268 datasets found

The dataset is a collection of heap memory snapshots of OpenSSH processes, extracted using SSHKex, with features added for SSH client monitoring.

A dataset of images from the XMM-Newton space telescope Optical Monitoring camera showing different types of artefacts.

A respiratory sound database for the development of automated classification, focusing on respiratory conditions and biometric analysis.

Machine-learned 3D building vectorization from satellite imagery.

The House-Price-8H prototask (HPP) of the Census-house Data Set contains 22, 784 samples of dimension 8.

The Appliances energy prediction Data Set (AEP) contains 19, 735 samples of dimension 27.

The SARCOS dataset contains 44, 484 training and 4, 449 testing observations from a seven degrees-of-freedom SARCOS anthropomorphic robot arm.

Physicochemical Properties of Protein Tertiary Structure Data Set. UCI Machine Learning Repository, https://doi.org/10.24432/C5QW3H.

Event data from Campus Management Systems (CMS) to analyze the study paths of higher education students.

A large dataset for automatic design flow parameter tuning, consisting of 9 designs with 1728 parameter samples each.

The dataset used in the paper is a collection of 50 classification data sets downloaded from the UCI Machine Learning Repository.

Molecular representation learning (MRL) is a key step to build the connection between machine learning and chemical science.

The dataset used in this paper is a collection of kinetic simulations of magnetic reconnection. The simulations are performed using the iPiC3D code and are used to train machine...

The dataset used for testing the utility of the nearest neighbor machine learning algorithm for photometric redshift estimation.

The dataset used for testing the utility of the nearest neighbor machine learning algorithm for photometric redshift estimation.

The dataset used for training a nearest neighbor instance-based machine learning algorithm to generate full photometric redshift probability density functions for objects in the...

The dataset used for training a nearest neighbor instance-based machine learning algorithm to generate full photometric redshift probability density functions for objects in the...

The dataset used in this paper is a collection of sinusoidal functions with different dimensions.

The dataset contains citation contexts from papers involved in Machine Learning Reproducibility Challenges.

Psychological Factorisation Machine (PsychFM) dataset is a hybrid model that combines concepts from machine learning and psychological theories.