Flexible ICA approach to the nonlinear blind signal separation in the complex domain. - Daniele Vigliano; Michele Scarpiniti; Raffaele Parisi; Aurelio Uncini (EUSIPCO, 2006)

Generalized Flexible Splitting Function Outperforms Classical Approaches in Blind Signal Separation of Complex Environment. - Michele Scarpiniti; Daniele Vigliano; Raffaele Parisi; Aurelio Uncini (DSP, 2007)

A Flexible Natural Gradient Approach to Blind Separation of Complex Signals. - Michele Scarpiniti; Daniele Vigliano; Raffaele Parisi; Aurelio Uncini (WIRN, 2008)

Flexible Nonlinear Blind Signal Separation in the Complex Domain. - Daniele Vigliano; Michele Scarpiniti; Raffaele Parisi; Aurelio Uncini (Int. J. Neural Syst., 2008)

Generalized splitting functions for blind separation of complex signals. - Michele Scarpiniti; Daniele Vigliano; Raffaele Parisi; Aurelio Uncini (Neurocomputing, 2008)

Stereo acoustical echo cancellation based on common poles. - Gabriele Bunkheila; Michele Scarpiniti; Raffaele Parisi; Aurelio Uncini (DPS, 2009)

A Partitioned Frequency Block Algorithm for Blind Separation in Reverberant Environments. - Michele Scarpiniti; Andrea Picaro; Raffaele Parisi; Aurelio Uncini (WIRN, 2009)

Simplified optimal line selection for acoustic localization in the presence of reverberation. - Albenzio Cirillo; Raffaele Parisi; Michele Scarpiniti; Aurelio Uncini (EUSIPCO, 2010)

A novel affine projection algorithm for superdirective microphone array beamforming. - Danilo Comminiello; Michele Scarpiniti; Raffaele Parisi; Aurelio Uncini (ISCAS, 2010)

A Pre-Filtering and Post-Filtering Approach to Blind Source Separation. - Michele Scarpiniti; Gabriele Bunkheila; Raffaele Parisi; Aurelio Uncini (WIRN, 2010)

A Geometrically Constrained ICA Algorithm for Blind Separation in Convolutive Environments. - Michele Scarpiniti; Francesco Di Palma; Raffaele Parisi; Aurelio Uncini (WIRN, 2010)

Comparison of Hammerstein and Wiener systems for nonlinear acoustic echo cancelers in reverberant environments. - Michele Scarpiniti; Danilo Comminiello; Raffaele Parisi; Aurelio Uncini (DSP, 2011)

A Collaborative Approach to Time-Series Prediction. - Michele Scarpiniti; Danilo Comminiello; Raffaele Parisi; Aurelio Uncini (WIRN, 2011)

PM 10 Forecasting Using Kernel Adaptive Filtering: An Italian Case Study. - Simone Scardapane; Danilo Comminiello; Michele Scarpiniti; Raffaele Parisi; Aurelio Uncini (WIRN, 2012)

A Collaborative Filter Approach to Adaptive Noise Cancellation. - Michele Scarpiniti; Danilo Comminiello; Raffaele Parisi; Aurelio Uncini (WIRN, 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)

Cepstrum Prefiltering for Binaural Source Localization in Reverberant Environments. - Raffaele Parisi; Flavia Camoes; Michele Scarpiniti; Aurelio Uncini (IEEE Signal Process. Lett., 2012)

Localization of audio sources by multiple binaural sensors. - Raffaele Parisi; Riccardo Russo; Michele Scarpiniti; Aurelio Uncini (DSP, 2013)

Convex combination of MIMO filters for multichannel acoustic echo cancellation. - Danilo Comminiello; Simone Scardapane; Michele Scarpiniti; Raffaele Parisi; Aurelio Uncini (ISPA, 2013)

Music classification using extreme learning machines. - Simone Scardapane; Danilo Comminiello; Michele Scarpiniti; Aurelio Uncini (ISPA, 2013)

Combined adaptive beamforming techniques for noise reduction in changing environments. - Danilo Comminiello; Michele Scarpiniti; Raffaele Parisi; Aurelio Uncini (TSP, 2013)

