Michele Scarpiniti

According to our database, Michele Scarpiniti authored at least 104 papers between 2006 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Multi-resolution Twinned Residual Auto-Encoders (MR-TRAE) - A Novel DL Model for Image Multi-resolution.

Alireza Momenzadeh, Enzo Baccarelli, Michele Scarpiniti, Sima Sarv Ahrabi

Cogn. Comput., July, 2024

Energy-minimizing 3D circular trajectory optimization of rotary-wing UAV under probabilistic path-loss in constrained hotspot environments.

Enzo Baccarelli, Michele Scarpiniti, Alireza Momenzadeh

Veh. Commun., 2024

Spline Adaptive Exponential Functional Link Filter for Nonlinear Acoustic Echo Cancellation.

Alireza Nezamdoust, Michele Scarpiniti, Aurelio Uncini, Danilo Comminiello

Proceedings of the 32nd European Signal Processing Conference, 2024

2023

Twinned Residual Auto-Encoder (TRAE) - A new DL architecture for denoising super-resolution and task-aware feature learning from COVID-19 CT images.

Enzo Baccarelli, Michele Scarpiniti, Alireza Momenzadeh

Expert Syst. Appl., September, 2023

A New Class of Efficient Adaptive Filters for Online Nonlinear Modeling.

Danilo Comminiello, Alireza Nezamdoust, Simone Scardapane, Michele Scarpiniti, Amir Hussain, Aurelio Uncini

IEEE Trans. Syst. Man Cybern. Syst., March, 2023

How much BiGAN and CycleGAN-learned hidden features are effective for COVID-19 detection from CT images? A comparative study.

Sima Sarv Ahrabi, Alireza Momenzadeh, Enzo Baccarelli, Michele Scarpiniti, Lorenzo Piazzo

J. Supercomput., 2023

A U-Net Based Architecture for Automatic Music Transcription.

Michele Scarpiniti, Edoardo Sigismondi, Danilo Comminiello, Aurelio Uncini

Proceedings of the 33rd IEEE International Workshop on Machine Learning for Signal Processing, 2023

Quaternion Gated Recurrent Units for Renewable Energy: Improving Power Forecasting.

Gianfranco Di Marco, Danilo Comminiello, Michele Scarpiniti, Aurelio Uncini

Proceedings of the 30th IEEE International Conference on Electronics, Circuits and Systems, 2023

2022

Exploiting probability density function of deep convolutional autoencoders' latent space for reliable COVID-19 detection on CT scans.

Sima Sarv Ahrabi, Lorenzo Piazzo, Alireza Momenzadeh, Michele Scarpiniti, Enzo Baccarelli

J. Supercomput., 2022

A novel unsupervised approach based on the hidden features of Deep Denoising Autoencoders for COVID-19 disease detection.

Michele Scarpiniti, Sima Sarv Ahrabi, Enzo Baccarelli, Lorenzo Piazzo, Alireza Momenzadeh

Expert Syst. Appl., 2022

AFAFed - Protocol analysis.

Enzo Baccarelli, Michele Scarpiniti, Alireza Momenzadeh, Sima Sarv Ahrabi

CoRR, 2022

<i>AFAFed</i> - <i>A</i>synchronous <i>F</i>air <i>A</i>daptive <i>Fed</i>erated learning for IoT stream applications.

Enzo Baccarelli, Michele Scarpiniti, Alireza Momenzadeh, Sima Sarv Ahrabi

Comput. Commun., 2022

CoVal-SGAN: A Complex-Valued Spectral GAN architecture for the effective audio data augmentation in construction sites.

Michele Scarpiniti, Cristiano Mauri, Danilo Comminiello, Aurelio Uncini, Yong-Cheol Lee

Proceedings of the International Joint Conference on Neural Networks, 2022

2021

Deep Belief Network based audio classification for construction sites monitoring.

Michele Scarpiniti, Francesco Colasante, Simone Di Tanna, Marco Ciancia, Yong-Cheol Lee, Aurelio Uncini

Expert Syst. Appl., 2021

Gomoku: analysis of the game and of the player Wine.

Lorenzo Piazzo, Michele Scarpiniti, Enzo Baccarelli

CoRR, 2021

An Accuracy vs. Complexity Comparison of Deep Learning Architectures for the Detection of COVID-19 Disease.

