Simone Scardapane
Simone Scardapane
Assistant Professor, Sapienza University
Zweryfikowany adres z uniroma1.it - Strona główna
Tytuł
Cytowane przez
Cytowane przez
Rok
Group sparse regularization for deep neural networks
S Scardapane, D Comminiello, A Hussain, A Uncini
Neurocomputing 241, 81-89, 2017
3292017
Randomness in neural networks: an overview
S Scardapane, D Wang
Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery 7 (2 …, 2017
1992017
Online sequential extreme learning machine with kernels
S Scardapane, D Comminiello, M Scarpiniti, A Uncini
IEEE transactions on neural networks and learning systems 26 (9), 2214-2220, 2014
1332014
Distributed learning for random vector functional-link networks
S Scardapane, D Wang, M Panella, A Uncini
Information Sciences 301, 271-284, 2015
1212015
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
962016
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
832015
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
572019
Distributed semi-supervised support vector machines
S Scardapane, R Fierimonte, P Di Lorenzo, M Panella, A Uncini
Neural Networks 80, 43-52, 2016
502016
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
392018
Semi-supervised echo state networks for audio classification
S Scardapane, A Uncini
Cognitive Computation 9 (1), 125-135, 2017
392017
A semi-supervised random vector functional-link network based on the transductive framework
S Scardapane, D Comminiello, M Scarpiniti, A Uncini
Information Sciences 364, 156-166, 2016
392016
Reservoir computing approaches for representation and classification of multivariate time series
FM Bianchi, S Scardapane, S Løkse, R Jenssen
IEEE transactions on neural networks and learning systems 32 (5), 2169-2179, 2020
372020
Distributed music classification using random vector functional-link nets
S Scardapane, R Fierimonte, D Wang, M Panella, A Uncini
2015 International joint conference on neural networks (IJCNN), 1-8, 2015
342015
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, 2016
302016
Music classification using extreme learning machines
S Scardapane, D Comminiello, M Scarpiniti, A Uncini
2013 8th international symposium on image and signal processing and analysis …, 2013
292013
A framework for parallel and distributed training of neural networks
S Scardapane, P Di Lorenzo
Neural Networks 91, 42-54, 2017
262017
Quaternion convolutional neural networks for detection and localization of 3d sound events
D Comminiello, M Lella, S Scardapane, A Uncini
ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and …, 2019
252019
Missing data imputation with adversarially-trained graph convolutional networks
I Spinelli, S Scardapane, A Uncini
Neural Networks 129, 249-260, 2020
242020
Bayesian random vector functional-link networks for robust data modeling
S Scardapane, D Wang, A Uncini
IEEE transactions on cybernetics 48 (7), 2049-2059, 2017
242017
Learning activation functions from data using cubic spline interpolation
S Scardapane, M Scarpiniti, D Comminiello, A Uncini
Italian Workshop on Neural Nets, 73-83, 2017
242017
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