Michele Scarpiniti

Publication Activity (10 Years)

Years Active: 2006-2024
Publications (10 Years): 63

Top Topics

Adaptive Filter

Affine Projection

Top Venues

Publications

Alireza Momenzadeh, Enzo Baccarelli, Michele Scarpiniti, Sima Sarv Ahrabi
Multi-resolution Twinned Residual Auto-Encoders (MR-TRAE) - A Novel DL Model for Image Multi-resolution. Cogn. Comput. 16 (4) (2024)
Enzo Baccarelli, Michele Scarpiniti, Alireza Momenzadeh
Energy-minimizing 3D circular trajectory optimization of rotary-wing UAV under probabilistic path-loss in constrained hotspot environments. Veh. Commun. 46 (2024)
Enzo Baccarelli, Michele Scarpiniti, Alireza Momenzadeh
Twinned Residual Auto-Encoder (TRAE) - A new DL architecture for denoising super-resolution and task-aware feature learning from COVID-19 CT images. Expert Syst. Appl. 225 (2023)
Michele Scarpiniti, Edoardo Sigismondi, Danilo Comminiello, Aurelio Uncini
A U-Net Based Architecture for Automatic Music Transcription. MLSP (2023)
Sima Sarv Ahrabi, Alireza Momenzadeh, Enzo Baccarelli, Michele Scarpiniti, Lorenzo Piazzo
How much BiGAN and CycleGAN-learned hidden features are effective for COVID-19 detection from CT images? A comparative study. J. Supercomput. 79 (3) (2023)
Danilo Comminiello, Alireza Nezamdoust, Simone Scardapane, Michele Scarpiniti, Amir Hussain, Aurelio Uncini
A New Class of Efficient Adaptive Filters for Online Nonlinear Modeling. IEEE Trans. Syst. Man Cybern. Syst. 53 (3) (2023)
Gianfranco Di Marco, Danilo Comminiello, Michele Scarpiniti, Aurelio Uncini
Quaternion Gated Recurrent Units for Renewable Energy: Improving Power Forecasting. ICECS (2023)
Enzo Baccarelli, Michele Scarpiniti, Alireza Momenzadeh, Sima Sarv Ahrabi
erated learning for IoT stream applications. Comput. Commun. 195 (2022)
Sima Sarv Ahrabi, Lorenzo Piazzo, Alireza Momenzadeh, Michele Scarpiniti, Enzo Baccarelli
Exploiting probability density function of deep convolutional autoencoders' latent space for reliable COVID-19 detection on CT scans. J. Supercomput. 78 (9) (2022)
Enzo Baccarelli, Michele Scarpiniti, Alireza Momenzadeh, Sima Sarv Ahrabi
AFAFed - Protocol analysis. CoRR (2022)
Michele Scarpiniti, Sima Sarv Ahrabi, Enzo Baccarelli, Lorenzo Piazzo, Alireza Momenzadeh
A novel unsupervised approach based on the hidden features of Deep Denoising Autoencoders for COVID-19 disease detection. Expert Syst. Appl. 192 (2022)
Michele Scarpiniti, Cristiano Mauri, Danilo Comminiello, Aurelio Uncini, Yong-Cheol Lee
CoVal-SGAN: A Complex-Valued Spectral GAN architecture for the effective audio data augmentation in construction sites. IJCNN (2022)
Lorenzo Piazzo, Michele Scarpiniti, Enzo Baccarelli
Gomoku: analysis of the game and of the player Wine. CoRR (2021)
Danilo Comminiello, Alireza Nezamdoust, Simone Scardapane, Michele Scarpiniti, Amir Hussain, Aurelio Uncini
A New Class of Efficient Adaptive Filters for Online Nonlinear Modeling. CoRR (2021)
Enzo Baccarelli, Michele Scarpiniti, Alireza Momenzadeh, Sima Sarv Ahrabi
Learning-in-the-Fog (LiFo): Deep Learning Meets Fog Computing for the Minimum-Energy Distributed Early-Exit of Inference in Delay-Critical IoT Realms. IEEE Access 9 (2021)
Michele Scarpiniti, Francesco Colasante, Simone Di Tanna, Marco Ciancia, Yong-Cheol Lee, Aurelio Uncini
Deep Belief Network based audio classification for construction sites monitoring. Expert Syst. Appl. 177 (2021)
Sima Sarv Ahrabi, Michele Scarpiniti, Enzo Baccarelli, Alireza Momenzadeh
An Accuracy vs. Complexity Comparison of Deep Learning Architectures for the Detection of COVID-19 Disease. Comput. 9 (1) (2021)