Interactive quality enhancement in acoustic echo cancellation. - Danilo Comminiello; Simone Scardapane; Michele Scarpiniti; Aurelio Uncini (TSP, 2013)

A Preliminary Study on Transductive Extreme Learning Machines. - Simone Scardapane; Danilo Comminiello; Michele Scarpiniti; Aurelio Uncini (WIRN, 2013)

Proportionate Algorithms for Blind Source Separation. - Michele Scarpiniti; Danilo Comminiello; Simone Scardapane; Raffaele Parisi; Aurelio Uncini (WIRN, 2013)

Combined adaptive beamforming schemes for nonstationary interfering noise reduction. - Danilo Comminiello; Michele Scarpiniti; Raffaele Parisi; Aurelio Uncini (Signal Process., 2013)

Nonlinear spline adaptive filtering. - Michele Scarpiniti; Danilo Comminiello; Raffaele Parisi; Aurelio Uncini (Signal Process., 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)

GP-based kernel evolution for L2-Regularization Networks. - Simone Scardapane; Danilo Comminiello; Michele Scarpiniti; Aurelio Uncini (IEEE Congress on Evolutionary Computation, 2014)

Security monitoring based on joint automatic speaker recognition and blind source separation. - Michele Scarpiniti; Fabio Garzia (ICCST, 2014)

Advanced intelligent acoustic interfaces for multichannel audio reproduction. - Danilo Comminiello; Stefania Cecchi; Michele Gasparini; Michele Scarpiniti; Aurelio Uncini; Francesco Piazza (IJCNN, 2014)

An effective criterion for pruning reservoir's connections in Echo State Networks. - Simone Scardapane; Gabriele Nocco; Danilo Comminiello; Michele Scarpiniti; Aurelio Uncini (IJCNN, 2014)

Hammerstein uniform cubic spline adaptive filters: Learning and convergence properties. - Michele Scarpiniti; Danilo Comminiello; Raffaele Parisi; Aurelio Uncini (Signal Process., 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)

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 (EUSIPCO, 2015)

Functional link expansions for nonlinear modeling of audio and speech signals. - Danilo Comminiello; Simone Scardapane; Michele Scarpiniti; Raffaele Parisi; Aurelio Uncini (IJCNN, 2015)

An interactive optimization procedure for stereophonic acoustic echo cancellation systems. - Laura Romoli; Stefania Cecchi; Francesco Piazza; Danilo Comminiello; Michele Scarpiniti; Aurelio Uncini (IJCNN, 2015)

Improving nonlinear modeling capabilities of functional link adaptive filters. - Danilo Comminiello; Michele Scarpiniti; Simone Scardapane; Raffaele Parisi; Aurelio Uncini (Neural Networks, 2015)

Nonlinear system identification using IIR Spline Adaptive Filters. - Michele Scarpiniti; Danilo Comminiello; Raffaele Parisi; Aurelio Uncini (Signal Process., 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)

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)

Online Sequential Extreme Learning Machine With Kernels. - Simone Scardapane; Danilo Comminiello; Michele Scarpiniti; Aurelio Uncini (IEEE Trans. Neural Networks Learn. Syst., 2015)

Online Selection of Functional Links for Nonlinear System Identification. - Danilo Comminiello; Simone Scardapane; Michele Scarpiniti; Raffaele Parisi; Aurelio Uncini (Advances in Neural Networks, 2015)

Integration of Audio and Video Clues for Source Localization by a Robotic Head. - Raffaele Parisi; Danilo Comminiello; Michele Scarpiniti; Aurelio Uncini (Advances in Neural Networks, 2015)

Significance-Based Pruning for Reservoir's Neurons in Echo State Networks. - Simone Scardapane; Danilo Comminiello; Michele Scarpiniti; Aurelio Uncini (Advances in Neural Networks, 2015)

Diffusion spline adaptive filtering. - Simone Scardapane; Michele Scarpiniti; Danilo Comminiello; Aurelio Uncini (EUSIPCO, 2016)

