| A penalized regression model for spatial functional data with application to the analysis of the production of waste in Venice province MS Bernardi, LM Sangalli, G Mazza, JO Ramsay Stochastic environmental research and risk assessment 31, 23-38, 2017 | 53 | 2017 |
| Curve matching, a generalized framework for models/experiments comparison: An application to n-heptane combustion kinetic mechanisms MS Bernardi, M Pelucchi, A Stagni, LM Sangalli, A Cuoci, A Frassoldati, ... Combustion and Flame 168, 186-203, 2016 | 38 | 2016 |
| Modeling spatial anisotropy via regression with partial differential regularization MS Bernardi, M Carey, JO Ramsay, LM Sangalli Journal of Multivariate Analysis 167, 15-30, 2018 | 23 | 2018 |
| On the use of interferometric synthetic aperture radar data for monitoring and forecasting natural hazards MS Bernardi, PC Africa, C de Falco, L Formaggia, A Menafoglio, S Vantini Mathematical Geosciences 53 (8), 1781-1812, 2021 | 22 | 2021 |
| Analysis of proteomics data: Block -mean alignment M Bernardi, LM Sangalli, P Secchi, S Vantini | 10 | 2014 |
| Analysis of juggling data: An application of -mean alignment M Bernardi, LM Sangalli, P Secchi, S Vantini | 6 | 2014 |
| Modelling spatial and spatio-temporal fields via regression with PDE penalization MS Bernardi Politecnico di Milano, 2017 | 3 | 2017 |
| Identification of Precursors in InSAR Time Series Using Functional Data Analysis Post-Processing: Demonstration on Mud Volcano Eruptions M Fontana, MS Bernardi, F Cigna, D Tapete, A Menafoglio, S Vantini Remote Sensing 16 (7), 1191, 2024 | | 2024 |
| Modeling Spatially Dependent Functional Data by Spatial Regression with Differential Regularization MS Bernardi, LM Sangalli Geostatistical Functional Data Analysis, 260-285, 2022 | | 2022 |
| Composition-on-Function Regression Model for the Remote Analysis of Near-Earth Asteroids MS Bernardi, M Fontana, A Menafoglio, A Pisello, M Porreca, D Perugini, ... Preface XIX 1 Plenary Sessions, 801, 2021 | | 2021 |
| Functional Data Analysis for Spectroscopy Data MS Bernardi, M Fontana, A Menafoglio, D Perugini, A Pisello, M Ferrari, ... Book of Short Papers SIS 2020, 846-851, 2020 | | 2020 |
| Analysis of Telecom Italia mobile phone data by space-time regression with differential regularization E Arnone, MS Bernardi, LM Sangalli, P Secchi Functional and High-Dimensional Statistics and Related Fields 5, 5-10, 2020 | | 2020 |
| PDE-regularized regression for anisotropic spatial fields MS Bernardi, M Carey, JO Ramsay, LM Sangalli Smart statistics for smart applications, 669-672, 2019 | | 2019 |
| A penalized regression model for functional data with spatial dependence M Bernardi, G Mazza, JO Ramsay, L Sangalli Proceedings of the XLVIII Scientific Meeting of the Italian Statistical …, 2016 | | 2016 |
| A separable model for spatial functional data with application to the analysis of the production of waste in Venice province MS Bernardi, G Mazza, JO Ramsay, LM Sangalli Tech. Rep. MOX 34/2015, Dip. di Matematica, Politecnico di Milano. Submitted …, 2015 | | 2015 |
| Registrazione di curve mediante l'algoritmo k-mean alignment ed estensione all'allineamento locale e di superfici MS BERNARDI Politecnico di Milano, 2012 | | 2012 |
| Different Varimax Rotation Approaches of Functional PCA for the evolution of COVID-19 pandemic in Spain.......... C Acal, AM Aguilera, M Escabias, M Alahiane, I Ouassou, P Vieu, ... Different Varimax Rotation Approaches of Functional PCA for the evolution of …, 0 | | |
| MOX–Report No. 42/2013 M Bernardi, LM Sangalli, P Secchi, S Vantini | | |
| MOX–Report No. 41/2013 M Bernardi, LM Sangalli, P Secchi, S Vantini | | |