Simone Scardapane, Danilo Comminiello, Michele Scarpiniti, Enzo Baccarelli, Aurelio Uncini
Differentiable Branching In Deep Networks for Fast Inference. ICASSP (2020)
Enzo Baccarelli, Simone Scardapane, Michele Scarpiniti, Alireza Momenzadeh, Aurelio Uncini
Optimized training and scalable implementation of Conditional Deep Neural Networks with early exits for Fog-supported IoT applications. Inf. Sci. 521 (2020)
Simone Scardapane, Michele Scarpiniti, Enzo Baccarelli, Aurelio Uncini
Why Should We Add Early Exits to Neural Networks? Cogn. Comput. 12 (5) (2020)
Yong-Cheol Lee, Michele Scarpiniti, Aurelio Uncini
Advanced Sound Classifiers and Performance Analyses for Accurate Audio-Based Construction Project Monitoring. J. Comput. Civ. Eng. 34 (5) (2020)
Antonio Falvo, Danilo Comminiello, Simone Scardapane, Michele Scarpiniti, Aurelio Uncini
A Wide Multimodal Dense U-Net for Fast Magnetic Resonance Imaging. EUSIPCO (2020)
Simone Scardapane, Michele Scarpiniti, Enzo Baccarelli, Aurelio Uncini
Why should we add early exits to neural networks? CoRR (2020)
Michele Scarpiniti, Danilo Comminiello, Aurelio Uncini, Yong-Cheol Lee
Deep Recurrent Neural Networks for Audio Classification in Construction Sites. EUSIPCO (2020)
Indro Spinelli, Simone Scardapane, Michele Scarpiniti, Aurelio Uncini
Efficient data augmentation using graph imputation neural networks. CoRR (2019)
Danilo Comminiello, Michele Scarpiniti, Luis Antonio Azpicueta-Ruiz, Aurelio Uncini
Steady-State Performance of an Adaptive Combined MISO Filter Using the Multichannel Affine Projection Algorithm. Algorithms 12 (1) (2019)
Enzo Baccarelli, Michele Scarpiniti, Alireza Momenzadeh
EcoMobiFog-Design and Dynamic Optimization of a 5G Mobile-Fog-Cloud Multi-Tier Ecosystem for the Real-Time Distributed Execution of Stream Applications. IEEE Access 7 (2019)
Danilo Comminiello, Michele Scarpiniti, Raffaele Parisi, Aurelio Uncini
Frequency-domain Adaptive Filtering: from Real to Hypercomplex Signal Processing. ICASSP (2019)
Michele Scarpiniti, Danilo Comminiello, Aurelio Uncini
Convex Combination of Spline Adaptive Filters. EUSIPCO (2019)
Enzo Baccarelli, Michele Scarpiniti, Alireza Momenzadeh
EcoMobiFog - Design and Dynamic Optimization of a 5G Mobile-Fog-Cloud Multi-Tier Ecosystem for the Real-Time Distributed Execution of Stream Applications. CoRR (2019)
Antonio Falvo, Danilo Comminiello, Simone Scardapane, Giorgio Finesi, Michele Scarpiniti, Aurelio Uncini
A Multimodal Deep Network for the Reconstruction of T2W MR Images. CoRR (2019)
Antonio Falvo, Danilo Comminiello, Simone Scardapane, Michele Scarpiniti, Aurelio Uncini
A Multimodal Dense U-Net For Accelerating Multiple Sclerosis MRI. MLSP (2019)
Michele Scarpiniti, Enzo Baccarelli, Paola Gabriela Vinueza Naranjo, Aurelio Uncini
Energy performance of heuristics and meta-heuristics for real-time joint resource scaling and consolidation in virtualized networked data centers. J. Supercomput. 74 (5) (2018)
Enzo Baccarelli, Michele Scarpiniti, Alireza Momenzadeh
Fog-supported delay-constrained energy-saving live migration of VMs over MultiPath TCP/IP 5G connections. CoRR (2018)
Danilo Comminiello, Michele Scarpiniti, Simone Scardapane, Luis Antonio Azpicueta-Ruiz, Aurelio Uncini
Combined Sparse Regularization for Nonlinear Adaptive Filters. EUSIPCO (2018)
Danilo Comminiello, Michele Scarpiniti, Simone Scardapane, Aurelio Uncini
-norm regularization. ISCAS (2018)
Enzo Baccarelli, Michele Scarpiniti, Alireza Momenzadeh
Fog-Supported Delay-Constrained Energy-Saving Live Migration of VMs Over MultiPath TCP/IP 5G Connections. IEEE Access 6 (2018)
