The dataset built by Bapst et al. in It is obtained from molecular dynamics simulations of an 80:20 Kob-Andersen mixture of N = 4096 particles in a three-dimensional box with...

The dataset used in this paper is a simulated dataset with 200 variables and 50 observations. The variables are generated from a multivariate normal distribution with a...

Inferring chemical reaction networks (CRN) from concentration time series is a challenge encouraged by the growing availability of quantitative temporal data at the cellular level.

The Iris dataset is a multivariate dataset introduced by Sir Ronald Fisher in his 1936 paper "The use of multiple measurements in taxonomic problems". It contains 150 samples...

The CARLA dataset is a complex urban-like environment with multi-agent dynamics, pedestrians, intersections, cross-traffic, roundabout, and changing weather conditions.

Sample codes for training the present models

A commonly observed pattern in machine learning models is an underprediction of the target feature, with the model’s predicted target rate for members of a given category...

The dataset used in the paper is a collection of digital breast tomosynthesis (DBT) stacks with masses inserted in the center of the stack.

A dataset of 200 samples with 1283 resolution, generated using VGrain software with a regularity of 0.73 and uniform random orientation

A dataset of 650 machine learning models presented in academic publications and relevant gray literature.