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Aurelio Uncini
Aurelio Uncini
Professor of Electrical and Computer Engineering, Sapienza University of Rome
Verified email at uniroma1.it - Homepage
Title
Cited by
Cited by
Year
Group sparse regularization for deep neural networks
S Scardapane, D Comminiello, A Hussain, A Uncini
Neurocomputing 241, 81-89, 2017
5602017
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
2241999
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
2041992
Nonlinear spline adaptive filtering
M Scarpiniti, D Comminiello, R Parisi, A Uncini
Signal Processing 93 (4), 772-783, 2013
2002013
Fast neural networks without multipliers
M Marchesi, G Orlandi, F Piazza, A Uncini
IEEE transactions on Neural Networks 4 (1), 53-62, 1993
1961993
Learning and approximation capabilities of adaptive spline activation function neural networks
L Vecci, F Piazza, A Uncini
Neural Networks 11 (2), 259-270, 1998
1881998
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
1832013
Distributed learning for random vector functional-link networks
S Scardapane, D Wang, M Panella, A Uncini
Information Sciences 301, 271-284, 2015
1672015
Multilayer feedforward networks with adaptive spline activation function
S Guarnieri, F Piazza, A Uncini
IEEE Transactions on Neural Networks 10 (3), 672-683, 1999
1631999
Missing data imputation with adversarially-trained graph convolutional networks
I Spinelli, S Scardapane, A Uncini
Neural Networks 129, 249-260, 2020
1622020
Online Sequential Extreme Learning Machine With Kernels
S Scardapane, D Comminiello, M Scarpiniti, A Uncini
IEEE Transactions on Neural Networks and Learning Systems,, 2015
1612015
Why should we add early exits to neural networks?
S Scardapane, M Scarpiniti, E Baccarelli, A Uncini
Cognitive Computation 12 (5), 954-966, 2020
1382020
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
1282018
Neural networks with digital LUT activation functions
F Piazza, A Uncini, M Zenobi
Proceedings of 1993 international conference on neural networks (IJCNN-93 …, 1993
1271993
Fundamentals of Adaptive Signal Processing
A Uncini
Springer International Publishing, 2015
1212015
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
1152021
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
1091999
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
1032015
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
1002019
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
952014
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