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Found 6 papers, 3 papers with code
Composable Core-sets for Diversity Approximation on Multi-Dataset Streams
Composable core-sets are core-sets with the property that subsets of the core set can be unioned together to obtain an approximation for the original data; lending themselves to be used for streamed or distributed data.
HIVE-COTE 2.0: a new meta ensemble for time series classification
Since it was first proposed in 2016, the algorithm has remained state of the art for accuracy on the UCR time series classification archive.
Benchmarking Multivariate Time Series Classification Algorithms
The simplest approach to MTSC is to ensemble univariate classifiers over the multivariate dimensions.
A tale of two toolkits, report the third: on the usage and performance of HIVE-COTE v1.0
The Hierarchical Vote Collective of Transformation-based Ensembles (HIVE-COTE) is a heterogeneous meta ensemble for time series classification.
WHAM!: Extending Speech Separation to Noisy Environments
Recent progress in separating the speech signals from multiple overlapping speakers using a single audio channel has brought us closer to solving the cocktail party problem.
Ranked #15 on
Speech Separation
on WHAMR!
The UEA multivariate time series classification archive, 2018
In 2002, the UCR time series classification archive was first released with sixteen datasets.
