12 datasets found

The dataset used in this paper is a real-world arrhythmia dataset for evaluating the resilience of linear classification algorithms under training data attacks.

The Knowledge Extraction based on Evolutionary Learning (KEEL) repository contains 64 datasets for the experiments.

A large benchmarking effort that includes a dataset repository curated for SR, as well as a benchmarking library designed to allow researchers to easily contribute methods.

The dataset used in the paper is a collection of 156 benchmark datasets for machine learning model evaluation.

The dataset consists of 20 malware families. Three of these malware families, namely, Winwebsec, Zeroaccess, and Zbot, are from the Malicia dataset, while the remaining 17...

The dataset used for benchmarking machine learning force fields (MLFF) and jet tagging.

The dataset used for benchmarking machine learning force fields (MLFF) and jet tagging.

The dataset used for benchmarking machine learning force fields (MLFF) and jet tagging.

The dataset used for benchmarking machine learning force fields (MLFF) and jet tagging.

The dataset used in this work is a custom synthetic dataset generated using the liquid-dsp library, containing 600000 examples of each of 13.8 million examples, with SNRs...

The dataset used for testing the performance of the proposed LightGCNet-I and LightGCNet-II algorithms on the wine quality dataset.

The MNIST dataset (Lecun et al., 1998), which consists of 60,000 gray-scale images of handwritten digits. Each image has an accompanying label in {0, 1,..., 9}, and is stored as...