Aurelio Uncini

发表

Convex combination of MIMO filters for multichannel acoustic echo cancellation

Danilo Comminiello, Simone Scardapane, Michele Scarpiniti, 2013, 2013 8th International Symposium on Image and Signal Processing and Analysis (ISPA).

Artificial neural networks with adaptive multidimensional spline activation functions

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.

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).

Bayesian Neural Networks With Maximum Mean Discrepancy Regularization pdf

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

Benchmarking Functional Link Expansions for Audio Classification Tasks

Danilo Comminiello, Simone Scardapane, Michele Scarpiniti, 2016, Advances in Neural Networks.

On-line learning algorithms for locally recurrent neural networks

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

Combined nonlinear filtering architectures involving sparse functional link adaptive filters

Danilo Comminiello, Michele Scarpiniti, Aurelio Uncini, 2017, Signal Process..

Adaptive Propagation Graph Convolutional Network

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

Optimal Short-Time Features for Music/Speech Classification of Compressed Audio Data

Aurelio Uncini, Antonello Rizzi, Massimo Panella, 2006, 2006 International Conference on Computational Inteligence for Modelling Control and Automation and International Conference on Intelligent Agents Web Technologies and International Commerce (CIMCA'06).

Compressing deep quaternion neural networks with targeted regularization

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

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

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

Discrete-Time Signals and Circuits Fundamentals

Aurelio Uncini, A. Uncini, 2015 .

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.

Semi-supervised Echo State Networks for Audio Classification

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

A CNN Approach for Audio Classification in Construction Sites

Michele Scarpiniti, Aurelio Uncini, Yong-Cheol Lee, 2017, IIH-MSP.

Stereo acoustical echo cancellation based on common poles

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

Dereverberation of Acoustic Signals by Independent Component Analysis

Raffaele Parisi, Aurelio Uncini, Claudio Sistopaoli, 2003, WIRN.

Improved power-of-two sharpening filter design by genetic algorithm

Francesco Piazza, Aurelio Uncini, Paolo Gentili, 1996, 1996 IEEE International Conference on Acoustics, Speech, and Signal Processing Conference Proceedings.

Nonlinear system identification using IIR Spline Adaptive Filters

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

Convex Combination of Spline Adaptive Filters

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

Second-Order Adaptive Algorithms

Aurelio Uncini, A. Uncini, 2015 .

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).

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

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

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.

Multi-stage Collaborative Microphone Array Beamforming in Presence of Nonstationary Interfering Signals

Danilo Comminiello, Aurelio Uncini, M ichele Scarpiniti, 2011 .

Interactive quality enhancement in acoustic echo cancellation

Danilo Comminiello, Simone Scardapane, Michele Scarpiniti, 2013, 2013 36th International Conference on Telecommunications and Signal Processing (TSP).

Neural networks with self-adaptive topology

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

Separation of Drum and Bass from Monaural Tracks

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

Music Genre Classification Using Stacked Auto-Encoders

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

Spline Adaptive Filters

Danilo Comminiello, Michele Scarpiniti, Raffaele Parisi, 2018 .

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

Francesco Piazza, Nevio Benvenuto, Aurelio Uncini, 1996 .

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

Danilo Comminiello, Michele Scarpiniti, Aurelio Uncini, 2019, Algorithms.

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).

A SIMPLE HARDWARE IMPLEMENTATION OF THE TABU SEARCH HEURISTIC FOR DSP APPLICATIONS

Aurelio Uncini, Stefano Traferro, 1999 .

Efficient allocation of power of two terms in FIR digital filter design using tabu search

Francesco Piazza, Aurelio Uncini, Stefano Traferro, 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.

Approximation capabilities of adaptive spline neural networks

Francesco Piazza, Aurelio Uncini, P. Campolucci, 1997, Proceedings of International Conference on Neural Networks (ICNN'97).

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.

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).

Efficient data augmentation using graph imputation neural networks

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

Novel mobile palmprint databases for biometric authentication

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

Audio signal processing byneural networks

Aurelio Uncini, 2003 .

A Signal-Flow-Graph Approach to On-line Gradient Calculation

Paolo Campolucci, Francesco Piazza, Aurelio Uncini, 2000, Neural Computation.

Online Sequential Extreme Learning Machine With Kernels

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

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

Danilo Comminiello, Simone Scardapane, Michele Scarpiniti, 2015, Advances in 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).

