Simone Scardapane 个人学术档案

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Aurelio UnciniProfessor of Electrical and Computer Engineering, Sapienza University of Rome在 uniroma1.it 的电子邮件经过验证
Danilo ComminielloAssociate Professor at Sapienza University of Rome在 uniroma1.it 的电子邮件经过验证
Michele ScarpinitiAssociate Professor, Sapienza University of Rome在 uniroma1.it 的电子邮件经过验证
Indro SpinelliAssistant Professor, Sapienza University of Rome在 uniroma1.it 的电子邮件经过验证
Massimo PanellaUniversity of Rome "La Sapienza" (Dept. of Information Eng., Electronics and Telecom.)在 uniroma1.it 的电子邮件经过验证
Prof Amir HussainSchool of Computing, Edinburgh Napier University, Scotland, UK在 napier.ac.uk 的电子邮件经过验证
Filippo Maria BianchiUiT the Arctic University of Norway - Dept. of Mathematics and Statistics在 uit.no 的电子邮件经过验证
Raffaele ParisiProfessore Associato在 uniroma1.it 的电子邮件经过验证
Paolo Di LorenzoSapienza University of Rome在 uniroma1.it 的电子邮件经过验证
Dianhui WANGLa Trobe University在 latrobe.edu.au 的电子邮件经过验证
Jary PomponiSapienza, University of Rome在 uniroma1.it 的电子邮件经过验证
Steven Van VaerenberghAssociate professor, University of Cantabria在 unican.es 的电子邮件经过验证
Roberto FierimonteSapienza University of Rome and UCL在 ucl.ac.uk 的电子邮件经过验证
Valerio MarsocciPostdoctoral researcher, KU Leuven在 uniroma1.it 的电子邮件经过验证
Robert JenssenVisual Intelligence, UiT The Arctic University of Norway & Norw. Comp. Center & P1 Centre AI, UCPH在 uit.no 的电子邮件经过验证
Sigurd LøkseResearch Scientist at NORCE Norwegian Research Centre在 norceresearch.no 的电子邮件经过验证
Simone TotaroUdeM / Mila在 mila.quebec 的电子邮件经过验证
enzo baccarelliuniversity la sapienza of rome在 uniroma1.it 的电子邮件经过验证
Antonello RizziUniversity of Rome "La Sapienza", Information Engineering, Electronics and Telecommunications Dpt.在 uniroma1.it 的电子邮件经过验证
Claudio GallicchioTenure Track Assistant Professor at the Department of Computer Science, University of Pisa在 di.unipi.it 的电子邮件经过验证

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Simone Scardapane

Assistant Professor, Sapienza University

在 uniroma1.it 的电子邮件经过验证 - 首页

Machine Learning Signal Processing


标题按引用次数排序按年份排序按标题排序	引用次数引用次数	年份
Group sparse regularization for deep neural networks S Scardapane, D Comminiello, A Hussain, A Uncini Neurocomputing 241, 81-89, 2017	530	2017
Randomness in neural networks: an overview S Scardapane, D Wang Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery 7 (2 …, 2017	343	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	182	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	170	2020
Distributed learning for random vector functional-link networks S Scardapane, D Wang, M Panella, A Uncini Information Sciences 301, 271-284, 2015	165	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	157	2014
Missing data imputation with adversarially-trained graph convolutional networks I Spinelli, S Scardapane, A Uncini Neural Networks 129, 249-260, 2020	132	2020
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	126	2024
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
Why should we add early exits to neural networks? S Scardapane, M Scarpiniti, E Baccarelli, A Uncini Cognitive Computation 12 (5), 954-966, 2020	118	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	107	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	100	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	100	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	94	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	83	2020
Deep randomized neural networks C Gallicchio, S Scardapane Recent Trends in Learning From Data: Tutorials from the INNS Big Data and …, 2020	74	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	64	2019
Distributed semi-supervised support vector machines S Scardapane, R Fierimonte, P Di Lorenzo, M Panella, A Uncini Neural Networks 80, 43-52, 2016	62	2016
Efficient continual learning in neural networks with embedding regularization J Pomponi, S Scardapane, V Lomonaco, A Uncini Neurocomputing 397, 139-148, 2020	52	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	52	2016

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