Giuseppe Manco
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ARES: Anomaly Recognition Model For Edge Streams
Algorithmic Drift: A simulation framework to study the effects of recommender systems on user preferences
ARES: Anomaly Recognition Model For Edge Streams
Flexible Generation of Preference Data for Recommendation Analysis
Algorithmic Drift: A Simulation Framework to Study the Effects of Recommender Systems on User Preferences
Dawn of LLM4Cyber: Current Solutions, Challenges, and New Perspectives in Harnessing LLMs for Cybersecurity
GenRec: A Flexible Data Generator for Recommendations
Neuro-Symbolic techniques for Predictive Maintenance
Siamese Network for Fake Item Detection
Using AI to face covert attacks in IoT and softwarized scenarios: challenges and opportunities
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