
Ph.D. candidate in Ingegneria Informatica E Dei Sistemi , 37th cycle (2021-2024)
Department of Control and Computer Engineering (DAUIN)
Research Assistant
Department of Control and Computer Engineering (DAUIN)
Docente esterno e/o collaboratore didattico
Department of Control and Computer Engineering (DAUIN)
Profile
PhD
Thesis title
Exploring the Use of Deep Models to Analyze Data in Multimodal Scenarios
Research topic
Exploring the use of Deep Natural Language Processing models to analyze documents in cross-lingual and multi-domain scenarios
Tutors
Research presentation
Research interests
Biography
My PhD focuses on multimodal learning. I am deeply passionate about unraveling the complexities of social media content and visually rich documents.
Beyond my core expertise in vision-language problems, I am keenly interested in the audio and video domains. This diverse skill set allows me to approach a wide range of complex challenges, further expanding the horizons of my research endeavors.
Teaching
Teachings
Master of Science
- Data science lab: process and methods. A.A. 2024/25, DATA SCIENCE AND ENGINEERING. Collaboratore del corso
- Deep natural language processing. A.A. 2024/25, DATA SCIENCE AND ENGINEERING. Collaboratore del corso
- Data science lab: process and methods. A.A. 2023/24, DATA SCIENCE AND ENGINEERING. Collaboratore del corso
- Deep natural language processing. A.A. 2023/24, DATA SCIENCE AND ENGINEERING. Collaboratore del corso
- Data science lab: process and methods. A.A. 2022/23, DATA SCIENCE AND ENGINEERING. Collaboratore del corso
- Data science lab: process and methods. A.A. 2021/22, DATA SCIENCE AND ENGINEERING. Collaboratore del corso
Bachelor of Science
- Dati, algoritmi e le frontiere dell'informatica - Intraprendenti. A.A. 2024/25, INGEGNERIA AEROSPAZIALE. Collaboratore del corso
- Basi di dati. A.A. 2022/23, INGEGNERIA INFORMATICA. Collaboratore del corso
- Basi di dati. A.A. 2021/22, INGEGNERIA INFORMATICA. Collaboratore del corso
Research
Research groups
Publications
Latest publications View all publications in Porto@Iris
- 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) - 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 - Vaiani, Lorenzo; Cagliero, Luca; Garza, Paolo (2024)
Emotion Recognition from Videos Using Multimodal Large Language Models. In: FUTURE INTERNET, vol. 16. ISSN 1999-5903
Contributo su Rivista - Ding, Yihao; Vaiani, Lorenzo; Han, Caren; Lee, Jean; Garza, Paolo; Poon, Josiah; ... (2024)
3MVRD: Multimodal Multi-task Multi-teacher Visually-Rich Form Document Understanding. In: Association for Computational Linguistics 2024, Bangkok, Thailand and virtual meeting, August 11-16, 2024, pp. 15233-15244
Contributo in Atti di Convegno (Proceeding) - Benedetto, Irene; Koudounas, Alkis; Vaiani, Lorenzo; Pastor, Eliana; Cagliero, Luca; ... (2024)
MAINDZ at SemEval-2024 Task 5: CLUEDO-Choosing Legal oUtcome by Explaining Decision through Oversight. In: SemEval-2024 (Workshop of ACL), Mexico City (MEX), 20-21 June, 2024, pp. 997-1005
Contributo in Atti di Convegno (Proceeding)