Michele Scarpiniti

114 papers B 9C 4Misc 2Journal 50Unranked 36
YearRankTypeTitle / Venue / Authors
2026 J jnl
The IJCNN 2025 Review Process.
CoRR
Michele Scarpiniti, Danilo Comminiello
2025 B conf
EfficientAudioNet: Enhancing Environmental Sound Classification through Data Fusion of Multiple Audio Representations.
IJCNN
Michele Scarpiniti, Saud Hussain, Wangyi Pu, Aurelio Uncini, Yong-Cheol Lee
2025 B conf
Post-earthquake Damage Assessment of Buildings Exploiting Data Fusion.
IJCNN
Simone Saquella, Michele Scarpiniti, Wangyi Pu, Livio Pedone, Giulia Angelucci, Michele Matteoni, Mattia Francioli, Stefano Pampanin
2024 J jnl
Energy-minimizing 3D circular trajectory optimization of rotary-wing UAV under probabilistic path-loss in constrained hotspot environments.
Veh. Commun.
Enzo Baccarelli, Michele Scarpiniti, Alireza Momenzadeh
2024 J jnl
Multi-resolution Twinned Residual Auto-Encoders (MR-TRAE) - A Novel DL Model for Image Multi-resolution.
Cogn. Comput.
Alireza Momenzadeh, Enzo Baccarelli, Michele Scarpiniti, Sima Sarv Ahrabi
2024 — conf
Spline Adaptive Exponential Functional Link Filter for Nonlinear Acoustic Echo Cancellation.
EUSIPCO
Alireza Nezamdoust, Michele Scarpiniti, Aurelio Uncini, Danilo Comminiello
2023 — ed.
33rd IEEE International Workshop on Machine Learning for Signal Processing, MLSP 2023, Rome, Italy, September 17-20, 2023
MLSP
Danilo Comminiello, Michele Scarpiniti
2023 J jnl
A New Class of Efficient Adaptive Filters for Online Nonlinear Modeling.
IEEE Trans. Syst. Man Cybern. Syst.
Danilo Comminiello, Alireza Nezamdoust, Simone Scardapane, Michele Scarpiniti, Amir Hussain, Aurelio Uncini
2023 — conf
A Two-Stage Neural Network for Speech Signal Reconstruction from Mel Spectrograms.
WIRN
Filippo Villani, Michele Scarpiniti, Aurelio Uncini
2023 — conf
A U-Net Based Architecture for Automatic Music Transcription.
MLSP
Michele Scarpiniti, Edoardo Sigismondi, Danilo Comminiello, Aurelio Uncini
2023 — conf
Deep Echo State Network for Environmental Sound Classification.
WIRN
Michele Scarpiniti, Sofia Perticarà, Yong-Cheol Lee, Aurelio Uncini
2023 J jnl
How much BiGAN and CycleGAN-learned hidden features are effective for COVID-19 detection from CT images? A comparative study.
J. Supercomput.
Sima Sarv Ahrabi, Alireza Momenzadeh, Enzo Baccarelli, Michele Scarpiniti, Lorenzo Piazzo
2023 — conf
Quaternion Gated Recurrent Units for Renewable Energy: Improving Power Forecasting.
ICECS
Gianfranco Di Marco, Danilo Comminiello, Michele Scarpiniti, Aurelio Uncini
2023 J jnl
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.
Enzo Baccarelli, Michele Scarpiniti, Alireza Momenzadeh
2022 J jnl
A novel unsupervised approach based on the hidden features of Deep Denoising Autoencoders for COVID-19 disease detection.
Expert Syst. Appl.
Michele Scarpiniti, Sima Sarv Ahrabi, Enzo Baccarelli, Lorenzo Piazzo, Alireza Momenzadeh
2022 J jnl
AFAFed - Protocol analysis.
CoRR
Enzo Baccarelli, Michele Scarpiniti, Alireza Momenzadeh, Sima Sarv Ahrabi
2022 B conf
CoVal-SGAN: A Complex-Valued Spectral GAN architecture for the effective audio data augmentation in construction sites.
IJCNN
Michele Scarpiniti, Cristiano Mauri, Danilo Comminiello, Aurelio Uncini, Yong-Cheol Lee
2022 J jnl
Exploiting probability density function of deep convolutional autoencoders' latent space for reliable COVID-19 detection on CT scans.