Subbands audio signal recovering using neural nonlinear prediction

Aurelio Uncini, Gianandrea Cocchi, 2001, 2001 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings (Cat. No.01CH37221).

Node estimate for sparse random vector functional-link networks

Simone Scardapane, Aurelio Uncini, 2016 .

Data Fusion Framework: concurrent architecture for real-time processing

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

Signal-flow-graph derivation of on-line gradient learning algorithms

Paolo Campolucci, Francesco Piazza, Aurelio Uncini, 1997, Proceedings of International Conference on Neural Networks (ICNN'97).

A Nonlinear Acoustic Echo Canceller with Improved Tracking Capabilities

Danilo Comminiello, Simone Scardapane, Michele Scarpiniti, 2016, Recent Advances in Nonlinear Speech Processing.

Hammerstein uniform cubic spline adaptive filters: Learning and convergence properties

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

On sound source localization with a 3D Ambisonic Monopulse SONAR

Aurelio Uncini, Francesca Ortolani, 2016, 2016 IEEE Radar Methods and Systems Workshop (RMSW).

Flexible Nonlinear Blind Signal Separation in the Complex Domain

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

Missing Data Imputation with Adversarially-trained Graph Convolutional Networks

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

The widely linear block quaternion least mean square algorithm for fast computation in 3D audio systems

Danilo Comminiello, Aurelio Uncini, Francesca Ortolani, 2016, 2016 IEEE 26th International Workshop on Machine Learning for Signal Processing (MLSP).

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.

Automatic Polyphonic Piano Music Transcription by a Multi-classification Discriminative-Learning

Aurelio Uncini, Stefano D'Urso, 2003, WIRN.

Blind source separation of convolutive nonlinear mixtures by flexible spline nonlinear functions

Aurelio Uncini, Mirko Solazzi, Fabio Milani, 2002, 2002 IEEE International Conference on Acoustics, Speech, and Signal Processing.

Special issue on evolving solution with neural networks

Aurelio Uncini, Alessandra Fanni, 2003, Neurocomputing.

A new approach to acoustic beamforming from virtual microphones based on ambisonics for adaptive noise cancelling

Aurelio Uncini, Francesca Ortolani, 2016, 2016 IEEE 36th International Conference on Electronics and Nanotechnology (ELNANO).

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

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

A Supervised Machine Learning-Based Sound Identification for Construction Activity Monitoring and Performance Evaluation

Michele Scarpiniti, Aurelio Uncini, Tianyi Zhang, 2018 .

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.

Linear Prediction and Recursive Order Algorithms

Aurelio Uncini, 2015 .

Discrete Space-Time Filtering

Aurelio Uncini, 2015 .

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).

Group Sparse Regularization for Deep Neural Networks (Forthcoming)

Danilo Comminiello, Simone Scardapane, Aurelio Uncini, 2017 .

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).

A Collaborative Approach to Time-Series Prediction

Danilo Comminiello, Michele Scarpiniti, Raffaele Parisi, 2011, WIRN.

User-driven quality enhancement for audio signal processing

Danilo Comminiello, Simone Scardapane, Michele Scarpiniti, 2013 .

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

Michele Scarpiniti, Aurelio Uncini, Yong-Cheol Lee, 2020, J. Comput. Civ. Eng..

Particle swarm localization of acoustic sources in the presence of reverberation

Raffaele Parisi, Aurelio Uncini, P. Croene, 2006, 2006 IEEE International Symposium on Circuits and Systems.

Frequency-Domain Adaptive Filtering in Hypercomplex Systems

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

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

Simone Scardapane, Aurelio Uncini, Massimo Panella, 2017, IEEE Transactions on Neural Networks and Learning Systems.

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).

An improved LS algorithm for the estimation of an impulsive noise corrupted signal by linear programming

Francesco Piazza, Aurelio Uncini, Gianni Orlandi, 1991, 1991., IEEE International Sympoisum on Circuits and Systems.

Spline Recurrent Neural Networks for Quad-Tree Video Coding

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

On-line Quality Control of DC Permanent Magnet Motor Using Neural Networks

Aurelio Uncini, Mirko Solazzi, 1999 .