Sima Sarv Ahrabi, Michele Scarpiniti, Enzo Baccarelli, Alireza Momenzadeh

Comput., 2021

Learning-in-the-Fog (LiFo): Deep Learning Meets Fog Computing for the Minimum-Energy Distributed Early-Exit of Inference in Delay-Critical IoT Realms.

Enzo Baccarelli, Michele Scarpiniti, Alireza Momenzadeh, Sima Sarv Ahrabi

IEEE Access, 2021

2020

Music Genre Classification Using Stacked Auto-Encoders.

Michele Scarpiniti, Simone Scardapane, Danilo Comminiello, Aurelio Uncini

Proceedings of the Neural Approaches to Dynamics of Signal Exchanges, 2020

Separation of Drum and Bass from Monaural Tracks.

Michele Scarpiniti, Simone Scardapane, Danilo Comminiello, Raffaele Parisi, Aurelio Uncini

Proceedings of the Neural Advances in Processing Nonlinear Dynamic Signals, 2020

Learning Activation Functions from Data Using Cubic Spline Interpolation.

Simone Scardapane, Michele Scarpiniti, Danilo Comminiello, Aurelio Uncini

Proceedings of the Neural Advances in Processing Nonlinear Dynamic Signals, 2020

On 4-Dimensional Hypercomplex Algebras in Adaptive Signal Processing.

Francesca Ortolani, Danilo Comminiello, Michele Scarpiniti, Aurelio Uncini

Proceedings of the Neural Advances in Processing Nonlinear Dynamic Signals, 2020

A Low-Complexity Linear-in-the-Parameters Nonlinear Filter for Distorted Speech Signals.

Danilo Comminiello, Michele Scarpiniti, Simone Scardapane, Raffaele Parisi, Aurelio Uncini

Proceedings of the Neural Advances in Processing Nonlinear Dynamic Signals, 2020

Advanced Sound Classifiers and Performance Analyses for Accurate Audio-Based Construction Project Monitoring.

Yong-Cheol Lee, Michele Scarpiniti, Aurelio Uncini

J. Comput. Civ. Eng., 2020

Optimized training and scalable implementation of Conditional Deep Neural Networks with early exits for Fog-supported IoT applications.

Enzo Baccarelli, Simone Scardapane, Michele Scarpiniti, Alireza Momenzadeh, Aurelio Uncini

Inf. Sci., 2020

Why Should We Add Early Exits to Neural Networks?

Simone Scardapane, Michele Scarpiniti, Enzo Baccarelli, Aurelio Uncini

Cogn. Comput., 2020

Differentiable Branching In Deep Networks for Fast Inference.

Simone Scardapane, Danilo Comminiello, Michele Scarpiniti, Enzo Baccarelli, Aurelio Uncini

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Deep Recurrent Neural Networks for Audio Classification in Construction Sites.

Michele Scarpiniti, Danilo Comminiello, Aurelio Uncini, Yong-Cheol Lee

Proceedings of the 28th European Signal Processing Conference, 2020

A Wide Multimodal Dense U-Net for Fast Magnetic Resonance Imaging.

Antonio Falvo, Danilo Comminiello, Simone Scardapane, Michele Scarpiniti, Aurelio Uncini

Proceedings of the 28th European Signal Processing Conference, 2020

2019

A Multimodal Deep Network for the Reconstruction of T2W MR Images.

Antonio Falvo, Danilo Comminiello, Simone Scardapane, Giorgio Finesi, Michele Scarpiniti, Aurelio Uncini

CoRR, 2019

Steady-State Performance of an Adaptive Combined MISO Filter Using the Multichannel Affine Projection Algorithm.

Danilo Comminiello, Michele Scarpiniti, Luis Antonio Azpicueta-Ruiz, Aurelio Uncini

Algorithms, 2019

EcoMobiFog-Design and Dynamic Optimization of a 5G Mobile-Fog-Cloud Multi-Tier Ecosystem for the Real-Time Distributed Execution of Stream Applications.

Enzo Baccarelli, Michele Scarpiniti, Alireza Momenzadeh

IEEE Access, 2019

A Multimodal Dense U-Net For Accelerating Multiple Sclerosis MRI.

Antonio Falvo, Danilo Comminiello, Simone Scardapane, Michele Scarpiniti, Aurelio Uncini

Proceedings of the 29th IEEE International Workshop on Machine Learning for Signal Processing, 2019

Frequency-domain Adaptive Filtering: from Real to Hypercomplex Signal Processing.

Danilo Comminiello, Michele Scarpiniti, Raffaele Parisi, Aurelio Uncini

Proceedings of the IEEE International Conference on Acoustics, 2019

Convex Combination of Spline Adaptive Filters.

