A. Uncini

发表

Functional link based architectures for nonlinear acoustic echo cancellation

J. Arenas-García, D. Comminiello, L. A. Azpicueta-Ruiz, 2011, 2011 Joint Workshop on Hands-free Speech Communication and Microphone Arrays.

Fast neural networks without multipliers

Francesco Piazza, Michele Marchesi, Aurelio Uncini, 1993, IEEE Trans. Neural Networks.

Power-of-two adaptive filters using tabu search

A. Uncini, S. Traferro, 2000 .

Efficient Continual Learning in Neural Networks with Embedding Regularization

Vincenzo Lomonaco, A. Uncini, Simone Scardapane, 2019, Neurocomputing.

Fully Decentralized Semi-supervised Learning via Privacy-preserving Matrix Completion.

M. Panella, A. Uncini, Simone Scardapane, 2016, IEEE transactions on neural networks and learning systems.

AnIRarchitecture forBSSinstrong nonlinear convolutive environments

R. Parisi, A. Uncini, D. Vigliano, 2006 .

Flexible ICA solution for nonlinear blind source separation problem

A. Uncini, D. Vigliano, A. Uncini, 2003 .

Video compression by Neural Network

R. Parisi, A. Uncini, Vigliano Daniele, 2004 .

Polar Measurements of Harmonic and Multitone Distortion of Direct Radiating and Horn Loaded Transducers

A. Uncini, M. Cobianchi, F. Mizzoni, 2013 .

Flexible estimation of probability and cumulative density functions

R. Parisi, M. Scarpiniti, A. Uncini, 2009 .

Back Propagation without Multipliers for Pattern Recognition

Michele Marchesi, Aurelio Uncini, Francesco Piazza, 1993 .

Quaternion digital signal processing: A hypercomplex approach to information processing

A. Uncini, Francesca Ortolani, 2016, 2016 International Siberian Conference on Control and Communications (SIBCON).

Centroids Matching: an efficient Continual Learning approach operating in the embedding space

A. Uncini, Simone Scardapane, Jary Pomponi, 2022, 2208.02048.

Centroids Matching: an efficient Continual Learning approach operating in the embedding space

A. Uncini, Simone Scardapane, Jary Pomponi, 2022, Trans. Mach. Learn. Res..

Hypercomplex Image-to-Image Translation

D. Comminiello, A. Uncini, Eleonora Grassucci, 2022, ArXiv.

A New Class of Efficient Adaptive Filters for Online Nonlinear Modeling

A. Hussain, D. Comminiello, M. Scarpiniti, 2021, IEEE Transactions on Systems, Man, and Cybernetics: Systems.

Structured Ensembles: an Approach to Reduce the Memory Footprint of Ensemble Methods

A. Uncini, Simone Scardapane, Jary Pomponi, 2021, Neural Networks.

FLEXIBLE ICA IN COMPLEX AND NONLINEAR ENVIRONMENT BY AN MUTUAL INFORMATION APPROACH

R. Parisi, M. Scarpiniti, A. Uncini, 2006 .

Hypercomplex Image- to- Image Translation

D. Comminiello, A. Uncini, Eleonora Grassucci, 2022, 2022 International Joint Conference on Neural Networks (IJCNN).

On the Influence of Microphone Array Geometry on the Behavior of Hypercomplex Adaptive Filters

D. Comminiello, M. Scarpiniti, A. Uncini, 2017, 2017 IEEE Microwaves, Radar and Remote Sensing Symposium (MRRS).

Bayesian Neural Networks With Maximum Mean Discrepancy Regularization

A. Uncini, Simone Scardapane, Jary Pomponi, 2020, Neurocomputing.

FairDrop: Biased Edge Dropout for Enhancing Fairness in Graph Representation Learning

A. Uncini, Simone Scardapane, Indro Spinelli, 2021, IEEE Transactions on Artificial Intelligence.

Continual Learning with Invertible Generative Models

A. Uncini, Simone Scardapane, Jary Pomponi, 2022, Neural Networks.

Why Should We Add Early Exits to Neural Networks?