J. Supercomput.
Sima Sarv Ahrabi, Lorenzo Piazzo, Alireza Momenzadeh, Michele Scarpiniti, Enzo Baccarelli
2021 J jnl
A New Class of Efficient Adaptive Filters for Online Nonlinear Modeling.
CoRR
Danilo Comminiello, Alireza Nezamdoust, Simone Scardapane, Michele Scarpiniti, Amir Hussain, Aurelio Uncini
2021 J jnl
An Accuracy vs. Complexity Comparison of Deep Learning Architectures for the Detection of COVID-19 Disease.
Comput.
Sima Sarv Ahrabi, Michele Scarpiniti, Enzo Baccarelli, Alireza Momenzadeh
2021 J jnl
Deep Belief Network based audio classification for construction sites monitoring.
Expert Syst. Appl.
Michele Scarpiniti, Francesco Colasante, Simone Di Tanna, Marco Ciancia, Yong-Cheol Lee, Aurelio Uncini
2021 J jnl
Gomoku: analysis of the game and of the player Wine.
CoRR
Lorenzo Piazzo, Michele Scarpiniti, Enzo Baccarelli
2021 J jnl
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
Enzo Baccarelli, Michele Scarpiniti, Alireza Momenzadeh, Sima Sarv Ahrabi
2020 — ch.
A Low-Complexity Linear-in-the-Parameters Nonlinear Filter for Distorted Speech Signals.
Neural Advances in Processing Nonlinear Dynamic Signals
Danilo Comminiello, Michele Scarpiniti, Simone Scardapane, Raffaele Parisi, Aurelio Uncini
2020 — conf
A Wide Multimodal Dense U-Net for Fast Magnetic Resonance Imaging.
EUSIPCO
Antonio Falvo, Danilo Comminiello, Simone Scardapane, Michele Scarpiniti, Aurelio Uncini
2020 J jnl
Advanced Sound Classifiers and Performance Analyses for Accurate Audio-Based Construction Project Monitoring.
J. Comput. Civ. Eng.
Yong-Cheol Lee, Michele Scarpiniti, Aurelio Uncini
2020 — conf
Deep Recurrent Neural Networks for Audio Classification in Construction Sites.
EUSIPCO
Michele Scarpiniti, Danilo Comminiello, Aurelio Uncini, Yong-Cheol Lee
2020 Misc conf
Differentiable Branching In Deep Networks for Fast Inference.
ICASSP
Simone Scardapane, Danilo Comminiello, Michele Scarpiniti, Enzo Baccarelli, Aurelio Uncini
2020 — ch.
Learning Activation Functions from Data Using Cubic Spline Interpolation.
Neural Advances in Processing Nonlinear Dynamic Signals
Simone Scardapane, Michele Scarpiniti, Danilo Comminiello, Aurelio Uncini
2020 — ch.
Music Genre Classification Using Stacked Auto-Encoders.
Neural Approaches to Dynamics of Signal Exchanges
Michele Scarpiniti, Simone Scardapane, Danilo Comminiello, Aurelio Uncini
2020 — ch.
On 4-Dimensional Hypercomplex Algebras in Adaptive Signal Processing.
Neural Advances in Processing Nonlinear Dynamic Signals
Francesca Ortolani, Danilo Comminiello, Michele Scarpiniti, Aurelio Uncini
2020 J jnl
Optimized training and scalable implementation of Conditional Deep Neural Networks with early exits for Fog-supported IoT applications.
Inf. Sci.
Enzo Baccarelli, Simone Scardapane, Michele Scarpiniti, Alireza Momenzadeh, Aurelio Uncini
2020 — ch.
Separation of Drum and Bass from Monaural Tracks.
Neural Advances in Processing Nonlinear Dynamic Signals
Michele Scarpiniti, Simone Scardapane, Danilo Comminiello, Raffaele Parisi, Aurelio Uncini
2020 J jnl
Why Should We Add Early Exits to Neural Networks?
Cogn. Comput.
Simone Scardapane, Michele Scarpiniti, Enzo Baccarelli, Aurelio Uncini
2020 J jnl
Why should we add early exits to neural networks?
CoRR
Simone Scardapane, Michele Scarpiniti, Enzo Baccarelli, Aurelio Uncini
2019 J jnl
A Multimodal Deep Network for the Reconstruction of T2W MR Images.
CoRR
Antonio Falvo, Danilo Comminiello, Simone Scardapane, Giorgio Finesi, Michele Scarpiniti, Aurelio Uncini
2019 — conf
A Multimodal Dense U-Net For Accelerating Multiple Sclerosis MRI.
