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Missing data imputation and classification of small sample missing time series data based on gradient penalized adversarial multi-task learning
期刊论文
APPLIED INTELLIGENCE, 2024, 页码: 23
作者:
Liu, Jing-Jing
;
Yao, Jie-Peng
;
Liu, Jin-Hang
;
Wang, Zhong-Yi
;
Huang, Lan
收藏
  |  
浏览/下载:1/0
  |  
提交时间:2024/03/27
Missing time series data
Small samples
Imputation
Classification
Gradient penalized adversarial Multitasking
A differentially private nonnegative matrix factorization for recommender system
期刊论文
Information Sciences, 2022, 卷号: 592, 页码: 21-35
作者:
Ran, Xun
;
Wang, Yong
;
Zhang, Leo Yu
;
Ma, Jun
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  |  
浏览/下载:33/0
  |  
提交时间:2022/04/21
Benchmarking
Collaborative filtering
Economic and social effects
Information services
Large dataset
Matrix algebra
Matrix factorization
Privacy-preserving techniques
Differential privacies
Factorization methods
Filtering problems
Imputation
Non-negativity
Nonnegative matrix factorization
Objective functions
Personalized information services
Polynomial expression
User data
Semiparametric transformation models of survival-out-of-hospital
期刊论文
STATISTICS AND ITS INTERFACE, 2022, 卷号: 15, 期号: 4, 页码: 487-501
作者:
Sun, Xiaowei
;
Zeng, Cheng
;
Sun, Liuquan
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  |  
浏览/下载:11/0
  |  
提交时间:2022/04/29
Estimating equations
Multiple imputation
Recurrent event
Terminal event
Transformation model
Survival-out-of-hospital
Invited Commentary: Estimation and Bounds Under Data Fusion Comment
期刊论文
AMERICAN JOURNAL OF EPIDEMIOLOGY, 2021, 页码: 5
作者:
Miao, Wang
;
Li, Wei
;
Hu, Wenjie
;
Wang, Ruoyu
;
Geng, Zhi
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  |  
浏览/下载:6/0
  |  
提交时间:2022/06/21
bounds
data fusion
epidemiologic methods
imputation
A beyond multiple robust approach for missing response problem
期刊论文
COMPUTATIONAL STATISTICS & DATA ANALYSIS, 2021, 卷号: 155, 页码: 13
作者:
Wang, Qihua
;
Su, Miaomiao
;
Wang, Ruoyu
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  |  
浏览/下载:98/0
  |  
提交时间:2021/04/26
Model misspecification
Curse of dimension
Inverse probability weight
Imputation
Spatiotemporal estimation of satellite-borne and ground-level NO2 using full residual deep networks
期刊论文
REMOTE SENSING OF ENVIRONMENT, 2021, 卷号: 254, 页码: 22
作者:
Li, Lianfa
;
Wu, Jiajie
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  |  
浏览/下载:27/0
  |  
提交时间:2021/03/15
OMI-NO2 columns
Imputation of missing values
Full residual deep network
Bagging
Ground-level NO2 estimation
Traffic and land-use variables
Uncertainty
Energy Consumption Prediction of a CNC Machining Process With Incomplete Data
期刊论文
IEEE/CAA Journal of Automatica Sinica, 2021, 卷号: 8, 期号: 5, 页码: 987-1000
作者:
Jian Pan
;
Congbo Li
;
Ying Tang
;
Wei Li
;
Xiaoou Li
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  |  
浏览/下载:54/0
  |  
提交时间:2021/04/09
Energy consumption prediction
incomplete data
generative adversarial imputation nets (GAIN)
gene expression programming (GEP)
Imputing single-cell RNA-seq data by considering cell heterogeneity and prior expression of dropouts
期刊论文
JOURNAL OF MOLECULAR CELL BIOLOGY, 2021, 卷号: 13, 期号: 1, 页码: 29-40
作者:
Zhang, Lihua
;
Zhang, Shihua
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  |  
浏览/下载:14/0
  |  
提交时间:2021/10/26
single-cell RNA-seq
dropout
imputation
low-rank
systems biology
Learning a Credal Classifier With Optimized and Adaptive Multiestimation for Missing Data Imputation
期刊论文
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS, 2021, 卷号: 52, 期号: 7, 页码: 4092-4104
作者:
Zhang, Zuo-Wei
;
Tian, Hong-Peng
;
Yan, Ling-Zhi
;
Martin, Arnaud
;
Zhou, Kuang
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  |  
浏览/下载:4/0
  |  
提交时间:2022/03/01
Training
Reliability
Estimation
Reliability theory
Software reliability
Evidence theory
Optimization methods
Credal classification
evidence theory (ET)
missing data
missing values
multiple imputation
Traffic Flow Imputation Using Parallel Data and Generative Adversarial Networks
期刊论文
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2020, 卷号: 21, 期号: 4, 页码: 1624-1630
作者:
Chen, Yuanyuan
;
Lv, Yisheng
;
Wang, Fei-Yue
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  |  
浏览/下载:23/0
  |  
提交时间:2020/06/02
Generators
Data models
Gallium nitride
Generative adversarial networks
Training
Loss measurement
Biological system modeling
Parallel data
generative adversarial networks
traffic flow imputation
data augmentation
deep learning
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