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Laura Azzimonti
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2020 – today
- 2024
- [i4]Daniele Malpetti, Laura Azzimonti:
Global Outlier Detection in a Federated Learning Setting with Isolation Forest. CoRR abs/2409.13466 (2024) - [i3]Claudio Bonesana, Daniele Malpetti, Sandra Mitrovic, Francesca Mangili, Laura Azzimonti:
Flotta: a Secure and Flexible Spark-inspired Federated Learning Framework. CoRR abs/2409.13473 (2024) - 2022
- [j7]Laura Azzimonti, Giorgio Corani, Marco Scutari:
A Bayesian hierarchical score for structure learning from related data sets. Int. J. Approx. Reason. 142: 248-265 (2022) - [c3]Marco Scutari, Christopher Marquis, Laura Azzimonti:
Using Mixed-Effects Models to Learn Bayesian Networks from Related Data Sets. PGM 2022: 73-84 - [i2]Marco Scutari, Christopher Marquis, Laura Azzimonti:
Using Mixed-Effect Models to Learn Bayesian Networks from Related Data Sets. CoRR abs/2206.03743 (2022) - 2020
- [j6]Konstantinos Sechidis, Laura Azzimonti, Adam Craig Pocock, Giorgio Corani, James Weatherall, Gavin Brown:
Correction to: Efficient feature selection using shrinkage estimators. Mach. Learn. 109(8): 1565-1567 (2020) - [c2]Laura Azzimonti, Giorgio Corani, Marco Scutari:
Structure Learning from Related Data Sets with a Hierarchical Bayesian Score. PGM 2020: 5-16 - [i1]Laura Azzimonti, Giorgio Corani, Marco Scutari:
Structure Learning from Related Data Sets with a Hierarchical Bayesian Score. CoRR abs/2008.01683 (2020)
2010 – 2019
- 2019
- [j5]Laura Azzimonti, Giorgio Corani, Marco Zaffalon:
Hierarchical estimation of parameters in Bayesian networks. Comput. Stat. Data Anal. 137: 67-91 (2019) - [j4]Eleonora Arnone, Laura Azzimonti, Fabio Nobile, Laura M. Sangalli:
Modeling spatially dependent functional data via regression with differential regularization. J. Multivar. Anal. 170: 275-295 (2019) - [j3]Konstantinos Sechidis, Laura Azzimonti, Adam Craig Pocock, Giorgio Corani, James Weatherall, Gavin Brown:
Efficient feature selection using shrinkage estimators. Mach. Learn. 108(8-9): 1261-1286 (2019) - 2017
- [c1]Laura Azzimonti, Giorgio Corani, Marco Zaffalon:
Hierarchical Multinomial-Dirichlet Model for the Estimation of Conditional Probability Tables. ICDM 2017: 739-744 - 2014
- [j2]Laura Azzimonti, Fabio Nobile, Laura M. Sangalli, Piercesare Secchi:
Mixed Finite Elements for Spatial Regression with PDE Penalization. SIAM/ASA J. Uncertain. Quantification 2(1): 305-335 (2014) - 2013
- [j1]Laura Azzimonti, Francesca Ieva, Anna Maria Paganoni:
Nonlinear nonparametric mixed-effects models for unsupervised classification. Comput. Stat. 28(4): 1549-1570 (2013)
Coauthor Index
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