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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. Librino Federico, Istituto di Informatica e Telematica del CNR – Pisa - Italy, "Probabilistic Models for Networks: Random Graphs and Stochastic Geometry", 6,13,20,27 May 2026
Dr. Siphesihle Sithungu, University of Johannesburg – South Africa, "Generative Models for Intrusion Detection and Cybersecurity Analytics", 13-17 April 2026
Prof. Giovanni L.C. Masala, Dr. Ioanna Giorgi , University of Kent, School of Computing - UK, "Cognitive models in robotics", 24,27 March 2026
MODIFICA INIZIO CORSO - Prof. Volker Bertram, DNV – Det Norske Veritas, Hamburg, Germany, "Advanced Digital Technology in Maritime Applications", 24-27 March 2026
MODIFICA DATE CORSO Prof. Danilo Orlando - Department of Information Engineering, University of Pisa – Italy, "Multivariate Statistical Signal Processing with Applications to Radar Systems", 8,15, 22, 28 May - 4 Jun 2026
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