Elenco Pubblicazioni - Publications (1524)
A. Boccadifuoco, A. Mariotti, K. Capellini, S. Celi, and M. V. Salvetti. “Validation of numerical simulations of thoracic aorta hemodynamics: comparison with in vivo measurements and stochastic sensitivity analysis.” Cardiovasc. Eng. Technol. 2018
Written by KATIA CAPELLINI
Abstract: Computational fluid dynamics (CFD) and 4D-flow magnetic resonance imaging (MRI) are synergically used for the simulation and the analysis of the flow in a patient-specific geometry of a healthy thoracic aorta. CFD simulations are…
S. Cresci, S. Minutoli, L. Nizzoli, S. Tardelli, M. Tesconi: “Enriching Digital Libraries with Crowdsensed Data”, Italian Research Conference on Digital Libraries (IRCDL’19), January 2019
Written by SERENA TARDELLI
Abstract: SoBigData is a Research Infrastructure (RI) aiming to provide an integrated ecosystem for ethic-sensitive scientific discoveries and advanced applications of social data mining. A key milestone of the project focuses on data, methods and…
S. Cresci, F. Lillo, D. Regoli, S. Tardelli, M. Tesconi: “Cashtag piggybacking: Uncovering spam and bot activity in stock microblogs on Twitter”, ACM Transactions on the Web (TWEB), 13(2), 11, April 2019
Written by SERENA TARDELLI
Abstract: Microblogs are increasingly exploited for predicting prices and traded volumes of stocks in financial markets. However, it has been demonstrated that much of the content shared in microblogging platforms is created and publicized by…
S. Cresci, F. Lillo, D. Regoli, S. Tardelli, M. Tesconi: “Cashtag piggybacking: Uncovering spam and bot activity in stock microblogs on Twitter”, ACM Transactions on the Web (TWEB), 13(2), 11, April 2019
Written by SERENA TARDELLI
Abstract: Microblogs are increasingly exploited for predicting prices and traded volumes of stocks in financial markets. However, it has been demonstrated that much of the content shared in microblogging platforms is created and publicized by…
Federico A. Galatolo, Mario G. C. A. Cimino, Gigliola Vaglini: Using stigmergy as a computational memory in the design of recurrent neural networks
Written by FEDERICO ANDREA GALATOLO
In this paper, a novel architecture of Recurrent Neural Network (RNN) is designed and experimented. The proposed RNN adopts a computational memory based on the concept of stigmergy. The basic principle of a Stigmergic Memory…
