| Energy-efficient dynamic traffic offloading and reconfiguration of networked data centers for big data stream mobile computing: review, challenges, and a case study E Baccarelli, N Cordeschi, A Mei, M Panella, M Shojafar, J Stefa IEEE network 30 (2), 54-61, 2016 | 239 | 2016 |
| Distributed learning for random vector functional-link networks S Scardapane, D Wang, M Panella, A Uncini Information Sciences 301, 271-284, 2015 | 166 | 2015 |
| Adaptive resolution min-max classifiers A Rizzi, M Panella, FMF Mascioli IEEE Transactions on Neural Networks 13 (2), 402-414, 2002 | 131 | 2002 |
| A decentralized training algorithm for echo state networks in distributed big data applications S Scardapane, D Wang, M Panella Neural Networks 78, 65-74, 2016 | 119 | 2016 |
| An input-output clustering approach to the synthesis of ANFIS networks M Panella, AS Gallo IEEE Transactions on fuzzy systems 13 (1), 69-81, 2005 | 106 | 2005 |
| Neural networks with quantum architecture and quantum learning M Panella, G Martinelli International Journal of Circuit Theory and Applications 39 (1), 61-77, 2011 | 99 | 2011 |
| A neural network based prediction system of distributed generation for the management of microgrids A Rosato, M Panella, R Araneo, A Andreotti IEEE Transactions on Industry Applications 55 (6), 7092-7102, 2019 | 91 | 2019 |
| Forecasting energy commodity prices using neural networks. M Panella, F Barcellona, RL D'ecclesia Advances in Decision Sciences, 2012 | 86 | 2012 |
| Partial discharge pattern recognition by neuro-fuzzy networks in heat-shrinkable joints and terminations of XLPE insulated distribution cables C Mazzetti, FMF Mascioli, F Baldini, M Panella, R Risica, R Bartnikas IEEE Transactions on Power Delivery 21 (3), 1035-1044, 2006 | 75 | 2006 |
| Dust detection and analysis in museum environment based on pattern recognition A Proietti, M Panella, F Leccese, E Svezia Measurement 66, 62-72, 2015 | 72 | 2015 |
| Distributed semi-supervised support vector machines S Scardapane, R Fierimonte, P Di Lorenzo, M Panella, A Uncini Neural Networks 80, 43-52, 2016 | 63 | 2016 |
| Prediction in photovoltaic power by neural networks A Rosato, R Altilio, R Araneo, M Panella Energies 10 (7), 1003, 2017 | 55 | 2017 |
| Fully decentralized semi-supervised learning via privacy-preserving matrix completion R Fierimonte, S Scardapane, A Uncini, M Panella IEEE transactions on neural networks and learning systems 28 (11), 2699-2711, 2016 | 54 | 2016 |
| Deep neural networks for multivariate prediction of photovoltaic power time series F Succetti, A Rosato, R Araneo, M Panella IEEE Access 8, 211490-211505, 2020 | 53 | 2020 |
| An accurate algorithm for the identification of fingertips using an RGB-D camera M Maisto, M Panella, L Liparulo, A Proietti IEEE Journal on Emerging and Selected Topics in Circuits and Systems 3 (2 …, 2013 | 53 | 2013 |
| A fuzzy kernel motion classifier for autonomous stroke rehabilitation Z Zhang, L Liparulo, M Panella, X Gu, Q Fang IEEE journal of biomedical and health informatics 20 (3), 893-901, 2015 | 51 | 2015 |
| Neurofuzzy networks with nonlinear quantum learning M Panella, G Martinelli IEEE Transactions on Fuzzy Systems 17 (3), 698-710, 2008 | 50 | 2008 |
| A distributed algorithm for the cooperative prediction of power production in PV plants A Rosato, M Panella, R Araneo IEEE transactions on energy conversion 34 (1), 497-508, 2018 | 45 | 2018 |
| Selection of clinical features for pattern recognition applied to gait analysis R Altilio, M Paoloni, M Panella Medical & biological engineering & computing 55, 685-695, 2017 | 44 | 2017 |
| ANFIS synthesis by hyperplane clustering M Panella, A Rizzi, FMF Mascioli, G Martinelli Proceedings Joint 9th IFSA World Congress and 20th NAFIPS International …, 2001 | 42 | 2001 |
Antonello RosatoDept. of Information Engineering, Electronics and Telecommuncations (DIET), Sapienza University ofVerified email at uniroma1.it
