160 datasets found

The dataset is used for medical image analysis and classification.

The dataset used in the PhysioNet/CinC 2020 Challenge contains 43,101 ECG records.

The PhysioNet/CinC 2020 Challenge dataset contains 12-lead electrocardiogram (ECG) records for classification of 27 heart conditions.

The MNIST data set is a dataset used for testing the performance of the DisDF.

The Ionosphere data set is a dataset used for testing the performance of the DisDF.

The Ecoli data set is a dataset used for testing the performance of the DisDF.

The Parkinsons data set is a dataset used for testing the performance of the DisDF.

A Discriminative Deep Forest (DisDF) as a metric learning algorithm is proposed in the paper.

A multimodal WBC dataset for WBC classification, consisting of four modalities and five classes.

The Indian Pines 2010 dataset is a 2m resolution image taken over the Indian Pines test site in May 2010.

A dataset of job titles and their corresponding classes.

The fMRI dataset used for the schizophrenia classification task.

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

The Patch Camelyon dataset is a dataset of 1,000 images of 2 classes.

The dataset used in the paper is a collection of trained networks and their corresponding datasets.

Hyperspectral remote sensing images have high dimensionality and a large number of channels with substantial redundancy between channels. The training data for classifying HSRS...

The Indian Pines dataset contains 16 land cover types, which leaves 200 bands to be used for experiments after removing noise and water absorption bands.

A public dataset for ECG classification

The Georgia dataset is a sample dataset from the Python library mgwr, containing socio-economic attributes of 159 counties in Georgia, USA.

A public training dataset for ECG classification