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InceptionTime: Finding AlexNet for Time Series Classification

InceptionTime: Finding AlexNet for Time Series Classification

11 September 2019
Hassan Ismail Fawaz
Benjamin Lucas
Germain Forestier
Charlotte Pelletier
Daniel F. Schmidt
J. Weber
Geoffrey I. Webb
L. Idoumghar
Pierre-Alain Muller
Franccois Petitjean
    AI4TS
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Papers citing "InceptionTime: Finding AlexNet for Time Series Classification"

50 / 253 papers shown
Title
WEASEL 2.0 -- A Random Dilated Dictionary Transform for Fast, Accurate
  and Memory Constrained Time Series Classification
WEASEL 2.0 -- A Random Dilated Dictionary Transform for Fast, Accurate and Memory Constrained Time Series Classification
Patrick Schäfer
Ulf Leser
19
19
0
24 Jan 2023
Predicting Surface Texture in Steel Manufacturing at Speed
Predicting Surface Texture in Steel Manufacturing at Speed
A. Milne
Xianghua Xie
8
0
0
20 Jan 2023
Representation Learning for Tablet and Paper Domain Adaptation in Favor
  of Online Handwriting Recognition
Representation Learning for Tablet and Paper Domain Adaptation in Favor of Online Handwriting Recognition
Felix Ott
David Rügamer
Lucas Heublein
Bernd Bischl
Christopher Mutschler
OOD
14
1
0
16 Jan 2023
Unleashing the Power of Shared Label Structures for Human Activity
  Recognition
Unleashing the Power of Shared Label Structures for Human Activity Recognition
Xiyuan Zhang
Ranak Roy Chowdhury
Jiayun Zhang
Dezhi Hong
Rajesh K. Gupta
Jingbo Shang
VLM
18
6
0
01 Jan 2023
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
38
28
0
19 Dec 2022
POPNASv3: a Pareto-Optimal Neural Architecture Search Solution for Image
  and Time Series Classification
POPNASv3: a Pareto-Optimal Neural Architecture Search Solution for Image and Time Series Classification
Andrea Falanti
Eugenio Lomurno
Danilo Ardagna
Matteo Matteucci
AI4TS
43
11
0
13 Dec 2022
Matrix Profile XXVII: A Novel Distance Measure for Comparing Long Time
  Series
Matrix Profile XXVII: A Novel Distance Measure for Comparing Long Time Series
Audrey Der
Chin-Chia Michael Yeh
R. Wu
Junpeng Wang
Yan Zheng
Zhongfang Zhuang
Liang Wang
Wei Zhang
Eamonn Keogh
AI4TS
14
3
0
09 Dec 2022
Deep Learning Architectures for FSCV, a Comparison
Deep Learning Architectures for FSCV, a Comparison
Thomas Twomey
Leonardo S. Barbosa
T. Lohrenz
P. R. Montague
21
1
0
05 Dec 2022
Modeling Multivariate Biosignals With Graph Neural Networks and
  Structured State Space Models
Modeling Multivariate Biosignals With Graph Neural Networks and Structured State Space Models
Siyi Tang
Jared A. Dunnmon
Liangqiong Qu
Khaled Kamal Saab
T. Baykaner
Christopher Lee-Messer
D. Rubin
27
21
0
21 Nov 2022
Does Deep Learning REALLY Outperform Non-deep Machine Learning for
  Clinical Prediction on Physiological Time Series?
Does Deep Learning REALLY Outperform Non-deep Machine Learning for Clinical Prediction on Physiological Time Series?
