New video: Anomaly detection in radio networks and critically ill patients
Anomaly detection techniques are well-known in machine learning. Tools and methods like dynamically moving average, isolation forests or thresholds are used often. Although they are defined for general use, they often inhibit different results if used in computer-generated data or human-generated data. In this seminar, I will present the latest results from the associated project microHRV, where we use anomaly detection techniques to help critically ill patients (e.g. stroke) and