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Deep learning for time series classification: a review

Deep learning for time series classification: a review

12 September 2018
Hassan Ismail Fawaz
Germain Forestier
J. Weber
L. Idoumghar
Pierre-Alain Muller
    AI4TS
    AI4CE
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Papers citing "Deep learning for time series classification: a review"

50 / 563 papers shown
Title
ForecastQA: A Question Answering Challenge for Event Forecasting with
  Temporal Text Data
ForecastQA: A Question Answering Challenge for Event Forecasting with Temporal Text Data
Woojeong Jin
Rahul Khanna
Suji Kim
Dong-Ho Lee
Fred Morstatter
Aram Galstyan
Xiang Ren
AI4TS
11
36
0
02 May 2020
Co-eye: A Multi-resolution Symbolic Representation to TimeSeries
  Diversified Ensemble Classification
Co-eye: A Multi-resolution Symbolic Representation to TimeSeries Diversified Ensemble Classification
Z. Abdallah
M. Gaber
AI4TS
23
0
0
14 Apr 2020
Detecting Driver's Distraction using Long-term Recurrent Convolutional
  Network
Detecting Driver's Distraction using Long-term Recurrent Convolutional Network
Chang Wei Tan
Mahsa Salehi
G. Mackellar
14
5
0
14 Apr 2020
Generalized Label Enhancement with Sample Correlations
Generalized Label Enhancement with Sample Correlations
Qinghai Zheng
Jihua Zhu
Haoyu Tang
Xinyuan Liu
Zhongyu Li
Huimin Lu
28
57
0
07 Apr 2020
DYSAN: Dynamically sanitizing motion sensor data against sensitive
  inferences through adversarial networks
DYSAN: Dynamically sanitizing motion sensor data against sensitive inferences through adversarial networks
Claude Rosin Ngueveu
A. Boutet
Carole Frindel
Sébastien Gambs
T. Jourdan
Claude Rosin Ngueveu
30
27
0
23 Mar 2020
Nonlinear Time Series Classification Using Bispectrum-based Deep
  Convolutional Neural Networks
Nonlinear Time Series Classification Using Bispectrum-based Deep Convolutional Neural Networks
Paul A. Parker
S. Holan
N. Ravishanker
AI4TS
BDL
18
8
0
04 Mar 2020
Analysis of Gait-Event-related Brain Potentials During Instructed And
  Spontaneous Treadmill Walking -- Technical Affordances and used Methods
Analysis of Gait-Event-related Brain Potentials During Instructed And Spontaneous Treadmill Walking -- Technical Affordances and used Methods
C. Herbert
Jan Nachtsheim
M. Munz
15
0
0
02 Mar 2020
Identity Recognition in Intelligent Cars with Behavioral Data and
  LSTM-ResNet Classifier
Identity Recognition in Intelligent Cars with Behavioral Data and LSTM-ResNet Classifier
Michael Hammann
Maximilian Kraus
S. Shafaei
Alois C. Knoll
21
3
0
02 Mar 2020
Time Series Data Augmentation for Deep Learning: A Survey
Time Series Data Augmentation for Deep Learning: A Survey
Qingsong Wen
Liang Sun
Fan Yang
Xiaomin Song
Jing Gao
Xue Wang
Huan Xu
AI4TS
32
635
0
27 Feb 2020
Complexity Measures and Features for Times Series classification
Complexity Measures and Features for Times Series classification
Francisco Javier Baldan
J. M. Benítez
33
19
0
27 Feb 2020
Omni-Scale CNNs: a simple and effective kernel size configuration for
  time series classification
Omni-Scale CNNs: a simple and effective kernel size configuration for time series classification
Wensi Tang
Guodong Long
Lu Liu
Dinesh Manocha
Michael Blumenstein
Jing Jiang
AI4TS
24
99
0
24 Feb 2020
KryptoOracle: A Real-Time Cryptocurrency Price Prediction Platform Using
  Twitter Sentiments
KryptoOracle: A Real-Time Cryptocurrency Price Prediction Platform Using Twitter Sentiments
Shubhankar Mohapatra
Nauman Ahmed
Paulo S. C. Alencar
28
36
0
21 Feb 2020
Collaborative Inference for Efficient Remote Monitoring
Collaborative Inference for Efficient Remote Monitoring
Chi Zhang
Yong Sheng Soh
Ling Feng
Dinesh Manocha
Qianxiao Li
13
0
0
12 Feb 2020
Multi-Source Deep Domain Adaptation for Quality Control in Retail Food
  Packaging
Multi-Source Deep Domain Adaptation for Quality Control in Retail Food Packaging
Mamatha Thota
Stefanos D. Kollias
M. Swainson
Georgios Leontidis
14
4
0
28 Jan 2020
On the Metrics and Adaptation Methods for Domain Divergences of
  sEMG-based Gesture Recognition
On the Metrics and Adaptation Methods for Domain Divergences of sEMG-based Gesture Recognition
István Ketykó
Ferenc Kovács
