Time-frequency deep metric learning for multivariate time series classification

A novel shapelet transformation method for classification of multivariate time series with dynamic discriminative subsequence and application in anode current signals

(2020) Xiao-xue Wan et al.   Journal of Central South University

Arm Motion Classification Using Time-Series Analysis of the Spectrogram Frequency Envelopes

(2020) Zhengxin Zeng et al.   Remote Sensing

Multiple Convolutional Neural Networks for Multivariate Time Series Prediction

(2019) Kang Wang et al.   NEUROCOMPUTING

Multivariate time series clustering based on common principal component analysis

(2019) Hailin Li   NEUROCOMPUTING

Multivariate LSTM-FCNs for time series classification

(2019) Fazle Karim et al.   NEURAL NETWORKS

Attention-based spatio-temporal dependence learning network

(2019) Qianli Ma et al.   INFORMATION SCIENCES

Convolutional Multitimescale Echo State Network

(2019) Qianli Ma et al.   IEEE Transactions on Cybernetics

A Deep Learning Architecture for Temporal Sleep Stage Classification Using Multivariate and Multimodal Time Series

(2018) Stanislas Chambon et al.   IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING

Multiobjective Learning in the Model Space for Time Series Classification

(2018) Zhichen Gong et al.   IEEE Transactions on Cybernetics

Scale-varying dynamic time warping based on hesitant fuzzy sets for multivariate time series classification

(2018) Shuai Liu et al.   MEASUREMENT

Person Reidentification via Structural Deep Metric Learning

(2018) Xun Yang et al.   IEEE Transactions on Neural Networks and Learning Systems

Unsupervised Person Re-Identification by Deep Asymmetric Metric Embedding

(2018) Hong-Xing Yu et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

Deep Localized Metric Learning

(2017) Yueqi Duan et al.   IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY

Dimensionality Reduction and Classification of Hyperspectral Images Using Ensemble Discriminative Local Metric Learning

(2017) Yanni Dong et al.   IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING

Discriminative Deep Metric Learning for Face and Kinship Verification

(2017) Jiwen Lu et al.   IEEE TRANSACTIONS ON IMAGE PROCESSING

Sharable and Individual Multi-view Metric Learning

(2017) Junlin Hu et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

Univariate and multivariate time series classification with parametric integral dynamic time warping

(2017) Maciej Łuczak   JOURNAL OF INTELLIGENT & FUZZY SYSTEMS

Univariate and Multivariate Time Series Manifold Learning

(2017) Colin O’Reilly et al.   KNOWLEDGE-BASED SYSTEMS

An effective multivariate time series classification approach using echo state network and adaptive differential evolution algorithm

(2016) Lin Wang et al.   EXPERT SYSTEMS WITH APPLICATIONS

Deep Transfer Metric Learning

(2016) Junlin Hu et al.   IEEE TRANSACTIONS ON IMAGE PROCESSING

A Novel Similarity Measure Model for Multivariate Time Series Based on LMNN and DTW

(2016) Jingyi Shen et al.   NEURAL PROCESSING LETTERS

Learning a Mahalanobis Distance-Based Dynamic Time Warping Measure for Multivariate Time Series Classification

(2016) Jiangyuan Mei et al.   IEEE Transactions on Cybernetics

Time series representation and similarity based on local autopatterns

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

Multivariate time series classification with parametric derivative dynamic time warping

(2015) Tomasz Górecki et al.   EXPERT SYSTEMS WITH APPLICATIONS

Fast classification of univariate and multivariate time series through shapelet discovery

(2015) Josif Grabocka et al.   KNOWLEDGE AND INFORMATION SYSTEMS

A Kernel Classification Framework for Metric Learning

(2015) Faqiang Wang et al.   IEEE Transactions on Neural Networks and Learning Systems

Learning a symbolic representation for multivariate time series classification

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

Classification of time series by shapelet transformation

(2013) Jon Hills et al.   DATA MINING AND KNOWLEDGE DISCOVERY

Stacking for multivariate time series classification

(2013) Oscar J. Prieto et al.   PATTERN ANALYSIS AND APPLICATIONS

Automated sleep stage identification system based on time–frequency analysis of a single EEG channel and random forest classifier

(2011) Luay Fraiwan et al.   COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE

Combining discrete SVM and fixed cardinality warping distances for multivariate time series classification

(2010) C. Orsenigo et al.   PATTERN RECOGNITION

Matching incomplete time series with dynamic time warping: an algorithm and an application to post-stroke rehabilitation

(2008) Paolo Tormene et al.   ARTIFICIAL INTELLIGENCE IN MEDICINE

Classification of multivariate time series using two-dimensional singular value decomposition

(2008) Xiaoqing Weng et al.   KNOWLEDGE-BASED SYSTEMS