- Home
- Publications
- Publication Search
- Publication Details
Title
HIVE-COTE 2.0: a new meta ensemble for time series classification
Authors
Keywords
-
Journal
MACHINE LEARNING
Volume 110, Issue 11-12, Pages 3211-3243
Publisher
Springer Science and Business Media LLC
Online
2021-09-25
DOI
10.1007/s10994-021-06057-9
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- TS-CHIEF: a scalable and accurate forest algorithm for time series classification
- (2020) Ahmed Shifaz et al. DATA MINING AND KNOWLEDGE DISCOVERY
- ROCKET: exceptionally fast and accurate time series classification using random convolutional kernels
- (2020) Angus Dempster et al. DATA MINING AND KNOWLEDGE DISCOVERY
- InceptionTime: Finding AlexNet for time series classification
- (2020) Hassan Ismail Fawaz et al. DATA MINING AND KNOWLEDGE DISCOVERY
- The great multivariate time series classification bake off: a review and experimental evaluation of recent algorithmic advances
- (2020) Alejandro Pasos Ruiz et al. DATA MINING AND KNOWLEDGE DISCOVERY
- Applications of shapelet transform to time series classification of earthquake, wind and wave data
- (2020) Monica Arul et al. ENGINEERING STRUCTURES
- Deep learning for time series classification: a review
- (2019) Hassan Ismail Fawaz et al. DATA MINING AND KNOWLEDGE DISCOVERY
- Proximity Forest: an effective and scalable distance-based classifier for time series
- (2019) Benjamin Lucas et al. DATA MINING AND KNOWLEDGE DISCOVERY
- Interpretable time series classification using linear models and multi-resolution multi-domain symbolic representations
- (2019) Thach Le Nguyen et al. DATA MINING AND KNOWLEDGE DISCOVERY
- A probabilistic classifier ensemble weighting scheme based on cross-validated accuracy estimates
- (2019) James Large et al. DATA MINING AND KNOWLEDGE DISCOVERY
- catch22: CAnonical Time-series CHaracteristics
- (2019) Carl H. Lubba et al. DATA MINING AND KNOWLEDGE DISCOVERY
- On time series classification with dictionary-based classifiers
- (2019) James Large et al. Intelligent Data Analysis
- Time Series Classification with HIVE-COTE
- (2018) Jason Lines et al. ACM Transactions on Knowledge Discovery from Data
- hctsa : A Computational Framework for Automated Time-Series Phenotyping Using Massive Feature Extraction
- (2017) Ben D. Fulcher et al. Cell Systems
- Generalizing DTW to the multi-dimensional case requires an adaptive approach
- (2016) Mohammad Shokoohi-Yekta et al. DATA MINING AND KNOWLEDGE DISCOVERY
- 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
- 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
- Classification of time series by shapelet transformation
- (2013) Jon Hills et al. DATA MINING AND KNOWLEDGE DISCOVERY
- CID: an efficient complexity-invariant distance for time series
- (2013) Gustavo E. A. P. A. Batista et al. DATA MINING AND KNOWLEDGE DISCOVERY
- Classifying insects on the fly
- (2013) Ilyas Potamitis Ecological Informatics
- A time series forest for classification and feature extraction
- (2013) Houtao Deng et al. INFORMATION SCIENCES
Find Funding. Review Successful Grants.
Explore over 25,000 new funding opportunities and over 6,000,000 successful grants.
ExploreFind the ideal target journal for your manuscript
Explore over 38,000 international journals covering a vast array of academic fields.
Search