Jamming in Underwater Sensor Networks as a Bayesian Zero-Sum Game with Position Uncertainty. - Valentina Vadori; Maria Scalabrin; Anna V. Guglielmi; Leonardo Badia (GLOBECOM, 2015)

A Bayesian forecasting and anomaly detection framework for vehicular monitoring networks. - Maria Scalabrin; Matteo Gadaleta; Riccardo Bonetto; Michele Rossi (MLSP, 2017)

Millimetric diagnosis: Machine learning based network analysis for mm-wave communication. - Maria Scalabrin; Michele Rossi; Guillermo Bielsa; Adrian Loch; Jörg Widmer (WoWMoM, 2017)

Beam Training and Data Transmission Optimization in Millimeter-Wave Vehicular Networks. - Maria Scalabrin; Nicolò Michelusi; Michele Rossi (GLOBECOM, 2018)

Energy Sustainable Mobile Networks via Energy Routing, Learning and Foresighted Optimization. - Ángel Fernández Gambín; Maria Scalabrin; Michele Rossi (CoRR, 2018)

Online Power Management Strategies for Energy Harvesting Mobile Networks. - Ángel Fernández Gambín; Maria Scalabrin; Michele Rossi (IEEE Trans. Green Commun. Netw., 2019)

Adaptive Millimeter-Wave Communications Exploiting Mobility and Blockage Dynamics. - Muddassar Hussain; Maria Scalabrin; Michele Rossi; Nicolò Michelusi (ICC, 2020)

Machine Learning Based Network Analysis Using Millimeter-Wave Narrow-Band Energy Traces. - Maria Scalabrin; Guillermo Bielsa; Adrian Loch; Michele Rossi; Joerg Widmer (IEEE Trans. Mob. Comput., 2020)

Mobility and Blockage-Aware Communications in Millimeter-Wave Vehicular Networks. - Muddassar Hussain; Maria Scalabrin; Michele Rossi; Nicolò Michelusi (IEEE Trans. Veh. Technol., 2020)