Neural Explainers and Multimodal Learning

Master of Science

• Challenge@PoliTo by Firms - Enertech. A.A. 2022/23, INGEGNERIA GESTIONALE (ENGINEERING AND MANAGEMENT). Collaboratore del corso
• Data Science and Database Technology. A.A. 2023/24, INGEGNERIA INFORMATICA (COMPUTER ENGINEERING). Collaboratore del corso
• Data Science and Database Technology. A.A. 2024/25, INGEGNERIA INFORMATICA (COMPUTER ENGINEERING). Collaboratore del corso
• Data Science and Database Technology. A.A. 2025/26, 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 e Tecnologie per le Basi di Dati. A.A. 2024/25, INGEGNERIA INFORMATICA (COMPUTER ENGINEERING). Collaboratore del corso

Bachelor of Science

• Basi di dati. A.A. 2023/24, INGEGNERIA INFORMATICA. Collaboratore del corso
• Basi di dati. A.A. 2024/25, INGEGNERIA GESTIONALE. Collaboratore del corso

• DBDM - Database and Data Mining Group

• Napolitano, Davide (2026)
  Advancing Deep Learning Across Modalities: From Explainability to Multimodal Content Understanding. relatore: CAGLIERO, LUCA; CHIUSANO, SILVIA ANNA; , 38. XXXVIII Ciclo, P.: 160
  Doctoral Thesis
• Napolitano, Davide; Cagliero, Luca (2026)
  LightningSHAP: A Cost-Effective Approach to Local Shapley Values Estimation. In: IEEE TRANSACTIONS ON ARTIFICIAL INTELLIGENCE, vol. 7, pp. 3787-3797. ISSN 2691-4581
  Contributo su Rivista
• Yassine, Ali; Savelli, Claudio; Napolitano, Davide; Gallipoli, Giuseppe; Cagliero, Luca; ... (2026)
  AC/DG at Cruciverb-IT: Retrieval-Based Approaches for Italian Crossword Clue Answering. In: EVALITA 2026 9th Evaluation Campaign of Natural Language Processing and Speech Tools for Italian, Bari (ITA), February 26th-27th, 2026, pp. 1-11. ISSN 1613-0073
  Contributo in Atti di Convegno (Proceeding)
• Napolitano, Davide; Cagliero, Luca; Battiloro, Fabrizio (2026)
  Benchmarking Visual LLMs Resilience to Unanswerable Questions on Visually Rich Documents. In: Fortieth AAAI Conference on Artificial Intelligence (AAAI-26), Singapore (SGP), January 20-27, 2026, pp. 8125-8133. ISBN: 978-1-57735-906-7
  Contributo in Atti di Convegno (Proceeding)
• Napolitano, Davide; Vaiani, Lorenzo; Cagliero, Luca (2025)
  PoliTo at SemEval-2025 Task 1: Beyond Literal Meaning: A Chain-of-Though Approach for Multimodal Idiomacity Understanding. In: 19th International Workshop on Semantic Evaluation, Vienna (AT), July 27-August 1, 2025, pp. 2071-2076
  Contributo in Atti di Convegno (Proceeding)
• Vaiani, Lorenzo; Napolitano, Davide; Cagliero, Luca (2025)
  A Graph Attention Network Combining Multifaceted Element Relationships for Full Document-Level Understanding. In: COMPUTERS, vol. 14. ISSN 2073-431X
  Contributo su Rivista
• Napolitano, Davide; Cagliero, Luca (2024)
  BONES: a Benchmark fOr Neural Estimation of Shapley values. In: 2024 IEEE 18th International Conference on Application of Information and Communication Technologies (AICT), Turin (ITA), 25-27 September 2024. ISBN: 979-8-3503-8753-7
  Contributo in Atti di Convegno (Proceeding)
• Napolitano, Davide; Cagliero, Luca (2024)
  Evaluating the Reliability of Shapley Value Estimates: An Interval-Based Approach. In: HI-AI 2024 KDD Workshop on Human-Interpretable AI 2024, Barcelona (ESP), August 26, 2024, pp. 87-94
  Contributo in Atti di Convegno (Proceeding)
• Napolitano, D.; Vaiani, L.; Cagliero, L. (2024)
  On Leveraging Multi-Page Element Relations in Visually-Rich Documents. In: 48th IEEE Annual Computers, Software, and Applications Conference, COMPSAC 2024, Osaka (JPN), 02-04 July 2024, pp. 360-365. ISBN: 979-8-3503-7696-8
  Contributo in Atti di Convegno (Proceeding)
• Avignone, Andrea; Napolitano, Davide; Cagliero, Luca; Chiusano, Silvia (2024)
  FlowCasting: A Dynamic Machine Learning based Dashboard for Bike-Sharing System Management. In: 2024 IEEE 18th International Conference on Application of Information and Communication Technologies (AICT), Turin (ITA), 25-27 September 2024. ISBN: 979-8-3503-8753-7
  Contributo in Atti di Convegno (Proceeding)
• Napolitano, Davide; Vaiani, Lorenzo; Cagliero, Luca (2024)
  Efficient Neural Network-based Estimation of Interval Shapley Values. In: IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING, vol. 36, pp. 8108-8119. ISSN 1041-4347
  Contributo su Rivista
• 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)
• 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)