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ExpertMatcher dataset
The dataset used for the ExpertMatcher framework, which includes six datasets: STL-10, MNIST, HAR, Reuters, Non Line of Sight, and Diabetic Retinopathy. -
Deep Learning-Based Device-Free Localization in Wireless Sensor Networks
The proposed framework for device-free localization (DFL) using convolutional deep belief networks (CDBN) and autoencoders. -
Efficient Privacy Preserving Edge Computing Framework for Image Classification
The proposed framework is for image classification in edge computing systems. It uses autoencoders to extract critical features from the data and then trains a classifier on the... -
Video forgery detection
Video forgery detection dataset -
Continuous-time Autoencoders for Regular and Irregular Time Series Imputation
Time series imputation is one of the most fundamental tasks for time series. Real-world time series datasets are frequently incomplete (or irregular with missing observations),... -
eICU dataset
eICU dataset used for predictive modeling and feature representation learning -
DMC dataset
DMC dataset used for predictive modeling and feature representation learning -
Representation Learning with Autoencoders for Electronic Health Records: A Co...
Electronic Health Records (EHRs) dataset used for predictive modeling and feature representation learning -
Size and Width of the Decoder of a Boolean Threshold Autoencoder
The dataset is used to study the size and width of autoencoders consisting of Boolean threshold functions. -
Churn analysis using deep convolutional neural networks and autoencoders
Customer temporal behavioral data represented as images to perform churn prediction by leveraging deep learning architectures prominent in image classification. -
Autoencoder dataset
The dataset used in this paper is a simple neural network with 784 input features, 20 latent space features, and 15680 parameters. -
Auto-encoding variational Bayes
Auto-encoding variational Bayes
