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Time series classification (TSC), the problem of predicting class labels of time series, has been around for decades within the community of data mining and machine learning, and found many important applications such as biomedical engineering and clinical prediction.
Using dynamic time warping to find patterns in time series
D. J. Berndt and J. Clifford · 1994
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Fast subsequence matching in time-series databases
C. Faloutsos, M. Ranganathan, and Y. Manolopoulos · 1994
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A wavelet tour of signal processing
S. Mallat · 1999
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Statistical comparisons of classifiers over multiple data sets
J. Demšar · 2006
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A fast learning algorithm for deep belief nets
G. E. Hinton, S. Osindero, and Y.-W. Teh · 2006
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Learning deep architectures for ai
Y. Bengio · 2009
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Unsupervised feature learning for audio classification using convolutional deep belief networks
H. Lee, P. Pham, Y. Largman, and A. Y. Ng · 2009
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Deep machine learning-a new frontier in artificial intelligence research [research frontier]
I. Arel, D. C. Rose, and T. P. Karnowski · 2010
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Theano: a cpu and gpu math expression compiler
J. Bergstra, O. Breuleux, F. Bastien, P. Lamblin, R. Pascanu, G. Desjardins, J. Turian, D. Warde-Farley, and Y. Bengio · 2010
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A brief survey on sequence classification
Z. Xing, J. Pei, and E. Keogh · 2010
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Imagenet classification with deep convolutional neural networks
A. Krizhevsky, I. Sutskever, and G. E. Hinton · 2012
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Multi-scale convolutional neural networks for natural scene license plate detection
J. Li, C. Niu, and M. Fan · 2012
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A shapelet transform for time series classification
J. Lines, L. M. Davis, J. Hills, and A. Bagnall · 2012
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An integrated data mining approach to real-time clinical monitoring and deterioration warning
Y. Mao, W. Chen, Y. Chen, C. Lu, M. Kollef, and T. Bailey · 2012
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Searching and mining trillions of time series subsequences under dynamic time warping
T. Rakthanmanon, B. Campana, A. Mueen, G. Batista, B. Westover, Q. Zhu, J. Zakaria, and E. Keogh · 2012
Cited alongside, same era.
A bag-of-features framework to classify time series
M. G. Baydogan, G. Runger, and E. Tuv · 2013
Cited alongside, same era.
Body temperature patterns as a predictor of hospital-acquired sepsis in afebrile adult intensive care unit patients: a case-control study
Towards time series classification without human preprocessing
P. Schäfer · 2014
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Time series classification using multi-channels deep convolutional neural networks
Y. Zheng, Q. Liu, E. Chen, Y. Ge, and J. L. Zhao · 2014
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The ucr time series classification archive, July 2015
Y. Chen, E. Keogh, B. Hu, N. Begum, A. Bagnall, A. Mueen, and G. Batista · 2015
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Time series classification with ensembles of elastic distance measures
J. Lines and A. Bagnall · 2015
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k-shape: Efficient and accurate clustering of time series
J. Paparrizos and L. Gravano · 2015
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The boss is concerned with time series classification in the presence of noise
P. Schäfer · 2015
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A. Drewry, B. Fuller, T. Bailey, and R. Hotchkiss · 2013
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Learning deep physiological models of affect
H. P. Martinez, Y. Bengio, and G. N. Yannakakis · 2013
Cited alongside, same era.
Fast shapelets: A scalable algorithm for discovering time series shapelets
T. Rakthanmanon and E. Keogh · 2013
Cited alongside, same era.
Sax-vsm: Interpretable time series classification using sax and vector space model
P. Senin and S. Malinchik · 2013
Cited alongside, same era.
Learning time-series shapelets
J. Grabocka, N. Schilling, M. Wistuba, and L. Schmidt-Thieme · 2014
Cited alongside, same era.
Time-series classification with cote: The collective of transformation-based ensembles
A. Bagnall, J. Lines, J. Hills, and A. Bostrom
Cited in the paper.
Deep neural networks for time series prediction with applications in ultra-short-term wind forecasting
M. Dalto
Cited in the paper.
Scalable time series classification
P. Schäfer · 2015
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Facenet: A unified embedding for face recognition and clustering
F. Schroff, D. Kalenichenko, and J. Philbin · 2015
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Going deeper with convolutions
C. Szegedy, W. Liu, Y. Jia, P. Sermanet, S. Reed, D. Anguelov, D. Erhan, V. Vanhoucke, and A. Rabinovich · 2015
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Convolutional nonlinear neighbourhood components analysis for time series classification
Y. Zheng, Q. Liu, E. Chen, J. L. Zhao, L. He, and G. Lv · 2015
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