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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
RIPPLE: Concept-Based Interpretation for Raw Time Series Models in
  Education
RIPPLE: Concept-Based Interpretation for Raw Time Series Models in Education
Mohammad Asadi
Vinitra Swamy
Jibril Frej
J. Vignoud
Mirko Marras
Tanja Kaser
6
8
0
02 Dec 2022
Data-driven Science and Machine Learning Methods in Laser-Plasma Physics
Data-driven Science and Machine Learning Methods in Laser-Plasma Physics
Andreas Döpp
C. Eberle
S. Howard
F. Irshad
Jinpu Lin
M. Streeter
AI4CE
8
63
0
30 Nov 2022
Deep representation learning: Fundamentals, Perspectives, Applications,
  and Open Challenges
Deep representation learning: Fundamentals, Perspectives, Applications, and Open Challenges
K. T. Baghaei
Amirreza Payandeh
Pooya Fayyazsanavi
Shahram Rahimi
Zhiqian Chen
Somayeh Bakhtiari Ramezani
FaML
AI4TS
12
6
0
27 Nov 2022
Privacy Meets Explainability: A Comprehensive Impact Benchmark
Privacy Meets Explainability: A Comprehensive Impact Benchmark
S. Saifullah
Dominique Mercier
Adriano Lucieri
Andreas Dengel
Sheraz Ahmed
8
14
0
08 Nov 2022
A Synthetic Dataset for 5G UAV Attacks Based on Observable Network
  Parameters
A Synthetic Dataset for 5G UAV Attacks Based on Observable Network Parameters
Joseanne Viana
Hamed Farkhari
P. Sebastião
S. Lagén
Katerina Koutlia
Biljana Bojović
R. Dinis
17
4
0
05 Nov 2022
Improving Medical Predictions by Irregular Multimodal Electronic Health
  Records Modeling
Improving Medical Predictions by Irregular Multimodal Electronic Health Records Modeling
Xinlu Zhang
Shiyang Li
Zhiyu Zoey Chen
Xifeng Yan
Linda R. Petzold
AI4TS
42
24
0
18 Oct 2022
Autoencoder based Anomaly Detection and Explained Fault Localization in
  Industrial Cooling Systems
Autoencoder based Anomaly Detection and Explained Fault Localization in Industrial Cooling Systems
Stephan Holly
R. Heel
D. Katic
Leopold Schoeffl
Andreas Stiftinger
...
Thomas B. Kaufmann
Bernhard Haslhofer
Daniel Schall
C. Heitzinger
J. Kemnitz
UQCV
AI4CE
16
6
0
14 Oct 2022
A Large-Scale Annotated Multivariate Time Series Aviation Maintenance
  Dataset from the NGAFID
A Large-Scale Annotated Multivariate Time Series Aviation Maintenance Dataset from the NGAFID
Hong Yang
Travis J. Desell
AI4TS
6
1
0
13 Oct 2022
An Additive Autoencoder for Dimension Estimation
An Additive Autoencoder for Dimension Estimation
T. Kärkkäinen
Jan Hänninen
11
1
0
13 Oct 2022
Empirical Evaluation of Data Augmentations for Biobehavioral Time Series
  Data with Deep Learning
Empirical Evaluation of Data Augmentations for Biobehavioral Time Series Data with Deep Learning
Huiyuan Yang
Han Yu
Akane Sano
AI4TS
9
5
0
13 Oct 2022
Indoor Localization with Robust Global Channel Charting: A
  Time-Distance-Based Approach
Indoor Localization with Robust Global Channel Charting: A Time-Distance-Based Approach
Maximilian Stahlke
G. Yammine
Tobias Feigl
Bjoern M. Eskofier
Christopher Mutschler
14
27
0
07 Oct 2022
Continuous Diagnosis and Prognosis by Controlling the Update Process of
  Deep Neural Networks
Continuous Diagnosis and Prognosis by Controlling the Update Process of Deep Neural Networks
Chenxi Sun
Hongyan Li
Moxian Song
D. Cai
