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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 / 560 papers shown
Title
Fitbeat: COVID-19 Estimation based on Wristband Heart Rate
Fitbeat: COVID-19 Estimation based on Wristband Heart Rate
Shuo Liu
Jing Han
Estela Laporta Puyal
S. Kontaxis
Shaoxiong Sun
...
N. Cummins
V. A. Narayan
Matthew Hotopf
Giancarlo Comi
Björn Schuller
18
0
0
19 Apr 2021
An Empirical Study of Graph-Based Approaches for Semi-Supervised Time
  Series Classification
An Empirical Study of Graph-Based Approaches for Semi-Supervised Time Series Classification
Dominik Alfke
Miriam Gondos
Lucile Peroche
Martin Stoll
AI4TS
29
2
0
16 Apr 2021
HIVE-COTE 2.0: a new meta ensemble for time series classification
HIVE-COTE 2.0: a new meta ensemble for time series classification
Matthew Middlehurst
J. Large
Michael Flynn
Jason Lines
A. Bostrom
A. Bagnall
AI4TS
14
173
0
15 Apr 2021
Tracking agitation in people living with dementia in a care environment
Tracking agitation in people living with dementia in a care environment
Shehroz S. Khan
Thaejaesh Sooriyakumaran
Katherine Rich
S. Spasojevic
B. Ye
Kristine Newman
Andrea Iaboni
Alex Mihailidis
11
3
0
15 Apr 2021
Process Outcome Prediction: CNN vs. LSTM (with Attention)
Process Outcome Prediction: CNN vs. LSTM (with Attention)
Hans Weytjens
Jochen De Weerdt
AI4TS
17
42
0
14 Apr 2021
Neural Network for Weighted Signal Temporal Logic
Neural Network for Weighted Signal Temporal Logic
Ruixuan Yan
A. Julius
AI4TS
14
9
0
08 Apr 2021
OGGN: A Novel Generalized Oracle Guided Generative Architecture for
  Modelling Inverse Function of Artificial Neural Networks
OGGN: A Novel Generalized Oracle Guided Generative Architecture for Modelling Inverse Function of Artificial Neural Networks
Mohammad Aaftab
Mansi Sharma
17
1
0
08 Apr 2021
Autoencoder-based Representation Learning from Heterogeneous
  Multivariate Time Series Data of Mechatronic Systems
Autoencoder-based Representation Learning from Heterogeneous Multivariate Time Series Data of Mechatronic Systems
Karl-Philipp Kortmann
M. Fehsenfeld
M. Wielitzka
AI4TS
14
2
0
06 Apr 2021
Resource-aware Time Series Imaging Classification for Wireless Link
  Layer Anomalies
Resource-aware Time Series Imaging Classification for Wireless Link Layer Anomalies
Blaž Bertalanič
Marko Meza
Carolina Fortuna
11
21
0
02 Apr 2021
Learnable Dynamic Temporal Pooling for Time Series Classification
Learnable Dynamic Temporal Pooling for Time Series Classification
Dongha Lee
Seonghyeon Lee
Hwanjo Yu
AI4TS
19
27
0
02 Apr 2021
DEALIO: Data-Efficient Adversarial Learning for Imitation from
  Observation
DEALIO: Data-Efficient Adversarial Learning for Imitation from Observation
F. Torabi
Garrett A. Warnell
Yufei Xu
6
16
0
31 Mar 2021
Attention to Warp: Deep Metric Learning for Multivariate Time Series
Attention to Warp: Deep Metric Learning for Multivariate Time Series
Shinnosuke Matsuo
Xiaomeng Wu
Gantugs Atarsaikhan
Akisato Kimura
K. Kashino
Brian Kenji Iwana
S. Uchida
AI4TS
11
3
0
28 Mar 2021
Gated Transformer Networks for Multivariate Time Series Classification
Gated Transformer Networks for Multivariate Time Series Classification
Minghao Liu
Shengqi Ren
Siyuan Ma
Jiahui Jiao
Yizhou Chen
Zhiguang Wang
Wei Song
AI4TS
14
101
0
26 Mar 2021
An Experimental Review on Deep Learning Architectures for Time Series
  Forecasting
An Experimental Review on Deep Learning Architectures for Time Series Forecasting
Pedro Lara-Benítez
Manuel Carranza-García
José Cristóbal Riquelme Santos
AI4TS
9
253
0
22 Mar 2021
Interpretable Feature Construction for Time Series Extrinsic Regression
Interpretable Feature Construction for Time Series Extrinsic Regression
D. Gay
A. Bondu
V. Lemaire
Marc Boullé
AI4TS
6
0
0
15 Mar 2021
Depth Evaluation for Metal Surface Defects by Eddy Current Testing using
  Deep Residual Convolutional Neural Networks
Depth Evaluation for Metal Surface Defects by Eddy Current Testing using Deep Residual Convolutional Neural Networks
Tian Meng
Yang Tao
Ziqi Chen
J. S. Avila
Qiaoye Ran
...