MLSP
Antonio Falvo, Danilo Comminiello, Simone Scardapane, Michele Scarpiniti, Aurelio Uncini
2019 — conf
Convex Combination of Spline Adaptive Filters.
EUSIPCO
Michele Scarpiniti, Danilo Comminiello, Aurelio Uncini
2019 J jnl
EcoMobiFog - Design and Dynamic Optimization of a 5G Mobile-Fog-Cloud Multi-Tier Ecosystem for the Real-Time Distributed Execution of Stream Applications.
CoRR
Enzo Baccarelli, Michele Scarpiniti, Alireza Momenzadeh
2019 J jnl
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
Enzo Baccarelli, Michele Scarpiniti, Alireza Momenzadeh
2019 J jnl
Efficient data augmentation using graph imputation neural networks.
CoRR
Indro Spinelli, Simone Scardapane, Michele Scarpiniti, Aurelio Uncini
2019 Misc conf
Frequency-domain Adaptive Filtering: from Real to Hypercomplex Signal Processing.
ICASSP
Danilo Comminiello, Michele Scarpiniti, Raffaele Parisi, Aurelio Uncini
2019 J jnl
Steady-State Performance of an Adaptive Combined MISO Filter Using the Multichannel Affine Projection Algorithm.
Algorithms
Danilo Comminiello, Michele Scarpiniti, Luis Antonio Azpicueta-Ruiz, Aurelio Uncini
2018 — conf
Combined Sparse Regularization for Nonlinear Adaptive Filters.
EUSIPCO
Danilo Comminiello, Michele Scarpiniti, Simone Scardapane, Luis Antonio Azpicueta-Ruiz, Aurelio Uncini
2018 J jnl
Design and energy-efficient resource management of virtualized networked Fog architectures for the real-time support of IoT applications.
J. Supercomput.
Paola Gabriela Vinueza Naranjo, Enzo Baccarelli, Michele Scarpiniti
2018 — ch.
Effective Blind Source Separation Based on the Adam Algorithm.
Multidisciplinary Approaches to Neural Computing
Michele Scarpiniti, Simone Scardapane, Danilo Comminiello, Raffaele Parisi, Aurelio Uncini
2018 J jnl
Energy performance of heuristics and meta-heuristics for real-time joint resource scaling and consolidation in virtualized networked data centers.
J. Supercomput.
Michele Scarpiniti, Enzo Baccarelli, Paola Gabriela Vinueza Naranjo, Aurelio Uncini
2018 J jnl
Fog of Social IoT: When the Fog Becomes Social.
IEEE Netw.
Enzo Baccarelli, Michele Scarpiniti, Paola Gabriela Vinueza Naranjo, Leticia Vaca Cárdenas
2018 J jnl
Fog-Supported Delay-Constrained Energy-Saving Live Migration of VMs Over MultiPath TCP/IP 5G Connections.
IEEE Access
Enzo Baccarelli, Michele Scarpiniti, Alireza Momenzadeh
2018 J jnl
Fog-supported delay-constrained energy-saving live migration of VMs over MultiPath TCP/IP 5G connections.
CoRR
Enzo Baccarelli, Michele Scarpiniti, Alireza Momenzadeh
2018 C conf
Sparse functional link adaptive filter using an ℓ
ISCAS
Danilo Comminiello, Michele Scarpiniti, Simone Scardapane, Aurelio Uncini
2017 — conf
A CNN Approach for Audio Classification in Construction Sites.
IIH-MSP (1)
Alessandro Maccagno, Andrea Mastropietro, Umberto Mazziotta, Michele Scarpiniti, Yong-Cheol Lee, Aurelio Uncini
2017 — conf
A Multimodal Deep Network for the Reconstruction of T2W MR Images.
IIH-MSP (1)
Antonio Falvo, Danilo Comminiello, Simone Scardapane, Michele Scarpiniti, Aurelio Uncini
2017 J jnl
Combined nonlinear filtering architectures involving sparse functional link adaptive filters.
Signal Process.
Danilo Comminiello, Michele Scarpiniti, Luis Antonio Azpicueta-Ruiz, Jerónimo Arenas-García, Aurelio Uncini
2017 — conf
Efficient Data Augmentation Using Graph Imputation Neural Networks.
IIH-MSP (1)
Indro Spinelli, Simone Scardapane, Michele Scarpiniti, Aurelio Uncini
2017 J jnl
Fog of Everything: Energy-Efficient Networked Computing Architectures, Research Challenges, and a Case Study.
