Deep Semi-Supervised Learning for Time Series Classification

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Deep Semi-Supervised Learning for Time Series Classification

6 February 2021

Jann Goschenhofer

Rasmus Hvingelby

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Papers citing "Deep Semi-Supervised Learning for Time Series Classification"

15 / 15 papers shown

Title
Self-training with Noisy Student improves ImageNet classification Qizhe Xie Minh-Thang Luong Eduard H. Hovy Quoc V. Le NoLa 307 2,387 0 11 Nov 2019
RandAugment: Practical automated data augmentation with a reduced search space E. D. Cubuk Barret Zoph Jonathon Shlens Quoc V. Le MQ 234 3,490 0 30 Sep 2019
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 170 1,108 0 11 Sep 2019
Optuna: A Next-generation Hyperparameter Optimization Framework Takuya Akiba Shotaro Sano Toshihiko Yanase Takeru Ohta Masanori Koyama 663 5,808 0 25 Jul 2019
Wearable-based Parkinson's Disease Severity Monitoring using Deep Learning Jann Goschenhofer Franz MJ Pfister K. Yuksel B. Bischl U. Fietzek Janek Thomas OOD 34 20 0 24 Apr 2019
Label Propagation for Deep Semi-supervised Learning Ahmet Iscen Giorgos Tolias Yannis Avrithis Ondřej Chum SSL 102 623 0 09 Apr 2019
The UCR Time Series Archive Hoang Anh Dau A. Bagnall Kaveh Kamgar Chin-Chia Michael Yeh Yan Zhu Shaghayegh Gharghabi C. Ratanamahatana Eamonn Keogh 64 831 0 17 Oct 2018
Deep learning for time series classification: a review Hassan Ismail Fawaz Germain Forestier J. Weber L. Idoumghar Pierre-Alain Muller AI4TS AI4CE 323 2,698 0 12 Sep 2018
Semi-Supervised Convolutional Neural Networks for Human Activity Recognition Mingzhi Zeng Tong Yu Tianlin Li Le T. Nguyen Ole J. Mengshoel Ian Lane SSL HAI 54 62 0 22 Jan 2018
Smooth Neighbors on Teacher Graphs for Semi-supervised Learning Yucen Luo Jun Zhu Mengxi Li Yong Ren Bo Zhang 63 242 0 01 Nov 2017
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 83 677 0 02 Jun 2017
Virtual Adversarial Training: A Regularization Method for Supervised and Semi-Supervised Learning Takeru Miyato S. Maeda Masanori Koyama S. Ishii GAN 148 2,734 0 13 Apr 2017
Temporal Ensembling for Semi-Supervised Learning S. Laine Timo Aila UQCV 185 2,560 0 07 Oct 2016
Hyperband: A Novel Bandit-Based Approach to Hyperparameter Optimization Lisha Li Kevin Jamieson Giulia DeSalvo Afshin Rostamizadeh Ameet Talwalkar 227 2,329 0 21 Mar 2016
Semi-Supervised Learning with Ladder Networks Antti Rasmus Harri Valpola Mikko Honkala Mathias Berglund T. Raiko SSL 96 1,372 0 09 Jul 2015