Published Papers
Hansen, A. A., Calissano, A., & Feragen, A. Interpreting Equivariant Representations. In Forty-first International Conference on Machine Learning.
Calissano, A., Feragen, A., & Vantini, S. (2024). Populations of unlabelled networks: Graph space geometry and generalized geodesic principal components. Biometrika, 111(1), 147-170.
Calissano, A., Papadopoulo, T., Pennec, X., & Deslauriers‐Gauthier, S. (2024). Graph alignment exploiting the spatial organization improves the similarity of brain networks. Human Brain Mapping, 45(1), e26554.
Calissano, A., Maignant, E., & Pennec, X. (2023, August). Towards Quotient Barycentric Subspaces. In International Conference on Geometric Science of Information (pp. 366-374). Cham: Springer Nature Switzerland.
Calissano, A., Feragen, A., & Vantini, S. (2022). Graph-valued regression: Prediction of unlabelled networks in a non-euclidean graph space. Journal of Multivariate Analysis, 190, 104950.
Calissano, A., Sturla, P., Pucci, P., Fedeli, V., & Vantini, S. (2020). Going beyond the euclidean setting in the statistical analysis of human movement in urban landscape. Journal of Digital Landscape Architecture, 5, 150-157.
Calissano, A., Vantini, S., & Arena, M. (2020). Monitoring rare categories in sentiment and opinion analysis: a Milan mega event on Twitter platform. Statistical Methods & Applications, 29(4), 787-812.
Riva, P., Calissano, A., Sturla, P., & Vantini, S. (2019) “Landscape perception through complex data: Exploring george hargreaves’s queen elizabeth olympic park in london.” Journal of Digital Landscape Architecture 4: 42-56.
Hoseyni, S. M., & Calissano, A. (2019). Moving from One Site to Multi-Site Vulnerability Studies: Decision Analysis for Trade-off Between Risks and Benefits. International Journal of Reliability, Risk and Safety: Theory and Application, 2(1), 15-21.
Agostino, D., Arnaboldi, M., & Calissano, A. (2019). How to quantify social media influencers: An empirical application at the Teatro alla Scala. Heliyon, 5(5).
Under Review
Calissano, A., Pereira, L. F., Lueg, J., & Miolane, N. (2024). On the Implementation of Geodesic Metric Spaces. Hal Archives
Calissano, A., Fontana, M., Zeni, G., & Vantini, S. (2024). Conformal Prediction Sets for Populations of Graphs. arXiv preprint arXiv:2404.18862.
Aeschlimann, Y., Calissano, A., Hansen, A. A., Papadopoulo, T., & Deslauriers-Gauthier, S. (2024). Graph Matching of Structural and Functional Brain Network. Hal Archives
Calissano, A., Arnaboldi, M., & Vantini, S. (2021) Offer-Demand Bipartite Network Modelling: GPS Remote Mapping of Paratransit Mobility in Maputo. MOX Report
Technical Reports
Benn, J., Calissano, A., Marsland, S., Pennec, X. (2023) The Currents Space of Graphs. HAL Archive
Calissano, A., Vantini, S., Arnaboldi, M. (2018) Twitter Sampling Methodology: An Elephant in the Room. Mox Report
Book Chapters
Arena, M., Brenna, M., Calissano, A., Menagoglio, A., & Vantini, S. “Il dimensionamento della rete nazionale delle infrastrutture di ricarica dei veicoli elettrici” Chapter V in “Infrastrutture e città: innovazione, coesione sociale e digitalizzazione” Editors: Azzone, Secchi, Barucci. Brioschi Editore.