M. Scarpiniti, A. Uncini, Simone Scardapane, 2020, Cognitive Computation.

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

P. G. V. Naranjo, E. Baccarelli, M. Scarpiniti, 2018, The Journal of Supercomputing.

Kafnets: kernel-based non-parametric activation functions for neural networks

Simone Scardapane, Aurelio Uncini, Steven Van Vaerenbergh, 2017, Neural Networks.

Nonlinear blind source separation by spline neural networks

Francesco Piazza, Aurelio Uncini, Mirko Solazzi, 2001, 2001 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings (Cat. No.01CH37221).

On-line learning algorithms for locally recurrent neural networks

Bhaskar D. Rao, Paolo Campolucci, Francesco Piazza, 1999, IEEE Trans. Neural Networks.

Flexible blind signal separation in the complex domain

Michele Scarpiniti, Raffaele Parisi, Aurelio Uncini, 2009 .

Flexible Nonlinear Blind Signal Separation in the Complex Domain

Michele Scarpiniti, Raffaele Parisi, Aurelio Uncini, 2008, Int. J. Neural Syst..

An information theoretic approach to a novel nonlinear independent component analysis paradigm

Raffaele Parisi, Aurelio Uncini, Daniele Vigliano, 2005, Signal Process..

Blind signal processing by complex domain adaptive spline neural networks

Francesco Piazza, Aurelio Uncini, F. Piazza, 2003, IEEE Trans. Neural Networks.

Neural blind separation of complex sources by extended APEX algorithm (EAPEX)

Francesco Piazza, Aurelio Uncini, Simone G. O. Fiori, 1999, ISCAS'99. Proceedings of the 1999 IEEE International Symposium on Circuits and Systems VLSI (Cat. No.99CH36349).

Neural Learning and Weight Flow on Stiefel Manifold

Francesco Piazza, Aurelio Uncini, Simone Fiori, 1999 .

A new class of APEX-like PCA algorithms

Francesco Piazza, Aurelio Uncini, Simone Fiori, 1998, ISCAS '98. Proceedings of the 1998 IEEE International Symposium on Circuits and Systems (Cat. No.98CH36187).

Application of the MEC Network to Principal Component Analysis and Source Separation

Francesco Piazza, Aurelio Uncini, Simone G. O. Fiori, 1997, ICANN.

A new unsupervised neural learning rule for orthonormal signal processing

Paolo Campolucci, Francesco Piazza, Aurelio Uncini, 1997, 1997 IEEE International Conference on Acoustics, Speech, and Signal Processing.

Spline neural networks for blind separation of post-nonlinear-linear mixtures

Aurelio Uncini, Mirko Solazzi, A. Uncini, 2004, IEEE Transactions on Circuits and Systems I: Regular Papers.

Learning from Distributed Data Sources Using Random Vector Functional-Link Networks

Danilo Comminiello, Simone Scardapane, Aurelio Uncini, 2015, INNS Conference on Big Data.

Split-band LD-CELP wideband speech coding at 24 kbit/s

Francesco Piazza, Aurelio Uncini, Andrea Santilli, 1996, 1996 8th European Signal Processing Conference (EUSIPCO 1996).

Stereo acoustical echo cancellation based on common poles

Michele Scarpiniti, Raffaele Parisi, Aurelio Uncini, 2009, 2009 16th International Conference on Digital Signal Processing.

Audio signal processing by neural networks

Aurelio Uncini, A. Uncini, 2003, Neurocomputing.

L3DAS22 Challenge: Learning 3D Audio Sources in a Real Office Environment

D. Comminiello, A. Uncini, E. Guizzo, 2022, ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

L3DAS21 Challenge: Machine Learning for 3D Audio Signal Processing

Danilo Comminiello, Aurelio Uncini, Marco Pennese, 2021, 2021 IEEE 31st International Workshop on Machine Learning for Signal Processing (MLSP).

