Variable-length multivariate time series classification using ROCKET: a case study of incident detection

A Bier, A Jastrzębska, P Olszewski - IEEE Access, 2022 - ieeexplore.ieee.org
Multivariate time series classification is a machine learning problem that can be applied to
automate a wide range of real-world data analysis tasks. RandOm Convolutional KErnel …
被引用次数：11 相关文章

[引用][C] Variable-Length Multivariate Time Series Classification Using ROCKET: A Case Study of Incident Detection

A Bier, A Jastrzebska, P Olszewski - IEEE Access, 2022 - ui.adsabs.harvard.edu
Variable-Length Multivariate Time Series Classification Using ROCKET: A Case Study of
Incident Detection - NASA/ADS Now on home page ads icon ads Enable full ADS view …
[PDF] pw.edu.pl

[PDF][PDF] Variable-Length Multivariate Time Series Classification Using ROCKET: A Case Study of Incident Detection

A BIER, A JASTRZĘBSKA, P OLSZEWSKI - repo.pw.edu.pl
Multivariate time series classification is a machine learning problem that can be applied to
automate a wide range of real-world data analysis tasks. RandOm Convolutional KErnel …

Variable-Length Multivariate Time Series Classification Using ROCKET: A Case Study of Incident Detection

A Bier, A Jastrzębska, P Olszewski - IEEE Access, 2022 - repo.pw.edu.pl
Multivariate time series classification is a machine learning problem that can be applied to
automate a wide range of real-world data analysis tasks. RandOm Convolutional KErnel …