TTA
16
2
0
18 Dec 2019
Deep Learning for Cardiologist-level Myocardial Infarction Detection in
  Electrocardiograms
Deep Learning for Cardiologist-level Myocardial Infarction Detection in Electrocardiograms
Arjun Gupta
Eliu A. Huerta
Zhizhen Zhao
I. Moussa
21
27
0
16 Dec 2019
Classification des S{é}ries Temporelles Incertaines par Transformation
  Shapelet
Classification des S{é}ries Temporelles Incertaines par Transformation Shapelet
Michael Franklin Mbouopda
E. M. Nguifo
16
0
0
11 Dec 2019
An empirical study of neural networks for trend detection in time series
An empirical study of neural networks for trend detection in time series
Alexandre Miot
Gilles Drigout
AI4TS
18
2
0
09 Dec 2019
Embedding and learning with signatures
Embedding and learning with signatures
Adeline Fermanian
33
63
0
29 Nov 2019
Artificial neural networks in action for an automated cell-type
  classification of biological neural networks
Artificial neural networks in action for an automated cell-type classification of biological neural networks
Eirini Troullinou
G. Tsagkatakis
Spyridon Chavlis
G. Turi
Wen-Ke Li
A. Losonczy
P. Tsakalides
Panayiota Poirazi
34
13
0
22 Nov 2019
Radar Emitter Classification with Attribute-specific Recurrent Neural
  Networks
Radar Emitter Classification with Attribute-specific Recurrent Neural Networks
Paolo Notaro
Magdalini Paschali
Carsten Hopke
David Wittmann
Nassir Navab
40
11
0
18 Nov 2019
Benchmarking time series classification -- Functional data vs machine
  learning approaches
Benchmarking time series classification -- Functional data vs machine learning approaches
Florian Pfisterer
Laura Beggel
Xudong Sun
Fabian Scheipl
B. Bischl
CML
25
15
0
18 Nov 2019
Dynamic Time Warp Convolutional Networks
Dynamic Time Warp Convolutional Networks
Yaniv Shulman
AI4TS
19
0
0
05 Nov 2019
Deep convolutional neural networks for multi-scale time-series
  classification and application to disruption prediction in fusion devices
Deep convolutional neural networks for multi-scale time-series classification and application to disruption prediction in fusion devices
R. Churchill
the DIII-D team
AI4CE
22
10
0
31 Oct 2019
ROCKET: Exceptionally fast and accurate time series classification using
  random convolutional kernels
ROCKET: Exceptionally fast and accurate time series classification using random convolutional kernels
Angus Dempster
Franccois Petitjean
Geoffrey I. Webb
AI4TS
22
757
0
29 Oct 2019
Automatic Driver Identification from In-Vehicle Network Logs
Automatic Driver Identification from In-Vehicle Network Logs
Mina Remeli
Szilvia Lestyán
G. Ács
G. Biczók
21
16
0
25 Oct 2019
Self-attention for raw optical Satellite Time Series Classification
Self-attention for raw optical Satellite Time Series Classification
M. Rußwurm
Marco Körner
AI4TS
22
260
0
23 Oct 2019
ODE guided Neural Data Augmentation Techniques for Time Series Data and
  its Benefits on Robustness
ODE guided Neural Data Augmentation Techniques for Time Series Data and its Benefits on Robustness
A. Sarkar
A. Raj
Raghu Sesha Iyengar
AAML
AI4TS
26
0
0
15 Oct 2019
Adaptive Transfer Learning of Multi-View Time Series Classification
Adaptive Transfer Learning of Multi-View Time Series Classification
Donglin Zhan
Shiyu Yi
Dongli Xu
Xiao Yu
Denglin Jiang
Siqi Yu
Haoting Zhang
Wenfang Shangguan
Weihua Zhang
AI4TS
21
2
0
14 Oct 2019
Time series classification for varying length series
Time series classification for varying length series
Chang Wei Tan
F. Petitjean
Eamonn Keogh
Geoffrey I. Webb
AI4TS
16
31
0
10 Oct 2019
Chameleon: Learning Model Initializations Across Tasks With Different
  Schemas
Chameleon: Learning Model Initializations Across Tasks With Different Schemas
L. Brinkmeyer
Rafael Rêgo Drumond
Randolf Scholz
Josif Grabocka
Lars Schmidt-Thieme
CLL
13
8
0
30 Sep 2019
Timage -- A Robust Time Series Classification Pipeline
Timage -- A Robust Time Series Classification Pipeline
Marc Wenninger
Sebastian P. Bayerl
Jochen Schmidt
Korbinian Riedhammer
38
7
0
19 Sep 2019
sktime: A Unified Interface for Machine Learning with Time Series
sktime: A Unified Interface for Machine Learning with Time Series
M. Löning
A. Bagnall
S. Ganesh
V. Kazakov
Jason Lines
Franz J. Király
SyDa