A Meta-Learning Approach for Training Explainable Graph Neural Networks

A. Uncini, Simone Scardapane, Indro Spinelli, 2021, IEEE Transactions on Neural Networks and Learning Systems.

Adaptive Propagation Graph Convolutional Network

Simone Scardapane, Aurelio Uncini, Indro Spinelli, 2020, IEEE Transactions on Neural Networks and Learning Systems.

Group sparse regularization for deep neural networks pdf

Danilo Comminiello, Simone Scardapane, Aurelio Uncini, 2016, Neurocomputing.

A unified approach to laterally-connected neural NETS

Aurelio Uncini, Simone G. O. Fiori, A. Uncini, 1998, 9th European Signal Processing Conference (EUSIPCO 1998).

Joint feature fusion and optimization via deep discriminative model for mobile palmprint verification

Aurelio Uncini, Seyyed Mohammad Razavi, Mehran Taghipour-Gorjikolaie, 2019, J. Electronic Imaging.

Dual Quaternion Ambisonics Array for Six-Degree-of-Freedom Acoustic Representation

D. Comminiello, A. Uncini, Eleonora Grassucci, 2022, Pattern Recognit. Lett..

Differentiable Branching In Deep Networks for Fast Inference

Enzo Baccarelli, Danilo Comminiello, Simone Scardapane, 2020, ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Generalized splitting functions for blind separation of complex signals

Michele Scarpiniti, Raffaele Parisi, Aurelio Uncini, 2008, Neurocomputing.

Missing Data Imputation with Adversarially-trained Graph Convolutional Networks

Simone Scardapane, Aurelio Uncini, Indro Spinelli, 2019, Neural Networks.

Why Should We Add Early Exits to Neural Networks?

E. Baccarelli, M. Scarpiniti, A. Uncini, 2020, Cognitive Computation.

Prediction of telephone calls load using Echo State Network with exogenous variables

Simone Scardapane, Aurelio Uncini, Antonello Rizzi, 2015, Neural Networks.

Multi-layer perceptrons with discrete weights

Francesco Piazza, Michele Marchesi, Aurelio Uncini, 1990, 1990 IJCNN International Joint Conference on Neural Networks.

Adaptive room acoustic response simulation: a virtual 3D application

Aurelio Uncini, Giovanni Costantini, Daniele Casali, 2003, 2003 IEEE XIII Workshop on Neural Networks for Signal Processing (IEEE Cat. No.03TH8718).

Separation of Drum and Bass from Monaural Tracks

Danilo Comminiello, Simone Scardapane, Michele Scarpiniti, 2017, Neural Advances in Processing Nonlinear Dynamic Signals.

A Quaternion-Valued Variational Autoencoder

Danilo Comminiello, Aurelio Uncini, Eleonora Grassucci, 2020, ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Complex-Valued Neural Networks With Nonparametric Activation Functions

Simone Scardapane, Aurelio Uncini, Amir Hussain, 2018, IEEE Transactions on Emerging Topics in Computational Intelligence.

A COMPARISON BETWEEN REAL AND COMPLEX VALUED NEURAL NETWORKS IN COMMUNICATION APPLICATIONS

Francesco Piazza, Michele Marchesi, Nevio Benvenuto, 1991 .

An Information-Theoretic Perspective on Proper Quaternion Variational Autoencoders

Danilo Comminiello, Aurelio Uncini, Eleonora Grassucci, 2021, Entropy.

Regularising neural networks using flexible multivariate activation function

Aurelio Uncini, Mirko Solazzi, A. Uncini, 2004, Neural Networks.

Granular Computing Techniques for Classification and Semantic Characterization of Structured Data

A. Sadeghian, A. Rizzi, A. Uncini, 2016, Cognitive Computation.

Spline Recurrent Neural Networks for Quad-Tree Video Coding

Raffaele Parisi, Aurelio Uncini, Lorenzo Topi, 2002, WIRN.

Video Compression by Neural Networks

Raffaele Parisi, Aurelio Uncini, Daniele Vigliano, 2005 .

Least Squares Method

Aurelio Uncini, A. Uncini, 2015 .