Ke Liao
Wei Wang
A. Elibol
L. Meng
Xu Zhao
N. Chong
OOD
33
1
0
11 Nov 2022
Privacy Meets Explainability: A Comprehensive Impact Benchmark
Privacy Meets Explainability: A Comprehensive Impact Benchmark
S. Saifullah
Dominique Mercier
Adriano Lucieri
Andreas Dengel
Sheraz Ahmed
32
14
0
08 Nov 2022
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
Quantifying Quality of Class-Conditional Generative Models in
  Time-Series Domain
Quantifying Quality of Class-Conditional Generative Models in Time-Series Domain
Alireza Koochali
Maria Walch
Sankrutyayan Thota
P. Schichtel
Andreas Dengel
Sheraz Ahmed
EGVM
14
3
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
Improving Accuracy and Explainability of Online Handwriting Recognition
Improving Accuracy and Explainability of Online Handwriting Recognition
Hilda Azimi
Steve Chang
Jonathan Gold
Koray Karabina
19
4
0
14 Sep 2022
Explainable AI for tailored electricity consumption feedback -- an
  experimental evaluation of visualizations
Explainable AI for tailored electricity consumption feedback -- an experimental evaluation of visualizations
Jacqueline Wastensteiner
T. Weiß
Felix Haag
K. Hopf
25
11
0
24 Aug 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
36
4
0
15 Aug 2022
HyperTime: Implicit Neural Representation for Time Series
HyperTime: Implicit Neural Representation for Time Series
Elizabeth Fons
Alejandro Sztrajman
Yousef El-Laham
Alexandros Iosifidis
Svitlana Vyetrenko
AI4TS
29
21
0
11 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
24
12
0
10 Aug 2022
Information We Can Extract About a User From Óne Minute Mobile
  Application Usage'
Information We Can Extract About a User From Óne Minute Mobile Application Usage'
Sarwan Ali
23
2
0
27 Jul 2022
LightX3ECG: A Lightweight and eXplainable Deep Learning System for
  3-lead Electrocardiogram Classification
LightX3ECG: A Lightweight and eXplainable Deep Learning System for 3-lead Electrocardiogram Classification
Khiem H. Le
Hieu H. Pham
Thao BT. Nguyen
Tu Nguyen
T. Thanh
Cuong D. Do
18
34
0
25 Jul 2022
dCAM: Dimension-wise Class Activation Map for Explaining Multivariate
  Data Series Classification
dCAM: Dimension-wise Class Activation Map for Explaining Multivariate Data Series Classification
Paul Boniol
M. Meftah
E. Remy
Themis Palpanas
AI4TS
19
24
0
25 Jul 2022
Transfer learning for time series classification using synthetic data
  generation
Transfer learning for time series classification using synthetic data generation
Yarden Rotem
Nathaniel Shimoni
Lior Rokach
Bracha Shapira
SyDa
16
8
0
16 Jul 2022
Rethinking Attention Mechanism in Time Series Classification
Rethinking Attention Mechanism in Time Series Classification
Bowen Zhao
Huanlai Xing
Xinhan Wang
Fuhong Song
Zhiwen Xiao
AI4TS
33
30
0
14 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
16
2
0
08 Jul 2022
Semi-unsupervised Learning for Time Series Classification
Semi-unsupervised Learning for Time Series Classification
Padraig Davidson
M. Steininger
A. Huhn
Anna Krause
Andreas Hotho
23
1
0
07 Jul 2022
A Deep Learning Approach for the Segmentation of Electroencephalography
  Data in Eye Tracking Applications
A Deep Learning Approach for the Segmentation of Electroencephalography Data in Eye Tracking Applications
L. Wolf
Ard Kastrati
M. Płomecka
J. Li
Dustin Klebe
Alexander Veicht
Roger Wattenhofer
N. Langer
19
10
0
17 Jun 2022
Predicting Hate Intensity of Twitter Conversation Threads
Predicting Hate Intensity of Twitter Conversation Threads
Qing Meng
Tharun Suresh
Roy Ka-Wei Lee
Tanmoy Chakraborty
21
19
0
16 Jun 2022
A review of machine learning approaches, challenges and prospects for
  computational tumor pathology
A review of machine learning approaches, challenges and prospects for computational tumor pathology
Liangrui Pan
Zhichao Feng
Shaoliang Peng
AI4CE
19
7
0
31 May 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
22
38
0
30 May 2022
COSTI: a New Classifier for Sequences of Temporal Intervals
COSTI: a New Classifier for Sequences of Temporal Intervals
J. Bilski
A. Jastrzębska
AI4TS
23
0
0
28 Apr 2022
Fuzzy Cognitive Maps and Hidden Markov Models: Comparative Analysis of
