Multi-feature based network for multivariate time series classification

PETSC: pattern-based embedding for time series classification

(2022) Len Feremans et al.   DATA MINING AND KNOWLEDGE DISCOVERY

Time series classification based on temporal features

(2022) Cun Ji et al.   APPLIED SOFT COMPUTING

DA-Net: Dual-attention network for multivariate time series classification

(2022) Rongjun Chen et al.   INFORMATION SCIENCES

Fully convolutional networks with shapelet features for time series classification

(2022) Cun Ji et al.   INFORMATION SCIENCES

Multivariate time-series classification with hierarchical variational graph pooling

(2022) Ziheng Duan et al.   NEURAL NETWORKS

Multi-scale Attention Convolutional Neural Network for time series classification

(2021) Wei Chen et al.   NEURAL NETWORKS

RTFN: A robust temporal feature network for time series classification

(2021) Zhiwen Xiao et al.   INFORMATION SCIENCES

Time-frequency deep metric learning for multivariate time series classification

(2021) Zhi Chen et al.   NEUROCOMPUTING

MTHetGNN: A heterogeneous graph embedding framework for multivariate time series forecasting

(2021) Yueyang Wang et al.   PATTERN RECOGNITION LETTERS

Multi-sensor information fusion based on machine learning for real applications in human activity recognition: State-of-the-art and research challenges

(2021) Sen Qiu et al.   Information Fusion

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

Multivariate LSTM-FCNs for time series classification

(2019) Fazle Karim et al.   NEURAL NETWORKS

Multivariate Time-Series Classification Using the Hidden-Unit Logistic Model

(2018) Wenjie Pei et al.   IEEE Transactions on Neural Networks and Learning Systems

Generalizing DTW to the multi-dimensional case requires an adaptive approach

(2016) Mohammad Shokoohi-Yekta et al.   DATA MINING AND KNOWLEDGE DISCOVERY

Generalized random shapelet forests

(2016) Isak Karlsson et al.   DATA MINING AND KNOWLEDGE DISCOVERY

Deep learning

(2015) Yann LeCun et al.   NATURE

Time series shapelets: a novel technique that allows accurate, interpretable and fast classification

(2010) Lexiang Ye et al.   DATA MINING AND KNOWLEDGE DISCOVERY

The Graph Neural Network Model

(2008) F. Scarselli et al.   IEEE TRANSACTIONS ON NEURAL NETWORKS