Learning Mobility Flows from Urban Features with Spatial Interaction Models and Neural Networks**To appear in the Proceedings of 2020 IEEE International Conference on Smart Computing (SMARTCOMP 2020). - Gevorg Yeghikyan; Felix L. Opolka; Mirco Nanni; Bruno Lepri; Pietro Liò (SMARTCOMP, 2020)

Learning Mobility Flows from Urban Features with Spatial Interaction Models and Neural Networks. - Gevorg Yeghikyan; Felix L. Opolka; Mirco Nanni; Bruno Lepri; Pietro Lio' (CoRR, 2020)

How will AI and automation transform society and cities? - Gevorg Yeghikyan (CoRR, 2020)

Analysis and comparison of centrality measures applied to urban networks with data. - Manuel Curado; Leandro Tortosa; José-Francisco Vicent; Gevorg Yeghikyan (J. Comput. Sci., 2020)

An algorithm for ranking the nodes of multiplex networks with data based on the PageRank concept. - Leandro Tortosa; Jose F. Vicent; Gevorg Yeghikyan (Appl. Math. Comput., 2021)

Understanding mobility in Rome by means of a multiplex network with data. - Manuel Curado; Leandro Tortosa; Jose F. Vicent; Gevorg Yeghikyan (J. Comput. Sci., 2021)