In my last tutorial , you learned about convolutional neural networks and the theory behind them. In this tutorial, you’ll learn how to use a convolutional neural network to perform facial recognition ...

To support maintaining and upgrading this project, please kindly consider Sponsoring the project developer. Any level of support is a great contribution here ️ This repository aims to provide simple ...

Abstract: The unprecedented non-contact, non-invasive, and privacy-preserving nature of radar sensors has enabled various healthcare applications, including vital sign monitoring, fall detection, gait ...

Abstract: Intrusion detection is one of the important security problems in todays cyber world. A significant number of techniques have been developed which are based on machine learning approaches.

This is a package with state of the art methods for Explainable AI for computer vision. This can be used for diagnosing model predictions, either in production or while developing models. The aim is ...

This course is designed for Ph.D. students whose primary field of study is machine learning, or who intend to make machine learning methodological research a main focus of their thesis. It will give ...

This webpage is a benchmark data set for keystroke dynamics. It is a supplement to the paper "Comparing Anomaly-Detection Algorithms for Keystroke Dynamics," by Kevin Killourhy and Roy Maxion, ...

Department of Information Studies, University of Sheffield, Western Bank, Sheffield, S10 2TN, United Kingdom, and GlaxoSmithKline, Gunnels Wood Road, Stevenage, SG1 2NY, United Kingdom * Corresponding ...