Michele Scarpiniti, Danilo Comminiello, Aurelio Uncini

Proceedings of the 27th European Signal Processing Conference, 2019

2018

Effective Blind Source Separation Based on the Adam Algorithm.

Michele Scarpiniti, Simone Scardapane, Danilo Comminiello, Raffaele Parisi, Aurelio Uncini

Proceedings of the Multidisciplinary Approaches to Neural Computing, 2018

Energy performance of heuristics and meta-heuristics for real-time joint resource scaling and consolidation in virtualized networked data centers.

Michele Scarpiniti, Enzo Baccarelli, Paola Gabriela Vinueza Naranjo, Aurelio Uncini

J. Supercomput., 2018

Design and energy-efficient resource management of virtualized networked Fog architectures for the real-time support of IoT applications.

Paola Gabriela Vinueza Naranjo, Enzo Baccarelli, Michele Scarpiniti

J. Supercomput., 2018

Fog of Social IoT: When the Fog Becomes Social.

Enzo Baccarelli, Michele Scarpiniti, Paola Gabriela Vinueza Naranjo, Leticia Vaca Cárdenas

IEEE Netw., 2018

Fog-Supported Delay-Constrained Energy-Saving Live Migration of VMs Over MultiPath TCP/IP 5G Connections.

Enzo Baccarelli, Michele Scarpiniti, Alireza Momenzadeh

IEEE Access, 2018

Sparse functional link adaptive filter using an ℓ₁-norm regularization.

Danilo Comminiello, Michele Scarpiniti, Simone Scardapane, Aurelio Uncini

Proceedings of the IEEE International Symposium on Circuits and Systems, 2018

Combined Sparse Regularization for Nonlinear Adaptive Filters.

Danilo Comminiello, Michele Scarpiniti, Simone Scardapane, Luis Antonio Azpicueta-Ruiz, Aurelio Uncini

Proceedings of the 26th European Signal Processing Conference, 2018

2017

Frequency domain quaternion adaptive filters: Algorithms and convergence performance.

Francesca Ortolani, Danilo Comminiello, Michele Scarpiniti, Aurelio Uncini

Signal Process., 2017

Combined nonlinear filtering architectures involving sparse functional link adaptive filters.

Danilo Comminiello, Michele Scarpiniti, Luis Antonio Azpicueta-Ruiz, Jerónimo Arenas-García, Aurelio Uncini

Signal Process., 2017

Q*: Energy and delay-efficient dynamic queue management in TCP/IP virtualized data centers.

Enzo Baccarelli, Paola Gabriela Vinueza Naranjo, Mohammad Shojafar, Michele Scarpiniti

Comput. Commun., 2017

Fog of Everything: Energy-Efficient Networked Computing Architectures, Research Challenges, and a Case Study.

Enzo Baccarelli, Paola Gabriela Vinueza Naranjo, Michele Scarpiniti, Mohammad Shojafar, Jemal H. Abawajy

IEEE Access, 2017

Efficient Data Augmentation Using Graph Imputation Neural Networks.

Indro Spinelli, Simone Scardapane, Michele Scarpiniti, Aurelio Uncini

Proceedings of the Advances in Intelligent Information Hiding and Multimedia Signal Processing, 2017

Quaternion Widely Linear Forecasting of Air Quality.

Michele Scarpiniti, Danilo Comminiello, Federico Muciaccia, Aurelio Uncini

Proceedings of the Advances in Intelligent Information Hiding and Multimedia Signal Processing, 2017

A CNN Approach for Audio Classification in Construction Sites.

Alessandro Maccagno, Andrea Mastropietro, Umberto Mazziotta, Michele Scarpiniti, Yong-Cheol Lee, Aurelio Uncini

Proceedings of the Advances in Intelligent Information Hiding and Multimedia Signal Processing, 2017

A Multimodal Deep Network for the Reconstruction of T2W MR Images.

Antonio Falvo, Danilo Comminiello, Simone Scardapane, Michele Scarpiniti, Aurelio Uncini

Proceedings of the Advances in Intelligent Information Hiding and Multimedia Signal Processing, 2017

Full proportionate functional link adaptive filters for nonlinear acoustic echo cancellation.

Danilo Comminiello, Michele Scarpiniti, Luis Antonio Azpicueta-Ruiz, Jerónimo Arenas-García, Aurelio Uncini

Proceedings of the 25th European Signal Processing Conference, 2017

2016

Benchmarking Functional Link Expansions for Audio Classification Tasks.

