| How to quantify social media influencers: An empirical application at the Teatro alla Scala A Deborah, A Michela, C Anna Heliyon 5 (5), 2019 | 69 | 2019 |
| Populations of unlabeled networks: Graph space geometry and geodesic principal components A Calissano, A Feragen, S Vantini MOX report, 2020 | 23 | 2020 |
| Graph-valued regression: Prediction of unlabelled networks in a non-euclidean graph space A Calissano, A Feragen, S Vantini Journal of Multivariate Analysis 190, 104950, 2022 | 11 | 2022 |
| An elephant in the room: Twitter sampling methodology A Calissano, S Vantini, M Arnaboldi MOX-Report 16, 2018, 2018 | 7 | 2018 |
| Populations of unlabelled networks: Graph space geometry and generalized geodesic principal components A Calissano, A Feragen, S Vantini Biometrika 111 (1), 147-170, 2024 | 6 | 2024 |
| Graph alignment exploiting the spatial organization improves the similarity of brain networks A Calissano, T Papadopoulo, X Pennec, S Deslauriers‐Gauthier Human Brain Mapping 45 (1), e26554, 2024 | 2 | 2024 |
| Monitoring rare categories in sentiment and opinion analysis: a Milan mega event on Twitter platform A Calissano, S Vantini, M Arena Statistical Methods & Applications 29 (4), 787-812, 2020 | 2 | 2020 |
| Going beyond the euclidean setting in the statistical analysis of human movement in urban landscape A Calissano, P Sturla, P Pucci, V Fedeli, S Vantini Journal of Digital Landscape Architecture 5, 150-157, 2020 | 2 | 2020 |
| Landscape perception through complex data: Exploring george hargreaves’s queen elizabeth olympic park in london P Riva, P Sturla, A Calissano, S Vantini Journal of Digital Landscape Architecture 4, 42-56, 2019 | 2 | 2019 |
| Temporal Brain Networks Database A Rossi, S Deslauriers-Gauthier, E Natale | 1 | 2023 |
| Interpreting Equivariant Representations AA Hansen, A Calissano, A Feragen arXiv preprint arXiv:2401.12588, 2024 | | 2024 |
| GRAPH MATCHING OF STRUCTURAL AND FUNCTIONAL BRAIN NETWORKS Y Aeschlimann, A Calissano, AA Hansen, T Papadopoulo, ... | | 2024 |
| Interpreting Equivariant Representations A Abildtrup Hansen, A Calissano, A Feragen arXiv e-prints, arXiv: 2401.12588, 2024 | | 2024 |
| Towards Quotient Barycentric Subspaces A Calissano, E Maignant, X Pennec International Conference on Geometric Science of Information, 366-374, 2023 | | 2023 |
| Permutation equivariant structure-function mapping AA Hansen, Y Aeschlimann, S Deslauriers-Gauthier, A Calissano Organization for Human Brain Mapping 2023, 2023 | | 2023 |
| Graph Matching improves the Similarity of Structural Brain Networks A Calissano, T Papadopoulo, X Pennec, S Deslauriers-Gauthier OHBM 2023-Organization for Human Brain Mapping, 2023 | | 2023 |
| Preliminary results on the graph matching of structural and functional brain networks Y Aeschlimann, A Calissano, S Deslauriers-Gauthier, T Papadopoulo, ... Neuromod Yearly Meeting 2023, 2023 | | 2023 |
| The Currents Space of Graphs J Benn, A Calissano, S Marsland, X Pennec | | 2022 |
| Graph-Valued Models for Dimensionality Reduction and Regression A Calissano, A Feragen, S Vantini JSM 2021-Joint Statistical Meeting, 2021 | | 2021 |
| Populations of graphs: statistical analysis in the graph space with applications to urban movements A Calissano Italy, 2021 | | 2021 |
