
Ph.D. in Ingegneria Informatica E Dei Sistemi , 34th cycle (2018-2021)
Ph.D. obtained in 2022
Dissertation:
Digging Deep Into Urban Mobility Data Through Machine Learning Techniques (Abstract)
Tutors:
Silvia Anna ChiusanoProfile
Research topic
Data science techniques applied to the mobility context in urban scenarios
Research interests
Biography
Awards and Honors
Teaching
Teachings
Bachelor of Science
- Basi di dati. A.A. 2018/19, INGEGNERIA INFORMATICA. Collaboratore del corso
- Basi di dati. A.A. 2019/20, INGEGNERIA INFORMATICA. Collaboratore del corso
- Basi di dati. A.A. 2020/21, INGEGNERIA INFORMATICA. Collaboratore del corso
Publications
Works published during the Ph.D. View all publications in Porto@Iris
- Daraio, Elena (2022)
Digging Deep Into Urban Mobility Data Through Machine Learning Techniques. relatore: CHIUSANO, SILVIA ANNA; , 34. XXXIV Ciclo, P.: 190
Doctoral Thesis - Daraio, Elena; Cagliero, Luca; Chiusano, Silvia; Garza, Paolo (2022)
Complementing Location-Based Social Network Data With Mobility Data: A Pattern-Based Approach. In: IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, vol. 23, pp. 21216-21227. ISSN 1524-9050
Contributo su Rivista - Daraio, Elena; Cagliero, Luca; Chiusano, SILVIA ANNA; Garza, Paolo; Ricupero, Giuseppe (2020)
An explainable data-driven approach to web directory taxonomy mapping. In: 24th International Conference on Knowledge-Based and Intelligent Information & Engineering Systems, Verona (IT), 16-18 september 2020, pp. 1101-1110. ISSN 1877-0509
Contributo in Atti di Convegno (Proceeding) - Daraio, Elena; Cagliero, Luca; Chiusano, Silvia; Garza, Paolo; Giordano, Danilo (2020)
Predicting Car Availability in Free Floating Car Sharing Systems: Leveraging Machine Learning in Challenging Contexts. In: ELECTRONICS, vol. 9. ISSN 2079-9292
Contributo su Rivista