Flexible estimation of joint probability and joint cumulative density functions

Michele Scarpiniti, Raffaele Parisi, Aurelio Uncini, 2010 .

Semi-supervised Echo State Networks for Audio Classification

Simone Scardapane, Aurelio Uncini, A. Uncini, 2017, Cognitive Computation.

Online Sequential Extreme Learning Machine With Kernels

Danilo Comminiello, Simone Scardapane, Michele Scarpiniti, 2015, IEEE Transactions on Neural Networks and Learning Systems.

Music Genre Classification Using Stacked Auto-Encoders

Danilo Comminiello, Simone Scardapane, Michele Scarpiniti, 2020, Neural Approaches to Dynamics of Signal Exchanges.

Multilayer feedforward networks with adaptive spline activation function

Francesco Piazza, Aurelio Uncini, S. Guarnieri, 1999, IEEE Trans. Neural Networks.

Complex-valued neural networks with adaptive spline activation function for digital-radio-links nonlinear equalization

Paolo Campolucci, Francesco Piazza, Aurelio Uncini, 1999, IEEE Trans. Signal Process..

Nonlinear spline adaptive filtering

Danilo Comminiello, Michele Scarpiniti, Raffaele Parisi, 2013, Signal Process..

Second-Order Adaptive Algorithms

Aurelio Uncini, A. Uncini, 2015 .

GENERALISED BACKPROPAGATION ALGORITHM FOR TRAINING A DATA PREDISTORTER WITH MEMORY IN RADIO SYSTEMS

Francesco Piazza, Nevio Benvenuto, Aurelio Uncini, 1996 .

A neural network approach to data predistortion with memory in digital radio systems

N. Benvenuto, A. Uncini, F. Piazza, 1993, Proceedings of ICC '93 - IEEE International Conference on Communications.

Non linear satellite radio links equalized using blind neural networks

Francesco Piazza, Michele Marchesi, Nevio Benvenuto, 1991, [Proceedings] ICASSP 91: 1991 International Conference on Acoustics, Speech, and Signal Processing.

SmartFog: Training the Fog for the Energy-Saving Analytics of Smart-Meter Data

Enzo Baccarelli, Michele Scarpiniti, Aurelio Uncini, 2019, Applied Sciences.

Full proportionate functional link adaptive filters for nonlinear acoustic echo cancellation

Danilo Comminiello, Michele Scarpiniti, Aurelio Uncini, 2017, 2017 25th European Signal Processing Conference (EUSIPCO).

Hammerstein uniform cubic spline adaptive filters: Learning and convergence properties

Danilo Comminiello, Michele Scarpiniti, Raffaele Parisi, 2014, Signal Process..

Functional Link Adaptive Filters for Nonlinear Acoustic Echo Cancellation

Danilo Comminiello, Michele Scarpiniti, Aurelio Uncini, 2013, IEEE Transactions on Audio, Speech, and Language Processing.

Novel Cascade Spline Architectures for the Identification of Nonlinear Systems

Danilo Comminiello, Michele Scarpiniti, Raffaele Parisi, 2015, IEEE Transactions on Circuits and Systems I: Regular Papers.

New second-order algorithms for recurrent neural networks based on conjugate gradient

Francesco Piazza, Aurelio Uncini, P. Campolucci, 1998, 1998 IEEE International Joint Conference on Neural Networks Proceedings. IEEE World Congress on Computational Intelligence (Cat. No.98CH36227).

A biological approach to plasticity in artificial neural networks

Aurelio Uncini, Gianni Orlandi, F. Piazza, 1991, IJCNN-91-Seattle International Joint Conference on Neural Networks.

An algorithm for dynamically adapting neural network topologies

Michele Marchesi, Aurelio Uncini, Gianni Orlandi, 1991, China., 1991 International Conference on Circuits and Systems.

Neural networks with self-adaptive topology

Francesco Piazza, Michele Marchesi, Aurelio Uncini, 1991, 1991., IEEE International Sympoisum on Circuits and Systems.

