Related references
Note: Only part of the references are listed.CLformer: Locally grouped auto-correlation and convolutional transformer for long-term multivariate time series forecasting
Xingyu Wang et al.
ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE (2023)
Dynamic Neural Networks: A Survey
Yizeng Han et al.
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE (2022)
TS-CHIEF: a scalable and accurate forest algorithm for time series classification
Ahmed Shifaz et al.
DATA MINING AND KNOWLEDGE DISCOVERY (2020)
ROCKET: exceptionally fast and accurate time series classification using random convolutional kernels
Angus Dempster et al.
DATA MINING AND KNOWLEDGE DISCOVERY (2020)
InceptionTime: Finding AlexNet for time series classification
Hassan Ismail Fawaz et al.
DATA MINING AND KNOWLEDGE DISCOVERY (2020)
Time Series Classification With Multivariate Convolutional Neural Network
Chien-Liang Liu et al.
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS (2019)
Deep learning for time series classification: a review
Hassan Ismail Fawaz et al.
DATA MINING AND KNOWLEDGE DISCOVERY (2019)
Multivariate LSTM-FCNs for time series classification
Fazle Karim et al.
NEURAL NETWORKS (2019)
Time Series Classification with HIVE-COTE: The Hierarchical Vote Collective of Transformation-Based Ensembles
Jason Lines et al.
ACM TRANSACTIONS ON KNOWLEDGE DISCOVERY FROM DATA (2018)
Distance-based time series classification approach for task recognition with application in surgical robot autonomy
Mahtab J. Fard et al.
INTERNATIONAL JOURNAL OF MEDICAL ROBOTICS AND COMPUTER ASSISTED SURGERY (2017)