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Multivariate LSTM-FCNs for Time Series Classification

Multivariate LSTM-FCNs for Time Series Classification

14 January 2018
Fazle Karim
Somshubra Majumdar
H. Darabi
Samuel Harford
    AI4TS
ArXivPDFHTML

Papers citing "Multivariate LSTM-FCNs for Time Series Classification"

45 / 45 papers shown
Title
Intelligently Augmented Contrastive Tensor Factorization: Empowering Multi-dimensional Time Series Classification in Low-Data Environments
Intelligently Augmented Contrastive Tensor Factorization: Empowering Multi-dimensional Time Series Classification in Low-Data Environments
Anushiya Arunan
Yan Qin
Xiaoli Li
Yuen Chau
AI4TS
21
0
0
03 May 2025
PHEATPRUNER: Interpretable Data-centric Feature Selection for Multivariate Time Series Classification through Persistent Homology
PHEATPRUNER: Interpretable Data-centric Feature Selection for Multivariate Time Series Classification through Persistent Homology
Anh-Duy Pham
Olivier Basole Kashongwe
Martin Atzmueller
Tim Romer
34
0
0
25 Apr 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
N. Raichur
Tobias Feigl
Tobias Brieger
Fin Heuer
Lennart Asbach
A. Rügamer
Felix Ott
49
7
0
31 Mar 2025
A Lightweight and Interpretable Deepfakes Detection Framework
A Lightweight and Interpretable Deepfakes Detection Framework
Muhammad Umar Farooq
A. Javed
K. Malik
Muhammad Anas Raza
CVBM
53
0
0
21 Jan 2025
AdaFSNet: Time Series Classification Based on Convolutional Network with
  a Adaptive and Effective Kernel Size Configuration
AdaFSNet: Time Series Classification Based on Convolutional Network with a Adaptive and Effective Kernel Size Configuration
Haoxiao Wang
Bo Peng
Jianhua Zhang
Xu Cheng
AI4TS
39
1
0
28 Apr 2024
Unsupervised Multi-modal Feature Alignment for Time Series Representation Learning
Unsupervised Multi-modal Feature Alignment for Time Series Representation Learning
Cheng Liang
Donghua Yang
Zhiyu Liang
Hongzhi Wang
Zheng Liang
Xiyang Zhang
Jianfeng Huang
AI4TS
134
1
0
09 Dec 2023
Monitoring Sustainable Global Development Along Shared Socioeconomic
  Pathways
Monitoring Sustainable Global Development Along Shared Socioeconomic Pathways
Michelle W.L. Wan
Jeffrey N Clark
Edward A. Small
Elena Fillola Mayoral
Raúl Santos-Rodríguez
26
0
0
07 Dec 2023
Pyramidal Hidden Markov Model For Multivariate Time Series Forecasting
Pyramidal Hidden Markov Model For Multivariate Time Series Forecasting
YeXin Huang
AI4TS
25
0
0
22 Oct 2023
Time-Series Classification in Smart Manufacturing Systems: An
  Experimental Evaluation of State-of-the-Art Machine Learning Algorithms
Time-Series Classification in Smart Manufacturing Systems: An Experimental Evaluation of State-of-the-Art Machine Learning Algorithms
Mojtaba A. Farahani
M. R. McCormick
R. Harik
Thorsten Wuest
25
18
0
04 Oct 2023
Diagnostic Spatio-temporal Transformer with Faithful Encoding
Diagnostic Spatio-temporal Transformer with Faithful Encoding
Jokin Labaien
T. Idé
Pin-Yu Chen
E. Zugasti
Xabier De Carlos
49
2
0
26 May 2023
MedLens: Improve Mortality Prediction Via Medical Signs Selecting and
  Regression
MedLens: Improve Mortality Prediction Via Medical Signs Selecting and Regression
Xuesong Ye
Jun Wu
Chengjie Mou
Weina Dai
19
12
0
19 May 2023
TodyNet: Temporal Dynamic Graph Neural Network for Multivariate Time
  Series Classification
TodyNet: Temporal Dynamic Graph Neural Network for Multivariate Time Series Classification
Huaiyuan Liu
Xianzhang Liu
Donghua Yang
Zhiyu Liang
Hongzhi Wang
Yong Cui
Jun Gu
AI4TS
35
28
0
11 Apr 2023
Pixel-wise Agricultural Image Time Series Classification: Comparisons
  and a Deformable Prototype-based Approach
Pixel-wise Agricultural Image Time Series Classification: Comparisons and a Deformable Prototype-based Approach
Elliot Vincent