B. Zhang
linda Qiao
16
7
0
06 Oct 2022
Fast and Robust Video-Based Exercise Classification via Body Pose
  Tracking and Scalable Multivariate Time Series Classifiers
Fast and Robust Video-Based Exercise Classification via Body Pose Tracking and Scalable Multivariate Time Series Classifiers
Ashish Singh
Antonio Bevilacqua
Thach le Nguyen
Feiyan Hu
Kevin McGuinness
Martin O'Reilly
D. Whelan
Brian Caulfield
Georgiana Ifrim
22
12
0
02 Oct 2022
Supervised Parameter Estimation of Neuron Populations from Multiple
  Firing Events
Supervised Parameter Estimation of Neuron Populations from Multiple Firing Events
L. Le
Yao Li
7
1
0
02 Oct 2022
A Multi-label Time Series Classification Approach for Non-intrusive
  Water End-Use Monitoring
A Multi-label Time Series Classification Approach for Non-intrusive Water End-Use Monitoring
Dimitris Papatheodoulou
P. Pavlou
Stelios G. Vrachimis
Kleanthis Malialis
Demetrios G. Eliades
T. Theocharides
AI4TS
31
0
0
30 Sep 2022
Active Transfer Prototypical Network: An Efficient Labeling Algorithm
  for Time-Series Data
Active Transfer Prototypical Network: An Efficient Labeling Algorithm for Time-Series Data
Yuqi Zhu
M. Tnani
Timo Jahnz
Klaus Diepold
4
0
0
28 Sep 2022
Experimental study of time series forecasting methods for groundwater
  level prediction
Experimental study of time series forecasting methods for groundwater level prediction
Michael Franklin Mbouopda
Thomas Guyet
Nicolas Labroche
Abel Henriot
11
0
0
28 Sep 2022
Deep learning based sferics recognition for AMT data processing in the
  dead band
Deep learning based sferics recognition for AMT data processing in the dead band
Enhua Jiang
Rujun Chen
Xinming Wu
Jianxin Liu
Debin Zhu
Weiqiang Liu
14
0
0
22 Sep 2022
EEG-Based Epileptic Seizure Prediction Using Temporal Multi-Channel
  Transformers
EEG-Based Epileptic Seizure Prediction Using Temporal Multi-Channel Transformers
Ricardo V. Godoy
Tharik J. S. Reis
Paulo H. Polegato
G. J. G. Lahr
R. Saute
F. Nakano
H. Machado
A. Sakamoto
Marcelo Becker
G. Caurin
13
7
0
18 Sep 2022
Out-of-Distribution Representation Learning for Time Series
  Classification
Out-of-Distribution Representation Learning for Time Series Classification
Wang Lu
Jindong Wang
Xinwei Sun
Yiqiang Chen
Xingxu Xie
OODD
OOD
14
34
0
15 Sep 2022
FRANS: Automatic Feature Extraction for Time Series Forecasting
FRANS: Automatic Feature Extraction for Time Series Forecasting
A. Chernikov
Chang Wei Tan
Pablo Montero-Manso
Christoph Bergmeir
AI4TS
6
1
0
15 Sep 2022
TSFool: Crafting Highly-Imperceptible Adversarial Time Series through
  Multi-Objective Attack
TSFool: Crafting Highly-Imperceptible Adversarial Time Series through Multi-Objective Attack
Yanyun Wang
Dehui Du
Haibo Hu
Zi Liang
Yuanhao Liu
AAML
AI4TS
15
1
0
14 Sep 2022
In-situ animal behavior classification using knowledge distillation and
  fixed-point quantization
In-situ animal behavior classification using knowledge distillation and fixed-point quantization
Reza Arablouei
Liang Wang
Caitlin E Phillips
L. Currie
Jordan Yates
G. Bishop-Hurley
MQ
13
3
0
09 Sep 2022
Statistical Comparisons of Classifiers by Generalized Stochastic
  Dominance
Statistical Comparisons of Classifiers by Generalized Stochastic Dominance
