RTFN: A robust temporal feature network for time series classification

TSI: Time Series to Imaging based Model for Detecting Anomalous Energy Consumption in Smart Buildings

(2020) Muhammad Fahim et al.   INFORMATION SCIENCES

InceptionTime: Finding AlexNet for time series classification

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

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

(2020) Alejandro Pasos Ruiz et al.   DATA MINING AND KNOWLEDGE DISCOVERY

Mirco-earthquake source depth detection using machine learning techniques

(2020) De-He Yang et al.   INFORMATION SCIENCES

CLAVER: An integrated framework of Convolutional layer, bidirectional LSTM with Attention mechanism based scholarly VEnue Recommendation

(2020) Tribikram Pradhan et al.   INFORMATION SCIENCES

Deep learning for time series classification: a review

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

A probabilistic classifier ensemble weighting scheme based on cross-validated accuracy estimates

(2019) James Large et al.   DATA MINING AND KNOWLEDGE DISCOVERY

Multivariate LSTM-FCNs for time series classification

(2019) Fazle Karim et al.   NEURAL NETWORKS

Convolution–deconvolution word embedding: An end-to-end multi-prototype fusion embedding method for natural language processing

(2019) Kai Shuang et al.   Information Fusion

Multi-class Arrhythmia detection from 12-lead varied-length ECG using Attention-based Time-Incremental Convolutional Neural Network

(2019) Qihang Yao et al.   Information Fusion

Semantic relation extraction using sequential and tree-structured LSTM with attention

(2019) ZhiQiang Geng et al.   INFORMATION SCIENCES

Temporally Identity-Aware SSD With Attentional LSTM

(2019) Xingyu Chen et al.   IEEE Transactions on Cybernetics

Autoregressive forests for multivariate time series modeling

(2018) Kerem Sinan Tuncel et al.   PATTERN RECOGNITION

Time Series Classification with HIVE-COTE

(2018) Jason Lines et al.   ACM Transactions on Knowledge Discovery from Data

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

Time series representation and similarity based on local autopatterns

(2015) Mustafa Gokce Baydogan et al.   DATA MINING AND KNOWLEDGE DISCOVERY

Deep learning

(2015) Yann LeCun et al.   NATURE

Learning a symbolic representation for multivariate time series classification

(2014) Mustafa Gokce Baydogan et al.   DATA MINING AND KNOWLEDGE DISCOVERY

Time series classification with ensembles of elastic distance measures

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

A Bag-of-Features Framework to Classify Time Series

(2013) M. G. Baydogan et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

A time series forest for classification and feature extraction

(2013) Houtao Deng et al.   INFORMATION SCIENCES