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

Danilo Comminiello, Michele Scarpiniti, Raffaele Parisi, 2019, ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

GP-based kernel evolution for L2-Regularization Networks

Danilo Comminiello, Simone Scardapane, Michele Scarpiniti, 2014, 2014 IEEE Congress on Evolutionary Computation (CEC).

Pseudo-Rehearsal for Continual Learning with Normalizing Flows pdf

Simone Scardapane, Aurelio Uncini, Jary Pomponi, 2020, ArXiv.

Neural equalizer with adaptive multidimensional spline activation functions

Francesco Piazza, Aurelio Uncini, Mirko Solazzi, 2000, 2000 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings (Cat. No.00CH37100).

Power-of-two adaptive filters using tabu search

Aurelio Uncini, Stefano Traferro, A. Uncini, 1999, ISCAS'99. Proceedings of the 1999 IEEE International Symposium on Circuits and Systems VLSI (Cat. No.99CH36349).

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

Enzo Baccarelli, Michele Scarpiniti, Aurelio Uncini, 2018, The Journal of Supercomputing.

Regularising neural networks using flexible multivariate activation function

A. Uncini, M. Solazzi, 2004 .

Sparse functional link adaptive filter using an ℓ1-norm regularization

Danilo Comminiello, Simone Scardapane, Michele Scarpiniti, 2018, 2018 IEEE International Symposium on Circuits and Systems (ISCAS).

Nonlinear Acoustic Echo Cancellation Based on Sparse Functional Link Representations

Danilo Comminiello, Michele Scarpiniti, Aurelio Uncini, 2014, IEEE/ACM Transactions on Audio, Speech, and Language Processing.

Frequency-Domain Adaptive Filtering in Hypercomplex Systems

Danilo Comminiello, Michele Scarpiniti, Aurelio Uncini, 2015, Advances in Neural Networks.

Steady-State Performance of Spline Adaptive Filters

Danilo Comminiello, Michele Scarpiniti, Raffaele Parisi, 2016, IEEE Transactions on Signal Processing.

On 4-Dimensional Hypercomplex Algebras in Adaptive Signal Processing

Danilo Comminiello, Michele Scarpiniti, Aurelio Uncini, 2017, Neural Advances in Processing Nonlinear Dynamic Signals.

Convex Combination of Spline Adaptive Filters

Danilo Comminiello, Michele Scarpiniti, Aurelio Uncini, 2019, 2019 27th European Signal Processing Conference (EUSIPCO).

Combined adaptive beamforming schemes for nonstationary interfering noise reduction

Danilo Comminiello, Michele Scarpiniti, Raffaele Parisi, 2013, Signal Process..

Efficient Sound Event Localization and Detection in the Quaternion Domain

D. Comminiello, A. Uncini, Eleonora Grassucci, 2022, IEEE Transactions on Circuits and Systems II: Express Briefs.

Quaternion Convolutional Neural Networks for Detection and Localization of 3D Sound Events

Danilo Comminiello, Simone Scardapane, Aurelio Uncini, 2018, ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Efficient data augmentation using graph imputation neural networks

Simone Scardapane, Michele Scarpiniti, Aurelio Uncini, 2019, IIH-MSP.

Discrete-Time Signals and Circuits Fundamentals

Aurelio Uncini, A. Uncini, 2015 .

Novel mobile palmprint databases for biometric authentication

Aurelio Uncini, Seyyed Mohammad Razavi, Mehran Taghipour-Gorjikolaie, 2019, Int. J. Grid Util. Comput..

A Multimodal Dense U-Net For Accelerating Multiple Sclerosis MRI

Danilo Comminiello, Simone Scardapane, Michele Scarpiniti, 2019, 2019 IEEE 29th International Workshop on Machine Learning for Signal Processing (MLSP).

Deep Region of Interest and Feature Extraction Models for Palmprint Verification Using Convolutional Neural Networks Transfer Learning

Aurelio Uncini, Seyyed Mohammad Razavi, Mehran Taghipour-Gorjikolaie, 2018, Applied Sciences.