Simone Scardapane, Danilo Comminiello, Michele Scarpiniti, Raffaele Parisi, Aurelio Uncini

Proceedings of the Advances in Neural Networks - Computational Intelligence for ICT, 2016

Frequency-Domain Adaptive Filtering in Hypercomplex Systems.

Francesca Ortolani, Danilo Comminiello, Michele Scarpiniti, Aurelio Uncini

Proceedings of the Advances in Neural Networks - Computational Intelligence for ICT, 2016

A Nonlinear Acoustic Echo Canceller with Improved Tracking Capabilities.

Danilo Comminiello, Michele Scarpiniti, Simone Scardapane, Raffaele Parisi, Aurelio Uncini

Proceedings of the Recent Advances in Nonlinear Speech Processing, 2016

Steady-State Performance of Spline Adaptive Filters.

Michele Scarpiniti, Danilo Comminiello, Gaetano Scarano, Raffaele Parisi, Aurelio Uncini

IEEE Trans. Signal Process., 2016

A semi-supervised random vector functional-link network based on the transductive framework.

Simone Scardapane, Danilo Comminiello, Michele Scarpiniti, Aurelio Uncini

Inf. Sci., 2016

Effective Blind Source Separation Based on the Adam Algorithm.

Michele Scarpiniti, Simone Scardapane, Danilo Comminiello, Raffaele Parisi, Aurelio Uncini

CoRR, 2016

Learning activation functions from data using cubic spline interpolation.

Simone Scardapane, Michele Scarpiniti, Danilo Comminiello, Aurelio Uncini

CoRR, 2016

A block-based combined scheme exploiting sparsity in nonlinear acoustic echo cancellation.

Danilo Comminiello, Michele Scarpiniti, Luis Antonio Azpicueta-Ruiz, Jerónimo Arenas-García, Aurelio Uncini

Proceedings of the 26th IEEE International Workshop on Machine Learning for Signal Processing, 2016

Design of hybrid nonlinear spline adaptive filters for active noise control.

Vinal Patel, Danilo Comminiello, Michele Scarpiniti, Nithin V. George, Aurelio Uncini

Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

Diffusion spline adaptive filtering.

Simone Scardapane, Michele Scarpiniti, Danilo Comminiello, Aurelio Uncini

Proceedings of the 24th European Signal Processing Conference, 2016

2015

Significance-Based Pruning for Reservoir's Neurons in Echo State Networks.

Simone Scardapane, Danilo Comminiello, Michele Scarpiniti, Aurelio Uncini

Proceedings of the Advances in Neural Networks: Computational and Theoretical Issues, 2015

Integration of Audio and Video Clues for Source Localization by a Robotic Head.

Raffaele Parisi, Danilo Comminiello, Michele Scarpiniti, Aurelio Uncini

Proceedings of the Advances in Neural Networks: Computational and Theoretical Issues, 2015

Online Selection of Functional Links for Nonlinear System Identification.

Danilo Comminiello, Simone Scardapane, Michele Scarpiniti, Raffaele Parisi, Aurelio Uncini

Proceedings of the Advances in Neural Networks: Computational and Theoretical Issues, 2015

Online Sequential Extreme Learning Machine With Kernels.

Simone Scardapane, Danilo Comminiello, Michele Scarpiniti, Aurelio Uncini

IEEE Trans. Neural Networks Learn. Syst., 2015

Intelligent Acoustic Interfaces With Multisensor Acquisition for Immersive Reproduction.

Danilo Comminiello, Stefania Cecchi, Michele Scarpiniti, Michele Gasparini, Laura Romoli, Francesco Piazza, Aurelio Uncini

IEEE Trans. Multim., 2015

Novel Cascade Spline Architectures for the Identification of Nonlinear Systems.

Michele Scarpiniti, Danilo Comminiello, Raffaele Parisi, Aurelio Uncini

IEEE Trans. Circuits Syst. I Regul. Pap., 2015

Nonlinear system identification using IIR Spline Adaptive Filters.

Michele Scarpiniti, Danilo Comminiello, Raffaele Parisi, Aurelio Uncini

Signal Process., 2015

Improving nonlinear modeling capabilities of functional link adaptive filters.

Danilo Comminiello, Michele Scarpiniti, Simone Scardapane, Raffaele Parisi, Aurelio Uncini

Neural Networks, 2015

An interactive optimization procedure for stereophonic acoustic echo cancellation systems.

