Publications
Journal papers:
D. Faccini, F. Maggioni, F. A. Potra (2022). Robust and distributionally robust optimization models for Linear Support Vector Machine. Computers and Operations Research 147, 105930. DOI: https://doi.org/10.1016/j.cor.2022.105930
X. Chou, E. Messina (2023). Problem-Driven Scenario Generation for Stochastic Programming Problems: A Survey. Algorithms 16 (10), 479. DOI: https://doi.org/10.3390/a16100479
G. Bayraksan, F. Maggioni, D. Faccini, M. Yang (2024). Bounds for Multistage Mixed Integer Distributionally Robust Optimization. Siam Journal on Optimization 34 (1). DOI: https://doi.org/10.1137/22M147178X
E. Fadda, D. Manerba, R. Tadei (2024). How to locate services optimizing redundancy: A comparative analysis of K-Covering Facility Location models. Socio-Economic Planning Sciences 94, 101938. DOI: https://doi.org/10.1016/j.seps.2024.101938
A. De Maio, J. W. Ohlmann, S. Stoia, F. Vocaturo (2024). Analysis of in-store crowdshipping in a stochastic dynamic pickup-and-delivery system. Central European Journal of Operations Research (to appear). DOI: https://doi.org/10.1007/s10100-024-00939-8
L. Bertazzi, G. O. Chagas, L. C. Coelho, D. Laganà, F. Vocaturo (2025). Online algorithms for the multi-vehicle inventory-routing problem with real-time demands. Transportation Research Part C: Emerging Technologies 170, 104892. DOI: https://doi.org/10.1016/j.trc.2024.104892
R. Cavagnini, F. Maggioni, L. Bertazzi, M. Hewitt (2024). A two-stage stochastic optimization model for the bike-sharing allocation and rebalancing problem. EURO Journal on Transportation and Logistics 13, 100140. DOI: https://doi.org/10.1016/j.ejtl.2024.100140.
M. Carbonera, M. Ciavotta, E. Messina (2024). Variational Autoencoders and Generative Adversarial Networks for Multivariate Scenario Generation. Data Science for Transportation 6 (3), art. no. 23. DOI: https://doi.org/10.1007/s42421-024-00097-y
V. Bonomi, D. Manerba, R. Mansini, R. Zanotti (2025). Optimizing Attended Home Delivery: Multiple recovery options and customer availability profiles to face synchronization failures. International Journal of Production Economics 279, 109463. DOI: https://doi.org/10.1016/j.ijpe.2024.109463
A. Spinelli, F. Maggioni, T. Rodrigues Pereira Ramos, A.P. Barbosa-Póvoa, D. Vigo (2025). A rolling horizon heuristic approach for a multi-stage stochastic waste collection problem. European Journal of Operational Research (forthcoming). DOI: https://doi.org/10.1016/j.ejor.2024.11.041
F. Maggioni, F. Dabbene, G. Pflug (2025). Multistage robust convex optimization problems: A sampling based approach. Annals of Operations Research (forthcoming). DOI: https://doi.org/10.1007/s10479-025-06545-4
F. Maggioni, A. Spinelli (2025). A Novel Robust Optimization Model for Nonlinear Support Vector Machine. European Journal of Operational Research 322(1), pp. 237-253. DOI: https://doi.org/10.1016/j.ejor.2024.12.014
Conference proceedings/Book chapters:
M. Bierlaire, E. Fadda, L. Fotio Tiotsop, D. Manerba (2022). A chance-constraint approach for optimizing social engagement-based services. Proceedings of the 17th Conference on Computer Science and Intelligence Systems (FedCSIS), pp. 301-304. Sofia, Bulgaria. DOI: https://doi.org/10.15439/2022F235
E. Fersini, S. Mottadelli, M. Carbonera, E. Messina (2022). Deep Attributed Graph Embeddings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and in Bioinformatics), 13408 LNAI, pp. 181-192. DOI: https://doi.org/10.1007/978-3-031-13448-7_15
M. Carbonera, M. Ciavotta, E. Messina (2023). Driving into Uncertainty: An Adversarial Generative Approach for Multivariate Scenario Generation. Proceedings of the IEEE International Conference on Big Data (BigData), pp. 2578-2587. DOI: http://dx.doi.org/10.1109/BigData59044.2023.10386128
S. Fiorini, S. Coniglio, M. Ciavotta, E. Messina (2023). SigMaNet: One Laplacian to Rule Them All. Proceedings of the 37th AAAI Conference on Artificial Intelligence, AAAI 2023, 37. pp. 7568–7576. DOI: https://doi.org/10.48550/arXiv.2205.13459
R. De Leone, F. Maggioni, A. Spinelli (2024). A Multiclass Robust Twin Parametric Margin Support Vector Machine with an Application to Vehicles Emissions. In: Nicosia, G., Ojha, V., La Malfa, E., La Malfa, G., Pardalos, P.M., Umeton, R. (eds) Machine Learning, Optimization, and Data Science. LOD 2023. Lecture Notes in Computer Science, vol 14506. Springer, Cham. DOI: https://doi.org/10.1007/978-3-031-53966-4_22