Green multimedia wireless sensor networks: distributed intelligent data fusion, in-network processing, and optimized resource management

Enzo Baccarelli, Francesco Chiti, Romano Fantacci, 2014, IEEE Wireless Communications.

Design of multi-layer neural networks with powers-of-two weights

Michele Marchesi, Nevio Benvenuto, Aurelio Uncini, 1990, IEEE International Symposium on Circuits and Systems.

Comparison of four learning algorithms for multilayer perceptron with FIR synapses

Nevio Benvenuto, Aurelio Uncini, F. Piazza, 1994, Proceedings of 1994 IEEE International Conference on Neural Networks (ICNN'94).

Neural networks with adaptive spline activation function

Aurelio Uncini, Francesco Piazza, P. Campolucci, 1996, Proceedings of 8th Mediterranean Electrotechnical Conference on Industrial Applications in Power Systems, Computer Science and Telecommunications (MELECON 96).

Deep Belief Network based audio classification for construction sites monitoring

Michele Scarpiniti, Aurelio Uncini, Yong-Cheol Lee, 2021, Expert Syst. Appl..

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

Danilo Comminiello, Simone Scardapane, Michele Scarpiniti, 2021, 2020 28th European Signal Processing Conference (EUSIPCO).

Combined Sparse Regularization for Nonlinear Adaptive Filters

Danilo Comminiello, Simone Scardapane, Michele Scarpiniti, 2018, 2018 26th European Signal Processing Conference (EUSIPCO).

Recurrent neural networks for signal processing trained by a new second order algorithm

Paolo Campolucci, Aurelio Uncini, Michele Simonetti, 1998, 9th European Signal Processing Conference (EUSIPCO 1998).

Distributed music classification using Random Vector Functional-Link nets

Dianhui Wang, Simone Scardapane, Aurelio Uncini, 2015, 2015 International Joint Conference on Neural Networks (IJCNN).

Compressing deep quaternion neural networks with targeted regularization

Danilo Comminiello, Simone Scardapane, Aurelio Uncini, 2019, CAAI Trans. Intell. Technol..

A Probabilistic Re-Intepretation of Confidence Scores in Multi-Exit Models

A. Uncini, Simone Scardapane, Jary Pomponi, 2021, Entropy.

Flexible Generative Adversarial Networks with Non-parametric Activation Functions

Danilo Comminiello, Simone Scardapane, Aurelio Uncini, 2017, IIH-MSP.

Data Fusion Framework: concurrent architecture for real-time processing

Raffaele Parisi, Aurelio Uncini, Stefano Laoreti, 2008, Int. J. Inf. Commun. Technol..

Bayesian Random Vector Functional-Link Networks for Robust Data Modeling

Dianhui Wang, Simone Scardapane, Aurelio Uncini, 2018, IEEE Transactions on Cybernetics.

Neural networks with digital LUT activation functions

Francesco Piazza, Aurelio Uncini, M. Zenobi, 1993, Proceedings of 1993 International Conference on Neural Networks (IJCNN-93-Nagoya, Japan).

A partitioned frequency domain algorithm for convolutive blind source separation

Michele Scarpiniti, Raffaele Parisi, Aurelio Uncini, 2009, 2009 IEEE International Workshop on Machine Learning for Signal Processing.

Granular Computing Techniques for Classification and Semantic Characterization of Structured Data

Simone Scardapane, Aurelio Uncini, Antonello Rizzi, 2015, Cognitive Computation.

Learning and Approximation Capabilities of Adaptive Spline Activation Function Neural Networks

Francesco Piazza, Aurelio Uncini, Lorenzo Vecci, 1998, Neural Networks.

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

D. Comminiello, M. Scarpiniti, A. Uncini, 2022, 2022 International Joint Conference on Neural Networks (IJCNN).

Quaternion Widely Linear Forecasting of Air Quality

Danilo Comminiello, Michele Scarpiniti, Aurelio Uncini, 2017, IIH-MSP.

