GeNMSim - The Agent Simulator. - Ilana Gani-Naor; Udi Margolin; Raz Rafaeli (Tcl/Tk Workshop, 1997)

Can machine learning aid in delivering new use cases and scenarios in 5G? - Teodora Sandra Buda; Haytham Assem; Lei Xu; Danny Raz; Udi Margolin; Elisha J. Rosensweig; Diego R. López; Marius Iulian Corici; Mikhail Smirnov; Robert Mullins; Olga Uryupina; Alberto Mozo; et al. (NOMS, 2016)

Using Machine Learning to Detect Noisy Neighbors in 5G Networks. - Udi Margolin; Alberto Mozo; Bruno Ordozgoiti Rubio; Danny Raz; Elisha J. Rosensweig; Itai Segall (CoRR, 2016)

Deep convolutional neural networks for detecting noisy neighbours in cloud infrastructure. - Bruno Ordozgoiti; Alberto Mozo; Sandra Gómez Canaval; Udi Margolin; Elisha J. Rosensweig; Itai Segall (ESANN, 2017)

Scalable Prediction of Service-Level Events in Datacenter Infrastructure Using Deep Neural Networks. - Alberto Mozo; Itai Segall; Udi Margolin; Sandra Gómez Canaval (IEEE Access, 2019)

Providing Real-Time, High-Quality User and Machine Generated Content over a 5G Network. - Dimitris Giannopoulos; Panagiotis Papaioannou; Christos Tranoris; Spyros G. Denazis; Baruch Altman; Ran Rahav; Udi Margolin (MeditCom, 2021)

Monitoring and Evaluation of 5G Key Performance Indicators in Media Vertical Applications. - Dimitris Vordonis; Dimitris Giannopoulos; Panagiotis Papaioannou; Christos Tranoris; Spyros G. Denazis; Ran Rahav; Baruch Altman; Anne-Marie Bosneag; Shubham Jain; Udi Margolin; Bader Mawasy; Konstantinos Oikonomou; et al. (MeditCom, 2022)