A new multi-process collaborative architecture for time series classification

ROCKET: exceptionally fast and accurate time series classification using random convolutional kernels

(2020) Angus Dempster et al.   DATA MINING AND KNOWLEDGE DISCOVERY

InceptionTime: Finding AlexNet for time series classification

(2020) Hassan Ismail Fawaz et al.   DATA MINING AND KNOWLEDGE DISCOVERY

Deep learning for time series classification: a review

(2019) Hassan Ismail Fawaz et al.   DATA MINING AND KNOWLEDGE DISCOVERY

A Novel IoT-Perceptive Human Activity Recognition (HAR) Approach Using Multihead Convolutional Attention

(2019) Haoxi Zhang et al.   IEEE Internet of Things Journal

A Novel Scheduling Strategy for Controllable Loads With Power-Efficiency Characteristics

(2019) Fanrong Wei et al.   IEEE Transactions on Smart Grid

Ultrafast Active Response Strategy against Malfunction Attack on Fault Current Limiter

(2019) Fanrong Wei et al.   IEEE Transactions on Smart Grid

Surgical motion analysis using discriminative interpretable patterns

(2018) Germain Forestier et al.   ARTIFICIAL INTELLIGENCE IN MEDICINE

Fast Spectrogram Inversion Using Multi-Head Convolutional Neural Networks

(2018) Sercan O. Arik et al.   IEEE SIGNAL PROCESSING LETTERS

The great time series classification bake off: a review and experimental evaluation of recent algorithmic advances

(2016) Anthony Bagnall et al.   DATA MINING AND KNOWLEDGE DISCOVERY

Time-Series Classification with COTE: The Collective of Transformation-Based Ensembles

(2015) Anthony Bagnall et al.   IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING

Deep learning

(2015) Yann LeCun et al.   NATURE

Time series classification with ensembles of elastic distance measures

(2014) Jason Lines et al.   DATA MINING AND KNOWLEDGE DISCOVERY

The BOSS is concerned with time series classification in the presence of noise

(2014) Patrick Schäfer   DATA MINING AND KNOWLEDGE DISCOVERY

Time-series data mining

(2012) Philippe Esling et al.   ACM COMPUTING SURVEYS