Kafnets: kernel-based non-parametric activation functions for neural networks

A. Uncini, Simone Scardapane, S. V. Vaerenbergh, 2017, ArXiv.

Generalizing Medical Image Representations via Quaternion Wavelet Networks

A. Uncini, Eleonora Grassucci, Luigi Sigillo, 2023, ArXiv.

A Multimodal Deep Network for the Reconstruction of T2W MR Images

Danilo Comminiello, Simone Scardapane, Michele Scarpiniti, 2019, IIH-MSP.

Design of hybrid nonlinear spline adaptive filters for active noise control

Nithin V. George, Danilo Comminiello, Michele Scarpiniti, 2016, 2016 International Joint Conference on Neural Networks (IJCNN).

Nonlinear system identification using IIR Spline Adaptive Filters

Danilo Comminiello, Michele Scarpiniti, Raffaele Parisi, 2015, Signal Process..

Improved TDOA disambiguation techniques for sound source localization in reverberant environments

Raffaele Parisi, Aurelio Uncini, Albenzio Cirillo, 2010, Proceedings of 2010 IEEE International Symposium on Circuits and Systems.

Distributed Reservoir Computing with Sparse Readouts [Research Frontier]

Danilo Comminiello, Simone Scardapane, Aurelio Uncini, 2016, IEEE Computational Intelligence Magazine.

23rd Italian Workshop on Neural Networks

Bruno Apolloni, Simone Bassis, Anna Esposito, 2013 .

Deep Recurrent Neural Networks for Audio Classification in Construction Sites

Danilo Comminiello, Michele Scarpiniti, Aurelio Uncini, 2021, 2020 28th European Signal Processing Conference (EUSIPCO).

Low complexity adaptive nonlinear function for blind signal separation

Francesco Piazza, Aurelio Uncini, Mirko Solazzi, 2000, Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks. IJCNN 2000. Neural Computing: New Challenges and Perspectives for the New Millennium.

A Geometrically Constrained ICA Algorithm for Blind Separation in Convolutive Environments

Michele Scarpiniti, Raffaele Parisi, Aurelio Uncini, 2011, WIRN.

Distributed spectral clustering based on Euclidean distance matrix completion

Simone Scardapane, Aurelio Uncini, Massimo Panella, 2016, 2016 International Joint Conference on Neural Networks (IJCNN).

Effective Blind Source Separation Based on the Adam Algorithm pdf

Danilo Comminiello, Simone Scardapane, Michele Scarpiniti, 2016, Multidisciplinary Approaches to Neural Computing.

Proportionate Algorithms for Blind Source Separation

Danilo Comminiello, Simone Scardapane, Michele Scarpiniti, 2013, WIRN.

A novel recurrent network for independent component analysis of post nonlinear convolutive mixtures

Raffaele Parisi, Aurelio Uncini, Daniele Vigliano, 2004, 2004 IEEE International Conference on Acoustics, Speech, and Signal Processing.

Genre classification of compressed audio data

Aurelio Uncini, Antonello Rizzi, Massimo Panella, 2008, 2008 IEEE 10th Workshop on Multimedia Signal Processing.

An IIR architecture for BSS in strong nonlinear convolutive environments

Raffaele Parisi, Aurelio Uncini, Daniele Vigliano, 2006, 2006 IEEE International Symposium on Circuits and Systems.

A Recurrent ICA Approach to a Novel BSS Convolutive Nonlinear Problem

Raffaele Parisi, Aurelio Uncini, Daniele Vigliano, 2005, WIRN/NAIS.

On the use of deep recurrent neural networks for detecting audio spoofing attacks

Simone Scardapane, Aurelio Uncini, Florian Röhrbein, 2017, 2017 International Joint Conference on Neural Networks (IJCNN).

Sound Synthesis by Flexible Activation Function Recurrent Neural Networks

Aurelio Uncini, A. Uncini, 2002, WIRN.

Introduction to Adaptive Signal and Array Processing

Aurelio Uncini, A. Uncini, 2015 .