| Machine learning and optimization for production rescheduling in Industry 4.0 Y Li, S Carabelli, E Fadda, D Manerba, R Tadei, O Terzo The International Journal of Advanced Manufacturing Technology 110 (9), 2445 …, 2020 | 94 | 2020 |
| Waste collection in urban areas: A case study E Fadda, L Gobbato, G Perboli, M Rosano, R Tadei Interfaces 48 (4), 307-322, 2018 | 44 | 2018 |
| New valid inequalities for the two-echelon capacitated vehicle routing problem G Perboli, R Tadei, E Fadda Electronic notes in discrete mathematics 64, 75-84, 2018 | 38 | 2018 |
| Smartphone data classification technique for detecting the usage of public or private transportation modes P Castrogiovanni, E Fadda, G Perboli, A Rizzo IEEE Access 8, 58377-58391, 2020 | 31 | 2020 |
| Customized multi-period stochastic assignment problem for social engagement and opportunistic IoT E Fadda, G Perboli, R Tadei Computers & Operations Research 93, 41-50, 2018 | 28 | 2018 |
| Comparative analysis of models and performance indicators for optimal service facility location E Fadda, D Manerba, G Cabodi, PE Camurati, R Tadei Transportation Research Part E: Logistics and Transportation Review 145, 102174, 2021 | 27 | 2021 |
| An ICT-based reference model for e-grocery in smart cities R Tadei, E Fadda, L Gobbato, G Perboli, M Rosano Smart Cities: First International Conference, Smart-CT 2016, Málaga, Spain …, 2016 | 27 | 2016 |
| Reinforcement learning algorithms for online single-machine scheduling Y Li, E Fadda, D Manerba, R Tadei, O Terzo 2020 15th Conference on Computer Science and Information Systems (FedCSIS …, 2020 | 23 | 2020 |
| A progressive hedging method for the optimization of social engagement and opportunistic IoT problems E Fadda, G Perboli, R Tadei European Journal of Operational Research 277 (2), 643-652, 2019 | 22 | 2019 |
| An innovative framework for supporting big atmospheric data analytics via clustering-based spatio-temporal analysis A Cuzzocrea, MM Gaber, E Fadda, GM Grasso Journal of Ambient Intelligence and Humanized Computing 10, 3383-3398, 2019 | 20 | 2019 |
| Optimizing monitorability of multi-cloud applications E Fadda, P Plebani, M Vitali Advanced Information Systems Engineering: 28th International Conference …, 2016 | 18 | 2016 |
| A decision support system for supporting strategic production allocation in the automotive industry E Fadda, G Perboli, M Rosano, JE Mascolo, D Masera Sustainability 14 (4), 2408, 2022 | 16 | 2022 |
| A combined deep-learning and transfer-learning approach for supporting social influence prediction A Cuzzocrea, CK Leung, D Deng, JJ Mai, F Jiang, E Fadda Procedia Computer Science 177, 170-177, 2020 | 16 | 2020 |
| Monitoring-aware optimal deployment for applications based on microservices E Fadda, P Plebani, M Vitali IEEE Transactions on Services Computing 14 (6), 1849-1863, 2019 | 16 | 2019 |
| KPIs for Optimal Location of charging stations for Electric Vehicles: the Biella case-study E Fadda, D Manerba, G Cabodi, P Camurati, R Tadei 2019 Federated Conference on Computer Science and Information Systems …, 2019 | 14 | 2019 |
| A robust optimization approach to kernel-based nonparametric error-in-variables identification in the presence of bounded noise V Cerone, E Fadda, D Regruto 2017 American Control Conference (ACC), 831-838, 2017 | 14 | 2017 |
| The stochastic multipath traveling salesman problem with dependent random travel costs E Fadda, LF Tiotsop, D Manerba, R Tadei Transportation Science 54 (5), 1372-1387, 2020 | 13 | 2020 |
| Supporting privacy-preserving big data analytics on temporal open big data A Cuzzocrea, CK Leung, AM Olawoyin, E Fadda Procedia Computer Science 198, 112-121, 2022 | 12 | 2022 |
| Adaptive batteries exploiting on-line steady-state evolution strategy E Fadda, G Perboli, G Squillero Applications of Evolutionary Computation: 20th European Conference …, 2017 | 11 | 2017 |
| A machine learning optimization approach for last-mile delivery and third-party logistics ME Bruni, E Fadda, S Fedorov, G Perboli Computers & Operations Research 157, 106262, 2023 | 10 | 2023 |