IEEE Access
Enzo Baccarelli, Paola Gabriela Vinueza Naranjo, Michele Scarpiniti, Mohammad Shojafar, Jemal H. Abawajy
2017 J jnl
Frequency domain quaternion adaptive filters: Algorithms and convergence performance.
Signal Process.
Francesca Ortolani, Danilo Comminiello, Michele Scarpiniti, Aurelio Uncini
2017 — conf
Full proportionate functional link adaptive filters for nonlinear acoustic echo cancellation.
EUSIPCO
Danilo Comminiello, Michele Scarpiniti, Luis Antonio Azpicueta-Ruiz, Jerónimo Arenas-García, Aurelio Uncini
2017 J jnl
Q*: Energy and delay-efficient dynamic queue management in TCP/IP virtualized data centers.
Comput. Commun.
Enzo Baccarelli, Paola Gabriela Vinueza Naranjo, Mohammad Shojafar, Michele Scarpiniti
2017 — conf
Quaternion Widely Linear Forecasting of Air Quality.
IIH-MSP (1)
Michele Scarpiniti, Danilo Comminiello, Federico Muciaccia, Aurelio Uncini
2016 — ch.
A Nonlinear Acoustic Echo Canceller with Improved Tracking Capabilities.
Recent Advances in Nonlinear Speech Processing
Danilo Comminiello, Michele Scarpiniti, Simone Scardapane, Raffaele Parisi, Aurelio Uncini
2016 — conf
A block-based combined scheme exploiting sparsity in nonlinear acoustic echo cancellation.
MLSP
Danilo Comminiello, Michele Scarpiniti, Luis Antonio Azpicueta-Ruiz, Jerónimo Arenas-García, Aurelio Uncini
2016 J jnl
A semi-supervised random vector functional-link network based on the transductive framework.
Inf. Sci.
Simone Scardapane, Danilo Comminiello, Michele Scarpiniti, Aurelio Uncini
2016 — ch.
Benchmarking Functional Link Expansions for Audio Classification Tasks.
Advances in Neural Networks
Simone Scardapane, Danilo Comminiello, Michele Scarpiniti, Raffaele Parisi, Aurelio Uncini
2016 B conf
Design of hybrid nonlinear spline adaptive filters for active noise control.
IJCNN
Vinal Patel, Danilo Comminiello, Michele Scarpiniti, Nithin V. George, Aurelio Uncini
2016 — conf
Diffusion spline adaptive filtering.
EUSIPCO
Simone Scardapane, Michele Scarpiniti, Danilo Comminiello, Aurelio Uncini
2016 J jnl
Effective Blind Source Separation Based on the Adam Algorithm.
CoRR
Michele Scarpiniti, Simone Scardapane, Danilo Comminiello, Raffaele Parisi, Aurelio Uncini
2016 — ch.
Frequency-Domain Adaptive Filtering in Hypercomplex Systems.
Advances in Neural Networks
Francesca Ortolani, Danilo Comminiello, Michele Scarpiniti, Aurelio Uncini
2016 J jnl
Learning activation functions from data using cubic spline interpolation.
CoRR
Simone Scardapane, Michele Scarpiniti, Danilo Comminiello, Aurelio Uncini
2016 J jnl
Steady-State Performance of Spline Adaptive Filters.
IEEE Trans. Signal Process.
Michele Scarpiniti, Danilo Comminiello, Gaetano Scarano, Raffaele Parisi, Aurelio Uncini
2015 — conf
A nonlinear architecture involving a combination of proportionate functional link adaptive filters.
EUSIPCO
Danilo Comminiello, Michele Scarpiniti, Luis Antonio Azpicueta-Ruiz, Jerónimo Arenas-García, Aurelio Uncini
2015 B conf
An interactive optimization procedure for stereophonic acoustic echo cancellation systems.
IJCNN
Laura Romoli, Stefania Cecchi, Francesco Piazza, Danilo Comminiello, Michele Scarpiniti, Aurelio Uncini
2015 B conf
Functional link expansions for nonlinear modeling of audio and speech signals.
IJCNN
Danilo Comminiello, Simone Scardapane, Michele Scarpiniti, Raffaele Parisi, Aurelio Uncini
2015 J jnl
Improving nonlinear modeling capabilities of functional link adaptive filters.
Neural Networks
Danilo Comminiello, Michele Scarpiniti, Simone Scardapane, Raffaele Parisi, Aurelio Uncini
2015 — ch.