A new IIR-MLP learning algorithm for on-line signal processing

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

Efficient DOA estimation by a specific SVD algorithm

Francesco Piazza, Aurelio Uncini, A. Massetani, 1994, Proceedings of IEEE International Symposium on Circuits and Systems - ISCAS '94.

Generalized Splitting 2D Flexible Activation Function

Raffaele Parisi, Aurelio Uncini, Francesca Vitagliano, 2003, WIRN.

Generalized splitting functions for blind separation of complex signals

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

Real time system modelling using locally recurrent neural networks

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).

Fast adaptive IIR-MLP neural networks for signal processing applications

Paolo Campolucci, Francesco Piazza, Aurelio Uncini, 1996, 1996 IEEE International Conference on Acoustics, Speech, and Signal Processing Conference Proceedings.

Complex-Valued Neural Networks With Nonparametric Activation Functions

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

Functional Link Adaptive Filters for Nonlinear Acoustic Echo Cancellation

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

Diffusion spline adaptive filtering

Danilo Comminiello, Simone Scardapane, Michele Scarpiniti, 2016, 2016 24th European Signal Processing Conference (EUSIPCO).

Improving nonlinear modeling capabilities of functional link adaptive filters

Danilo Comminiello, Simone Scardapane, Michele Scarpiniti, 2015, Neural Networks.

Efficient genetic algorithm design for power-of-two FIR filters

Francesco Piazza, Aurelio Uncini, Paolo Gentili, 1995, 1995 International Conference on Acoustics, Speech, and Signal Processing.

Distributed learning for Random Vector Functional-Link networks

Dianhui Wang, Simone Scardapane, Aurelio Uncini, 2015, Inf. Sci..

Widely Linear Kernels for Complex-valued Kernel Activation Functions

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

Advanced intelligent acoustic interfaces for multichannel audio reproduction

Francesco Piazza, Danilo Comminiello, Michele Scarpiniti, 2014, 2014 International Joint Conference on Neural Networks (IJCNN).

Regularising neural networks using flexible multivariate activation function

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

A Functional Link Based Nonlinear Echo Canceller Exploiting Sparsity

Danilo Comminiello, Michele Scarpiniti, Raffaele Parisi, 2010 .

Model order selection for estimation of Common Acoustical Poles

Raffaele Parisi, Aurelio Uncini, Gabriele Bunkheila, 2008, 2008 IEEE International Symposium on Circuits and Systems.

Intelligent acoustic interfaces for immersive audio

Danilo Comminiello, Michele Scarpiniti, Raffaele Parisi, 2013 .

Results on the application of simulated annealing algorithm for the design of digital filters with powers-of-two coefficients

Michele Marchesi, Aurelio Uncini, Nevio Benvenuto, 1990, International Conference on Acoustics, Speech, and Signal Processing.

Video Compression by Neural Networks

Raffaele Parisi, Aurelio Uncini, Daniele Vigliano, 2005 .

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

Danilo Comminiello, Michele Scarpiniti, Aurelio Uncini, 2015, 2015 23rd European Signal Processing Conference (EUSIPCO).

An algorithm for dynamically adapting neural network topologies

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

Neural Network Complexity Reduction Using Adaptive Polynomial Activation Functions

Francesco Piazza, Aurelio Uncini, M. Zenobi, 1993 .

Effective Blind Source Separation Based on the Adam Algorithm pdf

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

Performance of Acoustic Nonlinear Echo Cancellation in the Presence of Reverberation

Michele Scarpiniti, Raffaele Parisi, Aurelio Uncini, 2009 .

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 novel affine projection algorithm for superdirective microphone array beamforming

Danilo Comminiello, Michele Scarpiniti, Raffaele Parisi, 2010, Proceedings of 2010 IEEE International Symposium on Circuits and Systems.

Efficient Continual Learning in Neural Networks with Embedding Regularization pdf

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

Online Selection of Functional Links for Nonlinear System Identification

Danilo Comminiello, Simone Scardapane, Michele Scarpiniti, 2015, Advances in Neural Networks.

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).

Complex domain flexible non-linear function for blind signal separation

Francesco Piazza, Aurelio Uncini, S. Barbabella, 2001, ISCAS 2001. The 2001 IEEE International Symposium on Circuits and Systems (Cat. No.01CH37196).

