BIOENGINEER

Unsupervised autoencoder with IQR threshold detects 5G DoS/DDoS traffic in benchmark study

NIDD, a deep autoencoder trained only on benign flows and thresholded with an adaptive IQR rule detected 321,012 of 321,357 ...
BIOENGINEER

Autoencoder clustering boosts federated sentiment analysis under label skew

A transformer-autoencoder method that groups federated clients without labels improved sentiment-classification accuracy across controlled label-skew conditions on Sentiment140 and IMDB.
techtarget

Autoencoders' example uses augment data for machine learning

Developers frequently turn to autoencoders to organize data for machine learning algorithms to improve the efficiency and accuracy of algorithms with less effort from data scientists. Data scientists ...
Visual Studio Magazine

Data Dimensionality Reduction Using a Neural Autoencoder with C#

Dr. James McCaffrey of Microsoft Research presents a full-code, step-by-step tutorial on creating an approximation of a dataset that has fewer columns. Imagine that you have a dataset that has many ...
Visual Studio Magazine

Autoencoder Anomaly Detection Using PyTorch

Dr. James McCaffrey of Microsoft Research provides full code and step-by-step examples of anomaly detection, used to find items in a dataset that are different from the majority for tasks like ...
techtarget

Autoencoders' example uses augment data for machine learning

Developers frequently turn to autoencoders to organize data for machine learning algorithms to improve the efficiency and accuracy of algorithms with less effort from data scientists. Data scientists ...