Davide Napolitano

Ph.D. candidate in Ingegneria Informatica E Dei Sistemi , 38^th cycle (2022-2025)
Department of Control and Computer Engineering (DAUIN)

Data Science and Database Technology. A.A. 2024/25, INGEGNERIA INFORMATICA (COMPUTER ENGINEERING). Collaboratore del corso
Data Science e Tecnologie per le Basi di Dati. A.A. 2024/25, INGEGNERIA INFORMATICA (COMPUTER ENGINEERING). Collaboratore del corso
Data Science and Database Technology. A.A. 2023/24, INGEGNERIA INFORMATICA (COMPUTER ENGINEERING). Collaboratore del corso
Challenge@PoliTo by Firms - Enertech. A.A. 2022/23, INGEGNERIA GESTIONALE (ENGINEERING AND MANAGEMENT). Collaboratore del corso

Napolitano, Davide; Vaiani, Lorenzo; Cagliero, Luca (In stampa)
Enhancing BERT-Based Visual Question Answering through Keyword-Driven Sentence Selection. In: 32nd ACM International Conference on Information and Knowledge Management
Contributo in Atti di Convegno (Proceeding)
D'Amico, Lorenzo; Napolitano, Davide; Vaiani, Lorenzo; Cagliero, Luca (2023)
PoliTo at MULTI-Fake-DetectiVE: Improving FND-CLIP for Multimodal Italian Fake News Detection. In: EVALITA 2023, Parma, Italy, September 7-8, 2023. ISSN 1613-0073
Contributo in Atti di Convegno (Proceeding)
Napolitano, Davide; Vaiani, Lorenzo; Cagliero, Luca (2023)
Learning Confidence Intervals for Feature Importance: A Fast Shapley-based Approach. In: Data Analytics solutions for Real-LIfe APplications (DARLI-AP), Ioannina (Greece), March 28-31, 2023. ISSN 1613-0073
Contributo in Atti di Convegno (Proceeding)
Napolitano, Davide; Cagliero, Luca (2023)
GX-HUI: Global Explanations of AI Models based on High-Utility Itemsets. In: 47th IEEE Annual Computers, Software, and Applications Conference, COMPSAC 2023, Torino (Italy), June 26-30, 2023, pp. 292-297. ISBN: 979-8-3503-2697-0
Contributo in Atti di Convegno (Proceeding)