Laura Romoli, Stefania Cecchi, Francesco Piazza, Danilo Comminiello, Michele Scarpiniti, Aurelio Uncini

Proceedings of the 2015 International Joint Conference on Neural Networks, 2015

Functional link expansions for nonlinear modeling of audio and speech signals.

Danilo Comminiello, Simone Scardapane, Michele Scarpiniti, Raffaele Parisi, Aurelio Uncini

Proceedings of the 2015 International Joint Conference on Neural Networks, 2015

A nonlinear architecture involving a combination of proportionate functional link adaptive filters.

Danilo Comminiello, Michele Scarpiniti, Luis Antonio Azpicueta-Ruiz, Jerónimo Arenas-García, Aurelio Uncini

Proceedings of the 23rd European Signal Processing Conference, 2015

2014

Nonlinear Acoustic Echo Cancellation Based on Sparse Functional Link Representations.

Danilo Comminiello, Michele Scarpiniti, Luis Antonio Azpicueta-Ruiz, Jerónimo Arenas-García, Aurelio Uncini

IEEE ACM Trans. Audio Speech Lang. Process., 2014

Hammerstein uniform cubic spline adaptive filters: Learning and convergence properties.

Michele Scarpiniti, Danilo Comminiello, Raffaele Parisi, Aurelio Uncini

Signal Process., 2014

An effective criterion for pruning reservoir's connections in Echo State Networks.

Simone Scardapane, Gabriele Nocco, Danilo Comminiello, Michele Scarpiniti, Aurelio Uncini

Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

Advanced intelligent acoustic interfaces for multichannel audio reproduction.

Danilo Comminiello, Stefania Cecchi, Michele Gasparini, Michele Scarpiniti, Aurelio Uncini, Francesco Piazza

Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

Security monitoring based on joint automatic speaker recognition and blind source separation.

Michele Scarpiniti, Fabio Garzia

Proceedings of the International Carnahan Conference on Security Technology, 2014

GP-based kernel evolution for L2-Regularization Networks.

Simone Scardapane, Danilo Comminiello, Michele Scarpiniti, Aurelio Uncini

Proceedings of the IEEE Congress on Evolutionary Computation, 2014

2013

Functional Link Adaptive Filters for Nonlinear Acoustic Echo Cancellation.

Danilo Comminiello, Michele Scarpiniti, Luis Antonio Azpicueta-Ruiz, Jerónimo Arenas-García, Aurelio Uncini

IEEE Trans. Speech Audio Process., 2013

Nonlinear spline adaptive filtering.

Michele Scarpiniti, Danilo Comminiello, Raffaele Parisi, Aurelio Uncini

Signal Process., 2013

Combined adaptive beamforming schemes for nonstationary interfering noise reduction.

Danilo Comminiello, Michele Scarpiniti, Raffaele Parisi, Aurelio Uncini

Signal Process., 2013

Proportionate Algorithms for Blind Source Separation.

Michele Scarpiniti, Danilo Comminiello, Simone Scardapane, Raffaele Parisi, Aurelio Uncini

Proceedings of the Recent Advances of Neural Network Models and Applications, 2013

A Preliminary Study on Transductive Extreme Learning Machines.

Simone Scardapane, Danilo Comminiello, Michele Scarpiniti, Aurelio Uncini

Proceedings of the Recent Advances of Neural Network Models and Applications, 2013

Interactive quality enhancement in acoustic echo cancellation.

Danilo Comminiello, Simone Scardapane, Michele Scarpiniti, Aurelio Uncini

Proceedings of the 36th International Conference on Telecommunications and Signal Processing, 2013

Combined adaptive beamforming techniques for noise reduction in changing environments.

Danilo Comminiello, Michele Scarpiniti, Raffaele Parisi, Aurelio Uncini

Proceedings of the 36th International Conference on Telecommunications and Signal Processing, 2013

Music classification using extreme learning machines.

Simone Scardapane, Danilo Comminiello, Michele Scarpiniti, Aurelio Uncini

Proceedings of the 8th International Symposium on Image and Signal Processing and Analysis, 2013

Convex combination of MIMO filters for multichannel acoustic echo cancellation.

Danilo Comminiello, Simone Scardapane, Michele Scarpiniti, Raffaele Parisi, Aurelio Uncini

Proceedings of the 8th International Symposium on Image and Signal Processing and Analysis, 2013

Localization of audio sources by multiple binaural sensors.