  Efficiency within the Confines of the Time Series Classification Task
Fuzzy Cognitive Maps and Hidden Markov Models: Comparative Analysis of Efficiency within the Confines of the Time Series Classification Task
J. Bilski
A. Jastrzębska
AI4TS
13
1
0
28 Apr 2022
Satellite Image Time Series Analysis for Big Earth Observation Data
Satellite Image Time Series Analysis for Big Earth Observation Data
R. Simões
G. Câmara
G. R. Queiroz
F. Souza
Pedro Ribeiro de Andrade Neto
L. Santos
Alexandre Carvalho
K. Ferreira
29
68
0
24 Apr 2022
Efficient Architecture Search for Diverse Tasks
Efficient Architecture Search for Diverse Tasks
Jun Shen
M. Khodak
Ameet Talwalkar
22
31
0
15 Apr 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
Z. Abdallah
24
4
0
13 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
Taking ROCKET on an Efficiency Mission: Multivariate Time Series
  Classification with LightWaveS
Taking ROCKET on an Efficiency Mission: Multivariate Time Series Classification with LightWaveS
Leonardos Pantiskas
K. Verstoep
Mark Hoogendoorn
Henri E. Bal
29
6
0
04 Apr 2022
Tampered VAE for Improved Satellite Image Time Series Classification
Tampered VAE for Improved Satellite Image Time Series Classification
Xin Cai
Y. Bi
Peter Nicholl
AI4TS
14
1
0
30 Mar 2022
Enhancing Transformer Efficiency for Multivariate Time Series
  Classification
Enhancing Transformer Efficiency for Multivariate Time Series Classification
Yuqing Wang
Yun Zhao
Linda R. Petzold
AI4TS
16
2
0
28 Mar 2022
HYDRA: Competing convolutional kernels for fast and accurate time series
  classification
HYDRA: Competing convolutional kernels for fast and accurate time series classification
Angus Dempster
Daniel F. Schmidt
Geoffrey I. Webb
28
55
0
25 Mar 2022
Identifying the root cause of cable network problems with machine
  learning
Identifying the root cause of cable network problems with machine learning
G. Heiler
Thassilo Gadermaier
Thomas Haider
Allan Hanbury
Peter Filzmoser
8
3
0
09 Mar 2022
S-Rocket: Selective Random Convolution Kernels for Time Series
  Classification
S-Rocket: Selective Random Convolution Kernels for Time Series Classification
Hojjat Salehinejad
Yang Wang
Yuanhao Yu
Jingshan Tang
S. Valaee
AI4TS
31
15
0
07 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
HDC-MiniROCKET: Explicit Time Encoding in Time Series Classification
  with Hyperdimensional Computing
HDC-MiniROCKET: Explicit Time Encoding in Time Series Classification with Hyperdimensional Computing
Kenny Schlegel
Peer Neubert
P. Protzel
AI4TS
13
23
0
16 Feb 2022
TimeREISE: Time-series Randomized Evolving Input Sample Explanation
TimeREISE: Time-series Randomized Evolving Input Sample Explanation
Dominique Mercier
Andreas Dengel
Sheraz Ahmed
AI4TS
11
7
0
16 Feb 2022
Auxiliary Cross-Modal Representation Learning with Triplet Loss
  Functions for Online Handwriting Recognition
Auxiliary Cross-Modal Representation Learning with Triplet Loss Functions for Online Handwriting Recognition
Felix Ott
David Rügamer
Lucas Heublein
Bernd Bischl
Christopher Mutschler
53
9
0
16 Feb 2022
Benchmarking Online Sequence-to-Sequence and Character-based Handwriting
  Recognition from IMU-Enhanced Pens
Benchmarking Online Sequence-to-Sequence and Character-based Handwriting Recognition from IMU-Enhanced Pens
Felix Ott
David Rügamer
Lucas Heublein
Tim Hamann
Jens Barth
Bernd Bischl
Christopher Mutschler
22
17
0
14 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
17
10
0
10 Feb 2022
Experimental Investigation of Variational Mode Decomposition and Deep
  Learning for Short-Term Multi-horizon Residential Electric Load Forecasting
Experimental Investigation of Variational Mode Decomposition and Deep Learning for Short-Term Multi-horizon Residential Electric Load Forecasting
M. Ahajjam
Daniel Bonilla Licea
Mounir Ghogho
A. Kobbane
29
28
0
01 Feb 2022
The FreshPRINCE: A Simple Transformation Based Pipeline Time Series
  Classifier
The FreshPRINCE: A Simple Transformation Based Pipeline Time Series Classifier
Matthew Middlehurst
A. Bagnall
AI4TS
21
18
0
28 Jan 2022
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