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Autowarp: Learning a Warping Distance from Unlabeled Time Series Using
  Sequence Autoencoders

Autowarp: Learning a Warping Distance from Unlabeled Time Series Using Sequence Autoencoders

23 October 2018
Abubakar Abid
James Zou
    AI4TS
ArXivPDFHTML

Papers citing "Autowarp: Learning a Warping Distance from Unlabeled Time Series Using Sequence Autoencoders"

13 / 13 papers shown
Title
DETECT: Deep Trajectory Clustering for Mobility-Behavior Analysis
DETECT: Deep Trajectory Clustering for Mobility-Behavior Analysis
Mingxuan Yue
Yaguang Li
Haoze Yang
Ritesh Ahuja
Yao-Yi Chiang
Cyrus Shahabi
39
32
0
03 Mar 2020
Clinically Meaningful Comparisons Over Time: An Approach to Measuring
  Patient Similarity based on Subsequence Alignment
Clinically Meaningful Comparisons Over Time: An Approach to Measuring Patient Similarity based on Subsequence Alignment
Dev Goyal
Z. Syed
Jenna Wiens
28
5
0
02 Mar 2018
Time Series Anomaly Detection; Detection of anomalous drops with limited
  features and sparse examples in noisy highly periodic data
Time Series Anomaly Detection; Detection of anomalous drops with limited features and sparse examples in noisy highly periodic data
Dominique T. Shipmon
Jason M. Gurevitch
Paolo Piselli
Stephen T. Edwards
AI4TS
31
131
0
11 Aug 2017
TimeNet: Pre-trained deep recurrent neural network for time series
  classification
TimeNet: Pre-trained deep recurrent neural network for time series classification
Pankaj Malhotra
T. Vishnu
Lovekesh Vig
Puneet Agarwal
Gautam M. Shroff
AI4TS
41
171
0
23 Jun 2017
Time Series Classification from Scratch with Deep Neural Networks: A
  Strong Baseline
Time Series Classification from Scratch with Deep Neural Networks: A Strong Baseline
Zhiguang Wang
Weizhong Yan
Tim Oates
AI4TS
60
1,646
0
20 Nov 2016
Modeling Time Series Similarity with Siamese Recurrent Networks
Modeling Time Series Similarity with Siamese Recurrent Networks
Wenjie Pei
David Tax
Laurens van der Maaten
AI4TS
46
52
0
15 Mar 2016
Learning to Diagnose with LSTM Recurrent Neural Networks
Learning to Diagnose with LSTM Recurrent Neural Networks
Zachary Chase Lipton
David C. Kale
Charles Elkan
R. Wetzel
62
1,102
0
11 Nov 2015
Semi-supervised Sequence Learning
Semi-supervised Sequence Learning
Andrew M. Dai
Quoc V. Le
SSL
109
1,232
0
04 Nov 2015
Review and Perspective for Distance Based Trajectory Clustering
Review and Perspective for Distance Based Trajectory Clustering
Philippe C. Besse
Brendan Guillouet
Jean-Michel Loubes
François Royer
25
47
0
20 Aug 2015
Distilling the Knowledge in a Neural Network
Distilling the Knowledge in a Neural Network
Geoffrey E. Hinton
Oriol Vinyals
J. Dean
FedML
246
19,523
0
09 Mar 2015
Unsupervised Learning of Video Representations using LSTMs
Unsupervised Learning of Video Representations using LSTMs
Nitish Srivastava
Elman Mansimov
Ruslan Salakhutdinov
SSL
115
2,588
0
16 Feb 2015
Sequence to Sequence Learning with Neural Networks
Sequence to Sequence Learning with Neural Networks
Ilya Sutskever
Oriol Vinyals
Quoc V. Le
AIMat
295
20,491
0
10 Sep 2014
Distributed Representations of Words and Phrases and their
  Compositionality
Distributed Representations of Words and Phrases and their Compositionality
Tomas Mikolov
Ilya Sutskever
Kai Chen
G. Corrado
J. Dean
NAI
OCL
302
33,445
0
16 Oct 2013
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