Christoph Jansen
Malte Nalenz
G. Schollmeyer
Thomas Augustin
13
12
0
05 Sep 2022
Embedding Functional Data: Multidimensional Scaling and Manifold
  Learning
Embedding Functional Data: Multidimensional Scaling and Manifold Learning
E. Arias-Castro
Wanli Qiao
12
0
0
30 Aug 2022
Denoising Architecture for Unsupervised Anomaly Detection in Time-Series
Denoising Architecture for Unsupervised Anomaly Detection in Time-Series
Wadie Skaf
Tomávs Horváth
AI4TS
11
1
0
30 Aug 2022
Explainable AI for tailored electricity consumption feedback -- an
  experimental evaluation of visualizations
Explainable AI for tailored electricity consumption feedback -- an experimental evaluation of visualizations
Jacqueline Wastensteiner
T. Weiß
Felix Haag
K. Hopf
18
10
0
24 Aug 2022
DCSF: Deep Convolutional Set Functions for Classification of
  Asynchronous Time Series
DCSF: Deep Convolutional Set Functions for Classification of Asynchronous Time Series
Vijaya Krishna Yalavarthi
Johannes Burchert
Lars Schmidt-Thieme
BDL
AI4TS
12
4
0
24 Aug 2022
Confidence-Guided Learning Process for Continuous Classification of Time
  Series
Confidence-Guided Learning Process for Continuous Classification of Time Series
Chenxi Sun
Moxian Song
D. Cai
B. Zhang
linda Qiao
Hongyan Li
6
6
0
14 Aug 2022
TSInterpret: A unified framework for time series interpretability
TSInterpret: A unified framework for time series interpretability
Jacqueline Höllig
Cedric Kulbach
Steffen Thoma
AI4TS
AI4CE
14
2
0
10 Aug 2022
Interpretable Time Series Clustering Using Local Explanations
Interpretable Time Series Clustering Using Local Explanations
Ozan Ozyegen
Nicholas Prayogo
Mucahit Cevik
Ayse Basar
FAtt
AI4TS
11
1
0
01 Aug 2022
Integrating Statistical and Machine Learning Approaches to Identify
  Receptive Field Structure in Neural Populations
Integrating Statistical and Machine Learning Approaches to Identify Receptive Field Structure in Neural Populations
Mehrad Sarmashghi
Shantanu P. Jadhav
U. Eden
18
1
0
25 Jul 2022
dCAM: Dimension-wise Class Activation Map for Explaining Multivariate
  Data Series Classification
dCAM: Dimension-wise Class Activation Map for Explaining Multivariate Data Series Classification
Paul Boniol
M. Meftah
E. Remy
Themis Palpanas
AI4TS
11
24
0
25 Jul 2022
LETS-GZSL: A Latent Embedding Model for Time Series Generalized Zero
  Shot Learning
LETS-GZSL: A Latent Embedding Model for Time Series Generalized Zero Shot Learning
Sathvik Bhaskarpandit
Priyanka Gupta
Manik Gupta
BDL
AI4TS
12
2
0
25 Jul 2022
A Convolutional Attention Based Deep Network Solution for UAV Network
  Attack Recognition over Fading Channels and Interference
A Convolutional Attention Based Deep Network Solution for UAV Network Attack Recognition over Fading Channels and Interference
Joseanne Viana
Hamed Farkhari
L. M. Campos
P. Sebastião
Katerina Koutlia
S. Lagén
Luís Bernardo
R. Dinis
AAML
6
2
0
16 Jul 2022
Transfer learning for time series classification using synthetic data
  generation
Transfer learning for time series classification using synthetic data generation
Yarden Rotem
Nathaniel Shimoni
L. Rokach
Bracha Shapira
SyDa
8
8
0
16 Jul 2022
What AI can do for horse-racing ?
What AI can do for horse-racing ?
