| Group sparse regularization for deep neural networks S Scardapane, D Comminiello, A Hussain, A Uncini Neurocomputing 241, 81-89, 2017 | 560 | 2017 |
| On-line learning algorithms for locally recurrent neural networks P Campolucci, A Uncini, F Piazza, BD Rao IEEE transactions on neural networks 10 (2), 253-271, 1999 | 224 | 1999 |
| Applications of simulated annealing for the design of special digital filters N Benvenuto, M Marchesi, A Uncini IEEE Transactions on Signal Processing 40 (2), 323-332, 1992 | 204 | 1992 |
| Nonlinear spline adaptive filtering M Scarpiniti, D Comminiello, R Parisi, A Uncini Signal Processing 93 (4), 772-783, 2013 | 200 | 2013 |
| Fast neural networks without multipliers M Marchesi, G Orlandi, F Piazza, A Uncini IEEE transactions on Neural Networks 4 (1), 53-62, 1993 | 197 | 1993 |
| Learning and approximation capabilities of adaptive spline activation function neural networks L Vecci, F Piazza, A Uncini Neural Networks 11 (2), 259-270, 1998 | 188 | 1998 |
| Functional link adaptive filters for nonlinear acoustic echo cancellation D Comminiello, M Scarpiniti, LA Azpicueta-Ruiz, J Arenas-Garcia, ... IEEE Transactions on Audio, Speech, and Language Processing 21 (7), 1502-1512, 2013 | 183 | 2013 |
| Distributed learning for random vector functional-link networks S Scardapane, D Wang, M Panella, A Uncini Information Sciences 301, 271-284, 2015 | 167 | 2015 |
| Multilayer feedforward networks with adaptive spline activation function S Guarnieri, F Piazza, A Uncini IEEE Transactions on Neural Networks 10 (3), 672-683, 1999 | 162 | 1999 |
| Missing data imputation with adversarially-trained graph convolutional networks I Spinelli, S Scardapane, A Uncini Neural Networks 129, 249-260, 2020 | 161 | 2020 |
| Online Sequential Extreme Learning Machine With Kernels S Scardapane, D Comminiello, M Scarpiniti, A Uncini IEEE Transactions on Neural Networks and Learning Systems,, 2015 | 161 | 2015 |
| Why should we add early exits to neural networks? S Scardapane, M Scarpiniti, E Baccarelli, A Uncini Cognitive Computation 12 (5), 954-966, 2020 | 138 | 2020 |
| Neural networks with digital LUT activation functions F Piazza, A Uncini, M Zenobi Proceedings of 1993 international conference on neural networks (IJCNN-93 …, 1993 | 129 | 1993 |
| Complex-valued neural networks with nonparametric activation functions S Scardapane, S Van Vaerenbergh, A Hussain, A Uncini IEEE Transactions on Emerging Topics in Computational Intelligence 4 (2 …, 2018 | 127 | 2018 |
| Fundamentals of Adaptive Signal Processing A Uncini Springer International Publishing, 2015 | 121 | 2015 |
| Fairdrop: Biased edge dropout for enhancing fairness in graph representation learning I Spinelli, S Scardapane, A Hussain, A Uncini IEEE Transactions on Artificial Intelligence 3 (3), 344-354, 2021 | 114 | 2021 |
| Complex-valued neural networks with adaptive spline activation function for digital-radio-links nonlinear equalization A Uncini, L Vecci, P Campolucci, F Piazza IEEE Transactions on Signal Processing 47 (2), 505-514, 1999 | 109 | 1999 |
| Prediction of telephone calls load using echo state network with exogenous variables FM Bianchi, S Scardapane, A Uncini, A Rizzi, A Sadeghian Neural Networks 71, 204-213, 2015 | 103 | 2015 |
| Kafnets: Kernel-based non-parametric activation functions for neural networks S Scardapane, S Van Vaerenbergh, S Totaro, A Uncini Neural Networks 110, 19-32, 2019 | 99 | 2019 |
| Hammerstein uniform cubic spline adaptive filters: Learning and convergence properties M Scarpiniti, D Comminiello, R Parisi, A Uncini Signal Processing, doi:10.1016/j.sigpro.2014.01.019, 100, 112-123, 2014 | 95 | 2014 |
Danilo ComminielloAssociate Professor at Sapienza University of Romeuniroma1.it의 이메일 확인됨
