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We present Earliness-Aware Deep Convolutional Networks (EA-ConvNets), an end-to-end deep learning framework, for early classification of time series data.
Using dynamic time warping to find patterns in time series
Donald J Berndt and James Clifford · 1994
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Fast subsequence matching in time-series databases
Christos Faloutsos, Mudumbai Ranganathan, and Yannis Manolopoulos · 1994
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Boosting interval-based literals: Variable length and early classification
Grupo de Sistemas Inteligentes · 2004
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Early recognition and prediction of gestures
Akihiro Mori, Seiichi Uchida, Ryo Kurazume, Rin-ichiro Taniguchi, Tsutomu Hasegawa, and Hiroaki Sakoe · 2006
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Early recognition of sequential patterns by classifier combination
Seiichi Uchida and Kazuma Amamoto · 2008
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Time series shapelets: a new primitive for data mining
Lexiang Ye and Eamonn Keogh · 2009
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A brief survey on sequence classification
Zhengzheng Xing, Jian Pei, and Eamonn Keogh · 2010
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Torch7: A matlab-like environment for machine learning
Ronan Collobert, Koray Kavukcuoglu, and Clément Farabet · 2011
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Early classification of network traffic through multi-classification
Alberto Dainotti, Antonio Pescapé, and Carlo Sansone · 2011
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Identifying predictive multi-dimensional time series motifs: an application to severe weather prediction
Amy McGovern, Derek H Rosendahl, Rodger A Brown, and Kelvin K Droegemeier · 2011
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Extracting interpretable features for early classification on time series
Zhengzheng Xing, Jian Pei, S Yu Philip, and Ke Wang · 2011
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Early classification of multivariate time series using a hybrid hmm/svm model
Mohamed F Ghalwash, Dušan Ramljak, and Zoran Obradović · 2012
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Imagenet classification with deep convolutional neural networks
Alex Krizhevsky, Ilya Sutskever, and Geoffrey E Hinton · 2012
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An integrated data mining approach to real-time clinical monitoring and deterioration warning
Yi Mao, Wenlin Chen, Yixin Chen, Chenyang Lu, Marin Kollef, and Thomas Bailey · 2012
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Lecture 6.5-rmsprop: Divide the gradient by a running average of its recent magnitude
T. Tieleman and G. E Hinton · 2012
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Early classification on time series
Zhengzheng Xing, Jian Pei, and S Yu Philip · 2012
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Time-sensitive classification of behavioral data
Shin Ando and Einoshin Suzuki · 2013
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Extraction of interpretable multivariate patterns for early diagnostics
Mohamed F Ghalwash, Vladan Radosavljevic, and Zoran Obradovic · 2013
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Classifying with confidence from incomplete information
Nathan Parrish, Hyrum S Anderson, Maya R Gupta, and Dun Yu Hsiao · 2013
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Utilizing temporal patterns for estimating uncertainty in interpretable early decision making
Mohamed F Ghalwash, Vladan Radosavljevic, and Zoran Obradovic · 2014
Early classification of time series as a non myopic sequential decision making problem
Asma Dachraoui, Alexis Bondu, and Antoine Cornuéjols · 2015
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Early classification on multivariate time series
Guoliang He, Yong Duan, Rong Peng, Xiaoyuan Jing, Tieyun Qian, and Lingling Wang · 2015
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Reliable early classification on multivariate time series with numerical and categorical attributes
Yu-Feng Lin, Hsuan-Hsu Chen, Vincent S Tseng, and Jian Pei · 2015
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Time series classification with ensembles of elastic distance measures
Jason Lines and Anthony Bagnall · 2015
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The boss is concerned with time series classification in the presence of noise
Patrick Schäfer · 2015
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Efficient object localization using convolutional networks
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Learning time-series shapelets
Josif Grabocka, Nicolas Schilling, Martin Wistuba, and Lars Schmidt-Thieme · 2014
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Early classification of ongoing observation
Kang Li, Sheng Li, and Yun Fu · 2014
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Learning ordered representations with nested dropout
Oren Rippel, Michael A Gelbart, and Ryan P Adams · 2014
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Lstm-based early recognition of motion patterns
Markus Weber, Marcus Liwicki, Didier Stricker, Christopher Scholzel, and Seiichi Uchida · 2014
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Time series classification using multi-channels deep convolutional neural networks
Yi Zheng, Qi Liu, Enhong Chen, Yong Ge, and J Leon Zhao · 2014
Cited alongside, same era.
Time-series classification with cote: the collective of transformation-based ensembles
Anthony Bagnall, Jason Lines, Jon Hills, and Aaron Bostrom · 2015
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Jonathan Tompson, Ross Goroshin, Arjun Jain, Yann LeCun, and Christoph Bregler · 2015
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Deep convolutional neural networks on multichannel time series for human activity recognition
Jian Bo Yang, Minh Nhut Nguyen, Phyo Phyo San, Xiao Li Li, and Shonali Krishnaswamy · 2015
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Character-level convolutional networks for text classification
Xiang Zhang, Junbo Zhao, and Yann LeCun · 2015
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Minimizing response time in time series classification
Shin Ando and Einoshin Suzuki · 2016
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Multi-scale convolutional neural networks for time series classification
Zhicheng Cui, Wenlin Chen, and Yixin Chen · 2016
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Efficient learning of timeseries shapelets
Lu Hou James T Kwok and Jacek M Zurada · 2016
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Reliable early classification of time series based on discriminating the classes over time
Usue Mori, Alexander Mendiburu, Eamonn Keogh, and Jose A Lozano · 2016
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Learning dtw-shapelets for time-series classification
Mit Shah, Josif Grabocka, Nicolas Schilling, Martin Wistuba, and Lars Schmidt-Thieme · 2016
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