<?xml version="1.0" encoding="UTF-8"?><xml><records><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>47</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Xylouris, G.</style></author><author><style face="normal" font="default" size="100%">Trakadas, P.</style></author><author><style face="normal" font="default" size="100%">Nomikos, N.</style></author><author><style face="normal" font="default" size="100%">Giannopoulos, A</style></author><author><style face="normal" font="default" size="100%">Nikolakakis, V.</style></author><author><style face="normal" font="default" size="100%">Patsourakis, G.</style></author><author><style face="normal" font="default" size="100%">Gkonis, P</style></author><author><style face="normal" font="default" size="100%">Mandilaris, C.</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">&lt;div&gt;A Distributed Trustable AI Engine for Anomaly Detection in 6GNetworks: Architecture, Use Cases and Performance Evaluation&lt;/div&gt;</style></title><secondary-title><style face="normal" font="default" size="100%">2024 IEEE International Workshop on Computer-Aided Modeling and Design of Communication Links and Networks (CAMAD)</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">In Press</style></year><pub-dates><date><style  face="normal" font="default" size="100%">21-23 October</style></date></pub-dates></dates><publisher><style face="normal" font="default" size="100%">IEEE</style></publisher><pub-location><style face="normal" font="default" size="100%">Athens, Greece</style></pub-location><language><style face="normal" font="default" size="100%">eng</style></language></record></records></xml>