典型文献
N on-sal ient region erasure for time series augmentation
文献摘要：
1 Introduction
Time series augmentation is an essential approach to solve the overfitting problem on the time series classification(TSC)task[1,2].Although existing approaches perform better in mitigating this problem,none of them focus on protecting saliency regions on time series.The key informative shapelets contained in these regions are the core basis for distinguishing categories(e.g.,upward spikes in ECG and high amplitude in Sensor).If the key informative shapelets are destroyed on the augmented time series,it ultimately leads to its inability to guide the model to improve the classification performance.
文献关键词：
中图分类号：
作者姓名：
Pin LIU;Xiaohui GUO;Bin SHI;Rui WANG;Tianyu WO;Xudong LIU
作者机构：
State Key Lab of Software Development Environment(SKLSDE),Beihang University,Beijing 100191,China;Beijing Advanced Innovation Center for Big Data and Brain Computing(BDBC),Beijing 100191,China;Hangzhou Innovation Institute,Beihang University,Hangzhou 310052,China;School of Computer Science and Technology,Xi'an Jiaotong University,Xi'an 710049,China
文献出处：
引用格式：
[1]Pin LIU;Xiaohui GUO;Bin SHI;Rui WANG;Tianyu WO;Xudong LIU-.N on-sal ient region erasure for time series augmentation)[J].计算机科学前沿,2022(06):187-189
A类：
Time
B类：
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AB值：
0.609865
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