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Francesco Sanna Passino
Francesco Sanna Passino
Lecturer in Statistics, Imperial College London
imperial.ac.uk의 이메일 확인됨 - 홈페이지
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Bayesian estimation of the latent dimension and communities in stochastic blockmodels
F Sanna Passino, NA Heard
Statistics and Computing 30 (5), 1291-1307, 2020
222020
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
162021
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
122022
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
122022
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
12*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
112023
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
102020
Modelling dynamic network evolution as a Pitman-Yor process
F Sanna Passino, NA Heard
Foundations of Data Science 1 (3), 293-306, 2019
82019
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
2*2023
Unsupervised attack pattern detection in honeypot data using Bayesian topic modelling
F Sanna Passino, A Mantziou, D Ghani, P Thiede, R Bevington, NA Heard
arXiv preprint arXiv:2301.02505, 2023
22023
Latent structure blockmodels for Bayesian spectral graph clustering
F Sanna Passino, NA Heard
Statistics and Computing 32 (22), 2022
12022
User Behaviour Analytics
M Turcotte, F Sanna Passino, JS Moore, N Heard
Los Alamos National Lab.(LANL), Los Alamos, NM (United States), 2019
12019
Graph-based mutually exciting point processes for modelling event times in docked bike-sharing systems
F Sanna Passino, Y Che, C Cardoso Correia Perello
arXiv preprint arXiv:2311.00595, 2023
2023
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
2023
Detecting anomalous network activity
AS Bertiger, F Sanna Passino, J Neil
US Patent App. 16/888,762, 2021
2021
Latent factor representations of dynamic networks with applications in cyber-security
F Sanna Passino
Imperial College London, 2020
2020
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