Jean Ponce
Mathieu Aubry
AI4TS
11
5
0
22 Mar 2023
LiteLSTM Architecture Based on Weights Sharing for Recurrent Neural
  Networks
LiteLSTM Architecture Based on Weights Sharing for Recurrent Neural Networks
Nelly Elsayed
Zag ElSayed
Anthony Maida
24
0
0
12 Jan 2023
ABODE-Net: An Attention-based Deep Learning Model for Non-intrusive
  Building Occupancy Detection Using Smart Meter Data
ABODE-Net: An Attention-based Deep Learning Model for Non-intrusive Building Occupancy Detection Using Smart Meter Data
Zhirui Luo
Ruobin Qi
Qingqing Li
Jun Zheng
Sihua Shao
25
3
0
21 Dec 2022
Dynamic Sparse Network for Time Series Classification: Learning What to
  "see''
Dynamic Sparse Network for Time Series Classification: Learning What to "see''
Qiao Xiao
Boqian Wu
Yu Zhang
Shiwei Liu
Mykola Pechenizkiy
Elena Mocanu
D. Mocanu
AI4TS
30
28
0
19 Dec 2022
Classification of multivariate functional data on different domains with
  Partial Least Squares approaches
Classification of multivariate functional data on different domains with Partial Least Squares approaches
Issam-Ali Moindjié
S. Dabo‐Niang
C. Preda
17
7
0
18 Dec 2022
Unsupervised Recurrent Federated Learning for Edge Popularity Prediction
  in Privacy-Preserving Mobile Edge Computing Networks
Unsupervised Recurrent Federated Learning for Edge Popularity Prediction in Privacy-Preserving Mobile Edge Computing Networks
Chong Zheng
Shengheng Liu
Yongming Huang
Wei Zhang
Luxi Yang
12
20
0
02 Jul 2022
ML-Based Approach for NFL Defensive Pass Interference Prediction Using
  GPS Tracking Data
ML-Based Approach for NFL Defensive Pass Interference Prediction Using GPS Tracking Data
Arian Skoki
J. Lerga
Ivan Štajduhar
11
3
0
24 Jun 2022
DPar2: Fast and Scalable PARAFAC2 Decomposition for Irregular Dense
  Tensors
DPar2: Fast and Scalable PARAFAC2 Decomposition for Irregular Dense Tensors
Jun-Gi Jang
U. Kang
11
11
0
24 Mar 2022
Continual Learning for Multivariate Time Series Tasks with Variable
  Input Dimensions
Continual Learning for Multivariate Time Series Tasks with Variable Input Dimensions
Vibhor Gupta
Jyoti Narwariya
Pankaj Malhotra
L. Vig
Gautam M. Shroff
AI4TS
19
20
0
14 Mar 2022
Forecasting the abnormal events at well drilling with machine learning
Forecasting the abnormal events at well drilling with machine learning
E. Gurina
Nikita Klyuchnikov
Ksenia Antipova
D. Koroteev
MedIm
AI4CE
30
17
0
10 Mar 2022
Intra-domain and cross-domain transfer learning for time series data --
  How transferable are the features?
Intra-domain and cross-domain transfer learning for time series data -- How transferable are the features?
Erik Otović
Marko Njirjak
Dario Jozinović
G. Mauša
A. Michelini
Ivan Štajduhar
AI4TS
20
40
0
12 Jan 2022
Towards Similarity-Aware Time-Series Classification
Towards Similarity-Aware Time-Series Classification
Daochen Zha
Kwei-Herng Lai
Kaixiong Zhou
Xia Hu
AI4TS
21
24
0
05 Jan 2022
An Efficient Federated Distillation Learning System for Multi-task Time
  Series Classification
An Efficient Federated Distillation Learning System for Multi-task Time Series Classification
Huanlai Xing
Zhiwen Xiao
R. Qu
Zonghai Zhu
Bowen Zhao
FedML
35
108
0
30 Dec 2021
Deep Efficient Continuous Manifold Learning for Time Series Modeling
Deep Efficient Continuous Manifold Learning for Time Series Modeling
Seungwoo Jeong
Wonjun Ko
A. Mulyadi
Heung-Il Suk
AI4TS
23
8
0
03 Dec 2021
Uncertainty-Aware Multiple Instance Learning from Large-Scale Long Time
  Series Data
Uncertainty-Aware Multiple Instance Learning from Large-Scale Long Time Series Data
Yuansheng Zhu
Weishi Shi
Deepshikha Pandey
Yang Liu
Xiaofan Que
Daniel E. Krutz
Qi Yu
EDL
AI4TS
27
5
0
16 Nov 2021
A Multi-scale Time-series Dataset with Benchmark for Machine Learning in
  Decarbonized Energy Grids
