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LSTM Fully Convolutional Networks for Time Series Classification

LSTM Fully Convolutional Networks for Time Series Classification

8 September 2017
Fazle Karim
Somshubra Majumdar
H. Darabi
Shun Chen
    AIMatAI4TS
ArXiv (abs)PDFHTML

Papers citing "LSTM Fully Convolutional Networks for Time Series Classification"

50 / 152 papers shown
Title
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
70
137
0
26 Mar 2021
ECG-TCN: Wearable Cardiac Arrhythmia Detection with a Temporal
  Convolutional Network
ECG-TCN: Wearable Cardiac Arrhythmia Detection with a Temporal Convolutional Network
T. Ingolfsson
Xiaying Wang
Michael Hersche
Luca Bompani
Lukas Cavigelli
Luca Benini
59
39
0
25 Mar 2021
Interpretable Deep Learning for the Remote Characterisation of
  Ambulation in Multiple Sclerosis using Smartphones
Interpretable Deep Learning for the Remote Characterisation of Ambulation in Multiple Sclerosis using Smartphones
Andrew P. Creagh
F. Lipsmeier
M. Lindemann
M. D. Vos
105
17
0
16 Mar 2021
Surface Topography Characterization Using a Simple Optical Device and
  Artificial Neural Networks
Surface Topography Characterization Using a Simple Optical Device and Artificial Neural Networks
Christoph Angermann
Markus Haltmeier
Christian Laubichler
Steinbjörn Jónsson
Matthias Schwab
Adéla Moravová
C. Kiesling
M. Kober
W. Fimml
39
7
0
15 Mar 2021
Self-Augmented Multi-Modal Feature Embedding
Self-Augmented Multi-Modal Feature Embedding
Shinnosuke Matsuo
S. Uchida
Brian Kenji Iwana
41
1
0
08 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
79
7
0
01 Mar 2021
CLPVG: Circular limited penetrable visibility graph as a new network
  model for time series
CLPVG: Circular limited penetrable visibility graph as a new network model for time series
Qi Xuan
Jinchao Zhou
Kunfeng Qiu
Dongwei Xu
Shilian Zheng
Xiaoniu Yang
45
15
0
01 Mar 2021
TELESTO: A Graph Neural Network Model for Anomaly Classification in
  Cloud Services
TELESTO: A Graph Neural Network Model for Anomaly Classification in Cloud Services
Dominik Scheinert
Alexander Acker
76
11
0
25 Feb 2021
On Technical Trading and Social Media Indicators in Cryptocurrencies'
  Price Classification Through Deep Learning
On Technical Trading and Social Media Indicators in Cryptocurrencies' Price Classification Through Deep Learning
Marco Ortu
Nicola Uras
C. Conversano
Giuseppe Destefanis
Silvia Bartolucci
97
28
0
13 Feb 2021
NAST: Non-Autoregressive Spatial-Temporal Transformer for Time Series Forecasting
Kai Chen
Guang Chen
Dan Xu
Lijun Zhang
Yuyao Huang
Alois C. Knoll
AI4TS
48
22
0
10 Feb 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
30
6
0
11 Jan 2021
Memory-Gated Recurrent Networks
Memory-Gated Recurrent Networks
Yaquan Zhang
Qi Wu
Nanbo Peng
Min Dai
Jing Zhang
Hu Wang
BDLAI4TS
47
7
0
24 Dec 2020
Self-Supervised Time Series Representation Learning by Inter-Intra
  Relational Reasoning
Self-Supervised Time Series Representation Learning by Inter-Intra Relational Reasoning
Haoyi Fan
Fengbin Zhang
Yue Gao
AI4TS
53
14
0
27 Nov 2020
Loss Bounds for Approximate Influence-Based Abstraction
Loss Bounds for Approximate Influence-Based Abstraction
E. Congeduti
A. Mey
F. Oliehoek
63
9
0
03 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
21
6
0
14 Oct 2020
Extreme-SAX: Extreme Points Based Symbolic Representation for Time
  Series Classification
Extreme-SAX: Extreme Points Based Symbolic Representation for Time Series Classification
Muhammad Marwan Muhammad Fuad
AI4TS
14
4
0
02 Oct 2020
Instance-based Counterfactual Explanations for Time Series
  Classification
Instance-based Counterfactual Explanations for Time Series Classification
Eoin Delaney
Derek Greene
Mark T. Keane
CMLAI4TS
61
91
0
28 Sep 2020
A Survey on Device Behavior Fingerprinting: Data Sources, Techniques,
