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
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
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
Distributed learning for random vector functional-link networks
S Scardapane, D Wang, M Panella, A Uncini
Information Sciences 301, 271-284, 2015
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
Interpreting black-box models: a review on explainable artificial intelligence
V Hassija, V Chamola, A Mahapatra, A Singal, D Goel, K Huang, ...
Cognitive Computation 16 (1), 45-74, 2024
Missing data imputation with adversarially-trained graph convolutional networks
I Spinelli, S Scardapane, A Uncini
Neural Networks 129, 249-260, 2020
Why should we add early exits to neural networks?
S Scardapane, M Scarpiniti, E Baccarelli, A Uncini
Cognitive Computation 12 (5), 954-966, 2020
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
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
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
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
Adaptive propagation graph convolutional network
I Spinelli, S Scardapane, A Uncini
IEEE Transactions on Neural Networks and Learning Systems 32 (10), 4755-4760, 2020
Deep randomized neural networks
C Gallicchio, S Scardapane
Recent Trends in Learning From Data: Tutorials from the INNS Big Data and …, 2020
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
Distributed semi-supervised support vector machines
S Scardapane, R Fierimonte, P Di Lorenzo, M Panella, A Uncini
Neural Networks 80, 43-52, 2016
Efficient continual learning in neural networks with embedding regularization
J Pomponi, S Scardapane, V Lomonaco, A Uncini
Neurocomputing 397, 139-148, 2020
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
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