Jidong Yuan

Xiaokang Wang

Neural Process. Lett., April, 2023

MICOS: Mixed supervised contrastive learning for multivariate time series classification.

[BibT_eX]

[DOI]

Shilei Hao

Afanasiev D. Alexander

Wei Zhang

Knowl. Based Syst., 2023

Time-frequency based multi-task learning for semi-supervised time series classification.

[BibT_eX]

[DOI]

Inf. Sci., 2023

Local morphological patterns for time series classification.

[BibT_eX]

[DOI]

Shilei Hao

Intell. Data Anal., 2023

2022

Random pairwise shapelets forest: an effective classifier for time series.

[BibT_eX]

[DOI]

Knowl. Inf. Syst., 2022

TSadv: Black-box adversarial attack on time series with local perturbations.

[BibT_eX]

[DOI]

Eng. Appl. Artif. Intell., 2022

2021

Convex clustering method for compositional data modeling.

[BibT_eX]

[DOI]

Soft Comput., 2021

Convex clustering method for compositional data via sparse group lasso.

[BibT_eX]

[DOI]

Neurocomputing, 2021

A Proximity Forest for Multivariate Time Series Classification.

[BibT_eX]

[DOI]

Yue Zhang

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2021

2020

Shapelet Discovery by Lazy Time Series Classification.

[BibT_eX]

[DOI]

Comput. Intell. Neurosci., 2020

Discriminative Dictionary Learning for Time Series Classification.

[BibT_eX]

[DOI]

IEEE Access, 2020

2019

A large margin time series nearest neighbour classification under locally weighted time warps.

[BibT_eX]

[DOI]

Ahlame Douzal Chouakria

Saeed Varasteh Yazdi

Knowl. Inf. Syst., 2019

Tracking recurring concepts from evolving data streams using ensemble method.

[BibT_eX]

[DOI]

Int. Arab J. Inf. Technol., 2019

The Nearest Neighbor Classifiers for Time Series with Complex Shape Features.

[BibT_eX]

[DOI]

Proceedings of the Fourth IEEE International Conference on Data Science in Cyberspace, 2019

Locally Slope-based Dynamic Time Warping for Time Series Classification.

[BibT_eX]

[DOI]

Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

2018

An effective pattern-based Bayesian classifier for evolving data stream.

[BibT_eX]

[DOI]

Neurocomputing, 2018

Random Pairwise Shapelets Forest.

[BibT_eX]

[DOI]

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2018

An Effective Lazy Shapelet Discovery Algorithm for Time Series Classification.

[BibT_eX]

[DOI]

Proceedings of the Neural Information Processing - 25th International Conference, 2018

2017

一种基于数据流模式表示的半懒惰式分类算法 (Partially-lazy Learning Classification Algorithm Based on Representation of Data Stream Model).

[BibT_eX]

[DOI]

Jingjing Jiang

计算机科学, 2017

A Pattern-Based Bayesian Classifier for Data Stream.

[BibT_eX]

[DOI]

Proceedings of the Neural Information Processing - 24th International Conference, 2017

2016

Online Ensemble Using Adaptive Windowing for Data Streams with Concept Drift.

[BibT_eX]

[DOI]

Int. J. Distributed Sens. Networks, 2016

2015

时间序列的表示与分类算法综述 (Review of Time Series Representation and Classification Techniques).

[BibT_eX]

[DOI]

计算机科学, 2015

A lazy associative classifier for time series.

[BibT_eX]

[DOI]

Intell. Data Anal., 2015

Mining closed and multi-supports-based sequential pattern in high-dimensional dataset.

[BibT_eX]

[DOI]

Int. Arab J. Inf. Technol., 2015

2014

Efficient Method for Mining Patterns from Highly Similar and Dense Database based on Prefix-Frequent-Items.

[BibT_eX]

[DOI]

J. Softw., 2014

A Discriminative Shapelets Transformation for Time Series Classification.

[BibT_eX]

[DOI]

Int. J. Pattern Recognit. Artif. Intell., 2014

2013

Closed Sequential Pattern Mining in High Dimensional Sequences.

[BibT_eX]

[DOI]