  Application Scenarios, and Datasets
A Survey on Device Behavior Fingerprinting: Data Sources, Techniques, Application Scenarios, and Datasets
Pedro Miguel Sánchez Sánchez
José María Jorquera Valero
Alberto Huertas Celdrán
Gérome Bovet
M. Pérez
Gregorio Martínez Pérez
65
98
0
07 Aug 2020
DANA: Dimension-Adaptive Neural Architecture for Multivariate Sensor
  Data
DANA: Dimension-Adaptive Neural Architecture for Multivariate Sensor Data
Mohammad Malekzadeh
R. Clegg
Andrea Cavallaro
Hamed Haddadi
AI4TS
49
3
0
05 Aug 2020
An Empirical Survey of Data Augmentation for Time Series Classification
  with Neural Networks
An Empirical Survey of Data Augmentation for Time Series Classification with Neural Networks
Brian Kenji Iwana
S. Uchida
AI4TS
88
504
0
31 Jul 2020
Benchmarking Multivariate Time Series Classification Algorithms
Benchmarking Multivariate Time Series Classification Algorithms
Alejandro Pasos Ruiz
Michael Flynn
A. Bagnall
AI4TS
107
383
0
26 Jul 2020
Decoding 5G-NR Communications via Deep Learning
Decoding 5G-NR Communications via Deep Learning
P. Henarejos
Miguel Ángel Vázquez
13
7
0
15 Jul 2020
A Hybrid Deep Learning Model for Predictive Flood Warning and Situation
  Awareness using Channel Network Sensors Data
A Hybrid Deep Learning Model for Predictive Flood Warning and Situation Awareness using Channel Network Sensors Data
Shangjia Dong
Tianbo Yu
H. Farahmand
Ali Mostafavi
36
42
0
15 Jun 2020
Scoring and Assessment in Medical VR Training Simulators with Dynamic
  Time Series Classification
Scoring and Assessment in Medical VR Training Simulators with Dynamic Time Series Classification
N. Vaughan
Bogdan Gabrys
42
23
0
11 Jun 2020
Sequential Density Ratio Estimation for Simultaneous Optimization of
  Speed and Accuracy
Sequential Density Ratio Estimation for Simultaneous Optimization of Speed and Accuracy
Akinori F. Ebihara
Taiki Miyagawa
K. Sakurai
Hitoshi Imaoka
42
0
0
10 Jun 2020
Fast CRDNN: Towards on Site Training of Mobile Construction Machines
Fast CRDNN: Towards on Site Training of Mobile Construction Machines
Yusheng Xiang
Tian Tang
Tianqing Su
Christine Brach
Libo Liu
Samuel S. Mao
M. Geimer
29
18
0
04 Jun 2020
Driver Identification through Stochastic Multi-State Car-Following
  Modeling
Driver Identification through Stochastic Multi-State Car-Following Modeling
Donghao Xu
Zhezhang Ding
Chenfeng Tu
Huijing Zhao
M. Moze
François Aioun
F. Guillemard
26
1
0
22 May 2020
Adversarial Attacks on Multivariate Time Series
Adversarial Attacks on Multivariate Time Series
Samuel Harford
Fazle Karim
H. Darabi
AI4TSAAML
55
22
0
31 Mar 2020
Time Series Forecasting Using LSTM Networks: A Symbolic Approach
Time Series Forecasting Using LSTM Networks: A Symbolic Approach
S. Elsworth
S. Güttel
AI4TS
65
107
0
12 Mar 2020
Representation Learning on Variable Length and Incomplete
  Wearable-Sensory Time Series
Representation Learning on Variable Length and Incomplete Wearable-Sensory Time Series
Xian Wu
Chao Huang
Pablo Robles-Granda
Nitesh Chawla
AI4TS
74
15
0
10 Feb 2020
Residual Attention Net for Superior Cross-Domain Time Sequence Modeling
Residual Attention Net for Superior Cross-Domain Time Sequence Modeling
Seth H. Huang
Lingjie Xu
Congwei Jiang
AI4TS
131
10
0
13 Jan 2020
Convolutional Neural Networks with Intermediate Loss for 3D
  Super-Resolution of CT and MRI Scans
Convolutional Neural Networks with Intermediate Loss for 3D Super-Resolution of CT and MRI Scans
Mariana-Iuliana Georgescu
Radu Tudor Ionescu
N. Verga
SupRMedIm
85
46
0
05 Jan 2020
Discovery of Dynamics Using Linear Multistep Methods
Discovery of Dynamics Using Linear Multistep Methods
Rachael Keller
Q. Du
90
36
0
29 Dec 2019
Timage -- A Robust Time Series Classification Pipeline
Timage -- A Robust Time Series Classification Pipeline
