Amid growing controversy over how tech giants harvest user data for AI, the Allen Institute for AI (AI2) has introduced a ...

Lim, J.Z., Mountstephens, J. and Teo, J. (2022) Eye-Tracking Feature Extraction for Biometric Machine Learning. Frontiers in Neurorobotics, 15, Article ID 796895.

This project implements a real-time anomaly detection system using an LSTM Autoencoder to analyze continuous data streams. The system is designed to detect unusual patterns, such as exceptional values ...

IDS (intrusion detection systems) use analysis of network traffic patterns to detect incidents of hacking. It is essential to do feature extraction in order to minimize the computational cost ...

For example, Martinez-Murcia et al. (2020) extracted features from 3D brain MRI data of patients with Alzheimer’s dementia using a 3D convolutional autoencoder (3D-CAE). They demonstrated that the ...

Keywords: feature extraction, variational autoencoder, ECG, electrocardiography, deep learning, explainable AI Citation: Kuznetsov VV, Moskalenko VA, Gribanov DV and Zolotykh NY (2021) Interpretable ...