Qian Zhao
Zhijie Zhang
Hujun Yin
A. Peyton
W. Yin
26
19
0
08 Mar 2021
Physical Activity Recognition Based on a Parallel Approach for an
  Ensemble of Machine Learning and Deep Learning Classifiers
Physical Activity Recognition Based on a Parallel Approach for an Ensemble of Machine Learning and Deep Learning Classifiers
Mariem Abid
Amal Khabou
Y. Ouakrim
Hugo Watel
Safouene Chemcki
A. Mitiche
Amel Benazza-Benyahia
N. Mezghani
11
5
0
02 Mar 2021
DTW-Merge: A Novel Data Augmentation Technique for Time Series
  Classification
DTW-Merge: A Novel Data Augmentation Technique for Time Series Classification
Mohammad Akyash
Hoda Mohammadzade
H. Behroozi
AI4TS
11
5
0
01 Mar 2021
Elastic Similarity and Distance Measures for Multivariate Time Series
Elastic Similarity and Distance Measures for Multivariate Time Series
Ahmed Shifaz
Charlotte Pelletier
F. Petitjean
Geoffrey I. Webb
AI4TS
17
12
0
20 Feb 2021
Classification of multivariate weakly-labelled time-series with
  attention
Classification of multivariate weakly-labelled time-series with attention
S. Rahman
Chang Wei Tan
11
0
0
16 Feb 2021
Feature Selection for Multivariate Time Series via Network Pruning
Feature Selection for Multivariate Time Series via Network Pruning
Kang Gu
Soroush Vosoughi
T. Prioleau
AI4TS
14
5
0
11 Feb 2021
Causal Inference for Time series Analysis: Problems, Methods and
  Evaluation
Causal Inference for Time series Analysis: Problems, Methods and Evaluation
Raha Moraffah
Paras Sheth
Mansooreh Karami
Anchit Bhattacharya
Qianru Wang
Anique Tahir
A. Raglin
Huan Liu
CML
AI4TS
54
103
0
11 Feb 2021
Deep Semi-Supervised Learning for Time Series Classification
Deep Semi-Supervised Learning for Time Series Classification
Jann Goschenhofer
Rasmus Hvingelby
David Rügamer
Janek Thomas
Moritz Wagner
B. Bischl
AI4TS
12
12
0
06 Feb 2021
MultiRocket: Multiple pooling operators and transformations for fast and
  effective time series classification
MultiRocket: Multiple pooling operators and transformations for fast and effective time series classification
Chang Wei Tan
Angus Dempster
Christoph Bergmeir
Geoffrey I. Webb
AI4TS
16
103
0
31 Jan 2021
Low Dimensional Convolutional Neural Network For Solar Flares GOES Time
  Series Classification
Low Dimensional Convolutional Neural Network For Solar Flares GOES Time Series Classification
Vlad Landa
Y. Reuveni
BDL
14
13
0
29 Jan 2021
Adjusting for Autocorrelated Errors in Neural Networks for Time Series
Adjusting for Autocorrelated Errors in Neural Networks for Time Series
Fan-Keng Sun
C. Lang
Duane S. Boning
OOD
AI4TS
22
28
0
28 Jan 2021
Untargeted, Targeted and Universal Adversarial Attacks and Defenses on
  Time Series
Untargeted, Targeted and Universal Adversarial Attacks and Defenses on Time Series
Pradeep Rathore
Arghya Basak
S. Nistala
Venkataramana Runkana
AAML
8
25
0
13 Jan 2021
Condition Assessment of Stay Cables through Enhanced Time Series
  Classification Using a Deep Learning Approach
Condition Assessment of Stay Cables through Enhanced Time Series Classification Using a Deep Learning Approach
Zhiming Zhang
Jin Yan
Liangding Li
Hong Pan
Chuanzhi Dong
11
5
0
11 Jan 2021
Exploring Semi-Supervised Learning for Predicting Listener Backchannels
Exploring Semi-Supervised Learning for Predicting Listener Backchannels
Vidit Jain
Maitree Leekha
R. Shah
Jainendra Shukla
14
14
0
06 Jan 2021
Ensembles of Localised Models for Time Series Forecasting
Ensembles of Localised Models for Time Series Forecasting
Rakshitha Godahewa
Kasun Bandara
Geoffrey I. Webb
Slawek Smyl
Christoph Bergmeir
AI4TS
11
35
0
30 Dec 2020
Sensitivity - Local Index to Control Chaoticity or Gradient Globally -
Sensitivity - Local Index to Control Chaoticity or Gradient Globally -
K. Shibata
Takuya Ejima
Yuki Tokumaru
Toshitaka Matsuki
14
4
0
24 Dec 2020
Multi-Faceted Representation Learning with Hybrid Architecture for Time
  Series Classification
Multi-Faceted Representation Learning with Hybrid Architecture for Time Series Classification
Zhenyu Liu
Jian Cheng
AI4TS
9
0
0
21 Dec 2020
MINIROCKET: A Very Fast (Almost) Deterministic Transform for Time Series
  Classification
MINIROCKET: A Very Fast (Almost) Deterministic Transform for Time Series Classification
Angus Dempster
Daniel F. Schmidt
