09/06/2022 | Intelligente Eingebettete Systeme

New con­fer­ence pa­per ac­cep­ted for the In­ter­na­tional Con­fer­ence on Ar­chi­tec­ture of Com­put­ing Sys­tems (ARCS) 2022

In the paper "NDNET: a Unified Framework for Anomaly and Novelty Detection" Jens Decke, Jörn Schmeißing, Diego Botache, Maarten Bieshaar, Bernhard Sick and Chritian Gruhl present a Python framework that unifies different algorithms for detecting novelties and anomalies in data streams and simplifies experimentation and evaluation in different application areas.