11 datasets found

The UEA/UCR Time-Series Classification Repository contains 128 problems spanning a variety of domains.

Time series classification problems exist in many fields and have been explored for a couple of decades. However, they still remain challenging, and their solutions need to be...

The UEA archive is a collection of multivariate time series datasets where classification is of importance.

The UCR archive is a collection of univariate time series datasets where classification is of importance.

The dataset is used for classification tasks. It contains 23 ECG signals. Each signal is a 100-dimensional vector.

The dataset is used for classification tasks. It contains 60 meat samples. Each sample is a 178-dimensional vector.

The dataset is used for classification tasks. It contains 139 earthquake prediction samples. Each sample is a 13-dimensional vector.

UCR Time Series Archive is a collection of time series datasets from various domains. It is used for training and testing deep neural networks for time series classification tasks.

The UCR Time Series Classification Archive contains 168 datasets for time series classification.

AlexNet for time series classification

Infrasound data classification using neural networks