Empirical Study of Mix-based Data Augmentation Methods in Physiological Time Series Data

18 September 2023

Papers citing "Empirical Study of Mix-based Data Augmentation Methods in Physiological Time Series Data"

4 / 4 papers shown

Title
SpecMix : A Mixed Sample Data Augmentation method for Training withTime-Frequency Domain Features Gwantae Kim D. Han Hanseok Ko 47 42 0 06 Aug 2021
MixSpeech: Data Augmentation for Low-resource Automatic Speech Recognition Linghui Meng Jin Xu Xu Tan Jindong Wang Tao Qin Bo Xu VLM 64 77 0 25 Feb 2021
InceptionTime: Finding AlexNet for Time Series Classification Hassan Ismail Fawaz Benjamin Lucas Germain Forestier Charlotte Pelletier Daniel F. Schmidt J. Weber Geoffrey I. Webb L. Idoumghar Pierre-Alain Muller Franccois Petitjean AI4TS 87 1,072 0 11 Sep 2019
Time Series Anomaly Detection Using Convolutional Neural Networks and Transfer Learning Tailai Wen Roy Keyes AI4TS 39 125 0 31 May 2019