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Multivariate Time Series Classification with WEASEL+MUSE
v1v2v3v4 (latest)

Multivariate Time Series Classification with WEASEL+MUSE

30 November 2017
Patrick Schäfer
Ulf Leser
    AI4TS
ArXiv (abs)PDFHTML

Papers citing "Multivariate Time Series Classification with WEASEL+MUSE"

8 / 58 papers shown
Title
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
77
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
72
44
0
07 May 2020
Adversarial Attacks on Multivariate Time Series
Adversarial Attacks on Multivariate Time Series
Samuel Harford
Fazle Karim
H. Darabi
AI4TSAAML
55
22
0
31 Mar 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
Dinesh Manocha
Michael Blumenstein
Jing Jiang
AI4TS
118
104
0
24 Feb 2020
Dataset: Rare Event Classification in Multivariate Time Series
Dataset: Rare Event Classification in Multivariate Time Series
Chitta Ranjan
Mahendranath Reddy
Markku Mustonen
K. Paynabar
Karim Pourak
49
32
0
27 Sep 2018
Interpretable Time Series Classification using All-Subsequence Learning
  and Symbolic Representations in Time and Frequency Domains
Interpretable Time Series Classification using All-Subsequence Learning and Symbolic Representations in Time and Frequency Domains
Thach le Nguyen
S. Gsponer
Iulia Ilie
Georgiana Ifrim
AI4TS
47
12
0
12 Aug 2018
Detecting and interpreting myocardial infarction using fully
  convolutional neural networks
Detecting and interpreting myocardial infarction using fully convolutional neural networks
Nils Strodthoff
C. Strodthoff
100
154
0
18 Jun 2018
Multivariate LSTM-FCNs for Time Series Classification
Multivariate LSTM-FCNs for Time Series Classification
Fazle Karim
Somshubra Majumdar
H. Darabi
Samuel Harford
AI4TS
94
839
0
14 Jan 2018
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