| Group sparse regularization for deep neural networks S Scardapane, D Comminiello, A Hussain, A Uncini Neurocomputing 241, 81-89, 2017 | 628 | 2017 |
| Nonlinear Spline Adaptive Filtering M Scarpiniti, D Comminiello, R Parisi, A Uncini Signal Processing 93 (4), 772-783, 2013 | 224 | 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 | 205 | 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 | 170 | 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 | 111 | 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 | 107 | 2015 |
| Generative semantic communication: Diffusion models beyond bit recovery E Grassucci, S Barbarossa, D Comminiello arXiv preprint arXiv:2306.04321, 2023 | 99 | 2023 |
| 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 | 88 | 2019 |
| Adaptive learning methods for nonlinear system modeling D Comminiello, JC Príncipe Butterworth-Heinemann, 2018 | 83 | 2018 |
| 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 | 77 | 2022 |
| 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 | 73 | 2015 |
| 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 | 73 | 2014 |
| 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 | 68 | 2021 |
| Nonlinear system identification using IIR spline adaptive filters M Scarpiniti, D Comminiello, R Parisi, A Uncini Signal Processing 108, 30-35, 2015 | 67 | 2015 |
| PHNNs: Lightweight neural networks via parameterized hypercomplex convolutions E Grassucci, A Zhang, D Comminiello IEEE Transactions on Neural Networks and Learning Systems 35 (6), 8293-8305, 2022 | 62* | 2022 |
| 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 | 54 | 2016 |
| Learning activation functions from data using cubic spline interpolation S Scardapane, M Scarpiniti, D Comminiello, A Uncini Italian Workshop on Neural Nets, 73-83, 2017 | 53 | 2017 |
| Diffusion models for audio semantic communication E Grassucci, C Marinoni, A Rodriguez, D Comminiello ICASSP 2024-2024 IEEE International Conference on Acoustics, Speech and …, 2024 | 51 | 2024 |
| Quaternion generative adversarial networks E Grassucci, E Cicero, D Comminiello Generative Adversarial Learning: Architectures and Applications, 57-86, 2022 | 50 | 2022 |
| Frequency domain quaternion adaptive filters: Algorithms and convergence performance F Ortolani, D Comminiello, M Scarpiniti, A Uncini Signal Processing 136, 69-80, 2017 | 49 | 2017 |
Aurelio UnciniProfessor of Electrical and Computer Engineering, Sapienza University of RomeVerified email at uniroma1.it
