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Classification of Time-Series Images Using Deep Convolutional Neural
  Networks
v1v2 (latest)

Classification of Time-Series Images Using Deep Convolutional Neural Networks

2 October 2017
Nima Hatami
Y. Gavet
J. Debayle
ArXiv (abs)PDFHTML

Papers citing "Classification of Time-Series Images Using Deep Convolutional Neural Networks"

34 / 34 papers shown
Title
Harnessing Vision Models for Time Series Analysis: A Survey
Harnessing Vision Models for Time Series Analysis: A Survey
Jingchao Ni
Ziming Zhao
ChengAo Shen
Hanghang Tong
Dongjin Song
Wei Cheng
Dongsheng Luo
Haifeng Chen
AI4TS
180
6
0
13 Feb 2025
TimEHR: Image-based Time Series Generation for Electronic Health Records
TimEHR: Image-based Time Series Generation for Electronic Health Records
Hojjat Karami
Mary-Anne Hartley
David Atienza
Anisoara Ionescu
70
4
0
09 Feb 2024
A Dynamic Temporal Self-attention Graph Convolutional Network for
  Traffic Prediction
A Dynamic Temporal Self-attention Graph Convolutional Network for Traffic Prediction
Ruiyuan Jiang
Shangbo Wang
Yuli Zhang
AI4TS
40
0
0
21 Feb 2023
Deep Learning for Time Series Classification and Extrinsic Regression: A
  Current Survey
Deep Learning for Time Series Classification and Extrinsic Regression: A Current Survey
Navid Mohammadi Foumani
Lynn Miller
Chang Wei Tan
G. I. Webb
Germain Forestier
Mahsa Salehi
BDLAI4TS
149
108
0
06 Feb 2023
Semi-supervised multiscale dual-encoding method for faulty traffic data
  detection
Semi-supervised multiscale dual-encoding method for faulty traffic data detection
Yongcan Huang
Jidong J. Yang
ViT
66
5
0
27 Dec 2022
Investigating Temporal Convolutional Neural Networks for Satellite Image
  Time Series Classification: A survey
Investigating Temporal Convolutional Neural Networks for Satellite Image Time Series Classification: A survey
James Brock
Zahraa S Abdallah
47
4
0
13 Apr 2022
Spectral Propagation Graph Network for Few-shot Time Series
  Classification
Spectral Propagation Graph Network for Few-shot Time Series Classification
Ling Yang
linda Qiao
Luxia Zhang
68
2
0
08 Feb 2022
Pre-Trained Language Transformers are Universal Image Classifiers
Pre-Trained Language Transformers are Universal Image Classifiers
Rahul Goel
Modar Sulaiman
Kimia Noorbakhsh
Mahdieh Sharifi
Ragunath R. Sharma
Pooyan Jamshidi
Kallol Roy
ViT
34
3
0
25 Jan 2022
Deep Neural Networks on EEG Signals to Predict Auditory Attention Score
  Using Gramian Angular Difference Field
Deep Neural Networks on EEG Signals to Predict Auditory Attention Score Using Gramian Angular Difference Field
Mahak Kothari
Shreyansh Joshi
Adarsh Nandanwar
Aadetya Jaiswal
V. Baths
25
1
0
24 Oct 2021
Fully Homomorphically Encrypted Deep Learning as a Service
Fully Homomorphically Encrypted Deep Learning as a Service
George Onoufriou
Paul Mayfield
Georgios Leontidis
FedML
64
19
0
26 Jul 2021
Image Classifiers for Network Intrusions
Image Classifiers for Network Intrusions
David Noever
S. M. Noever
411
4
0
13 Mar 2021
A Novel CNN-LSTM-based Approach to Predict Urban Expansion
A Novel CNN-LSTM-based Approach to Predict Urban Expansion
W. Boulila
Hamza Ghandorh
M. Khan
Fawad Ahmed
Jawad Ahmad
118
104
0
02 Mar 2021
A Novel Multi-Stage Training Approach for Human Activity Recognition
  from Multimodal Wearable Sensor Data Using Deep Neural Network
A Novel Multi-Stage Training Approach for Human Activity Recognition from Multimodal Wearable Sensor Data Using Deep Neural Network
Tanvir Mahmud
A. S. Sazzad Sayyed
S. Fattah
S. Kung
HAI
25
26
0
03 Jan 2021
ConFuse: Convolutional Transform Learning Fusion Framework For
  Multi-Channel Data Analysis
ConFuse: Convolutional Transform Learning Fusion Framework For Multi-Channel Data Analysis
Pooja Gupta
Jyoti Maggu
A. Majumdar
Émilie Chouzenoux
Giovanni Chierchia
AI4TS
122
2
0
09 Nov 2020
Is Image Encoding Beneficial for Deep Learning in Finance? An Analysis
  of Image Encoding Methods for the Application of Convolutional Neural
  Networks in Finance
Is Image Encoding Beneficial for Deep Learning in Finance? An Analysis of Image Encoding Methods for the Application of Convolutional Neural Networks in Finance
Dan Wang
Tianrui Wang
I. Florescu
40
13
0
17 Oct 2020
Deep learning for time series classification