Integration of Audio and Video Clues for Source Localization by a Robotic Head.
Advances in Neural Networks
Raffaele Parisi, Danilo Comminiello, Michele Scarpiniti, Aurelio Uncini
2015 J jnl
Intelligent Acoustic Interfaces With Multisensor Acquisition for Immersive Reproduction.
IEEE Trans. Multim.
Danilo Comminiello, Stefania Cecchi, Michele Scarpiniti, Michele Gasparini, Laura Romoli, Francesco Piazza, Aurelio Uncini
2015 J jnl
Nonlinear system identification using IIR Spline Adaptive Filters.
Signal Process.
Michele Scarpiniti, Danilo Comminiello, Raffaele Parisi, Aurelio Uncini
2015 J jnl
Novel Cascade Spline Architectures for the Identification of Nonlinear Systems.
IEEE Trans. Circuits Syst. I Regul. Pap.
Michele Scarpiniti, Danilo Comminiello, Raffaele Parisi, Aurelio Uncini
2015 — ch.
Online Selection of Functional Links for Nonlinear System Identification.
Advances in Neural Networks
Danilo Comminiello, Simone Scardapane, Michele Scarpiniti, Raffaele Parisi, Aurelio Uncini
2015 J jnl
Online Sequential Extreme Learning Machine With Kernels.
IEEE Trans. Neural Networks Learn. Syst.
Simone Scardapane, Danilo Comminiello, Michele Scarpiniti, Aurelio Uncini
2015 — ch.
Significance-Based Pruning for Reservoir's Neurons in Echo State Networks.
Advances in Neural Networks
Simone Scardapane, Danilo Comminiello, Michele Scarpiniti, Aurelio Uncini
2014 B conf
Advanced intelligent acoustic interfaces for multichannel audio reproduction.
IJCNN
Danilo Comminiello, Stefania Cecchi, Michele Gasparini, Michele Scarpiniti, Aurelio Uncini, Francesco Piazza
2014 B conf
An effective criterion for pruning reservoir's connections in Echo State Networks.
IJCNN
Simone Scardapane, Gabriele Nocco, Danilo Comminiello, Michele Scarpiniti, Aurelio Uncini
2014 B conf
GP-based kernel evolution for L2-Regularization Networks.
IEEE Congress on Evolutionary Computation
Simone Scardapane, Danilo Comminiello, Michele Scarpiniti, Aurelio Uncini
2014 J jnl
Hammerstein uniform cubic spline adaptive filters: Learning and convergence properties.
Signal Process.
Michele Scarpiniti, Danilo Comminiello, Raffaele Parisi, Aurelio Uncini
2014 J jnl
Nonlinear Acoustic Echo Cancellation Based on Sparse Functional Link Representations.
IEEE ACM Trans. Audio Speech Lang. Process.
Danilo Comminiello, Michele Scarpiniti, Luis Antonio Azpicueta-Ruiz, Jerónimo Arenas-García, Aurelio Uncini
2014 — conf
Security monitoring based on joint automatic speaker recognition and blind source separation.
ICCST
Michele Scarpiniti, Fabio Garzia
2013 — conf
A Preliminary Study on Transductive Extreme Learning Machines.
WIRN
Simone Scardapane, Danilo Comminiello, Michele Scarpiniti, Aurelio Uncini
2013 J jnl
Combined adaptive beamforming schemes for nonstationary interfering noise reduction.
Signal Process.
Danilo Comminiello, Michele Scarpiniti, Raffaele Parisi, Aurelio Uncini
2013 — conf
Combined adaptive beamforming techniques for noise reduction in changing environments.
TSP
Danilo Comminiello, Michele Scarpiniti, Raffaele Parisi, Aurelio Uncini
2013 C conf
Convex combination of MIMO filters for multichannel acoustic echo cancellation.
ISPA
Danilo Comminiello, Simone Scardapane, Michele Scarpiniti, Raffaele Parisi, Aurelio Uncini
2013 J jnl
Functional Link Adaptive Filters for Nonlinear Acoustic Echo Cancellation.
IEEE Trans. Speech Audio Process.
Danilo Comminiello, Michele Scarpiniti, Luis Antonio Azpicueta-Ruiz, Jerónimo Arenas-García, Aurelio Uncini
2013 — conf
Interactive quality enhancement in acoustic echo cancellation.
TSP
Danilo Comminiello, Simone Scardapane, Michele Scarpiniti, Aurelio Uncini
2013 — conf
Localization of audio sources by multiple binaural sensors.
