
Dottorato in Ingegneria Informatica E Dei Sistemi , 35o ciclo (2019-2022)
Dottorato concluso nel 2023
Tesi:
Urban Logistics and Last Mile applications: Models and methods to deal with demand uncertainty (Abstract)
Tutori:
Guido PerboliPubblicazioni
Pubblicazioni durante il dottorato Vedi tutte le pubblicazioni su Porto@Iris
- Bruni, MARIA ELENA; Fadda, Edoardo; Fedorov, Stanislav; Perboli, Guido (2023)
A machine learning optimization approach for last-mile delivery and third-party logistics. In: COMPUTERS & OPERATIONS RESEARCH, vol. 157, pp. 1-14. ISSN 0305-0548
Contributo su Rivista - Fedorov, Stanislav (2023)
Urban Logistics and Last Mile applications: Models and methods to deal with demand uncertainty. relatore: PERBOLI, GUIDO; , 35. XXXV Ciclo, P.: 100
Doctoral Thesis - Fedorov, Stanislav; Fadda, Edoardo; Perboli, Guido (2022)
Machine Learning for Variable Cost and Size Bin Packing Problem. In: 6th AIROYoung Workshop, Roma, 23rd to 25th February 2022
Contributo in Atti di Convegno (Proceeding) - Fedorov, Stanislav; Fadda, Edoardo; Perboli, Guido (2022)
Machine Learning heuristic for Variable Cost and Size Bin Packing Problem with Stochastic Items. In: The International Conference on Optimization and Decision Science 2022, Florence, Italy, August 30th - September 2nd 2022, pp. 287-287
Contributo in Atti di Convegno (Proceeding) - Fadda, Edoardo; Fedorov, Stanislav; Perboli, Guido; Cardenas Barbosa, Ivan Dario (2021)
Mixing machine learning and optimization for the tactical capacity planning in last-mile delivery. In: 2021 IEEE 45th Annual Computers, Software, and Applications Conference (COMPSAC), Virtual, July, 12-16, 2021, pp. 1-6
Contributo in Atti di Convegno (Proceeding) - Perboli, Guido; Gajetti, Marco; Fedorov, Stanislav; Giudice, Simona Lo (2021)
Natural Language Processing for the identification of Human factors in aviation accidents causes: An application to the SHEL methodology. In: EXPERT SYSTEMS WITH APPLICATIONS, vol. 186. ISSN 0957-4174
Contributo su Rivista - Perboli, Guido; Fedorov, Stanislav; Rosano, Mariangela (2020)
The European Concept of Smart City: A Taxonomic Analysis. In: 2020 IEEE 44th Annual Computers, Software, and Applications Conference (COMPSAC), Madrid (Spain), 13–17 July 2020, pp. 1725-1730. ISBN: 978-1-7281-7303-0
Contributo in Atti di Convegno (Proceeding) - Perboli, Guido; Gajetti, Marco; Fedorov, Stanislav; LO GIUDICE, Simona (2020)
Natural Language Processing for the Identification of Human Factors in Aviation Accidents Causes: An Application to the SHEL Methodology. , Montreal, CIRRELT pp. 1-16
Altro - Candelieri, Antonio; Fedorov, Stanislav; Messina, Enza (2019)
Efficient Kernel-Based Subsequence Search for Enabling Health Monitoring Services in IoT-Based Home Setting. In: SENSORS, vol. 19. ISSN 1424-8220
Contributo su Rivista