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M. Mazza, S. Cresci, M. Avvenuti, W. Quattrociocchi, and M. Tesconi, “RTbust: Exploiting temporal patterns for botnet detection on twitter,” in Proceedings of the 10th ACM Conference on Web Science, 2019
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L. Porfilio, M. Mazza, S. Cresci, M. Avvenuti, M. Tesconi, "Characterizing different actors in IOs through a large-scale quantitative analysis", Understanding Information Operations with Twitter Data: a Workshop Series, 2020
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M. Mazza, G. Cola, "The role of Twitter fraudulent accounts during the COVID-19 pandemic: a case study." The 1st International Workshop on Information Disorder: Disinformation and Coordinated Inauthentic Behavior (DISINFO’20), 2020
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M. Mazza, M. Avvenuti, S. Cresci, and M. Tesconi, “Investigating the difference between trolls, social bots, and humans on Twitter,” Computer Communications, vol. 196, pp. 23–36, 2022
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M. Mazza, G. Cola, and M. Tesconi, “Ready-to-(ab)use: From fake account trafficking to coordinated inauthentic behavior on Twitter,” Online Social Networks and Media, vol. 31, no. 100224, p. 100224, 2022
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P. Zola, G. Cola, M. Mazza and M. Tesconi, "Interaction Strength Analysis to Model Retweet Cascade Graphs", Applied Sciences, vol. 10, no. 23, p. 8394, 2020
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Quick Start for Students - vers. 2025-2026
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PhD @ Nanyang Technical University (NTU) & University of Pisa (UniPi)
Visiting students and scholars mobility agreement with the Academy of Advanced Interdisciplinary Research, Xidian, Xi'an, P.R. China
Agreement for Double Degree Program with Beihang University, Beijing, P.R. China
A Michele Pierallini il premio per la migliore tesi di dottorato dell'Università di Pisa
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Prof. Michele Migliore, Institute of Biophysics, National Research Council, Italy, State University of New York (SUNY), Downstate Health Science University, USA, "Computational Neuroscience", 16-20 March 2026
Prof. Danilo Orlando - Department of Information Engineering, University of Pisa – Italy, "Multivariate Statistical Signal Processing with Applications to Radar Systems", 7,8,14,15,21 May 2026
Prof. Pietro Cassarà, Dario Trevisan - ISTI,CNR - Dipartimento Matematica UniPi, "Perspectives on Transfer Learning: From Gradient Flow to NTK Regimes", 16,17,20,21,23,24,27,28 April 2026
Prof. Giovanni L.C. Masala, Dr. Ioanna Giorgi , University of Kent, School of Computing - UK, "Cognitive models in robotics", 23,27 March 2026
Prof. Marco Santello, Arizona State University – U.S.A., "Neural bases of Motor Control", 9-13 March 2026
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