Hong, Shenda
;
Zhang, Rui
;
Du, Shaofu
Aug-2022
Building and training a deep spiking neural network for ECG classification
Feng, Yifei
;
Geng, Shijia
;
Chu, Jianjun
;
Fu, Zhaoji
;
Hong, Shenda
Jan-2022
Classifying vaguely labeled data based on evidential fusion
Song, Moxian
;
Sun, Chenxi
;
Cai, Derun
;
Hong, Shenda
;
Li, Hongyan
2019
Combining deep neural networks and engineered features for cardiac arrhythmia detection from ECG recordings
Hong, Shenda
;
Zhou, Yuxi
;
Wu, Meng
;
Shang, Junyuan
;
Wang, Qingyun
;
Li, Hongyan
;
Xie, Junqing
10-Feb-2023
Continuous diagnosis and prognosis by controlling the update process of deep neural networks
Sun, Chenxi
;
Li, Hongyan
;
Song, Moxian
;
Cai, Derun
;
Zhang, Baofeng
;
Hong, Shenda
Sep-2022
DLSA: Semi-supervised partial label learning via dependence-maximized label set assignment
Song, Moxian
;
Li, Hongyan
;
Sun, Chenxi
;
Cai, Derun
;
Hong, Shenda
16-Nov-2022
Estimating critical values from electrocardiogram using a deep ordinal convolutional neural network
Wei, Guodong
;
Di, Xinxin
;
Zhang, Wenrui
;
Geng, Shijia
;
Zhang, Deyun
;
Wang, Kai
;
Fu, Zhaoji
;
Hong, Shenda
2017
Event2vec: Learning representations of events on temporal sequences
Hong, Shenda
;
Wu, Meng
;
Li, Hongyan
;
Wu, Zhengwu
2017
Finding the typical communication black hole in big data environment
Zhang, Jinbo
;
Hong, Shenda
;
Lin, Yiyong
;
Mou, Yanchao
;
Li, Hongyan
2014
Finding Vacant Taxis Using Large Scale GPS Traces
Qiu, Zhen
;
Li, Hongyan
;
Hong, Shenda
;
Lin, Yiyong
;
Fan, Nana
;
Ou, Gaoyan
;
Wang, Tengjiao
;
Fan, Lilue
Mar-2021
Gated temporal convolutional neural network and expert features for diagnosing and explaining physiological time series: A case study on heart rates
Hong, Shenda
;
Wang, Can
;
Fu, Zhaoji
2022
Intra-Inter Subject Self-Supervised Learning for Multivariate Cardiac Signals
Lan, Xiang
;
Ng, Dianwen
;
Hong, Shenda
;
Feng, Mengling
5-Dec-2020
Knowledge-shot learning: An interpretable deep model for classifying imbalanced electrocardiography data
Chou, Yen-hsiu
;
Hong, Shenda
;
Zhou, Yuxi
;
Shang, Junyuan
;
Song, Moxian
;
Li, Hongyan
19-Jun-2020
Life negative events and depressive symptoms: the China longitudinal ageing social survey
Wang, Zhenjie
;
Yang, Hanmo
;
Zheng, Pianpian
;
Liu, Bei
;
Guo, Zhanyuan
;
Geng, Shen
;
Hong, Shenda
Jun-2022
Measuring expertise in identifying interictal epileptiform discharges
Harid, Nitish M.
;
Jing, Jin
;
Hogan, Jacob
;
Nascimento, Fabio A.
;
Ouyang, An
;
Zheng, Wei-Long
;
Ge, Wendong
;
Zafar, Sahar F.
;
Kim, Jennifer A.
;
Alice, D. Lam
;
Herlopian, Aline
;
Maus, Douglas
;
Karakis, Ioannis
;
Ng, Marcus
;
Hong, Shenda
;
Yu, Zhu
;
Kaplan, Peter W.
;
Cash, Sydney
;
Shafi, Mouhsin
;
Martz, Gabriel
;
Halford, Jonathan J.
;
Westover, Michael Brandon
Sep-2022
An open algorithm to pre-process free text self-reported medications data in UK biobank
Xie, Junqing
;
Hong, Shenda
;
Delmestri, Antonella
;
Khalid, Sara
;
Strauss, Victoria Y.
;
Collins, Gary
;
Prieto-Alhambra, Daniel
Jul-2020
Opportunities and challenges of deep learning methods for electrocardiogram data: A systematic review
Hong, Shenda
;
Zhou, Yuxi
;
Shang, Junyuan
;
Xiao, Cao
;
Sun, Jimeng
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