Articles with public access mandates - Laura AzzimontiLearn more
Available somewhere: 14
Profiling the location and extent of musicians’ pain using digital pain drawings
C Cruder, D Falla, F Mangili, L Azzimonti, LS Araújo, A Williamon, ...
Pain Practice 18 (1), 53-66, 2018
Mandates: UK Arts & Humanities Research Council
Blood flow velocity field estimation via spatial regression with PDE penalization
L Azzimonti, LM Sangalli, P Secchi, M Domanin, F Nobile
Journal of the American Statistical Association 110 (511), 1057-1071, 2015
Mandates: Government of Italy
Mixed finite elements for spatial regression with PDE penalization
L Azzimonti, F Nobile, LM Sangalli, P Secchi
SIAM/ASA Journal on Uncertainty Quantification 2 (1), 305-335, 2014
Mandates: Government of Italy
Efficient feature selection using shrinkage estimators
K Sechidis, L Azzimonti, A Pocock, G Corani, J Weatherall, G Brown
Machine Learning 108, 1261-1286, 2019
Mandates: Swiss National Science Foundation, UK Engineering and Physical Sciences …
Nonlinear nonparametric mixed-effects models for unsupervised classification
L Azzimonti, F Ieva, A Maria Paganoni
Computational Statistics 28, 1549-1570, 2013
Mandates: Government of Italy
Hierarchical estimation of parameters in Bayesian networks
L Azzimonti, G Corani, M Zaffalon
Computational Statistics & Data Analysis 137, 67-91, 2019
Mandates: Swiss National Science Foundation
TCR-engineered iNKT cells induce robust antitumor response by dual targeting cancer and suppressive myeloid cells
G Delfanti, F Cortesi, A Perini, G Antonini, L Azzimonti, C de Lalla, ...
Science Immunology 7 (74), eabn6563, 2022
Mandates: Worldwide Cancer Research, UK, Fondazione Cariplo, AIRC Foundation for …
The influence of baseline clinical status and surgical strategy on early good to excellent result in spinal lumbar arthrodesis: a machine learning approach
P Berjano, F Langella, L Ventriglia, D Compagnone, P Barletta, D Huber, ...
Journal of personalized medicine 11 (12), 1377, 2021
Mandates: Government of Italy
Structure learning from related data sets with a hierarchical Bayesian score
L Azzimonti, G Corani, M Scutari
International conference on probabilistic graphical models, 5-16, 2020
Mandates: Swiss National Science Foundation
Hierarchical Multinomial-Dirichlet model for the estimation of conditional probability tables
L Azzimonti, G Corani, M Zaffalon
2017 IEEE International Conference on Data Mining (ICDM), 739-744, 2017
Mandates: Swiss National Science Foundation
A Bayesian hierarchical score for structure learning from related data sets
L Azzimonti, G Corani, M Scutari
International Journal of Approximate Reasoning 142, 248-265, 2022
Mandates: Swiss National Science Foundation
A transfer learning framework to elucidate the clinical relevance of altered proximal tubule cell states in kidney disease
D Legouis, A Rinaldi, D Malpetti, G Arnoux, T Verissimo, A Faivre, ...
Iscience 27 (3), 2024
Mandates: Swiss National Science Foundation
Optimal risk and diagnosis assessment strategies in perinatal depression: A machine learning approach from the life-ON study cohort
A D'Agostino, C Garbazza, D Malpetti, L Azzimonti, F Mangili, HC Stein, ...
Psychiatry research 332, 115687, 2024
Mandates: Swiss National Science Foundation
The influence of baseline clinical status and surgical strategy on early good to excellent result in spinal lumbar arthrodesis: a machine learning approach
F Langella, L Ventriglia, D Compagnone, P Barletta, D Huber, F Mangili, ...
medRxiv, 2021.09. 17.21263625, 2021
Mandates: Government of Italy
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