DSP
Raffaele Parisi, Riccardo Russo, Michele Scarpiniti, Aurelio Uncini
2013 C conf
Music classification using extreme learning machines.
ISPA
Simone Scardapane, Danilo Comminiello, Michele Scarpiniti, Aurelio Uncini
2013 J jnl
Nonlinear spline adaptive filtering.
Signal Process.
Michele Scarpiniti, Danilo Comminiello, Raffaele Parisi, Aurelio Uncini
2013 — conf
Proportionate Algorithms for Blind Source Separation.
WIRN
Michele Scarpiniti, Danilo Comminiello, Simone Scardapane, Raffaele Parisi, Aurelio Uncini
2012 — conf
A Collaborative Filter Approach to Adaptive Noise Cancellation.
WIRN
Michele Scarpiniti, Danilo Comminiello, Raffaele Parisi, Aurelio Uncini
2012 J jnl
Cepstrum Prefiltering for Binaural Source Localization in Reverberant Environments.
IEEE Signal Process. Lett.
Raffaele Parisi, Flavia Camoes, Michele Scarpiniti, Aurelio Uncini
2012 — conf
PM 10 Forecasting Using Kernel Adaptive Filtering: An Italian Case Study.
WIRN
Simone Scardapane, Danilo Comminiello, Michele Scarpiniti, Raffaele Parisi, Aurelio Uncini
2012 J jnl
Text Independent Automatic Speaker Recognition System Using Mel-Frequency Cepstrum Coefficient and Gaussian Mixture Models.
J. Information Security
Alfredo Maesa, Fabio Garzia, Michele Scarpiniti, Roberto Cusani
2011 — conf
A Collaborative Approach to Time-Series Prediction.
WIRN
Michele Scarpiniti, Danilo Comminiello, Raffaele Parisi, Aurelio Uncini
2011 — conf
Comparison of Hammerstein and Wiener systems for nonlinear acoustic echo cancelers in reverberant environments.
DSP
Michele Scarpiniti, Danilo Comminiello, Raffaele Parisi, Aurelio Uncini
2010 — conf
A Geometrically Constrained ICA Algorithm for Blind Separation in Convolutive Environments.
WIRN
Michele Scarpiniti, Francesco Di Palma, Raffaele Parisi, Aurelio Uncini
2010 — conf
A Pre-Filtering and Post-Filtering Approach to Blind Source Separation.
WIRN
Michele Scarpiniti, Gabriele Bunkheila, Raffaele Parisi, Aurelio Uncini
2010 C conf
A novel affine projection algorithm for superdirective microphone array beamforming.
ISCAS
Danilo Comminiello, Michele Scarpiniti, Raffaele Parisi, Aurelio Uncini
2010 — conf
Simplified optimal line selection for acoustic localization in the presence of reverberation.
EUSIPCO
Albenzio Cirillo, Raffaele Parisi, Michele Scarpiniti, Aurelio Uncini
2009 — conf
A Partitioned Frequency Block Algorithm for Blind Separation in Reverberant Environments.
WIRN
Michele Scarpiniti, Andrea Picaro, Raffaele Parisi, Aurelio Uncini
2009 — conf
Stereo acoustical echo cancellation based on common poles.
DPS
Gabriele Bunkheila, Michele Scarpiniti, Raffaele Parisi, Aurelio Uncini
2008 — conf
A Flexible Natural Gradient Approach to Blind Separation of Complex Signals.
WIRN
Michele Scarpiniti, Daniele Vigliano, Raffaele Parisi, Aurelio Uncini
2008 J jnl
Flexible Nonlinear Blind Signal Separation in the Complex Domain.
Int. J. Neural Syst.
Daniele Vigliano, Michele Scarpiniti, Raffaele Parisi, Aurelio Uncini
2008 J jnl
Generalized splitting functions for blind separation of complex signals.
Neurocomputing
Michele Scarpiniti, Daniele Vigliano, Raffaele Parisi, Aurelio Uncini
2007 — conf
Generalized Flexible Splitting Function Outperforms Classical Approaches in Blind Signal Separation of Complex Environment.
DSP
Michele Scarpiniti, Daniele Vigliano, Raffaele Parisi, Aurelio Uncini
2006 — conf
Flexible ICA approach to the nonlinear blind signal separation in the complex domain.
EUSIPCO
Daniele Vigliano, Michele Scarpiniti, Raffaele Parisi, Aurelio Uncini