Staff details

58/2026

Prior-informed conditional Gaussian graphical models: an application to protein interaction network reconstruction

MAPELLI, A.; MASSI, M.C.; CUCCURU, G.; DI ANGELANTONIO, E.; IEVA, F. June 30, 2026

83/2023

Dual adversarial deconfounding autoencoder for joint batch-effects removal from multi-center and multi-scanner radiomics data

CAVINATO, L.; MASSI, M.C.; SOLLINI, M.; KIRIENKO , M.; IEVA, F. November 2, 2023

64/2022

A Deep Survival EWAS approach estimating risk profile based on pre-diagnostic DNA methylation: an application to Breast Cancer time to diagnosis

MASSI, M.C., DOMINONI, L., IEVA, F., FIORITO, G. October 5, 2022

82/2021

Learning Signal Representations for EEG Cross-Subject Channel Selection and Trial Classification

MASSI, M.C.; IEVA, F. December 2, 2021

81/2021

Feature Selection for Imbalanced Data with Deep Sparse Autoencoders Ensemble

MASSI, M.C.; GASPERONI, F.; IEVA, F.; PAGANONI, A. December 2, 2021

62/2020

Representation Learning Methods for EEG Cross-Subject Channel Selection and Trial Classification

MASSI, M. C.; IEVA, F. September 14, 2020

59/2020

High-Order Interaction Learning via Targeted Pattern Search

MASSI, M.C.; FRANCO, N.R; IEVA, F.; MANZONI, A.; PAGANONI, A.M.; ZUNINO, P. August 7, 2020

30/2020

A deep learning approach validates genetic risk factors for late toxicity after prostate cancer radiotherapy in a REQUITE multinational cohort

MASSI, M.C., GASPERONI, F., IEVA, F., PAGANONI, A.M., ZUNINO, P., MANZONI, A., FRANCO, N.R., ET AL. May 9, 2020

38/2019

Minority Class Feature Selection through Semi-Supervised Deep Sparse Autoencoders

MASSI, M.C.; IEVA, F.; GASPERONI, F.; PAGANONI, A.M. October 16, 2019

49/2018

Data Mining Application to Healthcare Fraud Detection: A Two-Step Unsupervised Clustering Model for Outlier Detection with Administrative Databases

MASSI, M.C.; IEVA, F.; LETTIERI, E. September 25, 2018

21/2007

Modeling of Salt Tectonics

MASSIMI, PAOLO; QUARTERONI, ALFIO; SALERI, FAUSTO; SCROFANI, GIOVANNI November 6, 2007

MOX 96

Modeling of Salt Tectonics

MASSIMI, PAOLO; QUARTERONI, ALFIO; SALERI, FAUSTO; SCROFANI, GIOVANNI December 21, 2006

MOX 49

An adaptive finite element method for modeling salt diapirism

MASSIMI, PAOLO; QUARTERONI, ALFIO; SCROFANI, GIOVANNI November 2, 2004

MOX 31

Numerical Modeling of 1D Arterial Networks Coupled with a Lumped Parameters Description of the Heart

FORMAGGIA, LUCA; LAMPONI, DANIELE; TUVERI, MASSIMILIANO; VENEZIANI, ALESSANDRO February 27, 2004

Michela Massi

Contact Information

Keywords

Available MOX Reports

Prior-informed conditional Gaussian graphical models: an application to protein interaction network reconstruction

Dual adversarial deconfounding autoencoder for joint batch-effects removal from multi-center and multi-scanner radiomics data

A Deep Survival EWAS approach estimating risk profile based on pre-diagnostic DNA methylation: an application to Breast Cancer time to diagnosis

Learning Signal Representations for EEG Cross-Subject Channel Selection and Trial Classification

Feature Selection for Imbalanced Data with Deep Sparse Autoencoders Ensemble

Representation Learning Methods for EEG Cross-Subject Channel Selection and Trial Classification

High-Order Interaction Learning via Targeted Pattern Search

A deep learning approach validates genetic risk factors for late toxicity after prostate cancer radiotherapy in a REQUITE multinational cohort

Minority Class Feature Selection through Semi-Supervised Deep Sparse Autoencoders

Data Mining Application to Healthcare Fraud Detection: A Two-Step Unsupervised Clustering Model for Outlier Detection with Administrative Databases

Modeling of Salt Tectonics

Modeling of Salt Tectonics

An adaptive finite element method for modeling salt diapirism

Numerical Modeling of 1D Arterial Networks Coupled with a Lumped Parameters Description of the Heart