Design of hybrid nonlinear spline adaptive filters for active noise control. - Vinal Patel; Danilo Comminiello; Michele Scarpiniti; Nithin V. George; Aurelio Uncini (IJCNN, 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 (MLSP, 2016)

Learning activation functions from data using cubic spline interpolation. - Simone Scardapane; Michele Scarpiniti; Danilo Comminiello; Aurelio Uncini (CoRR, 2016)

Effective Blind Source Separation Based on the Adam Algorithm. - Michele Scarpiniti; Simone Scardapane; Danilo Comminiello; Raffaele Parisi; Aurelio Uncini (CoRR, 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)

Steady-State Performance of Spline Adaptive Filters. - Michele Scarpiniti; Danilo Comminiello; Gaetano Scarano; Raffaele Parisi; Aurelio Uncini (IEEE Trans. Signal Process., 2016)

A Nonlinear Acoustic Echo Canceller with Improved Tracking Capabilities. - Danilo Comminiello; Michele Scarpiniti; Simone Scardapane; Raffaele Parisi; Aurelio Uncini (Recent Advances in Nonlinear Speech Processing, 2016)

Frequency-Domain Adaptive Filtering in Hypercomplex Systems. - Francesca Ortolani; Danilo Comminiello; Michele Scarpiniti; Aurelio Uncini (Advances in Neural Networks, 2016)

Benchmarking Functional Link Expansions for Audio Classification Tasks. - Simone Scardapane; Danilo Comminiello; Michele Scarpiniti; Raffaele Parisi; Aurelio Uncini (Advances in Neural Networks, 2016)

Full proportionate functional link adaptive filters for nonlinear acoustic echo cancellation. - Danilo Comminiello; Michele Scarpiniti; Luis Antonio Azpicueta-Ruiz; Jerónimo Arenas-García; Aurelio Uncini (EUSIPCO, 2017)

A Multimodal Deep Network for the Reconstruction of T2W MR Images. - Antonio Falvo; Danilo Comminiello; Simone Scardapane; Michele Scarpiniti; Aurelio Uncini (IIH-MSP (1), 2017)

A CNN Approach for Audio Classification in Construction Sites. - Alessandro Maccagno; Andrea Mastropietro; Umberto Mazziotta; Michele Scarpiniti; Yong-Cheol Lee; Aurelio Uncini (IIH-MSP (1), 2017)

Quaternion Widely Linear Forecasting of Air Quality. - Michele Scarpiniti; Danilo Comminiello; Federico Muciaccia; Aurelio Uncini (IIH-MSP (1), 2017)

Efficient Data Augmentation Using Graph Imputation Neural Networks. - Indro Spinelli; Simone Scardapane; Michele Scarpiniti; Aurelio Uncini (IIH-MSP (1), 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)

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)

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)

Frequency domain quaternion adaptive filters: Algorithms and convergence performance. - Francesca Ortolani; Danilo Comminiello; Michele Scarpiniti; Aurelio Uncini (Signal Process., 2017)

Combined Sparse Regularization for Nonlinear Adaptive Filters. - Danilo Comminiello; Michele Scarpiniti; Simone Scardapane; Luis Antonio Azpicueta-Ruiz; Aurelio Uncini (EUSIPCO, 2018)

Sparse functional link adaptive filter using an ℓ1-norm regularization. - Danilo Comminiello; Michele Scarpiniti; Simone Scardapane; Aurelio Uncini (ISCAS, 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)

Fog of Social IoT: When the Fog Becomes Social. - Enzo Baccarelli; Michele Scarpiniti; Paola Gabriela Vinueza Naranjo; Leticia Vaca Cárdenas (IEEE Netw., 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)

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)

Effective Blind Source Separation Based on the Adam Algorithm. - Michele Scarpiniti; Simone Scardapane; Danilo Comminiello; Raffaele Parisi; Aurelio Uncini (Multidisciplinary Approaches to Neural Computing, 2018)

Convex Combination of Spline Adaptive Filters. - Michele Scarpiniti; Danilo Comminiello; Aurelio Uncini (EUSIPCO, 2019)