A Preliminary Study on Transductive Extreme Learning Machines

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

Evolutionary design of FIR digital filters with power-of-two coefficients

Francesco Piazza, Aurelio Uncini, Paolo Gentili, 1994, Proceedings of the First IEEE Conference on Evolutionary Computation. IEEE World Congress on Computational Intelligence.

Improving Graph Convolutional Networks with Non-Parametric Activation Functions

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

Coarse-grained processor array implementing the multilayer neural network model

Francesco Piazza, Michele Marchesi, Aurelio Uncini, 1990, IEEE International Symposium on Circuits and Systems.

Backpropagation without multiplier for multilayer neural networks

Francesco Piazza, Michele Marchesi, Aurelio Uncini, 1996 .

An interpretable graph-based image classifier

Simone Scardapane, Aurelio Uncini, Lorenzo Livi, 2014, 2014 International Joint Conference on Neural Networks (IJCNN).

A Multimodal Deep Network for the Reconstruction of T2W MR Images

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

Frequency recovery of narrow-band speech using adaptive spline neural networks

Francesco Piazza, Aurelio Uncini, Frencesco Gobbi, 1999, 1999 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings. ICASSP99 (Cat. No.99CH36258).

First-Order Adaptive Algorithms

Aurelio Uncini, 2015 .

Group sparse regularization for deep neural networks pdf

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

Optimal Linear Filter Theory

Aurelio Uncini, 2015 .

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.

Cepstrum Prefiltering for Binaural Source Localization in Reverberant Environments

Michele Scarpiniti, Raffaele Parisi, Aurelio Uncini, 2012, IEEE Signal Processing Letters.

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

Michele Scarpiniti, Raffaele Parisi, Aurelio Uncini, 2010, 2010 18th European Signal Processing Conference.

Intelligent Acoustic Interfaces With Multisensor Acquisition for Immersive Reproduction

Francesco Piazza, Danilo Comminiello, Michele Scarpiniti, 2015, IEEE Transactions on Multimedia.

Learning activation functions from data using cubic spline interpolation

Danilo Comminiello, Simone Scardapane, Michele Scarpiniti, 2020, Neural Advances in Processing Nonlinear Dynamic Signals.

Deep Recurrent Neural Networks for Audio Classification in Construction Sites

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

Introduction to Adaptive Signal and Array Processing

Aurelio Uncini, A. Uncini, 2015 .

Learning of physical-like sound synthesis models by adaptive spline recurrent neural networks

Aurelio Uncini, F. Iannelli, 2002 .

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

Danilo Comminiello, Michele Scarpiniti, Raffaele Parisi, 2015, Advances in Neural Networks.

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).

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

Danilo Comminiello, Simone Scardapane, Michele Scarpiniti, 2012, WIRN.

Combined Sparse Regularization for Nonlinear Adaptive Filters

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

An adaptive neural network filter for evoked potentials

Michele Marchesi, Aurelio Uncini, Gianni Orlandi, 1990, IEEE International Symposium on Circuits and Systems.

Functional Link Adaptive Filters for Nonlinear

Danilo Comminiello, Michele Scarpiniti, Aurelio Uncini, 2013 .

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

Danilo Comminiello, Simone Scardapane, Michele Scarpiniti, 2016, Inf. Sci..

Music classification using extreme learning machines

Danilo Comminiello, Simone Scardapane, Michele Scarpiniti, 2013, 2013 8th International Symposium on Image and Signal Processing and Analysis (ISPA).

Combined adaptive beamforming techniques for noise reduction in changing environments

Danilo Comminiello, Michele Scarpiniti, Raffaele Parisi, 2013, 2013 36th International Conference on Telecommunications and Signal Processing (TSP).

Sound Synthesis by Flexible Activation Function Recurrent Neural Networks

Aurelio Uncini, A. Uncini, 2002, WIRN.

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

Michele Scarpiniti, Raffaele Parisi, Aurelio Uncini, 2010, WIRN.

Improved evoked potential estimation using neural network

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

Dynamic Topology Neural Network

Francesco Piazza, Michele Marchesi, Aurelio Uncini, 1990 .

Audio signal processing by neural networks

Aurelio Uncini, A. Uncini, 2003, Neurocomputing.

On-line learning algorithms for neural networks with IIR synapses

Francesco Piazza, Aurelio Uncini, P. Campolucci, 1995, Proceedings of ICNN'95 - International Conference on Neural Networks.

