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Simone Scardapane
Simone Scardapane
Assistant Professor, Sapienza University
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
3792017
Randomness in neural networks: an overview
S Scardapane, D Wang
Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery 7 (2 …, 2017
2472017
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
1422014
Distributed learning for random vector functional-link networks
S Scardapane, D Wang, M Panella, A Uncini
Information Sciences 301, 271-284, 2015
1362015
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
1022016
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
892015
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
802020
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
682019
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
542018
Distributed semi-supervised support vector machines
S Scardapane, R Fierimonte, P Di Lorenzo, M Panella, A Uncini
Neural Networks 80, 43-52, 2016
542016
Avalanche: an end-to-end library for continual learning
V Lomonaco, L Pellegrini, A Cossu, A Carta, G Graffieti, TL Hayes, ...
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021
462021
Why should we add early exits to neural networks?
S Scardapane, M Scarpiniti, E Baccarelli, A Uncini
Cognitive Computation 12 (5), 954-966, 2020
452020
Missing data imputation with adversarially-trained graph convolutional networks
I Spinelli, S Scardapane, A Uncini
Neural Networks 129, 249-260, 2020
422020
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
412016
Semi-supervised echo state networks for audio classification
S Scardapane, A Uncini
Cognitive Computation 9 (1), 125-135, 2017
402017
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
382016
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
382015
Deep randomized neural networks
C Gallicchio, S Scardapane
Recent Trends in Learning From Data, 43-68, 2020
372020
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
362019
Adaptive propagation graph convolutional network
I Spinelli, S Scardapane, A Uncini
IEEE Transactions on Neural Networks and Learning Systems 32 (10), 4755-4760, 2020
322020
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