Francesco Sanna Passino

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 16

Top Topics

Dynamic Networks

Top Venues

J. Comput. Graph. Stat.

Publications

Marcus A. K. September, Francesco Sanna Passino, Leonie Goldmann, Anton Hinel
Extended Deep Adaptive Input Normalization for Preprocessing Time Series Data for Neural Networks. AISTATS (2024)
Marcus A. K. September, Francesco Sanna Passino, Leonie Goldmann, Anton Hinel
Extended Deep Adaptive Input Normalization for Preprocessing Time Series Data for Neural Networks. CoRR (2023)
Francesco Sanna Passino, Anastasia Mantziou, Daniyar Ghani, Philip Thiede, Ross Bevington, Nicholas A. Heard
Unsupervised attack pattern detection in honeypot data using Bayesian topic modelling. CoRR (2023)
Francesco Sanna Passino, Nicholas A. Heard
Mutually Exciting Point Process Graphs for Modeling Dynamic Networks. J. Comput. Graph. Stat. 32 (1) (2023)
Francesco Sanna Passino, Nicholas A. Heard
Latent structure blockmodels for Bayesian spectral graph clustering. Stat. Comput. 32 (2) (2022)
Francesco Sanna Passino, Nicholas A. Heard, Patrick Rubin-Delanchy
Spectral Clustering on Spherical Coordinates Under the Degree-Corrected Stochastic Blockmodel. Technometrics 64 (3) (2022)
Francesco Sanna Passino, Lucas Maystre, Dmitrii Moor, Ashton Anderson, Mounia Lalmas
Where To Next? A Dynamic Model of User Preferences. WWW (2021)
Francesco Sanna Passino, Nicholas A. Heard
Latent structure blockmodels for Bayesian spectral graph clustering. CoRR (2021)
Francesco Sanna Passino, Nicholas A. Heard
Mutually exciting point process graphs for modelling dynamic networks. CoRR (2021)
Francesco Sanna Passino, Anna S. Bertiger, Joshua C. Neil, Nicholas A. Heard
Link prediction in dynamic networks using random dot product graphs. Data Min. Knowl. Discov. 35 (5) (2021)
Francesco Sanna Passino, Nicholas A. Heard
Bayesian estimation of the latent dimension and communities in stochastic blockmodels. Stat. Comput. 30 (5) (2020)
Francesco Sanna Passino, Nicholas A. Heard
Classification of periodic arrivals in event time data for filtering computer network traffic. Stat. Comput. 30 (5) (2020)
Francesco Sanna Passino, Nicholas A. Heard, Patrick Rubin-Delanchy
Spectral clustering on spherical coordinates under the degree-corrected stochastic blockmodel. CoRR (2020)
Francesco Sanna Passino, Melissa J. M. Turcotte, Nicholas A. Heard
Graph link prediction in computer networks using Poisson matrix factorisation. CoRR (2020)
Francesco Sanna Passino, Nicholas A. Heard
Bayesian estimation of the latent dimension and communities in stochastic blockmodels. CoRR (2019)
Francesco Sanna Passino, Anna S. Bertiger, Joshua C. Neil, Nicholas A. Heard
Link prediction in dynamic networks using random dot product graphs. CoRR (2019)