A Multi-scale Time-series Dataset with Benchmark for Machine Learning in Decarbonized Energy Grids
Xiangtian Zheng
Nan Xu
Loc Trinh
Dongqi Wu
Tong Huang
S. Sivaranjani
Yan Liu
Le Xie
AI4CE
15
43
0
12 Oct 2021
Digital Signal Processing Using Deep Neural Networks
Digital Signal Processing Using Deep Neural Networks
Brian Shevitski
Y. Watkins
Nicole Man
Michael Girard
AI4CE
18
4
0
21 Sep 2021
Automated Label Generation for Time Series Classification with
  Representation Learning: Reduction of Label Cost for Training
Automated Label Generation for Time Series Classification with Representation Learning: Reduction of Label Cost for Training
S. Bandyopadhyay
Anish Datta
A. Pal
AI4TS
11
2
0
12 Jul 2021
Online structural health monitoring by model order reduction and deep
  learning algorithms
Online structural health monitoring by model order reduction and deep learning algorithms
Luca Rosafalco
Matteo Torzoni
Andrea Manzoni
S. Mariani
A. Corigliano
OffRL
19
48
0
26 Mar 2021
Learning a Proposal Classifier for Multiple Object Tracking
Learning a Proposal Classifier for Multiple Object Tracking
Peng Dai
Renliang Weng
Wongun Choi
Changshui Zhang
Zhangping He
Wei Ding
VOT
39
87
0
14 Mar 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
30
28
0
28 Jan 2021
Memory-Gated Recurrent Networks
Memory-Gated Recurrent Networks
Yaquan Zhang
Qi Wu
Nanbo Peng
Min Dai
Jing Zhang
Hu Wang
BDL
AI4TS
17
7
0
24 Dec 2020
TimeSHAP: Explaining Recurrent Models through Sequence Perturbations
TimeSHAP: Explaining Recurrent Models through Sequence Perturbations
João Bento
Pedro Saleiro
André F. Cruz
Mário A. T. Figueiredo
P. Bizarro
FAtt
AI4TS
14
88
0
30 Nov 2020
Gated Res2Net for Multivariate Time Series Analysis
Gated Res2Net for Multivariate Time Series Analysis
Chao Yang
Mingxing Jiang
Zhongwen Guo
Yuan Liu
AI4TS
28
8
0
19 Sep 2020
Collaborative Attention Mechanism for Multi-View Action Recognition
Collaborative Attention Mechanism for Multi-View Action Recognition
Yue Bai
Zhiqiang Tao
Lichen Wang
Sheng R. Li
Yu Yin
Y. Fu
HAI
21
16
0
14 Sep 2020
A Performance-Explainability Framework to Benchmark Machine Learning
  Methods: Application to Multivariate Time Series Classifiers
A Performance-Explainability Framework to Benchmark Machine Learning Methods: Application to Multivariate Time Series Classifiers
Kevin Fauvel
Véronique Masson
Elisa Fromont
AI4TS
31
17
0
29 May 2020
XEM: An Explainable-by-Design Ensemble Method for Multivariate Time
  Series Classification
XEM: An Explainable-by-Design Ensemble Method for Multivariate Time Series Classification
Kevin Fauvel
Elisa Fromont
Véronique Masson
P. Faverdin
Alexandre Termier
AI4TS
12
41
0
07 May 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
Tianyi Zhou
Michael Blumenstein
Jing Jiang
AI4TS
16
99
0
24 Feb 2020
Exploiting Neuron and Synapse Filter Dynamics in Spatial Temporal
  Learning of Deep Spiking Neural Network
Exploiting Neuron and Synapse Filter Dynamics in Spatial Temporal Learning of Deep Spiking Neural Network
Haowen Fang
Amar Shrestha
Ziyi Zhao
Qinru Qiu
14
119
0
19 Feb 2020
Fully convolutional networks for structural health monitoring through
  multivariate time series classification
Fully convolutional networks for structural health monitoring through multivariate time series classification
Luca Rosafalco
Andrea Manzoni
S. Mariani
A. Corigliano
11
49
0
12 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
18
10
0
13 Jan 2020
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
11
168
0
27 Feb 2019
Detecting and interpreting myocardial infarction using fully
  convolutional neural networks
Detecting and interpreting myocardial infarction using fully convolutional neural networks
Nils Strodthoff
C. Strodthoff
30
150
0
18 Jun 2018
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