| Different brain correlates for watching real and virtual hand actions D Perani, F Fazio, NA Borghese, M Tettamanti, S Ferrari, J Decety, ... Neuroimage 14 (3), 749-758, 2001 | 399 | 2001 |
| Autoscan: A flexible and portable 3D scanner NA Borghese, G Ferrigno, G Baroni, A Pedotti, S Ferrari, R Savare IEEE Computer Graphics and Applications 18 (3), 38-41, 1998 | 114 | 1998 |
| Multiscale approximation with hierarchical radial basis functions networks S Ferrari, M Maggioni, NA Borghese IEEE Transactions on Neural Networks 15 (1), 178-188, 2004 | 113 | 2004 |
| Models for solar radiation prediction based on different measurement sites M Lazzaroni, S Ferrari, V Piuri, A Salman, L Cristaldi, M Faifer Measurement 63, 346-363, 2015 | 77 | 2015 |
| A survey of unsupervised generative models for exploratory data analysis and representation learning M Abukmeil, S Ferrari, A Genovese, V Piuri, F Scotti Acm computing surveys (csur) 54 (5), 1-40, 2021 | 73 | 2021 |
| A hierarchical RBF online learning algorithm for real-time 3-D scanner S Ferrari, F Bellocchio, V Piuri, NA Borghese IEEE Transactions on Neural Networks 21 (2), 275-285, 2009 | 56 | 2009 |
| A portable modular system for automatic acquisition of 3D objects NA Borghese, S Ferrari IEEE Transactions on instrumentation and Measurement 49 (5), 1128-1136, 2000 | 53 | 2000 |
| 3D surface reconstruction: multi-scale hierarchical approaches F Bellocchio, NA Borghese, S Ferrari, V Piuri Springer Science & Business Media, 2012 | 50 | 2012 |
| Hierarchical approach for multiscale support vector regression F Bellocchio, S Ferrari, V Piuri, NA Borghese IEEE transactions on neural networks and learning systems 23 (9), 1448-1460, 2012 | 46 | 2012 |
| Automatic multiscale meshing through HRBF networks S Ferrari, I Frosio, V Piuri, NA Borghese IEEE Transactions on Instrumentation and Measurement 54 (4), 1463-1470, 2005 | 44 | 2005 |
| Hierarchical RBF networks and local parameters estimate NA Borghese, S Ferrari Neurocomputing 19 (1-3), 259-283, 1998 | 42 | 1998 |
| Statistical models approach for solar radiation prediction S Ferrari, M Lazzaroni, V Piuri, L Cristaldi, M Faifer 2013 IEEE international instrumentation and measurement technology …, 2013 | 30 | 2013 |
| Reducing and filtering point clouds with enhanced vector quantization S Ferrari, G Ferrigno, V Piuri, NA Borghese IEEE Transactions on Neural Networks 18 (1), 161-177, 2007 | 29 | 2007 |
| Illuminance prediction through extreme learning machines S Ferrari, M Lazzaroni, V Piuri, A Salman, L Cristaldi, M Rossi, T Poli 2012 IEEE Workshop on Environmental Energy and Structural Monitoring Systems …, 2012 | 25 | 2012 |
| New trends in intelligent system design for embedded and measurement applications C Alippi, S Ferrari, V Piuri, M Sami, F Scotti IEEE Instrumentation & Measurement Magazine 2 (2), 36-44, 1999 | 21 | 1999 |
| Image processing for granulometry analysis via neural networks S Ferrari, V Piuri, F Scotti 2008 IEEE International Conference on Computational Intelligence for …, 2008 | 19 | 2008 |
| Illuminance prediction through SVM regression F Bellocchio, S Ferrari, M Lazzaroni, L Cristaldi, M Rossi, T Poli, R Paolini 2011 IEEE Workshop on Environmental Energy and Structural Monitoring Systems …, 2011 | 18 | 2011 |
| Multiscale models for data processing: an experimental sensitivity analysis S Ferrari, A Borghese, V Piuri IEEE Transactions on Instrumentation and Measurement 50 (4), 995-1002, 2001 | 18 | 2001 |
| Hierarchical RBF networks in function approximation NA Borghese, S Ferrari Neurocomputing 19 (1-3), 259-283, 1998 | 18 | 1998 |
| Computational intelligence models for solar radiation prediction S Ferrari, M Lazzaroni, V Piuri, A Salman, L Cristaldi, M Faifer 2013 IEEE International Instrumentation and Measurement Technology …, 2013 | 16 | 2013 |
