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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
    AIMat
    AI4TS
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Papers citing "LSTM Fully Convolutional Networks for Time Series Classification"

16 / 16 papers shown
Title
ScarceGAN: Discriminative Classification Framework for Rare Class Identification for Longitudinal Data with Weak Prior
ScarceGAN: Discriminative Classification Framework for Rare Class Identification for Longitudinal Data with Weak Prior
Surajit Chakrabarty
Rukma Talwadker
Tridib Mukherjee
GAN
82
3
0
02 May 2025
Evaluation of (Un-)Supervised Machine Learning Methods for GNSS Interference Classification with Real-World Data Discrepancies
Evaluation of (Un-)Supervised Machine Learning Methods for GNSS Interference Classification with Real-World Data Discrepancies
Lucas Heublein
Nisha Lakshmana Raichur
Tobias Feigl
Tobias Brieger
Fin Heuer
Lennart Asbach
A. Rügamer
Felix Ott
131
7
0
31 Mar 2025
EEG Artifact Detection and Correction with Deep Autoencoders
EEG Artifact Detection and Correction with Deep Autoencoders
David Aquilué-Llorens
Aureli Soria-Frisch
85
0
0
12 Feb 2025
Snapshot Ensembles: Train 1, get M for free
Snapshot Ensembles: Train 1, get M for free
Gao Huang
Yixuan Li
Geoff Pleiss
Zhuang Liu
John E. Hopcroft
Kilian Q. Weinberger
OOD
FedML
UQCV
113
942
0
01 Apr 2017
Fast and Accurate Time Series Classification with WEASEL
Fast and Accurate Time Series Classification with WEASEL
Patrick Schäfer
Ulf Leser
61
241
0
26 Jan 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
57
1,646
0
20 Nov 2016
Temporal Convolutional Networks: A Unified Approach to Action
  Segmentation
Temporal Convolutional Networks: A Unified Approach to Action Segmentation
Colin S. Lea
René Vidal
A. Reiter
Gregory Hager
60
747
0
29 Aug 2016
Parametric Exponential Linear Unit for Deep Convolutional Neural
  Networks
Parametric Exponential Linear Unit for Deep Convolutional Neural Networks
Ludovic Trottier
Philippe Giguère
B. Chaib-draa
55
199
0
30 May 2016
Multi-Scale Convolutional Neural Networks for Time Series Classification
Multi-Scale Convolutional Neural Networks for Time Series Classification
Zhicheng Cui
Wenlin Chen
Yixin Chen
27
564
0
22 Mar 2016
Batch Normalization: Accelerating Deep Network Training by Reducing
  Internal Covariate Shift
Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift
Sergey Ioffe
Christian Szegedy
OOD
328
43,154
0
11 Feb 2015
Delving Deep into Rectifiers: Surpassing Human-Level Performance on
  ImageNet Classification
Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
VLM
200
18,534
0
06 Feb 2015
Adam: A Method for Stochastic Optimization
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
840
149,474
0
22 Dec 2014
How transferable are features in deep neural networks?
How transferable are features in deep neural networks?
J. Yosinski
Jeff Clune
Yoshua Bengio
Hod Lipson
OOD
148
8,309
0
06 Nov 2014
Neural Machine Translation by Jointly Learning to Align and Translate
Neural Machine Translation by Jointly Learning to Align and Translate
Dzmitry Bahdanau
Kyunghyun Cho
Yoshua Bengio
AIMat
390
27,205
0
01 Sep 2014
How to Construct Deep Recurrent Neural Networks
How to Construct Deep Recurrent Neural Networks
Razvan Pascanu
Çağlar Gülçehre
Kyunghyun Cho
Yoshua Bengio
90
1,008
0
20 Dec 2013
Network In Network
Network In Network
Min Lin
Qiang Chen
Shuicheng Yan
227
6,267
0
16 Dec 2013
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