Adaptive feature fusion for time series classification

Reinforcement Learning Assisted Impersonation Attack Detection in Device-to-Device Communications

(2021) Shanshan Tu et al.   IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY

TS-CHIEF: a scalable and accurate forest algorithm for time series classification

(2020) Ahmed Shifaz et al.   DATA MINING AND KNOWLEDGE DISCOVERY

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

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

Time-Series Classification Based on Fusion Features of Sequence and Visualization

(2020) Baoquan Wang et al.   Applied Sciences-Basel

InceptionTime: Finding AlexNet for time series classification

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

Echo Memory-Augmented Network for time series classification

(2020) Qianli Ma et al.   NEURAL NETWORKS

Deep Learning With Spatiotemporal Attention-Based LSTM for Industrial Soft Sensor Model Development

(2020) Xiaofeng Yuan et al.   IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS

Deep learning for time series classification: a review

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

Time series trend detection and forecasting using complex network topology analysis

(2019) Leandro Anghinoni et al.   NEURAL NETWORKS

Real-time human activity recognition from accelerometer data using Convolutional Neural Networks

(2018) Andrey Ignatov   APPLIED SOFT COMPUTING

Collaborative Index Embedding for Image Retrieval

(2018) Wengang Zhou et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

Time Series Classification with HIVE-COTE

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

A review on distance based time series classification

(2018) Amaia Abanda et al.   DATA MINING AND KNOWLEDGE DISCOVERY

Deep Residual Bidir-LSTM for Human Activity Recognition Using Wearable Sensors

(2018) Yu Zhao et al.   MATHEMATICAL PROBLEMS IN ENGINEERING

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

Human activity recognition with smartphone sensors using deep learning neural networks

(2016) Charissa Ann Ronao et al.   EXPERT SYSTEMS WITH APPLICATIONS

Time series representation and similarity based on local autopatterns

(2015) Mustafa Gokce Baydogan 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

Exploiting multi-channels deep convolutional neural networks for multivariate time series classification

(2015) Yi Zheng et al.   Frontiers of Computer Science

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

A review of unsupervised feature learning and deep learning for time-series modeling

(2014) Martin Längkvist et al.   PATTERN RECOGNITION LETTERS

Classification of time series by shapelet transformation

(2013) Jon Hills 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

The Move-Split-Merge Metric for Time Series

(2012) Alexandra Stefan et al.   IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING