Simone Scardapane
Simone Scardapane
Assistant Professor, Sapienza University
Verified email at - Homepage
Cited by
Cited by
Group sparse regularization for deep neural networks
S Scardapane, D Comminiello, A Hussain, A Uncini
Neurocomputing 241, 81-89, 2017
Randomness in neural networks: an overview
S Scardapane, D Wang
Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery 7 (2 …, 2017
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
Distributed learning for random vector functional-link networks
S Scardapane, D Wang, M Panella, A Uncini
Information Sciences 301, 271-284, 2015
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
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
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
Distributed semi-supervised support vector machines
S Scardapane, R Fierimonte, P Di Lorenzo, M Panella, A Uncini
Neural Networks 80, 43-52, 2016
Semi-supervised echo state networks for audio classification
S Scardapane, A Uncini
Cognitive Computation 9 (1), 125-135, 2017
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
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
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, 2018
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
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
Improving nonlinear modeling capabilities of functional link adaptive filters
D Comminiello, M Scarpiniti, S Scardapane, R Parisi, A Uncini
Neural Networks 69, 51-59, 2015
A framework for parallel and distributed training of neural networks
S Scardapane, P Di Lorenzo
Neural Networks 91, 42-54, 2017
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
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
An effective criterion for pruning reservoir's connections in echo state networks
S Scardapane, G Nocco, D Comminiello, M Scarpiniti, A Uncini
2014 International joint conference on neural networks (IJCNN), 1205-1212, 2014
In Codice Ratio: OCR of Handwritten Latin Documents using Deep Convolutional Networks
D Firmani, P Merialdo, E Nieddu, S Scardapane
Proceedings of the 11th International Workshop on Artificial Intelligence …, 2017
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