Efficient class-specific shapelets learning for interpretable time series classification

Deep learning for time series classification: a review

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

Evaluation of statistical and machine learning models for time series prediction: Identifying the state-of-the-art and the best conditions for the use of each model

(2019) Antonio Rafael Sabino Parmezan et al.   INFORMATION SCIENCES

A New Approach to Multiple Time Series Prediction Using MIMO Fuzzy Aggregation Models with Modular Neural Networks

(2019) Jesus Soto et al.   International Journal of Fuzzy Systems

A New Approach for Time Series Prediction Using Ensembles of IT2FNN Models with Optimization of Fuzzy Integrators

(2018) Jesus Soto et al.   International Journal of Fuzzy Systems

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

Fuzzy time series forecasting based on fuzzy logical relationships and similarity measures

(2016) Shou-Hsiung Cheng et al.   INFORMATION SCIENCES

Scalable time series classification

(2015) Patrick Schäfer   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

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

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

Forecasting interval time series using a fully complex-valued RBF neural network with DPSO and PSO algorithms

(2015) Tao Xiong et al.   INFORMATION SCIENCES

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

(2014) Patrick Schäfer   DATA MINING AND KNOWLEDGE DISCOVERY

Particle swarm optimization of ensemble neural networks with fuzzy aggregation for time series prediction of the Mexican Stock Exchange

(2014) Martha Pulido et al.   INFORMATION SCIENCES

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

Interval type-2 fuzzy weight adjustment for backpropagation neural networks with application in time series prediction

(2013) Fernando Gaxiola et al.   INFORMATION SCIENCES

Experimental comparison of representation methods and distance measures for time series data

(2012) Xiaoyue Wang et al.   DATA MINING AND KNOWLEDGE DISCOVERY

Rotation-invariant similarity in time series using bag-of-patterns representation

(2012) Jessica Lin et al.   JOURNAL OF INTELLIGENT INFORMATION SYSTEMS

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

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