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Number of items: 9.

Conti, Lorenzo (A.A. 2023/2024) Leveraging ML to fight back the cybersecurity risk of credential stuffing attacks. Tesi di Laurea in Data science in action, Luiss Guido Carli, relatore Alessio Martino, pp. 71. [Master's Degree Thesis]

Menchali, Adib (A.A. 2023/2024) Transformative AI for readers: leveraging NLP, transformers and retrieval-augmented generation to build an AI-driven book companion. Tesi di Laurea in Data science in action, Luiss Guido Carli, relatore Alessio Martino, pp. 61. [Master's Degree Thesis]

Amadori, Marco (A.A. 2022/2023) Fake news spread and detection: a network and machine learning approach. Tesi di Laurea in Data science in action, Luiss Guido Carli, relatore Giuseppe Francesco Italiano, pp. 76. [Master's Degree Thesis]

Petroni, Leonardo (A.A. 2022/2023) Artificial intelligence and multiple sclerosis: MRIs segmentation and prediction of patients related info. Tesi di Laurea in Data science in action, Luiss Guido Carli, relatore Giuseppe Francesco Italiano, pp. 90. [Master's Degree Thesis]

Baglini, Lorenzo (A.A. 2022/2023) Data science and the world of football: how data convey choices. Tesi di Laurea in Data science in action, Luiss Guido Carli, relatore Giuseppe Francesco Italiano, pp. 52. [Master's Degree Thesis]

Ardito, Carlo (A.A. 2022/2023) How SAP is shaping the future of business intelligence. Tesi di Laurea in Data science in action, Luiss Guido Carli, relatore Giuseppe Francesco Italiano, pp. 9. [Master's Degree Thesis]

Flores, Giacomo (A.A. 2022/2023) Leveraging the power of data science and machine learning: an in-depth analysis of their application in the Formula 1 championship. Tesi di Laurea in Data science in action, Luiss Guido Carli, relatore Giuseppe Francesco Italiano, pp. 76. [Master's Degree Thesis]

Rosatelli, Davide (A.A. 2022/2023) A cybersecurity application of data science: intrusion detection systems and data poisoning. Tesi di Laurea in Data science in action, Luiss Guido Carli, relatore Alessio Martino, pp. 73. [Master's Degree Thesis]

Colangelo, Roberto (A.A. 2022/2023) Machine learning and music: predicting the level of energy conveyed by a soundtrack. Tesi di Laurea in Data science in action, Luiss Guido Carli, relatore Giuseppe Francesco Italiano, pp. 85. [Master's Degree Thesis]

This list was generated on Thu Jan 2 01:38:55 2025 CET.