Aurelio Uncini 个人学术档案

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Danilo ComminielloAssociate Professor at Sapienza University of Rome在 uniroma1.it 的电子邮件经过验证
Simone ScardapaneAssistant Professor, Sapienza University在 uniroma1.it 的电子邮件经过验证
Raffaele ParisiProfessore Associato在 uniroma1.it 的电子邮件经过验证
Michele MarchesiProfessor of Software Engineering (retired), DMI, Cagliari University在 unica.it 的电子邮件经过验证
Nevio BenvenutoDept. of Information Engineering, University of Padova, Italy在 dei.unipd.it 的电子邮件经过验证
Massimo PanellaUniversity of Rome "La Sapienza" (Dept. of Information Eng., Electronics and Telecom.)在 uniroma1.it 的电子邮件经过验证
Luis A. Azpicueta-RuizUniversidad Carlos III de Madrid在 tsc.uc3m.es 的电子邮件经过验证
Jerónimo Arenas-GarcíaUniversidad Carlos III de Madrid在 uc3m.es 的电子邮件经过验证
Simone FioriUniversità Politecnica delle Marche在 univpm.it 的电子邮件经过验证
Antonello RizziUniversity of Rome "La Sapienza", Information Engineering, Electronics and Telecommunications Dpt.在 uniroma1.it 的电子邮件经过验证
Bhaskar RaoUniversity of California, San Diego在 eng.ucsd.edu 的电子邮件经过验证
Stefania CecchiUniversità Politecnica delle Marche在 univpm.it 的电子邮件经过验证
Andrea AlemannoResearcher, LA SAPIENZA University of Rome在 uniroma1.it 的电子邮件经过验证
Andrzej CichockiSystems Research Institute, Nicolaus Copernicus University, RIKEN (AIP)在 riken.jp 的电子邮件经过验证
Wei Xing ZhengDistinguished Professor, Western Sydney University, Australia在 westernsydney.edu.au 的电子邮件经过验证
Donald GoldfarbColumbia University在 columbia.edu 的电子邮件经过验证
Fabrizio PiazzaPrincipal Investigator, iCAβ International Network Coordinator, University of Milano Bicocca在 unimib.it 的电子邮件经过验证

关注

Aurelio Uncini

Professor of Electrical and Computer Engineering, Sapienza University of Rome

在 uniroma1.it 的电子邮件经过验证 - 首页

Circuit Theory Neural Networks Deep Learning Audio and Speech Processing


标题按引用次数排序按年份排序按标题排序	引用次数引用次数	年份
Group sparse regularization for deep neural networks S Scardapane, D Comminiello, A Hussain, A Uncini Neurocomputing 241, 81-89, 2017	534	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	220	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
Fast neural networks without multipliers M Marchesi, G Orlandi, F Piazza, A Uncini IEEE transactions on Neural Networks 4 (1), 53-62, 1993	194	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	186	1998
Nonlinear spline adaptive filtering M Scarpiniti, D Comminiello, R Parisi, A Uncini Signal Processing 93 (4), 772-783, 2013	185	2013
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	170	2013
Distributed learning for random vector functional-link networks S Scardapane, D Wang, M Panella, A Uncini Information Sciences 301, 271-284, 2015	165	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	159	1999
Online Sequential Extreme Learning Machine With Kernels S Scardapane, D Comminiello, M Scarpiniti, A Uncini IEEE Transactions on Neural Networks and Learning Systems,, 2015	157	2015
Missing data imputation with adversarially-trained graph convolutional networks I Spinelli, S Scardapane, A Uncini Neural Networks 129, 249-260, 2020	132	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	122	1993
Why should we add early exits to neural networks? S Scardapane, M Scarpiniti, E Baccarelli, A Uncini Cognitive Computation 12 (5), 954-966, 2020	119	2020
Fundamentals of Adaptive Signal Processing A Uncini Springer International Publishing, 2015	119	2015
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	108	2018
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	108	1999
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	100	2021
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	100	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	95	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	90	2014

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