Danilo Comminiello

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Aurelio UnciniProfessor of Electrical and Computer Engineering, Sapienza University of RomeVerified email at uniroma1.it
Michele ScarpinitiAssociate Professor, Sapienza University of RomeVerified email at uniroma1.it
Simone ScardapaneAssistant Professor, Sapienza UniversityVerified email at uniroma1.it
Raffaele ParisiProfessore AssociatoVerified email at uniroma1.it
Eleonora GrassucciAssistant Professor, Sapienza University of RomeVerified email at uniroma1.it
Luis A. Azpicueta-RuizUniversidad Carlos III de MadridVerified email at tsc.uc3m.es
Jerónimo Arenas-GarcíaUniversidad Carlos III de MadridVerified email at uc3m.es
Prof Amir HussainSchool of Computing, Edinburgh Napier University, Scotland, UKVerified email at napier.ac.uk
Eleonora LopezPhD Student in ICT, Sapienza University of RomeVerified email at uniroma1.it
Riccardo Fosco GramaccioniSapienza, University of RomeVerified email at uniroma1.it
Luigi SigilloPhD student in ICT, Sapienza Univerisity of RomeVerified email at uniroma1.it
eric guizzoPhD researcher, City University of LondonVerified email at city.ac.uk
Sergio BarbarossaSapienza University of RomeVerified email at uniroma1.it
Steven Van VaerenberghAssociate professor, University of CantabriaVerified email at unican.es
Yong-Cheol LeeAssociate Professor, Louisiana State UniversityVerified email at lsu.edu
Massimo PanellaUniversity of Rome "La Sapienza" (Dept. of Information Eng., Electronics and Telecom.)Verified email at uniroma1.it
Stefania CecchiUniversità Politecnica delle MarcheVerified email at univpm.it
Francesco PiazzaUNIVPMVerified email at univpm.it
alireza nezamdoustPhD student in ICT, Sapienza Univerisity of RomeVerified email at uniroma1.it
Aston ZhangLlama team, MetaVerified email at meta.com

Danilo Comminiello

Associate Professor at Sapienza University of Rome

Verified email at uniroma1.it - Homepage

Machine Learning Neural Networks Generative Models Adaptive Filtering Nonlinear Filtering


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Group sparse regularization for deep neural networks S Scardapane, D Comminiello, A Hussain, A Uncini Neurocomputing 241, 81-89, 2017	562	2017
Nonlinear Spline Adaptive Filtering M Scarpiniti, D Comminiello, R Parisi, A Uncini Signal Processing 93 (4), 772-783, 2013	200	2013
Functional Link Adaptive Filters for Nonlinear Acoustic Echo Cancellation D Comminiello, M Scarpiniti, LA Azpicueta-Ruiz, J Arenas-García, ... IEEE Transactions on Audio, Speech, and Language Processing 21 (7), 1502-1512, 2013	183	2013
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
Hammerstein uniform cubic spline adaptive filters: Learning and convergence properties M Scarpiniti, D Comminiello, R Parisi, A Uncini Signal Processing 100, 112-123, 2014	95	2014
Novel cascade spline architectures for the identification of nonlinear systems M Scarpiniti, D Comminiello, R Parisi, A Uncini IEEE Transactions on Circuits and Systems I: Regular Papers 62 (7), 1825-1835, 2015	93	2015
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
Adaptive learning methods for nonlinear system modeling D Comminiello, JC Príncipe Butterworth-Heinemann, 2018	72	2018
Nonlinear Acoustic Echo Cancellation Based on Sparse Functional Link Representations D Comminiello, M Scarpiniti, L Azpicueta-Ruiz, J Arenas-García, A Uncini IEEE/ACM Transactions on Audio, Speech, and Language Processing 22 (7), 1172 …, 2014	71	2014
Steady-state performance of spline adaptive filters M Scarpiniti, D Comminiello, G Scarano, R Parisi, A Uncini IEEE Transactions on Signal Processing 64 (4), 816-828, 2015	65	2015
L3DAS22 challenge: Learning 3D audio sources in a real office environment E Guizzo, C Marinoni, M Pennese, X Ren, X Zheng, C Zhang, B Masiero, ... ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and …, 2022	61	2022
Nonlinear system identification using IIR spline adaptive filters M Scarpiniti, D Comminiello, R Parisi, A Uncini Signal Processing 108, 30-35, 2015	59	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	52	2016
Deep recurrent neural networks for audio classification in construction sites M Scarpiniti, D Comminiello, A Uncini, YC Lee 2020 28th European Signal Processing Conference (EUSIPCO), 810-814, 2021	51	2021
Generative semantic communication: Diffusion models beyond bit recovery E Grassucci, S Barbarossa, D Comminiello arXiv preprint arXiv:2306.04321, 2023	45	2023
Learning activation functions from data using cubic spline interpolation S Scardapane, M Scarpiniti, D Comminiello, A Uncini Neural Advances in Processing Nonlinear Dynamic Signals 27, 73-83, 2019	44	2019
PHNNs: Lightweight neural networks via parameterized hypercomplex convolutions E Grassucci, A Zhang, D Comminiello IEEE Transactions on Neural Networks and Learning Systems, 2022	43*	2022
Quaternion generative adversarial networks E Grassucci, E Cicero, D Comminiello Generative Adversarial Learning: Architectures and Applications, 57-86, 2022	42	2022
Frequency domain quaternion adaptive filters: Algorithms and convergence performance F Ortolani, D Comminiello, M Scarpiniti, A Uncini Signal Processing 136, 69-80, 2017	40	2017
L3DAS21 challenge: Machine learning for 3D audio signal processing E Guizzo, RF Gramaccioni, S Jamili, C Marinoni, E Massaro, C Medaglia, ... 2021 IEEE 31st International Workshop on Machine Learning for Signal …, 2021	33	2021

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