Meta-Feature Fusion for Few-Shot Time Series Classification

Author:

Park Seo-Hyeong1,Syazwany Nur Suriza1ORCID,Lee Sang-Chul1ORCID

Affiliation:

1. Department of Computer Science and Engineering, Inha University, Incheon, South Korea

Funder

National Research Foundation of Korea

Institute of Information and Communications Technology Planning and Evaluation

Korea Government [Ministry of Science and ICT (MSIT)]

Artificial Intelligence Convergence Innovation Human Resources Development, Inha University

Inha University Research Grant

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Reference65 articles.

1. Statistical comparisons of classifiers over multiple data sets;demšar;J Mach Learn Res,2006

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

3. MultiRocket: multiple pooling operators and transformations for fast and effective time series classification

4. Proximity Forest: an effective and scalable distance-based classifier for time series

5. An extension on ‘statistical comparisons of classifiers over multiple data sets’ for all pairwise comparisons;garcia;J Mach Learn Res,2008

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