SimPSI: A Simple Strategy to Preserve Spectral Information in Time Series Data Augmentation

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SimPSI: A Simple Strategy to Preserve Spectral Information in Time Series Data Augmentation

10 December 2023

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Papers citing "SimPSI: A Simple Strategy to Preserve Spectral Information in Time Series Data Augmentation"

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Title
ReFocus: Reinforcing Mid-Frequency and Key-Frequency Modeling for Multivariate Time Series Forecasting Guoqi Yu Yaoming Li Juncheng Wang Xiaoyu Guo Angelica I. Aviles-Rivero Tong Yang Shujun Wang AI4TS 111 1 0 24 Feb 2025
LDGCN: An Edge-End Lightweight Dual GCN Based on Single-Channel EEG for Driver Drowsiness Monitoring Jingwei Huang Chuansheng Wang Jiayan Huang Haoyi Fan Antoni Grau Fuquan Zhang 81 0 0 08 Jul 2024
EMC2-Net: Joint Equalization and Modulation Classification based on Constellation Network Hyungyul Ryu Junil Choi 59 3 0 20 Mar 2023
Unsupervised Time-Series Representation Learning with Iterative Bilinear Temporal-Spectral Fusion Ling Yang linda Qiao AI4TS 143 126 0 08 Feb 2022
When Do Contrastive Learning Signals Help Spatio-Temporal Graph Forecasting? Xu Liu Yuxuan Liang Chao Huang Yu Zheng Bryan Hooi Roger Zimmermann AI4TS 79 66 0 26 Aug 2021
Time-Series Representation Learning via Temporal and Contextual Contrasting Emadeldeen Eldele Mohamed Ragab Zhenghua Chen Min-man Wu C. Kwoh Xiaoli Li Cuntai Guan AI4TS 104 518 0 26 Jun 2021
SSMix: Saliency-Based Span Mixup for Text Classification Soyoung Yoon Gyuwan Kim Kyumin Park 78 74 0 15 Jun 2021
Unsupervised Representation Learning for Time Series with Temporal Neighborhood Coding S. Tonekaboni Danny Eytan Anna Goldenberg CML SSL AI4TS 173 298 0 01 Jun 2021
KeepAugment: A Simple Information-Preserving Data Augmentation Approach Chengyue Gong Dilin Wang Meng Li Vikas Chandra Qiang Liu 91 116 0 23 Nov 2020
An Empirical Survey of Data Augmentation for Time Series Classification with Neural Networks Brian Kenji Iwana S. Uchida AI4TS 92 506 0 31 Jul 2020
AugMix: A Simple Data Processing Method to Improve Robustness and Uncertainty Dan Hendrycks Norman Mu E. D. Cubuk Barret Zoph Justin Gilmer Balaji Lakshminarayanan OOD UQCV 251 1,314 0 05 Dec 2019
Fast Deep Learning for Automatic Modulation Classification Sharan Ramjee Shengtai Ju Diyu Yang Xiaoyu Liu Aly El Gamal Yonina C. Eldar 70 147 0 16 Jan 2019
Data Augmentation of Wearable Sensor Data for Parkinson's Disease Monitoring using Convolutional Neural Networks T. T. Um Franz MJ Pfister Daniel C. Pichler Satoshi Endo Muriel Lang Sandra Hirche U. Fietzek Dana Kulić 126 691 0 02 Jun 2017
Time Series Classification from Scratch with Deep Neural Networks: A Strong Baseline Zhiguang Wang Weizhong Yan Tim Oates AI4TS 167 1,671 0 20 Nov 2016
DeepSense: A Unified Deep Learning Framework for Time-Series Mobile Sensing Data Processing Shuochao Yao Shaohan Hu Yiran Zhao Aston Zhang Tarek Abdelzaher HAI AI4TS 110 629 0 07 Nov 2016
Learning to Diagnose with LSTM Recurrent Neural Networks Zachary Chase Lipton David C. Kale Charles Elkan R. Wetzel 190 1,112 0 11 Nov 2015
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 2.6K 150,708 0 22 Dec 2014
Deep Inside Convolutional Networks: Visualising Image Classification Models and Saliency Maps Karen Simonyan Andrea Vedaldi Andrew Zisserman FAtt 343 7,344 0 20 Dec 2013