Simone Scardapane

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Aurelio UnciniProfessor of Electrical and Computer Engineering, Sapienza University of RomeVerified email at uniroma1.it
Danilo ComminielloAssociate Professor at Sapienza University of RomeVerified email at uniroma1.it
Michele ScarpinitiAssociate Professor, Sapienza University of RomeVerified email at uniroma1.it
Indro SpinelliAssistant Professor, Sapienza University of RomeVerified email at uniroma1.it
Massimo PanellaUniversity of Rome "La Sapienza" (Dept. of Information Eng., Electronics and Telecom.)Verified email at uniroma1.it
Prof Amir HussainSchool of Computing, Edinburgh Napier University, Scotland, UKVerified email at napier.ac.uk
Filippo Maria BianchiUiT the Arctic University of Norway - Dept. of Mathematics and StatisticsVerified email at uit.no
Paolo Di LorenzoSapienza University of RomeVerified email at uniroma1.it
Jary PomponiSapienza, University of RomeVerified email at uniroma1.it
Raffaele ParisiProfessore AssociatoVerified email at uniroma1.it
Dianhui WANGLa Trobe UniversityVerified email at latrobe.edu.au
Steven Van VaerenberghAssociate professor, University of CantabriaVerified email at unican.es
Valerio MarsocciPostdoctoral researcher, KU LeuvenVerified email at uniroma1.it
Roberto FierimonteSapienza University of Rome and UCLVerified email at ucl.ac.uk
Robert JenssenVisual Intelligence, UiT The Arctic University of Norway & Norw. Comp. Center & P1 Centre AI, UCPHVerified email at uit.no
Sigurd LøkseResearch Scientist at NORCE Norwegian Research CentreVerified email at norceresearch.no
Simone TotaroUdeM / MilaVerified email at mila.quebec
Vinay Chamola, Fellow, IET; Senior M...Associate Professor, BITS-Pilani & Director, Medsupervision Pvt. LtdVerified email at pilani.bits-pilani.ac.in
Kaizhu HuangProfessor of ECE, Duke Kunshan UniversityVerified email at dukekunshan.edu.cn
enzo baccarelliuniversity la sapienza of romeVerified email at uniroma1.it

Simone Scardapane

Assistant Professor, Sapienza University

Verified email at uniroma1.it - Homepage

Machine Learning Signal Processing


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Group sparse regularization for deep neural networks S Scardapane, D Comminiello, A Hussain, A Uncini Neurocomputing 241, 81-89, 2017	561	2017
Randomness in neural networks: an overview S Scardapane, D Wang Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery 7 (2 …, 2017	378	2017
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	354	2024
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	202	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	195	2020
Distributed learning for random vector functional-link networks S Scardapane, D Wang, M Panella, A Uncini Information Sciences 301, 271-284, 2015	167	2015
Missing data imputation with adversarially-trained graph convolutional networks I Spinelli, S Scardapane, A Uncini Neural Networks 129, 249-260, 2020	162	2020
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	161	2014
Why should we add early exits to neural networks? S Scardapane, M Scarpiniti, E Baccarelli, A Uncini Cognitive Computation 12 (5), 954-966, 2020	138	2020
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	128	2018
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	119	2016
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	115	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	103	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	100	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	95	2020
Deep randomized neural networks C Gallicchio, S Scardapane Recent Trends in Learning From Data: Tutorials from the INNS Big Data and …, 2020	83	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	73	2019
Distributed semi-supervised support vector machines S Scardapane, R Fierimonte, P Di Lorenzo, M Panella, A Uncini Neural Networks 80, 43-52, 2016	64	2016
Efficient continual learning in neural networks with embedding regularization J Pomponi, S Scardapane, V Lomonaco, A Uncini Neurocomputing 397, 139-148, 2020	59	2020
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	54	2016

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