43 datasets found

Time series dataset used in the paper

The dataset used in this paper is a collection of wind speed data from TUDelft.

The M2-competition dataset contains 1,000 time series.

The M3-competition dataset contains 1,000 time series.

The M4 dataset consists of human-written texts from several data sources, including Wikipedia, Reddit, and arXiv in the English subset of the dataset. It pairs the human-written...

Electricity2, Traffic3, and Wikipedia4, preprocessed exactly as in (Salinas et al., 2019a), with their properties listed in Table 3.

Electricity2, Traffic3, and Wikipedia4, preprocessed exactly as in (Salinas et al., 2019a), with their properties listed in Table 3.

The M4 competition dataset is a collection of time series data from six domains: micro, industry, macro, finance, demographic, and other.

The Wikipedia Web Traffic Dataset contains the daily page views of 145,063 Wikipedia web pages in 2015-2016.

The dataset used in the paper is not explicitly described, but it is mentioned that the authors used it for time series forecasting tasks.

The dataset used in the paper for healthcare claim amount prediction.

The dataset used in the paper for energy load forecasting.

The EEG dataset is used to evaluate the performance of the proposed method.

The dataset used in the paper is COVID-19 forecasting dataset, which includes various covariates such as mobility indices, non-pharmaceutical interventions, hospital resource...

MIMIC is a public dataset that describes clinical information of patients admitted to an Intensive Care Unit at the Beth Israel Deaconess Medical Center in Boston, Massachusetts...

Mackey-Glass chaotic time series [19] and the Sunspot data set [20].

Temperature dataset for time series forecasting

Time series forecasting using spectrograms and vision transformers

Multivariate time series forecasting is an important machine learning problem across many domains, including predictions of solar plant energy output, electricity consumption,...

A publicly available x-ray dataset with COVID v.s. non-COVID labels.