ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1611.06455
  4. Cited By
Time Series Classification from Scratch with Deep Neural Networks: A
  Strong Baseline

Time Series Classification from Scratch with Deep Neural Networks: A Strong Baseline

20 November 2016
Zhiguang Wang
Weizhong Yan
Tim Oates
    AI4TS
ArXivPDFHTML

Papers citing "Time Series Classification from Scratch with Deep Neural Networks: A Strong Baseline"

50 / 148 papers shown
Title
An Empirical Evaluation of Multivariate Time Series Classification with
  Input Transformation across Different Dimensions
An Empirical Evaluation of Multivariate Time Series Classification with Input Transformation across Different Dimensions
Leonardos Pantiskas
K. Verstoep
Mark Hoogendoorn
Henri E. Bal
AI4TS
24
1
0
14 Oct 2022
Distributed Distributionally Robust Optimization with Non-Convex
  Objectives
Distributed Distributionally Robust Optimization with Non-Convex Objectives
Yang Jiao
Kai Yang
Dongjin Song
29
11
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
21
1
0
13 Oct 2022
Transformer-based conditional generative adversarial network for
  multivariate time series generation
Transformer-based conditional generative adversarial network for multivariate time series generation
Abdellah Madane
M. Dilmi
Florent Forest
Hanane Azzag
M. Lebbah
J. Lacaille
30
10
0
05 Oct 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
24
0
0
22 Sep 2022
Towards Inclusive HRI: Using Sim2Real to Address Underrepresentation in
  Emotion Expression Recognition
Towards Inclusive HRI: Using Sim2Real to Address Underrepresentation in Emotion Expression Recognition
Saba Akhyani
Mehryar Abbasi Boroujeni
Mo Chen
Angelica Lim
44
4
0
15 Aug 2022
Detecting COVID-19 from digitized ECG printouts using 1D convolutional
  neural networks
Detecting COVID-19 from digitized ECG printouts using 1D convolutional neural networks
Thao Nguyen
Hieu H. Pham
Huy Le
A. Nguyen
Ngo Tien Thanh
Cuong D. Do
32
12
0
10 Aug 2022
fMRI-S4: learning short- and long-range dynamic fMRI dependencies using
  1D Convolutions and State Space Models
fMRI-S4: learning short- and long-range dynamic fMRI dependencies using 1D Convolutions and State Space Models
A. E. Gazzar
R. Thomas
G. Wingen
22
3
0
08 Aug 2022
Training Robust Deep Models for Time-Series Domain: Novel Algorithms and
  Theoretical Analysis
Training Robust Deep Models for Time-Series Domain: Novel Algorithms and Theoretical Analysis
Taha Belkhouja
Yan Yan
J. Doppa
OOD
AI4TS
38
9
0
09 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
24
2
0
08 Jul 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
27
38
0
30 May 2022
ConfLab: A Data Collection Concept, Dataset, and Benchmark for Machine
  Analysis of Free-Standing Social Interactions in the Wild
ConfLab: A Data Collection Concept, Dataset, and Benchmark for Machine Analysis of Free-Standing Social Interactions in the Wild
Chirag Raman
Jose Vargas-Quiros
Stephanie Tan
Ashraful Islam
Ekin Gedik
Hayley Hung
19
8
0
10 May 2022
Assessing unconstrained surgical cuttings in VR using CNNs
Assessing unconstrained surgical cuttings in VR using CNNs
Ilias Chrysovergis
Manos N. Kamarianakis
Mike Kentros
Dimitris Angelís
Antonis I Protopsaltis
George Papagiannakis
21
1
0
02 May 2022
End-to-End Signal Classification in Signed Cumulative Distribution
  Transform Space
End-to-End Signal Classification in Signed Cumulative Distribution Transform Space
A. Rubaiyat
Shiying Li
Xuwang Yin
M. Shifat-E.-Rabbi
Zhuang Yan
Gustavo K. Rohde
22
13
0
30 Apr 2022
Few-Shot Forecasting of Time-Series with Heterogeneous Channels
Few-Shot Forecasting of Time-Series with Heterogeneous Channels
L. Brinkmeyer
Rafael Rêgo Drumond
Johannes Burchert
Lars Schmidt-Thieme
AI4TS
28
7
0