F. Maggioni, A. Spinelli (2024). Vehicles Smog Rating Classification using a New Robust Support Vector Machine Approach. In: Optimization in Green Sustainability and Ecological Transition, AIRO Springer Series, ch. 19. DOI: https://doi.org/10.1007/978-3-031-47686-0_19
D. Bezzi, O. Jabali, F. Maggioni (2024). A Threshold Recourse Policy for the Electric Vehicle Routing Problem with Stochastic Energy Consumption. In: Optimization in Green Sustainability and Ecological Transition, AIRO Springer Series, ch. 20. DOI: https://doi.org/10.1007/978-3-031-47686-0_20
A. Candelieri, X. Chou, F.A. Archetti, E. Messina (2024). Generating Informative Scenarios via Active Learning. AIRO Springer Series, 12, pp. 299-310. DOI: https://doi.org/10.1007/978-3-031-47686-0_27
S. Fiorini, S. Coniglio, M. Ciavotta, E. Messina (2024). Graph Learning in 4D: A Quaternion-Valued Laplacian to Enhance Spectral GCNs. Proceedings of the 38th AAAI Conference on Artificial Intelligence 38(11), 12006-12015. DOI: https://doi.org/10.1609/aaai.v38i11.29088
F. Maggioni, S.W. Wallace (2025). Stochastic optimization models for bike sharing systems. Encyclopedia in Operations Management, 978-0-443-28993-4 B978-0-443-28993-4.00164-5.
Articles submitted/under review for publication:
R. De Leone, F. Maggioni, A. Spinelli. A Robust Twin Parametric Margin Support Vector Machine for Multiclass Classification (international journal).
C. Filippi, F. Maggioni, M.G. Speranza. The robust shortest path: a review and open problems (international journal).
G. Consigli, D. Dentcheva, F. Maggioni, G. Micheli. Asset liability management under sequential dominance constraints (international journal).
G. Micheli, L. Escudero, F. Maggioni, G. Bayraksan. Multi-horizon optimization for domestic renewable energy system design under uncertainty (international journal).
A. Spinelli, D. Bezzi, O. Jabali, F. Maggioni. A Stochastic electric vehicle routing problem under uncertain energy consumption (international journal).
R. Cavagnini, D. Faccini, F. Maggioni. Optimization Driven Monotonic Bounds for Stochastic Programs (international journal).
P. Beatrici, S. Birolini, F. Maggioni, P. Malighetti. A two-stage stochastic programming approach for a mixed fleet sizing and vehicle routing problem with stochastic demand (international journal).
M. Piazza, A. Spinelli, F. Maggioni, M. Bedoni, E. Messina. A Robust Support Vector Machine Approach for Raman data classification (international journal).
M. Bierlaire, E. Fadda, L. Fotio Tiotsop, D. Manerba. A Deterministic equivalent form of Stochastic Programs embedding Discrete Choice Problems under Multivariate Extreme Value model (international journal).
A. Gobbi, D. Manerba, F. Vocaturo. Incorporating stochastic optional pickup demand in routing operations with divisible services for hub-and-spoke e-commerce returns management systems (international journal).
E. Rossi, D. Manerba, R. Zanotti. Last-Mile Parcel Delivery Optimization: a multi-stakeholder multi-objective analysis including fairness measures (international journal).
A. Gobbi, D. Manerba, F. Vocaturo. A Progressive Hedging approach for the Vehicle Routing Problem with Divisible Deliveries & Pickups and stochastic optional pickup demand (international journal).
D. Manerba, R. Mansini, S.U. Ngueveu, R. Zanotti. A Piecewise Linear Bounding Approach for the Continuous Pollution Routing Problem (international journal).
D. Manerba, R. Mansini, R. Zanotti. Heuristic solution of large-scale Attended Home Delivery problems with Customer Availability Profiles and multiple recovery options (international journal).
D. Manerba, R. Mansini, R. Zanotti. The price of customers' free timeslot choice in Attended Home Delivery (conference proceedings).
M. Piazza, A. Spinelli, F. Maggioni, M. Bedoni, E. Messina. A Robust Support Vector Machine Approach for Raman data classification (international journal).
M.H.A. Sarhamami, I. Seyedi, E. Messina. Designing a Sustainable Closed-Loop Supply Chain Network for Canola: Integrating Waste Management and Cost Optimization (international journal).
E. Messina, I. Seyedy. Hybrid Optimization Framework for Closed-Loop Supply Chains: Embedding Neural Networks in Two-Stage Stochastic Programming (international journal).