AI4TS
17
224
0
17 Sep 2019
Meta-Learning for Few-Shot Time Series Classification
Meta-Learning for Few-Shot Time Series Classification
Jyoti Narwariya
Pankaj Malhotra
L. Vig
Gautam M. Shroff
T. Vishnu
76
59
0
13 Sep 2019
InceptionTime: Finding AlexNet for Time Series Classification
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
102
1,072
0
11 Sep 2019
Accurate and interpretable evaluation of surgical skills from kinematic
  data using fully convolutional neural networks
Accurate and interpretable evaluation of surgical skills from kinematic data using fully convolutional neural networks
Hassan Ismail Fawaz
Germain Forestier
J. Weber
L. Idoumghar
Pierre-Alain Muller
16
99
0
20 Aug 2019
Diagnosing Cardiac Abnormalities from 12-Lead Electrocardiograms Using
  Enhanced Deep Convolutional Neural Networks
Diagnosing Cardiac Abnormalities from 12-Lead Electrocardiograms Using Enhanced Deep Convolutional Neural Networks
Binhang Yuan
Wenhui Xing
16
8
0
15 Aug 2019
Modeling continuous-time stochastic processes using $\mathcal{N}$-Curve
  mixtures
Modeling continuous-time stochastic processes using N\mathcal{N}N-Curve mixtures
Ronny Hug
Wolfgang Hubner
Michael Arens
28
0
0
12 Aug 2019
TEASER: Early and Accurate Time Series Classification
TEASER: Early and Accurate Time Series Classification
Patrick Schäfer
Ulf Leser
AI4TS
17
60
0
09 Aug 2019
LoadCNN: A Low Training Cost Deep Learning Model for Day-Ahead
  Individual Residential Load Forecasting
LoadCNN: A Low Training Cost Deep Learning Model for Day-Ahead Individual Residential Load Forecasting
Yunyou Huang
Nana Wang
Wanling Gao
Xiaoxuan Guo
Cheng Huang
Tianshu Hao
Jianfeng Zhan
11
5
0
01 Aug 2019
Classification of chaotic time series with deep learning
Classification of chaotic time series with deep learning
Nicolas Boullé
V. Dallas
Y. Nakatsukasa
D. Samaddar
AI4TS
19
55
0
26 Jul 2019
TS-CHIEF: A Scalable and Accurate Forest Algorithm for Time Series
  Classification
TS-CHIEF: A Scalable and Accurate Forest Algorithm for Time Series Classification
Ahmed Shifaz
Charlotte Pelletier
F. Petitjean
Geoffrey I. Webb
AI4TS
24
183
0
25 Jun 2019
Learning Interpretable Shapelets for Time Series Classification through
  Adversarial Regularization
Learning Interpretable Shapelets for Time Series Classification through Adversarial Regularization
Yichang Wang
Rémi Emonet
Elisa Fromont
S. Malinowski
Etienne Ménager
Loic Mosser
R. Tavenard
AI4TS
11
12
0
03 Jun 2019
BreizhCrops: A Time Series Dataset for Crop Type Mapping
BreizhCrops: A Time Series Dataset for Crop Type Mapping
M. Rußwurm
Charlotte Pelletier
Maximilian Zollner
Sébastien Lefèvre
Marco Korner
AI4TS
29
72
0
28 May 2019
Multivariate Time Series Classification using Dilated Convolutional
  Neural Network
Multivariate Time Series Classification using Dilated Convolutional Neural Network
Omolbanin Yazdanbakhsh
S. Dick
21
33
0
05 May 2019
Surface Type Classification for Autonomous Robot Indoor Navigation
Surface Type Classification for Autonomous Robot Indoor Navigation
Francesco Lomio
Erjon Skenderi
Damoon Mohamadi
J. Collin
R. Ghabcheloo
H. Huttunen
24
13
0
01 May 2019
ConvTimeNet: A Pre-trained Deep Convolutional Neural Network for Time
  Series Classification
ConvTimeNet: A Pre-trained Deep Convolutional Neural Network for Time Series Classification
Kathan Kashiparekh
Jyoti Narwariya
Pankaj Malhotra
L. Vig
Gautam M. Shroff
AI4TS
25
69
0
29 Apr 2019
Wearable-based Parkinson's Disease Severity Monitoring using Deep
  Learning
Wearable-based Parkinson's Disease Severity Monitoring using Deep Learning
Jann Goschenhofer
Franz MJ Pfister
K. Yuksel
B. Bischl
U. Fietzek
Janek Thomas
OOD
21
20
0
24 Apr 2019
Explaining Deep Classification of Time-Series Data with Learned
  Prototypes
Explaining Deep Classification of Time-Series Data with Learned Prototypes
Alan H. Gee
Diego Garcia-Olano
Joydeep Ghosh
D. Paydarfar
AI4TS
24
66
0
18 Apr 2019
Adversarial Attacks on Deep Neural Networks for Time Series
  Classification
Adversarial Attacks on Deep Neural Networks for Time Series Classification
Hassan Ismail Fawaz
Germain Forestier
J. Weber
L. Idoumghar
Pierre-Alain Muller
AAML
18
133
0
17 Mar 2019
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