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

Conference Proceedings and 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 Lecture Notes 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

• S. Fiorini, S. Coniglio, M. Ciavotta, E. Messina (to appear). Graph Learning in 4D: A Quaternion-Valued Laplacian to Enhance Spectral GCNs. Proceedings of the 38th AAAI Conference on Artificial Intelligence, AAAI 2024. DOI: https://doi.org/10.48550/arXiv.2312.17361