Deep learning for time series classification
Hassan Ismail Fawaz
BDLAI4TS
79
38
0
01 Oct 2020
Machine Learning in Airline Crew Pairing to Construct Initial Clusters
  for Dynamic Constraint Aggregation
Machine Learning in Airline Crew Pairing to Construct Initial Clusters for Dynamic Constraint Aggregation
Yassine Yaakoubi
F. Soumis
Simon Lacoste-Julien
AI4TS
46
25
0
30 Sep 2020
Flight-connection Prediction for Airline Crew Scheduling to Construct
  Initial Clusters for OR Optimizer
Flight-connection Prediction for Airline Crew Scheduling to Construct Initial Clusters for OR Optimizer
Yassine Yaakoubi
F. Soumis
Simon Lacoste-Julien
51
9
0
26 Sep 2020
Piece-wise Matching Layer in Representation Learning for ECG
  Classification
Piece-wise Matching Layer in Representation Learning for ECG Classification
B. Ghazanfari
Fatemeh Afghah
Sixian Zhang
AI4TS
34
0
0
26 Sep 2020
Towards Improved Human Action Recognition Using Convolutional Neural
  Networks and Multimodal Fusion of Depth and Inertial Sensor Data
Towards Improved Human Action Recognition Using Convolutional Neural Networks and Multimodal Fusion of Depth and Inertial Sensor Data
Zeeshan Ahmad
N. Khan
54
17
0
22 Aug 2020
Encoding Power Traces as Images for Efficient Side-Channel Analysis
Encoding Power Traces as Images for Efficient Side-Channel Analysis
Benjamin Hettwer
Tobias Horn
Stefan Gehrer
Tim Güneysu
AAML
52
27
0
23 Apr 2020
Implementation of Deep Neural Networks to Classify EEG Signals using
  Gramian Angular Summation Field for Epilepsy Diagnosis
Implementation of Deep Neural Networks to Classify EEG Signals using Gramian Angular Summation Field for Epilepsy Diagnosis
Palani Thanaraj Krishnan
B. Parvathavarthini
U. Tanik
V. Rajinikanth
Seifedine Kadry
K. Kamalanand
45
46
0
08 Mar 2020
Complexity Measures and Features for Times Series classification
Complexity Measures and Features for Times Series classification
Francisco Javier Baldan
J. M. Benítez
75
20
0
27 Feb 2020
Motif Difference Field: A Simple and Effective Image Representation of
  Time Series for Classification
Motif Difference Field: A Simple and Effective Image Representation of Time Series for Classification
Yadong Zhang
Xin Chen
AI4TS
30
2
0
21 Jan 2020
Human Action Recognition Using Deep Multilevel Multimodal (M2) Fusion of
  Depth and Inertial Sensors
Human Action Recognition Using Deep Multilevel Multimodal (M2) Fusion of Depth and Inertial Sensors
Zeeshan Ahmad
N. Khan
67
43
0
25 Oct 2019
Self-attention for raw optical Satellite Time Series Classification
Self-attention for raw optical Satellite Time Series Classification
M. Rußwurm
Marco Körner
AI4TS
88
268
0
23 Oct 2019
Deep Learning Detection of Inaccurate Smart Electricity Meters: A Case
  Study
Deep Learning Detection of Inaccurate Smart Electricity Meters: A Case Study
Ming Liu
Dongpeng Liu
Guangyu Sun
Yi Zhao
Duolin Wang
Fangxing Liu
Xiang Fang
Qing He
Dong Xu
27
1
0
26 Jul 2019
Trading via Image Classification
Trading via Image Classification
N. Cohen
T. Balch
Manuela Veloso
90
34
0
23 Jul 2019
Anomaly detection with Wasserstein GAN
Anomaly detection with Wasserstein GAN
I. Haloui
J. Gupta
Vincent Feuillard
GANAI4TS
60
14
0
06 Dec 2018
Precipitation Nowcasting: Leveraging bidirectional LSTM and 1D CNN
Precipitation Nowcasting: Leveraging bidirectional LSTM and 1D CNN
Maitreya Patel
Anery Patel
R. Ghosh
27
8
0
24 Oct 2018
Deep learning for time series classification: a review
Deep learning for time series classification: a review
Hassan Ismail Fawaz
Germain Forestier
J. Weber
L. Idoumghar
Pierre-Alain Muller
AI4TSAI4CE
376
2,723
0
12 Sep 2018
Magnetic Resonance Spectroscopy Quantification using Deep Learning
Magnetic Resonance Spectroscopy Quantification using Deep Learning
Nima Hatami
M. Sdika
H. Ratiney
53
42
0
19 Jun 2018
Towards a universal neural network encoder for time series
Towards a universal neural network encoder for time series
Joan Serrà
Santiago Pascual
Alexandros Karatzoglou
AI4TS
84
122
0
10 May 2018
Bag of Recurrence Patterns Representation for Time-Series Classification
Bag of Recurrence Patterns Representation for Time-Series Classification
Nima Hatami
Y. Gavet
J. Debayle
49
39
0
29 Mar 2018
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