Echo Memory-Augmented Network for time series classification

Time series classification with Echo Memory Networks

(2019) Qianli Ma et al.   NEURAL NETWORKS

Skeleton Optical Spectra-Based Action Recognition Using Convolutional Neural Networks

(2018) Yonghong Hou et al.   IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY

Laplacian Echo State Network for Multivariate Time Series Prediction

(2018) Min Han et al.   IEEE Transactions on Neural Networks and Learning Systems

Multiview-Based 3-D Action Recognition Using Deep Networks

(2018) Chuankun Li et al.   IEEE Transactions on Human-Machine Systems

Joint Distance Maps Based Action Recognition With Convolutional Neural Networks

(2017) Chuankun Li et al.   IEEE SIGNAL PROCESSING LETTERS

Uniform stability of Fractional Order Leaky Integrator Echo State Neural Network with multiple time delays

(2017) Seyed Mehdi Abedi Pahnehkolaei et al.   INFORMATION SCIENCES

Univariate and Multivariate Time Series Manifold Learning

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

Training Echo State Networks with Regularization Through Dimensionality Reduction

(2017) Sigurd Løkse et al.   Cognitive Computation

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

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

A new echo state network with variable memory length

(2016) Shu-xian Lun et al.   INFORMATION SCIENCES

Functional echo state network for time series classification

(2016) Qianli Ma et al.   INFORMATION SCIENCES

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

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

Adaptive Elastic Echo State Network for Multivariate Time Series Prediction

(2016) Meiling Xu 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

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

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

A novel model of leaky integrator echo state network for time-series prediction

(2015) Shu-Xian Lun et al.   NEUROCOMPUTING

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

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

(2014) Patrick Schäfer   DATA MINING AND KNOWLEDGE DISCOVERY

Non-isometric transforms in time series classification using DTW

(2014) Tomasz Górecki et al.   KNOWLEDGE-BASED SYSTEMS

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

Using derivatives in time series classification

(2012) Tomasz Górecki et al.   DATA MINING AND KNOWLEDGE DISCOVERY

An extended echo state network using Volterra filtering and principal component analysis

(2012) Levy Boccato et al.   NEURAL NETWORKS

Chaotic Time Series Prediction Based on a Novel Robust Echo State Network

(2012) Decai Li et al.   IEEE Transactions on Neural Networks and Learning Systems

Echo State Gaussian Process

(2011) S. P. Chatzis et al.   IEEE TRANSACTIONS ON NEURAL NETWORKS

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

(2010) C. Orsenigo et al.   PATTERN RECOGNITION

Pruning and regularization in reservoir computing

(2009) X. Dutoit et al.   NEUROCOMPUTING