| Where To Next? A Dynamic Model of User Preferences F Sanna Passino, L Maystre, D Moor, A Anderson, M Lalmas Proceedings of the Web Conference 2021, 3210-3220, 2021 | 27 | 2021 |
| Bayesian estimation of the latent dimension and communities in stochastic blockmodels F Sanna Passino, NA Heard Statistics and Computing 30 (5), 1291-1307, 2020 | 22 | 2020 |
| Link prediction in dynamic networks using random dot product graphs F Sanna Passino, AS Bertiger, JC Neil, NA Heard Data Mining and Knowledge Discovery 35 (5), 2168-2199, 2021 | 17 | 2021 |
| Mutually exciting point process graphs for modelling dynamic networks F Sanna Passino, NA Heard Journal of Computational and Graphical Statistics 32 (1), 116–130, 2023 | 15 | 2023 |
| Detecting anomalous network activity AS Bertiger, F Sanna Passino, J Neil US Patent App. 16/888,762, 2021 | 15 | 2021 |
| Spectral clustering on spherical coordinates under the degree-corrected stochastic blockmodel F Sanna Passino, NA Heard, P Rubin-Delanchy Technometrics 64 (3), 346-357, 2022 | 14 | 2022 |
| Graph link prediction in computer networks using Poisson matrix factorisation F Sanna Passino, MJM Turcotte, NA Heard Annals of Applied Statistics 16 (3), 1313-1332, 2022 | 13 | 2022 |
| Classification of periodic arrivals in event time data for filtering computer network traffic F Sanna Passino, NA Heard Statistics and Computing 30 (5), 1241-1254, 2020 | 11 | 2020 |
| Modelling dynamic network evolution as a Pitman-Yor process F Sanna Passino, NA Heard Foundations of Data Science 1 (3), 293-306, 2019 | 6 | 2019 |
| Extended Deep Adaptive Input Normalization for Preprocessing Time Series Data for Neural Networks MAK September, F Sanna Passino, L Goldmann, A Hinel arXiv preprint arXiv:2310.14720, 2023 | 4 | 2023 |
| Nested Dirichlet models for unsupervised attack pattern detection in honeypot data F Sanna Passino, A Mantziou, D Ghani, P Thiede, R Bevington, NA Heard Annals of Applied Statistics, 2024 | 3* | 2024 |
| Graph-based mutually exciting point processes for modelling event times in docked bike-sharing systems F Sanna Passino, Y Che, C Cardoso Correia Perello Stat 13 (1), e660, 2024 | 3 | 2024 |
| Latent structure blockmodels for Bayesian spectral graph clustering F Sanna Passino, NA Heard Statistics and Computing 32 (22), 2022 | 3 | 2022 |
| FinDKG: Dynamic Knowledge Graphs with Large Language Models for Detecting Global Trends in Financial Markets XV Li, F Sanna Passino arXiv preprint arXiv:2407.10909, 2024 | 2 | 2024 |
| Latent factor representations of dynamic networks with applications in cyber-security F Sanna Passino Imperial College London, 2020 | 2 | 2020 |
| NIRVAR: Network Informed Restricted Vector Autoregression B Martin, F Sanna Passino, M Cucuringu, A Luati arXiv preprint arXiv:2407.13314, 2024 | 1 | 2024 |
| Statistical Cybersecurity: A Brief Discussion of Challenges, Data Structures, and Future Directions F Sanna Passino, NM Adams, EAK Cohen, M Evangelou, NA Heard Harvard Data Science Review 5 (1), 2023 | 1* | 2023 |
| User Behaviour Analytics M Turcotte, F Sanna Passino, JS Moore, N Heard Los Alamos National Lab.(LANL), Los Alamos, NM (United States), 2019 | 1 | 2019 |
| Doubly unfolded adjacency spectral embedding of dynamic multiplex graphs M Baum, F Sanna Passino, A Gandy arXiv preprint arXiv:2410.09810, 2024 | | 2024 |
| Targeted synthetic data generation for tabular data via hardness characterization T Ferracci, LT Goldmann, A Hinel, F Sanna Passino arXiv preprint arXiv:2410.00759, 2024 | | 2024 |
N A HeardImperial CollegeVerified email at imperial.ac.uk