Enzo Baccarelli, Michele Scarpiniti, Paola Gabriela Vinueza Naranjo, Leticia Vaca Cárdenas
Fog of Social IoT: When the Fog Becomes Social. IEEE Netw. 32 (4) (2018)
Paola Gabriela Vinueza Naranjo, Enzo Baccarelli, Michele Scarpiniti
Design and energy-efficient resource management of virtualized networked Fog architectures for the real-time support of IoT applications. J. Supercomput. 74 (6) (2018)
Enzo Baccarelli, Paola Gabriela Vinueza Naranjo, Mohammad Shojafar, Michele Scarpiniti
Q*: Energy and delay-efficient dynamic queue management in TCP/IP virtualized data centers. Comput. Commun. 102 (2017)
Antonio Falvo, Danilo Comminiello, Simone Scardapane, Michele Scarpiniti, Aurelio Uncini
A Multimodal Deep Network for the Reconstruction of T2W MR Images. IIH-MSP (1) (2017)
Alessandro Maccagno, Andrea Mastropietro, Umberto Mazziotta, Michele Scarpiniti, Yong-Cheol Lee, Aurelio Uncini
A CNN Approach for Audio Classification in Construction Sites. IIH-MSP (1) (2017)
Indro Spinelli, Simone Scardapane, Michele Scarpiniti, Aurelio Uncini
Efficient Data Augmentation Using Graph Imputation Neural Networks. IIH-MSP (1) (2017)
Danilo Comminiello, Michele Scarpiniti, Luis Antonio Azpicueta-Ruiz, Jerónimo Arenas-García, Aurelio Uncini
Full proportionate functional link adaptive filters for nonlinear acoustic echo cancellation. EUSIPCO (2017)
Michele Scarpiniti, Danilo Comminiello, Federico Muciaccia, Aurelio Uncini
Quaternion Widely Linear Forecasting of Air Quality. IIH-MSP (1) (2017)
Francesca Ortolani, Danilo Comminiello, Michele Scarpiniti, Aurelio Uncini
Frequency domain quaternion adaptive filters: Algorithms and convergence performance. Signal Process. 136 (2017)
Danilo Comminiello, Michele Scarpiniti, Luis Antonio Azpicueta-Ruiz, Jerónimo Arenas-García, Aurelio Uncini
Combined nonlinear filtering architectures involving sparse functional link adaptive filters. Signal Process. 135 (2017)
Enzo Baccarelli, Paola Gabriela Vinueza Naranjo, Michele Scarpiniti, Mohammad Shojafar, Jemal H. Abawajy
Fog of Everything: Energy-Efficient Networked Computing Architectures, Research Challenges, and a Case Study. IEEE Access 5 (2017)
Simone Scardapane, Danilo Comminiello, Michele Scarpiniti, Aurelio Uncini
A semi-supervised random vector functional-link network based on the transductive framework. Inf. Sci. (2016)
Vinal Patel, Danilo Comminiello, Michele Scarpiniti, Nithin V. George, Aurelio Uncini
Design of hybrid nonlinear spline adaptive filters for active noise control. IJCNN (2016)
Simone Scardapane, Michele Scarpiniti, Danilo Comminiello, Aurelio Uncini
Learning activation functions from data using cubic spline interpolation. CoRR (2016)
Simone Scardapane, Michele Scarpiniti, Danilo Comminiello, Aurelio Uncini
Diffusion spline adaptive filtering. EUSIPCO (2016)
Danilo Comminiello, Michele Scarpiniti, Luis Antonio Azpicueta-Ruiz, Jerónimo Arenas-García, Aurelio Uncini
A block-based combined scheme exploiting sparsity in nonlinear acoustic echo cancellation. MLSP (2016)
Michele Scarpiniti, Danilo Comminiello, Gaetano Scarano, Raffaele Parisi, Aurelio Uncini
Steady-State Performance of Spline Adaptive Filters. IEEE Trans. Signal Process. 64 (4) (2016)
Michele Scarpiniti, Simone Scardapane, Danilo Comminiello, Raffaele Parisi, Aurelio Uncini
Effective Blind Source Separation Based on the Adam Algorithm. CoRR (2016)
Michele Scarpiniti, Danilo Comminiello, Raffaele Parisi, Aurelio Uncini
Nonlinear system identification using IIR Spline Adaptive Filters. Signal Process. 108 (2015)