Raffaele Parisi, Riccardo Russo, Michele Scarpiniti, Aurelio Uncini

Proceedings of the 18th International Conference on Digital Signal Processing, 2013

2012

Cepstrum Prefiltering for Binaural Source Localization in Reverberant Environments.

Raffaele Parisi, Flavia Camoes, Michele Scarpiniti, Aurelio Uncini

IEEE Signal Process. Lett., 2012

Text Independent Automatic Speaker Recognition System Using Mel-Frequency Cepstrum Coefficient and Gaussian Mixture Models.

Alfredo Maesa, Fabio Garzia, Michele Scarpiniti, Roberto Cusani

J. Information Security, 2012

A Collaborative Filter Approach to Adaptive Noise Cancellation.

Michele Scarpiniti, Danilo Comminiello, Raffaele Parisi, Aurelio Uncini

Proceedings of the Neural Nets and Surroundings - 22nd Italian Workshop on Neural Nets, 2012

PM 10 Forecasting Using Kernel Adaptive Filtering: An Italian Case Study.

Simone Scardapane, Danilo Comminiello, Michele Scarpiniti, Raffaele Parisi, Aurelio Uncini

Proceedings of the Neural Nets and Surroundings - 22nd Italian Workshop on Neural Nets, 2012

2011

A Collaborative Approach to Time-Series Prediction.

Michele Scarpiniti, Danilo Comminiello, Raffaele Parisi, Aurelio Uncini

Proceedings of the Neural Nets WIRN11, 2011

Comparison of Hammerstein and Wiener systems for nonlinear acoustic echo cancelers in reverberant environments.

Michele Scarpiniti, Danilo Comminiello, Raffaele Parisi, Aurelio Uncini

Proceedings of the 17th International Conference on Digital Signal Processing, 2011

2010

A Geometrically Constrained ICA Algorithm for Blind Separation in Convolutive Environments.

Michele Scarpiniti, Francesco Di Palma, Raffaele Parisi, Aurelio Uncini

Proceedings of the Neural Nets WIRN10, 2010

A Pre-Filtering and Post-Filtering Approach to Blind Source Separation.

Michele Scarpiniti, Gabriele Bunkheila, Raffaele Parisi, Aurelio Uncini

Proceedings of the Neural Nets WIRN10, 2010

A novel affine projection algorithm for superdirective microphone array beamforming.

Danilo Comminiello, Michele Scarpiniti, Raffaele Parisi, Aurelio Uncini

Proceedings of the International Symposium on Circuits and Systems (ISCAS 2010), May 30, 2010

Simplified optimal line selection for acoustic localization in the presence of reverberation.

Albenzio Cirillo, Raffaele Parisi, Michele Scarpiniti, Aurelio Uncini

Proceedings of the 18th European Signal Processing Conference, 2010

2009

A Partitioned Frequency Block Algorithm for Blind Separation in Reverberant Environments.

Michele Scarpiniti, Andrea Picaro, Raffaele Parisi, Aurelio Uncini

Proceedings of the Neural Nets WIRN09, 2009

Stereo acoustical echo cancellation based on common poles.

Gabriele Bunkheila, Michele Scarpiniti, Raffaele Parisi, Aurelio Uncini

Proceedings of the 16th International Conference on Digital Signal Processing, 2009

2008

Generalized splitting functions for blind separation of complex signals.

Michele Scarpiniti, Daniele Vigliano, Raffaele Parisi, Aurelio Uncini

Neurocomputing, 2008

Flexible Nonlinear Blind Signal Separation in the Complex Domain.

Daniele Vigliano, Michele Scarpiniti, Raffaele Parisi, Aurelio Uncini

Int. J. Neural Syst., 2008

A Flexible Natural Gradient Approach to Blind Separation of Complex Signals.

Michele Scarpiniti, Daniele Vigliano, Raffaele Parisi, Aurelio Uncini

Proceedings of the New Directions in Neural Networks, 2008

2007

Generalized Flexible Splitting Function Outperforms Classical Approaches in Blind Signal Separation of Complex Environment.

Michele Scarpiniti, Daniele Vigliano, Raffaele Parisi, Aurelio Uncini

Proceedings of the 15th International Conference on Digital Signal Processing, 2007

2006

Flexible ICA approach to the nonlinear blind signal separation in the complex domain.

Daniele Vigliano, Michele Scarpiniti, Raffaele Parisi, Aurelio Uncini

Proceedings of the 14th European Signal Processing Conference, 2006