Marc Wenninger
Sebastian P. Bayerl
Jochen Schmidt
Korbinian Riedhammer
45
7
0
19 Sep 2019
Meta-Learning for Few-Shot Time Series Classification
Meta-Learning for Few-Shot Time Series Classification
Jyoti Narwariya
Pankaj Malhotra
Lovekesh Vig
Gautam M. Shroff
T. Vishnu
154
60
0
13 Sep 2019
Automatic crack classification by exploiting statistical event
  descriptors for Deep Learning
Automatic crack classification by exploiting statistical event descriptors for Deep Learning
G. Siracusano
F. Garescì
G. Finocchio
R. Tomasello
F. Lamonaca
C. Scuro
M. Carpentieri
M. Chiappini
A. La Corte
14
25
0
24 Jul 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
Lovekesh Vig
Gautam M. Shroff
AI4TS
84
70
0
29 Apr 2019
Insights into LSTM Fully Convolutional Networks for Time Series
  Classification
Insights into LSTM Fully Convolutional Networks for Time Series Classification
Fazle Karim
Somshubra Majumdar
H. Darabi
AI4TS
81
169
0
27 Feb 2019
Adversarial Attacks on Time Series
Adversarial Attacks on Time Series
Fazle Karim
Somshubra Majumdar
H. Darabi
AI4TS
94
100
0
27 Feb 2019
WaveletAE: A Wavelet-enhanced Autoencoder for Wind Turbine Blade Icing
  Detection
WaveletAE: A Wavelet-enhanced Autoencoder for Wind Turbine Blade Icing Detection
Binhang Yuan
Chen Wang
Chen Luo
Fei Jiang
Mingsheng Long
Philip S. Yu
Yuan Liu
64
25
0
14 Feb 2019
Explainable Failure Predictions with RNN Classifiers based on Time
  Series Data
Explainable Failure Predictions with RNN Classifiers based on Time Series Data
I. Giurgiu
Anika Schumann
AI4TS
20
8
0
20 Jan 2019
NeuralWarp: Time-Series Similarity with Warping Networks
NeuralWarp: Time-Series Similarity with Warping Networks
Josif Grabocka
Lars Schmidt-Thieme
AI4TS
82
29
0
20 Dec 2018
Pathological Voice Classification Using Mel-Cepstrum Vectors and Support
  Vector Machine
Pathological Voice Classification Using Mel-Cepstrum Vectors and Support Vector Machine
M. Pishgar
Fazle Karim
Somshubra Majumdar
H. Darabi
32
33
0
19 Dec 2018
Deep Gated Recurrent and Convolutional Network Hybrid Model for
  Univariate Time Series Classification
Deep Gated Recurrent and Convolutional Network Hybrid Model for Univariate Time Series Classification
Nelly Elsayed
Anthony Maida
Magdy A. Bayoumi
100
70
0
18 Dec 2018
A Deep Neural Network for Unsupervised Anomaly Detection and Diagnosis
  in Multivariate Time Series Data
A Deep Neural Network for Unsupervised Anomaly Detection and Diagnosis in Multivariate Time Series Data
Chuxu Zhang
Dongjin Song
Yuncong Chen
Xinyang Feng
C. Lumezanu
Wei Cheng
Jingchao Ni
Bo Zong
Haifeng Chen
Nitesh Chawla
AI4TS
190
707
0
20 Nov 2018
Deep Smoke Segmentation
Deep Smoke Segmentation
Feiniu Yuan
Lin Zhang
Xue Xia
Boyang Wan
Qinghua Huang
Xuelong Li
52
104
0
04 Sep 2018
Detecting and interpreting myocardial infarction using fully
  convolutional neural networks
Detecting and interpreting myocardial infarction using fully convolutional neural networks
Nils Strodthoff
C. Strodthoff
100
154
0
18 Jun 2018
Reservoir computing approaches for representation and classification of
  multivariate time series
Reservoir computing approaches for representation and classification of multivariate time series
F. Bianchi
Simone Scardapane
Sigurd Løkse
Robert Jenssen
AI4TS
98
145
0
21 Mar 2018
A High GOPs/Slice Time Series Classifier for Portable and Embedded
  Biomedical Applications
A High GOPs/Slice Time Series Classifier for Portable and Embedded Biomedical Applications
H. Soleimani
Aliasghar
Makhlooghpour
Wilten Nicola
Claudia Clopath
E. Drakakis
20
2
0
27 Feb 2018
Multivariate LSTM-FCNs for Time Series Classification
Multivariate LSTM-FCNs for Time Series Classification
Fazle Karim
Somshubra Majumdar
H. Darabi
Samuel Harford
AI4TS
94
839
0
14 Jan 2018
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