Danilo Comminiello, Michele Scarpiniti, Simone Scardapane, Raffaele Parisi, Aurelio Uncini
Improving nonlinear modeling capabilities of functional link adaptive filters. Neural Networks 69 (2015)
Michele Scarpiniti, Danilo Comminiello, Raffaele Parisi, Aurelio Uncini
Novel Cascade Spline Architectures for the Identification of Nonlinear Systems. IEEE Trans. Circuits Syst. I Regul. Pap. (7) (2015)
Simone Scardapane, Danilo Comminiello, Michele Scarpiniti, Aurelio Uncini
Online Sequential Extreme Learning Machine With Kernels. IEEE Trans. Neural Networks Learn. Syst. 26 (9) (2015)
Danilo Comminiello, Stefania Cecchi, Michele Scarpiniti, Michele Gasparini, Laura Romoli, Francesco Piazza, Aurelio Uncini
Intelligent Acoustic Interfaces With Multisensor Acquisition for Immersive Reproduction. IEEE Trans. Multim. 17 (8) (2015)
Danilo Comminiello, Michele Scarpiniti, Luis Antonio Azpicueta-Ruiz, Jerónimo Arenas-García, Aurelio Uncini
A nonlinear architecture involving a combination of proportionate functional link adaptive filters. EUSIPCO (2015)
Laura Romoli, Stefania Cecchi, Francesco Piazza, Danilo Comminiello, Michele Scarpiniti, Aurelio Uncini
An interactive optimization procedure for stereophonic acoustic echo cancellation systems. IJCNN (2015)
Danilo Comminiello, Simone Scardapane, Michele Scarpiniti, Raffaele Parisi, Aurelio Uncini
Functional link expansions for nonlinear modeling of audio and speech signals. IJCNN (2015)
Danilo Comminiello, Stefania Cecchi, Michele Gasparini, Michele Scarpiniti, Aurelio Uncini, Francesco Piazza
Advanced intelligent acoustic interfaces for multichannel audio reproduction. IJCNN (2014)
Michele Scarpiniti, Fabio Garzia
Security monitoring based on joint automatic speaker recognition and blind source separation. ICCST (2014)
Danilo Comminiello, Michele Scarpiniti, Luis Antonio Azpicueta-Ruiz, Jerónimo Arenas-García, Aurelio Uncini
Nonlinear Acoustic Echo Cancellation Based on Sparse Functional Link Representations. IEEE ACM Trans. Audio Speech Lang. Process. 22 (7) (2014)
Simone Scardapane, Danilo Comminiello, Michele Scarpiniti, Aurelio Uncini
GP-based kernel evolution for L2-Regularization Networks. IEEE Congress on Evolutionary Computation (2014)
Michele Scarpiniti, Danilo Comminiello, Raffaele Parisi, Aurelio Uncini
Hammerstein uniform cubic spline adaptive filters: Learning and convergence properties. Signal Process. 100 (2014)
Simone Scardapane, Gabriele Nocco, Danilo Comminiello, Michele Scarpiniti, Aurelio Uncini
An effective criterion for pruning reservoir's connections in Echo State Networks. IJCNN (2014)
Danilo Comminiello, Simone Scardapane, Michele Scarpiniti, Aurelio Uncini
Interactive quality enhancement in acoustic echo cancellation. TSP (2013)
Michele Scarpiniti, Danilo Comminiello, Simone Scardapane, Raffaele Parisi, Aurelio Uncini
Proportionate Algorithms for Blind Source Separation. WIRN (2013)
Danilo Comminiello, Michele Scarpiniti, Luis Antonio Azpicueta-Ruiz, Jerónimo Arenas-García, Aurelio Uncini
Functional Link Adaptive Filters for Nonlinear Acoustic Echo Cancellation. IEEE Trans. Speech Audio Process. 21 (7) (2013)
Simone Scardapane, Danilo Comminiello, Michele Scarpiniti, Aurelio Uncini
Music classification using extreme learning machines. ISPA (2013)
Simone Scardapane, Danilo Comminiello, Michele Scarpiniti, Aurelio Uncini
A Preliminary Study on Transductive Extreme Learning Machines. WIRN (2013)
Raffaele Parisi, Riccardo Russo, Michele Scarpiniti, Aurelio Uncini
Localization of audio sources by multiple binaural sensors. DSP (2013)
Michele Scarpiniti, Danilo Comminiello, Raffaele Parisi, Aurelio Uncini