Frequency-domain Adaptive Filtering: from Real to Hypercomplex Signal Processing. - Danilo Comminiello; Michele Scarpiniti; Raffaele Parisi; Aurelio Uncini (ICASSP, 2019)

A Multimodal Dense U-Net For Accelerating Multiple Sclerosis MRI. - Antonio Falvo; Danilo Comminiello; Simone Scardapane; Michele Scarpiniti; Aurelio Uncini (MLSP, 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)

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)

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)

A Wide Multimodal Dense U-Net for Fast Magnetic Resonance Imaging. - Antonio Falvo; Danilo Comminiello; Simone Scardapane; Michele Scarpiniti; Aurelio Uncini (EUSIPCO, 2020)

Deep Recurrent Neural Networks for Audio Classification in Construction Sites. - Michele Scarpiniti; Danilo Comminiello; Aurelio Uncini; Yong-Cheol Lee (EUSIPCO, 2020)

Differentiable Branching In Deep Networks for Fast Inference. - Simone Scardapane; Danilo Comminiello; Michele Scarpiniti; Enzo Baccarelli; Aurelio Uncini (ICASSP, 2020)

Why Should We Add Early Exits to Neural Networks? - Simone Scardapane; Michele Scarpiniti; Enzo Baccarelli; Aurelio Uncini (Cogn. Comput., 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)

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)

A Low-Complexity Linear-in-the-Parameters Nonlinear Filter for Distorted Speech Signals. - Danilo Comminiello; Michele Scarpiniti; Simone Scardapane; Raffaele Parisi; Aurelio Uncini (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 (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 (Neural Advances in Processing Nonlinear Dynamic Signals, 2020)

Separation of Drum and Bass from Monaural Tracks. - Michele Scarpiniti; Simone Scardapane; Danilo Comminiello; Raffaele Parisi; Aurelio Uncini (Neural Advances in Processing Nonlinear Dynamic Signals, 2020)

Music Genre Classification Using Stacked Auto-Encoders. - Michele Scarpiniti; Simone Scardapane; Danilo Comminiello; Aurelio Uncini (Neural Approaches to Dynamics of Signal Exchanges, 2020)

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)

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)

Gomoku: analysis of the game and of the player Wine. - Lorenzo Piazzo; Michele Scarpiniti; Enzo Baccarelli (CoRR, 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)

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 (IJCNN, 2022)

AFAFed - Asynchronous Fair Adaptive Federated learning for IoT stream applications. - Enzo Baccarelli; Michele Scarpiniti; Alireza Momenzadeh; Sima Sarv Ahrabi (Comput. Commun., 2022)

AFAFed - Protocol analysis. - Enzo Baccarelli; Michele Scarpiniti; Alireza Momenzadeh; Sima Sarv Ahrabi (CoRR, 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)

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)

Quaternion Gated Recurrent Units for Renewable Energy: Improving Power Forecasting. - Gianfranco Di Marco; Danilo Comminiello; Michele Scarpiniti; Aurelio Uncini (ICECS, 2023)

A U-Net Based Architecture for Automatic Music Transcription. - Michele Scarpiniti; Edoardo Sigismondi; Danilo Comminiello; Aurelio Uncini (MLSP, 2023)

Deep Echo State Network for Environmental Sound Classification. - Michele Scarpiniti; Sofia Perticarà; Yong-Cheol Lee; Aurelio Uncini (WIRN, 2023)

A Two-Stage Neural Network for Speech Signal Reconstruction from Mel Spectrograms. - Filippo Villani; Michele Scarpiniti; Aurelio Uncini (WIRN, 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 New Class of Efficient Adaptive Filters for Online Nonlinear Modeling. - Danilo Comminiello; Alireza Nezamdoust; Simone Scardapane; Michele Scarpiniti; Amir Hussain 001; Aurelio Uncini (IEEE Trans. Syst. Man Cybern. Syst., 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., 2023)

Spline Adaptive Exponential Functional Link Filter for Nonlinear Acoustic Echo Cancellation. - Alireza Nezamdoust; Michele Scarpiniti; Aurelio Uncini; Danilo Comminiello (EUSIPCO, 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)

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., 2024)