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Displaying items by tag: Machine learning
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Avvenuti, M., Cresci, S., Nizzoli, L., & Tesconi, M. (2018, June). GSP (Geo-Semantic-Parsing): geoparsing and geotagging with machine learning on top of linked data. In European Semantic Web Conference (pp. 17-32). Springer, Cham.
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Behavioral Analysis For a Continuous User Authentication
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Bertelli E, Mercatelli L, Marzi C, Pachetti E, Baccini M, Barucci A, Colantonio S, Gherardini L, Lattavo L, Pascali MA, Agostini S, Miele V. Machine and Deep Learning Prediction Of Prostate Cancer Aggressiveness Using Multiparametric MRI
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F. Martinelli, F. Mercaldo, C. Michailidou, A. Saracino: “Phylogenetic Analysis for Ransomware Detection and Classification into Families”
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Fagni, T., Nizzoli, L., Petrocchi, M., & Tesconi, M. (2019). Six Things I Hate About You (in Italian) and Six Classification Strategies to More and More Effectively Find Them. In ITASEC.
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Giacomo Giorgi, Andrea Saracino, Fabio Martinelli: Email Spoofing Attack Detection through an End to End Authorship Attribution System. ICISSP 2020: 64-74
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M. G. Campana, F. Delmastro, R. Bruno, "A Machine-Learned Ranking Algorithm for Dynamic and Personalised Car Pooling Services", IEEE ITSC 2016, Rio de Janeiro, Brazil, November 1-4, 2016
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Simone Facchini, Giacomo Giorgi, Andrea Saracino, Gianluca Dini. Multi-level Distributed Intrusion Detection System for an IoT based Smart Home Environment
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Prof. Marco Santello, Arizona State University – U.S.A., "Neural bases of Motor Control", 9-13 March 2026
Prof. Volker Bertram, DNV – Det Norske Veritas, Hamburg, Germany, "Advanced Digital Technology in Maritime Applications", 23-27 March 2026
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
Chiara Caselli, University of Pisa-CLI, "English for Research Publication and Presentation Purposes (ERP)", January-April 2026
Prof. Vladimir Carli, Karolinska Institutet, Stockholm, Sweden, "The role of emerging ICT technologies for mental health and well-being", 9-13 February 2026
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