Nonlinear spline adaptive filtering. Signal Process. 93 (4) (2013)
Danilo Comminiello, Michele Scarpiniti, Raffaele Parisi, Aurelio Uncini
Combined adaptive beamforming techniques for noise reduction in changing environments. TSP (2013)
Danilo Comminiello, Simone Scardapane, Michele Scarpiniti, Raffaele Parisi, Aurelio Uncini
Convex combination of MIMO filters for multichannel acoustic echo cancellation. ISPA (2013)
Danilo Comminiello, Michele Scarpiniti, Raffaele Parisi, Aurelio Uncini
Combined adaptive beamforming schemes for nonstationary interfering noise reduction. Signal Process. 93 (12) (2013)
Simone Scardapane, Danilo Comminiello, Michele Scarpiniti, Raffaele Parisi, Aurelio Uncini
PM 10 Forecasting Using Kernel Adaptive Filtering: An Italian Case Study. WIRN (2012)
Alfredo Maesa, Fabio Garzia, Michele Scarpiniti, Roberto Cusani
Text Independent Automatic Speaker Recognition System Using Mel-Frequency Cepstrum Coefficient and Gaussian Mixture Models. J. Information Security 3 (4) (2012)
Raffaele Parisi, Flavia Camoes, Michele Scarpiniti, Aurelio Uncini
Cepstrum Prefiltering for Binaural Source Localization in Reverberant Environments. IEEE Signal Process. Lett. 19 (2) (2012)
Michele Scarpiniti, Danilo Comminiello, Raffaele Parisi, Aurelio Uncini
A Collaborative Filter Approach to Adaptive Noise Cancellation. WIRN (2012)
Michele Scarpiniti, Danilo Comminiello, Raffaele Parisi, Aurelio Uncini
Comparison of Hammerstein and Wiener systems for nonlinear acoustic echo cancelers in reverberant environments. DSP (2011)
Michele Scarpiniti, Danilo Comminiello, Raffaele Parisi, Aurelio Uncini
A Collaborative Approach to Time-Series Prediction. WIRN (2011)
Michele Scarpiniti, Francesco Di Palma, Raffaele Parisi, Aurelio Uncini
A Geometrically Constrained ICA Algorithm for Blind Separation in Convolutive Environments. WIRN (2010)
Michele Scarpiniti, Gabriele Bunkheila, Raffaele Parisi, Aurelio Uncini
A Pre-Filtering and Post-Filtering Approach to Blind Source Separation. WIRN (2010)
Albenzio Cirillo, Raffaele Parisi, Michele Scarpiniti, Aurelio Uncini
Simplified optimal line selection for acoustic localization in the presence of reverberation. EUSIPCO (2010)
Danilo Comminiello, Michele Scarpiniti, Raffaele Parisi, Aurelio Uncini
A novel affine projection algorithm for superdirective microphone array beamforming. ISCAS (2010)
Michele Scarpiniti, Andrea Picaro, Raffaele Parisi, Aurelio Uncini
A Partitioned Frequency Block Algorithm for Blind Separation in Reverberant Environments. WIRN (2009)
Gabriele Bunkheila, Michele Scarpiniti, Raffaele Parisi, Aurelio Uncini
Stereo acoustical echo cancellation based on common poles. DPS (2009)
Michele Scarpiniti, Daniele Vigliano, Raffaele Parisi, Aurelio Uncini
Generalized splitting functions for blind separation of complex signals. Neurocomputing 71 (10-12) (2008)
Michele Scarpiniti, Daniele Vigliano, Raffaele Parisi, Aurelio Uncini
A Flexible Natural Gradient Approach to Blind Separation of Complex Signals. WIRN (2008)
Daniele Vigliano, Michele Scarpiniti, Raffaele Parisi, Aurelio Uncini
Flexible Nonlinear Blind Signal Separation in the Complex Domain. Int. J. Neural Syst. 18 (2) (2008)
Michele Scarpiniti, Daniele Vigliano, Raffaele Parisi, Aurelio Uncini
Generalized Flexible Splitting Function Outperforms Classical Approaches in Blind Signal Separation of Complex Environment. DSP (2007)
Daniele Vigliano, Michele Scarpiniti, Raffaele Parisi, Aurelio Uncini
Flexible ICA approach to the nonlinear blind signal separation in the complex domain. EUSIPCO (2006)