Aurelio Uncini

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Danilo ComminielloAssociate Professor at Sapienza University of RomeVerified email at uniroma1.it
Simone ScardapaneAssistant Professor, Sapienza UniversityVerified email at uniroma1.it
Raffaele ParisiProfessore AssociatoVerified email at uniroma1.it
Michele MarchesiProfessor of Software Engineering (retired), DMI, Cagliari UniversityVerified email at unica.it
Nevio BenvenutoDept. of Information Engineering, University of Padova, ItalyVerified email at dei.unipd.it
Massimo PanellaUniversity of Rome "La Sapienza" (Dept. of Information Eng., Electronics and Telecom.)Verified email at uniroma1.it
Luis A. Azpicueta-RuizUniversidad Carlos III de MadridVerified email at tsc.uc3m.es
Jerónimo Arenas-GarcíaUniversidad Carlos III de MadridVerified email at uc3m.es
Simone FioriUniversità Politecnica delle MarcheVerified email at univpm.it
Antonello RizziUniversity of Rome "La Sapienza", Information Engineering, Electronics and Telecommunications Dpt.Verified email at uniroma1.it
Bhaskar RaoUniversity of California, San DiegoVerified email at eng.ucsd.edu
Stefania CecchiUniversità Politecnica delle MarcheVerified email at univpm.it
Andrea AlemannoResearcher, LA SAPIENZA University of RomeVerified email at uniroma1.it
Andrzej CichockiSystems Research Institute, Nicolaus Copernicus University, RIKEN (AIP)Verified email at riken.jp
Wei Xing ZhengDistinguished Professor, Western Sydney University, AustraliaVerified email at westernsydney.edu.au
Donald GoldfarbColumbia UniversityVerified email at columbia.edu
Fabrizio PiazzaPrincipal Investigator, iCAβ International Network Coordinator, University of Milano BicoccaVerified email at unimib.it

Aurelio Uncini

Professor of Electrical and Computer Engineering, Sapienza University of Rome

Verified email at uniroma1.it - Homepage

Circuit Theory Neural Networks Deep Learning Audio and Speech Processing


Title Sort by citations Sort by year Sort by 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	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	196	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	163	1999
Missing data imputation with adversarially-trained graph convolutional networks I Spinelli, S Scardapane, A Uncini Neural Networks 129, 249-260, 2020	162	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
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	128	2018
Neural networks with digital LUT activation functions F Piazza, A Uncini, M Zenobi Proceedings of 1993 international conference on neural networks (IJCNN-93 …, 1993	127	1993
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	115	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	100	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

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