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Francesco Sanna Passino
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2020 – today
- 2024
- [c3]Marcus A. K. September, Francesco Sanna Passino, Leonie Tabea Goldmann, Anton Hinel:
Extended Deep Adaptive Input Normalization for Preprocessing Time Series Data for Neural Networks. AISTATS 2024: 1891-1899 - [c2]Xiaohui Victor Li
, Francesco Sanna Passino
FinDKG: Dynamic Knowledge Graphs with Large Language Models for Detecting Global Trends in Financial Markets. ICAIF 2024: 573-581 - [i9]Tommaso Ferracci, Leonie Tabea Goldmann, Anton Hinel, Francesco Sanna Passino:
Targeted synthetic data generation for tabular data via hardness characterization. CoRR abs/2410.00759 (2024) - 2023
- [j6]Francesco Sanna Passino, Nicholas A. Heard
Mutually Exciting Point Process Graphs for Modeling Dynamic Networks. J. Comput. Graph. Stat. 32(1): 116-130 (2023) - [i8]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 abs/2301.02505 (2023) - [i7]Marcus A. K. September, Francesco Sanna Passino, Leonie Tabea Goldmann, Anton Hinel:
Extended Deep Adaptive Input Normalization for Preprocessing Time Series Data for Neural Networks. CoRR abs/2310.14720 (2023) - 2022
- [j5]Francesco Sanna Passino
Latent structure blockmodels for Bayesian spectral graph clustering. Stat. Comput. 32(2): 22 (2022) - [j4]Francesco Sanna Passino, Nicholas A. Heard, Patrick Rubin-Delanchy:
Spectral Clustering on Spherical Coordinates Under the Degree-Corrected Stochastic Blockmodel. Technometrics 64(3): 346-357 (2022) - 2021
- [b1]Francesco Sanna Passino:
Latent factor representations of dynamic networks with applications in cyber-security. Imperial College London, UK, 2021 - [j3]Francesco Sanna Passino
Link prediction in dynamic networks using random dot product graphs. Data Min. Knowl. Discov. 35(5): 2168-2199 (2021) - [c1]Francesco Sanna Passino, Lucas Maystre, Dmitrii Moor, Ashton Anderson, Mounia Lalmas:
Where To Next? A Dynamic Model of User Preferences. WWW 2021: 3210-3220 - [i6]Francesco Sanna Passino, Nicholas A. Heard:
Mutually exciting point process graphs for modelling dynamic networks. CoRR abs/2102.06527 (2021) - [i5]Francesco Sanna Passino, Nicholas A. Heard:
Latent structure blockmodels for Bayesian spectral graph clustering. CoRR abs/2107.01734 (2021) - 2020
- [j2]Francesco Sanna Passino
Classification of periodic arrivals in event time data for filtering computer network traffic. Stat. Comput. 30(5): 1241-1254 (2020) - [j1]Francesco Sanna Passino
Bayesian estimation of the latent dimension and communities in stochastic blockmodels. Stat. Comput. 30(5): 1291-1307 (2020) - [i4]Francesco Sanna Passino, Melissa J. M. Turcotte, Nicholas A. Heard:
Graph link prediction in computer networks using Poisson matrix factorisation. CoRR abs/2001.09456 (2020) - [i3]Francesco Sanna Passino, Nicholas A. Heard, Patrick Rubin-Delanchy:
Spectral clustering on spherical coordinates under the degree-corrected stochastic blockmodel. CoRR abs/2011.04558 (2020)
2010 – 2019
- 2019
- [i2]Francesco Sanna Passino, Nicholas A. Heard:
Bayesian estimation of the latent dimension and communities in stochastic blockmodels. CoRR abs/1904.05333 (2019) - [i1]Francesco Sanna Passino, Anna S. Bertiger, Joshua C. Neil, Nicholas A. Heard:
Link prediction in dynamic networks using random dot product graphs. CoRR abs/1912.10419 (2019)
Coauthor Index
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last updated on 2024-12-02 21:31 CET by the dblp team
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