Representation and analysis of time-series data via deep embedding and visual exploration

被引:0
作者
Yixuan Zhou
Runfeng Jiang
Hongxing Qin
Haibo Hu
机构
[1] Chongqing University,School of Big Data and Software Engineering
[2] Chongqing University,College of Computer Science
来源
Journal of Visualization | 2023年 / 26卷
关键词
Visual analytics; Deep learning; Time-series data;
D O I
暂无
中图分类号
学科分类号
摘要
引用
收藏
页码:593 / 610
页数:17
相关论文
共 187 条
[1]  
Ahn Y(2019)Fairsight: visual analytics for fairness in decision making IEEE Trans Vis Comput Gr 26 1086-1095
[2]  
Lin Y-R(2020)Time-varying volume visualization: a survey J Vis 23 745-761
[3]  
Bai Z(2017)Comparing visual-interactive labeling with active learning: an experimental study IEEE Trans Vis Comput Gr 24 298-308
[4]  
Tao Y(2020)Analyzing the noise robustness of deep neural networks IEEE Trans Vis Comput Gr 27 3289-3304
[5]  
Lin H(2020)Oodanalyzer: interactive analysis of out-of-distribution samples IEEE Trans Vis Comput Gr 27 3335-3349
[6]  
Bernard J(2009)Similarity-based classification: concepts and algorithms J Mach Learn Res 10 747-776
[7]  
Hutter M(2019)The ucr time series archive IEEE/CAA J Autom Sin 6 1293-1305
[8]  
Zeppelzauer M(2020)A visual analytics framework for reviewing multivariate time-series data with dimensionality reduction IEEE Trans Vis Comput Gr 27 1601-1611
[9]  
Fellner D(2021)Interactive dimensionality reduction for comparative analysis IEEE Trans Vis Comput Gr 28 758-768
[10]  
Sedlmair M(2018)Comparing similarity perception in time series visualizations IEEE Trans Vis Comput Gr 25 523-533