| Fog of everything: Energy-efficient networked computing architectures, research challenges, and a case study E Baccarelli, PGV Naranjo, M Scarpiniti, M Shojafar, JH Abawajy IEEE access 5, 9882-9910, 2017 | 396 | 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-Garcia, ... 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 |
| Why should we add early exits to neural networks? S Scardapane, M Scarpiniti, E Baccarelli, A Uncini Cognitive Computation 12 (5), 954-966, 2020 | 139 | 2020 |
| Monitoring of marine mucilage formation in Italian seas investigated by infrared spectroscopy and independent component analysis M Mecozzi, M Pietroletti, M Scarpiniti, R Acquistucci, ME Conti Environmental monitoring and assessment 184, 6025-6036, 2012 | 113 | 2012 |
| 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 |
| Design and energy-efficient resource management of virtualized networked Fog architectures for the real-time support of IoT applications PG Vinueza Naranjo, E Baccarelli, M Scarpiniti The journal of Supercomputing 74 (6), 2470-2507, 2018 | 76 | 2018 |
| Nonlinear acoustic echo cancellation based on sparse functional link representations D Comminiello, M Scarpiniti, LA Azpicueta-Ruiz, J Arenas-García, ... 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 |
| Text independent automatic speaker recognition system using mel-frequency cepstrum coefficient and gaussian mixture models A Maesa, F Garzia, M Scarpiniti, R Cusani Journal of Information Security 3 (04), 335, 2012 | 64 | 2012 |
| 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 CNN approach for audio classification in construction sites A Maccagno, A Mastropietro, U Mazziotta, M Scarpiniti, YC Lee, A Uncini Progresses in Artificial Intelligence and Neural Systems, 371-381, 2021 | 53 | 2021 |
| 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 |
| 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 |
| Learning-in-the-fog (LiFo): Deep learning meets fog computing for the minimum-energy distributed early-exit of inference in delay-critical IoT realms E Baccarelli, M Scarpiniti, A Momenzadeh, SS Ahrabi IEEE Access 9, 25716-25757, 2021 | 42 | 2021 |
| Deep Belief Network based audio classification for construction sites monitoring M Scarpiniti, F Colasante, S Di Tanna, M Ciancia, YC Lee, A Uncini Expert Systems with Applications 177, 114839, 2021 | 40 | 2021 |
| EcoMobiFog–design and dynamic optimization of a 5G mobile-fog-cloud multi-tier ecosystem for the real-time distributed execution of stream applications E Baccarelli, M Scarpiniti, A Momenzadeh IEEE Access 7, 55565-55608, 2019 | 40 | 2019 |
Aurelio UnciniProfessor of Electrical and Computer Engineering, Sapienza University of RomeVerified email at uniroma1.it