07 Apr 2022
Domain Adaptation for Time-Series Classification to Mitigate Covariate
  Shift
Domain Adaptation for Time-Series Classification to Mitigate Covariate Shift
Felix Ott
David Rügamer
Lucas Heublein
Bernd Bischl
Christopher Mutschler
OOD
TTA
AI4TS
33
31
0
07 Apr 2022
Mixing Up Contrastive Learning: Self-Supervised Representation Learning
  for Time Series
Mixing Up Contrastive Learning: Self-Supervised Representation Learning for Time Series
Kristoffer Wickstrøm
Michael C. Kampffmeyer
Karl Øyvind Mikalsen
Robert Jenssen
SSL
AI4TS
20
94
0
17 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
CaSS: A Channel-aware Self-supervised Representation Learning Framework
  for Multivariate Time Series Classification
CaSS: A Channel-aware Self-supervised Representation Learning Framework for Multivariate Time Series Classification
Yijiang Chen
Xiangdong Zhou
Zhen Xing
Zhidan Liu
Minyang Xu
AI4TS
SSL
29
5
0
08 Mar 2022
Statistics and Deep Learning-based Hybrid Model for Interpretable
  Anomaly Detection
Statistics and Deep Learning-based Hybrid Model for Interpretable Anomaly Detection
Thabang Mathonsi
Terence L van Zyl
35
0
0
25 Feb 2022
Explainable Machine Learning for Breakdown Prediction in High Gradient
  RF Cavities
Explainable Machine Learning for Breakdown Prediction in High Gradient RF Cavities
Christoph Obermair
T. Cartier-Michaud
A. Apollonio
W. Millar
L. Felsberger
...
W. Wuensch
N. C. Lasheras
M. Boronat
Franz Pernkopf
G. Burt
25
10
0
10 Feb 2022
Towards Similarity-Aware Time-Series Classification
Towards Similarity-Aware Time-Series Classification
Daochen Zha
Kwei-Herng Lai
Kaixiong Zhou
Xia Hu
AI4TS
25
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
TSAX is Trending
TSAX is Trending
Muhammad Fuad
AI4TS
32
1
0
24 Dec 2021
Animal Behavior Classification via Accelerometry Data and Recurrent
  Neural Networks
Animal Behavior Classification via Accelerometry Data and Recurrent Neural Networks
Liang Wang
Reza Arablouei
F. Alvarenga
G. Bishop-Hurley
35
2
0
24 Nov 2021
Dynamic Data Augmentation with Gating Networks for Time Series
  Recognition
Dynamic Data Augmentation with Gating Networks for Time Series Recognition
Daisuke Oba
Shinnosuke Matsuo
Brian Kenji Iwana
AI4TS
26
1
0
05 Nov 2021
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
18
1
0
24 Oct 2021
Black-box Adversarial Attacks on Network-wide Multi-step Traffic State
  Prediction Models
Black-box Adversarial Attacks on Network-wide Multi-step Traffic State Prediction Models
Bibek Poudel
Weizi Li
AAML
MLAU
OOD
11
20
0
17 Oct 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
41
44
0
12 Oct 2021
Predictive Maintenance for General Aviation Using Convolutional
  Transformers
Predictive Maintenance for General Aviation Using Convolutional Transformers
Hong Yang
Aidan P. LaBella
Travis J. Desell
AI4TS
28
5
0
07 Oct 2021
Towards Robust and Transferable IIoT Sensor based Anomaly Classification
  using Artificial Intelligence
Towards Robust and Transferable IIoT Sensor based Anomaly Classification using Artificial Intelligence
J. Kemnitz
T. Bierweiler
H. Grieb
Stefan von Dosky
Daniel Schall
OOD
24
5
0
07 Oct 2021
Improving Time Series Classification Algorithms Using
  Octave-Convolutional Layers
Improving Time Series Classification Algorithms Using Octave-Convolutional Layers
Samuel Harford
Fazle Karim
H. Darabi
AI4TS
22
1
0
28 Sep 2021
XAI Methods for Neural Time Series Classification: A Brief Review
XAI Methods for Neural Time Series Classification: A Brief Review
Ilija vSimić
Vedran Sabol
Eduardo E. Veas
BDL
AI4TS
27
13
0
18 Aug 2021
An Evaluation of Machine Learning and Deep Learning Models for Drought
  Prediction using Weather Data
An Evaluation of Machine Learning and Deep Learning Models for Drought Prediction using Weather Data
