Francesco Sanna Passino

According to our database, Francesco Sanna Passino authored at least 19 papers between 2020 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Approximate learning of parsimonious Bayesian context trees.

Daniyar Ghani, Nicholas A. Heard, Francesco Sanna Passino

Stat. Comput., June, 2026

Convergence Guarantees for Response Prediction for Latent Structure Network Time Series.

Aranyak Acharyya, Francesco Sanna Passino, Michael W. Trosset, Carey E. Priebe

IEEE Trans. Netw. Sci. Eng., 2026

Simultaneous global and local clustering in multiplex networks with covariate information.

Joshua Corneck, Edward A. K. Cohen, James S. Martin, Lekha Patel, Kurtis W. Shuler, Francesco Sanna Passino

J. Complex Networks, 2026

2025

Online Bayesian changepoint detection for network Poisson processes with community structure.

Joshua Corneck, Edward A. K. Cohen, James S. Martin, Francesco Sanna Passino

Stat. Comput., June, 2025

Factor-Driven Network Informed Restricted Vector Autoregression.

Brendan Martin, Mihai Cucuringu, Alessandra Luati, Francesco Sanna Passino

Proceedings of the 6th ACM International Conference on AI in Finance, 2025

2024

Targeted synthetic data generation for tabular data via hardness characterization.

Tommaso Ferracci, Leonie Tabea Goldmann, Anton Hinel, Francesco Sanna Passino

CoRR, 2024

FinDKG: Dynamic Knowledge Graphs with Large Language Models for Detecting Global Trends in Financial Markets.

Xiaohui Victor Li, Francesco Sanna Passino

Proceedings of the 5th ACM International Conference on AI in Finance, 2024

Extended Deep Adaptive Input Normalization for Preprocessing Time Series Data for Neural Networks.

Marcus A. K. September, Francesco Sanna Passino, Leonie Tabea Goldmann, Anton Hinel

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024

2023

Mutually Exciting Point Process Graphs for Modeling Dynamic Networks.

Francesco Sanna Passino, Nicholas A. Heard

J. Comput. Graph. Stat., January, 2023

Unsupervised attack pattern detection in honeypot data using Bayesian topic modelling.

Francesco Sanna Passino, Anastasia Mantziou, Daniyar Ghani, Philip Thiede, Ross Bevington, Nicholas A. Heard

CoRR, 2023

2022

Spectral Clustering on Spherical Coordinates Under the Degree-Corrected Stochastic Blockmodel.

Francesco Sanna Passino, Nicholas A. Heard, Patrick Rubin-Delanchy

Technometrics, 2022

Latent structure blockmodels for Bayesian spectral graph clustering.

Francesco Sanna Passino, Nicholas A. Heard

Stat. Comput., 2022

2021

Latent factor representations of dynamic networks with applications in cyber-security

Francesco Sanna Passino

PhD thesis, 2021

Link prediction in dynamic networks using random dot product graphs.

Francesco Sanna Passino, Anna S. Bertiger, Joshua C. Neil, Nicholas A. Heard

Data Min. Knowl. Discov., 2021

Mutually exciting point process graphs for modelling dynamic networks.

Francesco Sanna Passino, Nicholas A. Heard

CoRR, 2021

Where To Next? A Dynamic Model of User Preferences.

Francesco Sanna Passino, Lucas Maystre, Dmitrii Moor, Ashton Anderson, Mounia Lalmas

Proceedings of the WWW '21: The Web Conference 2021, 2021

2020

Bayesian estimation of the latent dimension and communities in stochastic blockmodels.

Francesco Sanna Passino, Nicholas A. Heard

Stat. Comput., 2020

Classification of periodic arrivals in event time data for filtering computer network traffic.

Francesco Sanna Passino, Nicholas A. Heard

Stat. Comput., 2020

Graph link prediction in computer networks using Poisson matrix factorisation.

Francesco Sanna Passino, Melissa J. M. Turcotte, Nicholas A. Heard

CoRR, 2020