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Extracting Rules from Event Data for Study Planning
Event data from Campus Management Systems (CMS) to analyze the study paths of higher education students. -
FIST: A Feature-Importance Sampling and Tree-Based Method for Automatic Desig...
A large dataset for automatic design flow parameter tuning, consisting of 9 designs with 1728 parameter samples each. -
50 Classification Data Sets
The dataset used in the paper is a collection of 50 classification data sets downloaded from the UCI Machine Learning Repository. -
Graph-based Molecular Representation Learning
Molecular representation learning (MRL) is a key step to build the connection between machine learning and chemical science. -
Identification of closure terms using machine learning
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... -
Sinusoidal functions dataset
The dataset used in this paper is a collection of sinusoidal functions with different dimensions. -
CCAIR-AI-Reproducibility
The dataset contains citation contexts from papers involved in Machine Learning Reproducibility Challenges. -
PsychFM: Predicting Human Behavior
Psychological Factorisation Machine (PsychFM) dataset is a hybrid model that combines concepts from machine learning and psychological theories. -
Generating Elementary Integrable Expressions
Generating elementary integrable expressions using the Risch algorithm -
Projection-Cost-Preserving Sketches
In this note we illustrate how common matrix approximation methods, such as random projection and random sampling, yield projection-cost-preserving sketches, as introduced in... -
Student Performance Dataset
Student performance dataset is a regression task which contains 33 students as training and testing examples and their performance based on features such as average number of... -
test_windlow
The test dataset used to evaluate the performance of the neural network model with different wind forcing. -
test_windstd
The test dataset used to evaluate the performance of the neural network model. -
train_noise01
The dataset used to train and test the neural network model for representing ill-known parts of a numerical model with noise. -
train_nonoise
The dataset used to train and test the neural network model for representing ill-known parts of a numerical model. -
Ship Power Prediction Dataset
The dataset used in this study is a large vessel equipped with the Silverstream Air Lubrication System. The air lubrication system works through use of fluid sheering to create... -
Dancing Bees Dataset
The dataset consists of the spatial trajectories of bees performing the waggle dance. -
NuCLR: Nuclear Co-Learned Representations
NuCLR: Nuclear Co-Learned Representations, a deep learning model that predicts various nuclear observables, including binding and decay energies, and nuclear charge radii. -
Bivariate artificial data
Bivariate artificial data -
Physics-informed Graph Neural Networks for Dynamical Systems
The dataset used in this paper is a collection of simulated trajectories of physical systems, including n-pendulum, n-spring, 4-body gravitational system, and rigid-body system.