Weiwei Jiang
Jiayun Luo
27
16
0
06 Jul 2021
Time-Series Representation Learning via Temporal and Contextual
  Contrasting
Time-Series Representation Learning via Temporal and Contextual Contrasting
Emadeldeen Eldele
Mohamed Ragab
Zhenghua Chen
Min-man Wu
C. Kwoh
Xiaoli Li
Cuntai Guan
AI4TS
42
492
0
26 Jun 2021
Voice2Series: Reprogramming Acoustic Models for Time Series
  Classification
Voice2Series: Reprogramming Acoustic Models for Time Series Classification
Chao-Han Huck Yang
Yun-Yun Tsai
Pin-Yu Chen
AI4TS
29
122
0
17 Jun 2021
ConCAD: Contrastive Learning-based Cross Attention for Sleep Apnea
  Detection
ConCAD: Contrastive Learning-based Cross Attention for Sleep Apnea Detection
Guanjie Huang
Fenglong Ma
29
10
0
07 May 2021
Estimating the electrical power output of industrial devices with
  end-to-end time-series classification in the presence of label noise
Estimating the electrical power output of industrial devices with end-to-end time-series classification in the presence of label noise
Andrea Castellani
Sebastian Schmitt
Barbara Hammer
NoLa
38
18
0
01 May 2021
Predicting Intraoperative Hypoxemia with Hybrid Inference Sequence
  Autoencoder Networks
Predicting Intraoperative Hypoxemia with Hybrid Inference Sequence Autoencoder Networks
Hanyang Liu
Michael C. Montana
Dingwen Li
Chase Renfroe
Thomas Kannampallil
Chenyang Lu
41
3
0
30 Apr 2021
Explainable Artificial Intelligence (XAI) on TimeSeries Data: A Survey
Explainable Artificial Intelligence (XAI) on TimeSeries Data: A Survey
Thomas Rojat
Raphael Puget
David Filliat
Javier Del Ser
R. Gelin
Natalia Díaz Rodríguez
XAI
AI4TS
44
128
0
02 Apr 2021
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
41
130
0
26 Mar 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
27
48
0
26 Mar 2021
The Hintons in your Neural Network: a Quantum Field Theory View of Deep
  Learning
The Hintons in your Neural Network: a Quantum Field Theory View of Deep Learning
Roberto Bondesan
Max Welling
42
7
0
08 Mar 2021
Self-Augmented Multi-Modal Feature Embedding
Self-Augmented Multi-Modal Feature Embedding
Shinnosuke Matsuo
S. Uchida
Brian Kenji Iwana
30
1
0
08 Mar 2021
A Spectral Enabled GAN for Time Series Data Generation
A Spectral Enabled GAN for Time Series Data Generation
Kaleb E. Smith
Anthony O. Smith
GAN
30
12
0
02 Mar 2021
Elastic Similarity and Distance Measures for Multivariate Time Series
Elastic Similarity and Distance Measures for Multivariate Time Series
Ahmed Shifaz
Charlotte Pelletier
F. Petitjean
Geoffrey I. Webb
AI4TS
38
18
0
20 Feb 2021
Deep State Inference: Toward Behavioral Model Inference of Black-box
  Software Systems
Deep State Inference: Toward Behavioral Model Inference of Black-box Software Systems
Foozhan Ataiefard
Mohammad Jafar Mashhadi
Hadi Hemmati
Neil Walkinshaw
MLAU
32
4
0
13 Jan 2021
Multi-Faceted Representation Learning with Hybrid Architecture for Time
  Series Classification
Multi-Faceted Representation Learning with Hybrid Architecture for Time Series Classification
Zhenyu Liu
Jian Cheng
AI4TS
21
0
0
21 Dec 2020
Fully Convolutional Network Bootstrapped by Word Encoding and Embedding
  for Activity Recognition in Smart Homes
Fully Convolutional Network Bootstrapped by Word Encoding and Embedding for Activity Recognition in Smart Homes
Damien Bouchabou
S. Nguyen
Christopher Lohr
Benoit Leduc
Ioannis Kanellos
30
29
0
01 Dec 2020
Deep Learning-based Cattle Activity Classification Using Joint
  Time-frequency Data Representation
Deep Learning-based Cattle Activity Classification Using Joint Time-frequency Data Representation
Seyedeh Faézeh Hosseini Noorbin
S. Layeghy
Branislav Kusy
Raja Jurdak
G. Bishop-Hurley
Marius Portmann
24
40
0
06 Nov 2020
Previous
123
Next