Geoffrey I. Webb
AI4TS
32
275
0
16 Dec 2020
MEME: Generating RNN Model Explanations via Model Extraction
MEME: Generating RNN Model Explanations via Model Extraction
Dmitry Kazhdan
B. Dimanov
M. Jamnik
Pietro Lió
LRM
8
13
0
13 Dec 2020
Anomaly Detection in Time Series with Triadic Motif Fields and
  Application in Atrial Fibrillation ECG Classification
Anomaly Detection in Time Series with Triadic Motif Fields and Application in Atrial Fibrillation ECG Classification
Yadong Zhang
Xin Chen
AI4TS
8
0
0
09 Dec 2020
Optimal Survival Trees
Optimal Survival Trees
Dimitris Bertsimas
Jack Dunn
Emma Gibson
Agni Orfanoudaki
17
21
0
08 Dec 2020
Fully Convolutional Network Bootstrapped by Word Encoding and Embedding
  for Activity Recognition in Smart Homes
Fully Convolutional Network Bootstrapped by Word Encoding and Embedding for Activity Recognition in Smart Homes
Damien Bouchabou
S. Nguyen
Christopher Lohr
Benoit Leduc
Ioannis Kanellos
14
29
0
01 Dec 2020
RTFN: A Robust Temporal Feature Network for Time Series Classification
RTFN: A Robust Temporal Feature Network for Time Series Classification
Zhiwen Xiao
Xin Xu
Huanlai Xing
Shouxi Luo
Penglin Dai
Dawei Zhan
AI4TS
15
144
0
24 Nov 2020
Explainable Multivariate Time Series Classification: A Deep Neural
  Network Which Learns To Attend To Important Variables As Well As Informative
  Time Intervals
Explainable Multivariate Time Series Classification: A Deep Neural Network Which Learns To Attend To Important Variables As Well As Informative Time Intervals
Tsung-Yu Hsieh
Suhang Wang
Yiwei Sun
Vasant Honavar
BDL
AI4TS
FAtt
8
8
0
23 Nov 2020
Peeking inside the Black Box: Interpreting Deep Learning Models for
  Exoplanet Atmospheric Retrievals
Peeking inside the Black Box: Interpreting Deep Learning Models for Exoplanet Atmospheric Retrievals
K. H. Yip
Q. Changeat
N. Nikolaou
M. Morvan
B. Edwards
Ingo P. Waldmann
Giovanna Tinetti
14
13
0
23 Nov 2020
A non-autonomous equation discovery method for time signal
  classification
A non-autonomous equation discovery method for time signal classification
Ryeongkyung Yoon
Harish S. Bhat
Braxton Osting
9
2
0
22 Nov 2020
Predictive maintenance on event logs: Application on an ATM fleet
Predictive maintenance on event logs: Application on an ATM fleet
Antoine Guillaume
Christel Vrain
Elloumi Wael
14
1
0
22 Nov 2020
On tuning deep learning models: a data mining perspective
On tuning deep learning models: a data mining perspective
M. Öztürk
6
0
0
19 Nov 2020
ATCN: Resource-Efficient Processing of Time Series on Edge
ATCN: Resource-Efficient Processing of Time Series on Edge
Mohammadreza Baharani
Hamed Tabkhi
AI4TS
9
1
0
10 Nov 2020
DeConFuse : A Deep Convolutional Transform based Unsupervised Fusion
  Framework
DeConFuse : A Deep Convolutional Transform based Unsupervised Fusion Framework
Pooja Gupta
Jyoti Maggu
A. Majumdar
Émilie Chouzenoux
Giovanni Chierchia
6
9
0
09 Nov 2020
Deep Learning-based Cattle Activity Classification Using Joint
  Time-frequency Data Representation
Deep Learning-based Cattle Activity Classification Using Joint Time-frequency Data Representation
Seyedeh Faézeh Hosseini Noorbin
S. Layeghy
Branislav Kusy
Raja Jurdak
G. Bishop-Hurley
Marius Portmann
14
32
0
06 Nov 2020
Merchant Category Identification Using Credit Card Transactions
Merchant Category Identification Using Credit Card Transactions
Chin-Chia Michael Yeh
Zhongfang Zhuang
Yan Zheng
Liang Wang
Junpeng Wang
Wei Zhang
12
8
0
05 Nov 2020
PyLightcurve-torch: a transit modelling package for deep learning
  applications in PyTorch
PyLightcurve-torch: a transit modelling package for deep learning applications in PyTorch
M. Morvan
A. Tsiaras
N. Nikolaou
Ingo P. Waldmann
11
9
0
03 Nov 2020
Augmenting Organizational Decision-Making with Deep Learning Algorithms:
  Principles, Promises, and Challenges
Augmenting Organizational Decision-Making with Deep Learning Algorithms: Principles, Promises, and Challenges
Y. Shrestha
Vaibhav Krishna
G. Krogh
16
116
0
02 Nov 2020
Consumer Behaviour in Retail: Next Logical Purchase using Deep Neural
  Network
Consumer Behaviour in Retail: Next Logical Purchase using Deep Neural Network
Ankur Verma
6
6
0
14 Oct 2020
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