-
Signal Interfered IQ dataset (SIIQ)
A supervised SNR classification application is under investigation as an example for MUL interference cancellation. The dataset DU = (x(i), γ(i)) (i ∈ {1, 2,..., T}) where γ(i)... -
O.C.E.A.N. model of personality dataset
The dataset used in this paper is a collection of digital footprints of Internet users, including Facebook likes, and their corresponding psycho-demographic profiles. -
HIV-1 protease cleavage dataset
The HIV-1 protease cleavage dataset is compiled from four data source files, with the primary purpose to develop effective protease cleavage inhibitors by predicting whether the... -
Statistics on the Stiefel manifold
The Stiefel manifold of the compact type is often encountered in many fields of Engineering including, signal and image processing, machine learning, numerical optimization and... -
Model of Learning in C. elegans
A mathematical model of the fundamental roots of learning mechanisms within the brain of Caenorhabditis elegans. -
EMG and IMU signals for lower-limb kinematics prediction
The dataset used in this paper is a collection of EMG and IMU signals from 10 healthy subjects performing level walking. The dataset is used to evaluate the performance of... -
Adaptive Gaussian Copula ABC
The dataset used in the paper is a synthetic dataset and three real-world inference tasks. -
Bayesian Prediction for Artificial Intelligence
The dataset used in the paper is a collection of data for Bayesian prediction in artificial intelligence. -
Machine Learning and Deep Learning Methods for Cybersecurity
Machine learning and deep learning methods for cybersecurity -
An Enhanced Electrocardiogram Biometric Authentication System Using Machine L...
ECG-based authentication system using regression as a machine learning technique -
Rapid detection of rare events from in situ X-ray diffraction data using mach...
High-energy X-ray diffraction methods can non-destructively map the 3D microstructure and associated attributes of metallic polycrystalline engineering materials in their bulk... -
Classification of Major Depressive Disorder via Multi-Site Weighted LASSO Model
Large-scale collaborative analysis of brain imaging data, in psychiatry and neurology, offers a new source of statistical power to discover features that boost accuracy in... -
Rastrigin function and Griewank function
The dataset used in the paper is a non-convex optimization problem, specifically the Rastrigin function and the Griewank function. -
UNSUPERVISED LATENT BEHAVIOR MANIFOLD LEARNING FROM ACOUSTIC FEATURES: AUDIO2...
Behavioral annotation using signal processing and machine learning is highly dependent on training data and manual annotations of behavioral labels. The proposed framework... -
High Throughput Training of Deep Surrogates from Large Ensemble Runs
The dataset used in this paper is a large ensemble run of simulations for training deep surrogates. -
Discriminative Calibration
Discriminative calibration for Bayesian computation, applicable to MCMC, variational and simulation based inference, or even their ensembles. -
Fusarium head blight detection in wheat under field conditions
A dataset used for detecting Fusarium head blight in wheat under field conditions using a hyperspectral camera and machine learning. -
Decoy-MNIST
The dataset used in the paper is a synthetic dataset similar to decoy-MNIST of Ross et al. (2017) with induced shortcuts and is presented in Section 5.2. For evaluation on... -
Controlled Latent Space Sampling for Antimicrobial Peptide Design
A dataset of peptide sequences used for training and testing the proposed CLaSS method for controlled generation of antimicrobial peptides.
