Laura Azzimonti

17 papers A* 1Journal 11Unranked 5
YearRankTypeTitle / Venue / Authors
2025 — conf
Counterfactual Inference Using Ordinary Differential Equations to Assess the Effect of Physical Activity on Type 2 Diabetes Onset.
AIME (1)
Marta Lenatti, Marco Zaffalon, Alessandro Antonucci, Pierluigi Francesco De Paola, Lea Multerer, Maurizio Mongelli, Alessia Paglialonga, Laura Azzimonti
2025 — conf
Physics-Informed Neural Networks for Hidden Insulin Dynamics Estimation from Glucose Data.
AIME (2)
Lea Multerer, Manuel Acquistapace, Marco Forgione, Laura Azzimonti
2024 — conf
A Computationally Efficient Deep Learning-Based Surrogate Model of Prediabetes Progression.
BIBM
Lea Multerer, Stefano Toniolo, Sandra Mitrovic, Maria Concetta Palumbo, Alessandro Ravoni, Paolo Tieri, Marco Forgione, Laura Azzimonti
2024 J jnl
Flotta: a Secure and Flexible Spark-inspired Federated Learning Framework.
CoRR
Claudio Bonesana, Daniele Malpetti, Sandra Mitrovic, Francesca Mangili, Laura Azzimonti
2024 J jnl
Global Outlier Detection in a Federated Learning Setting with Isolation Forest.
CoRR
Daniele Malpetti, Laura Azzimonti
2022 J jnl
A Bayesian hierarchical score for structure learning from related data sets.
Int. J. Approx. Reason.
Laura Azzimonti, Giorgio Corani, Marco Scutari
2022 J jnl
Using Mixed-Effect Models to Learn Bayesian Networks from Related Data Sets.
CoRR
Marco Scutari, Christopher Marquis, Laura Azzimonti
2022 — conf
Using Mixed-Effects Models to Learn Bayesian Networks from Related Data Sets.
PGM
Marco Scutari, Christopher Marquis, Laura Azzimonti
2020 J jnl
Correction to: Efficient feature selection using shrinkage estimators.
Mach. Learn.
Konstantinos Sechidis, Laura Azzimonti, Adam Craig Pocock, Giorgio Corani, James Weatherall, Gavin Brown
2020 — conf
Structure Learning from Related Data Sets with a Hierarchical Bayesian Score.
PGM
Laura Azzimonti, Giorgio Corani, Marco Scutari
2020 J jnl
Structure Learning from Related Data Sets with a Hierarchical Bayesian Score.
CoRR
Laura Azzimonti, Giorgio Corani, Marco Scutari
2019 J jnl
Efficient feature selection using shrinkage estimators.
Mach. Learn.
Konstantinos Sechidis, Laura Azzimonti, Adam Craig Pocock, Giorgio Corani, James Weatherall, Gavin Brown
2019 J jnl
Hierarchical estimation of parameters in Bayesian networks.
Comput. Stat. Data Anal.
Laura Azzimonti, Giorgio Corani, Marco Zaffalon
2019 J jnl
Modeling spatially dependent functional data via regression with differential regularization.
J. Multivar. Anal.
Eleonora Arnone, Laura Azzimonti, Fabio Nobile, Laura M. Sangalli
2017 A* conf
Hierarchical Multinomial-Dirichlet Model for the Estimation of Conditional Probability Tables.
ICDM
Laura Azzimonti, Giorgio Corani, Marco Zaffalon
2014 J jnl
Mixed Finite Elements for Spatial Regression with PDE Penalization.
SIAM/ASA J. Uncertain. Quantification
Laura Azzimonti, Fabio Nobile, Laura M. Sangalli, Piercesare Secchi
2013 J jnl
Nonlinear nonparametric mixed-effects models for unsupervised classification.
Comput. Stat.
Laura Azzimonti, Francesca Ieva, Anna Maria Paganoni