91 datasets found

A federated and continual learning framework for classification tasks in a society of devices

The Diabetes dataset contains 10 variables-dimensions for a sample size (number of points) of 442 and a target (label) variable which quantifies diabetes progress.

The dataset used in this paper is a wine dataset, consisting of 27 chemical measurements from a collection of wine samples from Piedmont region, Italy.

Classification of vegetable oils according to their botanical origin using sterol profiles established by direct infusion mass spectrometry.

Breast cancer dataset for automatic detection, segmentation, and classification of breast lesions in mammography images

The avila dataset is used to evaluate the performance of our model.

The anuran and avila datasets are used to evaluate the performance of our model.

The cardio, anuran, and avila datasets are used to evaluate the performance of our model.

The contraceptive, cardio, anuran, and avila datasets are used to evaluate the performance of our model.

The iris, contraceptive, cardio, anuran, and avila datasets are used to evaluate the performance of our model.

A dataset for imbalanced learning

The proposed hybrid sampling framework for imbalanced learning

Time series classification has recently received a lot of attention over the past three decades. Such data is widely available everywhere and collected with various sensors.

The dataset used in this study is the open-source location data of all players in broadcast video frames in football games of men’s Euro 2020 and women’s Euro 2022 competitions.

Time-series datasets for classification tasks

Time-series datasets for classification tasks

Time-series datasets for classification tasks

Time-series datasets for classification tasks

Time-series datasets for classification tasks

Time-series datasets for classification tasks