Pierre Colle
12
1
0
11 Jul 2022
Out-of-Distribution Detection in Time-Series Domain: A Novel Seasonal
  Ratio Scoring Approach
Out-of-Distribution Detection in Time-Series Domain: A Novel Seasonal Ratio Scoring Approach
Taha Belkhouja
Yan Yan
J. Doppa
OODD
AI4TS
6
3
0
09 Jul 2022
Memory-free Online Change-point Detection: A Novel Neural Network
  Approach
Memory-free Online Change-point Detection: A Novel Neural Network Approach
Zahra Atashgahi
D. Mocanu
Raymond N. J. Veldhuis
Mykola Pechenizkiy
AI4TS
11
8
0
08 Jul 2022
Convolutional Neural Networks for Time-dependent Classification of
  Variable-length Time Series
Convolutional Neural Networks for Time-dependent Classification of Variable-length Time Series
Azusa Sawada
Taiki Miyagawa
Akinori F. Ebihara
S. Yachida
Toshinori Hosoi
AI4TS
8
2
0
08 Jul 2022
Predicting the Stability of Hierarchical Triple Systems with
  Convolutional Neural Networks
Predicting the Stability of Hierarchical Triple Systems with Convolutional Neural Networks
F. Lalande
A. Trani
16
6
0
24 Jun 2022
ADBench: Anomaly Detection Benchmark
ADBench: Anomaly Detection Benchmark
Songqiao Han
Xiyang Hu
Hailiang Huang
Mingqi Jiang
Yue Zhao
OOD
19
293
0
19 Jun 2022
Self-Supervised Contrastive Pre-Training For Time Series via
  Time-Frequency Consistency
Self-Supervised Contrastive Pre-Training For Time Series via Time-Frequency Consistency
Xiang Zhang
Ziyuan Zhao
Theodoros Tsiligkaridis
Marinka Zitnik
AI4TS
15
180
0
17 Jun 2022
Human Activity Recognition from Knee Angle Using Machine Learning
  Techniques
Human Activity Recognition from Knee Angle Using Machine Learning Techniques
Farhad Nazari
D. Nahavandi
N. Mohajer
Abbas Khosravi
17
14
0
09 Jun 2022
[Reproducibility Report] Explainable Deep One-Class Classification
[Reproducibility Report] Explainable Deep One-Class Classification
João P C Bertoldo
Etienne Decencière
13
0
0
06 Jun 2022
Universal Early Warning Signals of Phase Transitions in Climate Systems
Universal Early Warning Signals of Phase Transitions in Climate Systems
D. Dylewsky
T. Lenton
M. Scheffer
T. Bury
C. Fletcher
M. Anand
C. Bauch
AI4Cl
7
19
0
31 May 2022
Braille Letter Reading: A Benchmark for Spatio-Temporal Pattern
  Recognition on Neuromorphic Hardware
Braille Letter Reading: A Benchmark for Spatio-Temporal Pattern Recognition on Neuromorphic Hardware
Simon F. Müller-Cleve
Vittorio Fra
Lyes Khacef
Alejandro Pequeño-Zurro
Daniel Klepatsch
...
D. G. Ivanovich
Shavika Rastogi
Gianvito Urgese
Friedemann Zenke
Chiara Bartolozzi
4
38
0
30 May 2022
TraClets: Harnessing the power of computer vision for trajectory
  classification
TraClets: Harnessing the power of computer vision for trajectory classification
Ioannis Kontopoulos
Antonios Makris
Konstantinos Tserpes
V. Bogorny
17
3
0
27 May 2022
Self-supervised Pretraining and Transfer Learning Enable Flu and
  COVID-19 Predictions in Small Mobile Sensing Datasets
Self-supervised Pretraining and Transfer Learning Enable Flu and COVID-19 Predictions in Small Mobile Sensing Datasets
Michael Merrill
Tim Althoff
AI4TS
13
12
0
26 May 2022
Topological Simplification of Signals for Inference and Approximate
  Reconstruction
Topological Simplification of Signals for Inference and Approximate Reconstruction
Gary Koplik
N. Borggren
Sam Voisin
Gabrielle Angeloro
Jay Hineman
Tessa Johnson
Paul Bendich
9
2
0
25 May 2022
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