Quaternion Widely Linear Forecasting of Air Quality

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

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.

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.

Combined adaptive beamforming schemes for nonstationary interfering noise reduction

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

Applications of simulated annealing for the design of special digital filters

Michele Marchesi, Nevio Benvenuto, Aurelio Uncini, 1992, IEEE Trans. Signal Process..

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

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

A Collaborative Filter Approach to Adaptive Noise Cancellation

Danilo Comminiello, Michele Scarpiniti, Raffaele Parisi, 2012, WIRN.

RECURRENT NEURAL NETWORKS WITH FLEXIBLE GATES USING KERNEL ACTIVATION FUNCTIONS

Danilo Comminiello, Simone Scardapane, Aurelio Uncini, 2018, 2018 IEEE 28th International Workshop on Machine Learning for Signal Processing (MLSP).

On 4-Dimensional Hypercomplex Algebras in Adaptive Signal Processing

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

Acoustic echo cancellation in the presence of distorting loudspeakers

Raffaele Parisi, Aurelio Uncini, Andrea Nalin, 2002, 2002 11th European Signal Processing Conference.

Binaural sound source localization in the presence of reverberation

Raffaele Parisi, Aurelio Uncini, Cecilia Maria Zannini, 2011, 2011 17th International Conference on Digital Signal Processing (DSP).

GP-based kernel evolution for L2-Regularization Networks

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

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.

Multi-layer perceptrons with discrete weights

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

Flexible Generative Adversarial Networks with Non-parametric Activation Functions

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

Distributed Reservoir Computing with Sparse Readouts [Research Frontier]

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

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.

finite wordlength digital filter design using an annealing algorithm

Francesco Piazza, Michele Marchesi, Nevio Benvenuto, 1989, International Conference on Acoustics, Speech, and Signal Processing,.

Causal back propagation through time for locally recurrent neural networks

Francesco Piazza, Aurelio Uncini, P. Campolucci, 1996, 1996 IEEE International Symposium on Circuits and Systems. Circuits and Systems Connecting the World. ISCAS 96.

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

Danilo Comminiello, Simone Scardapane, Michele Scarpiniti, 2014, 2014 International Joint Conference on Neural Networks (IJCNN).

Sound mapping in reverberant rooms by a robust direct method

Raffaele Parisi, Aurelio Uncini, Albenzio Cirillo, 2008, 2008 IEEE International Conference on Acoustics, Speech and Signal Processing.

Nonlinear spline adaptive filtering

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

A new consistency measure for localization of sound sources in the presence of reverberation

Raffaele Parisi, Aurelio Uncini, Albenzio Cirillo, 2009, 2009 16th International Conference on Digital Signal Processing.

Source Localization in Reverberant Environments by Consistent Peak Selection

Raffaele Parisi, Aurelio Uncini, Massimo Panella, 2007, 2007 IEEE International Conference on Acoustics, Speech and Signal Processing - ICASSP '07.

Complex Neural Networks for Equalizing Nonlinear Digital Radio Links

Michele Marchesi, Nevio Benvenuto, Aurelio Uncini, 1991 .

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).

Neural networks with adaptive spline activation function

Complex discriminative learning Bayesian neural equalizer

Raffaele Parisi, Aurelio Uncini, Mirko Solazzi, 1999, ISCAS'99. Proceedings of the 1999 IEEE International Symposium on Circuits and Systems VLSI (Cat. No.99CH36349).

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).

Block and Transform Domain Algorithms

Aurelio Uncini, 2015 .

Distributed semi-supervised support vector machines

Simone Scardapane, Aurelio Uncini, Massimo Panella, 2016, Neural Networks.

A Framework for Adaptive Real-Time Loudness Control

Danilo Comminiello, Simone Scardapane, Aurelio Uncini, 2013 .

Advances in hypercomplex adaptive filtering for 3D audio processing

Danilo Comminiello, Michele Scarpiniti, Aurelio Uncini, 2017, 2017 IEEE First Ukraine Conference on Electrical and Computer Engineering (UKRCON).

A Flexible Natural Gradient Approach to Blind Separation of Complex Signals

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

A unified approach to laterally-connected neural NETS

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

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).

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.

Distributed music classification using Random Vector Functional-Link nets

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

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).

Localization of audio sources by multiple binaural sensors

Michele Scarpiniti, Raffaele Parisi, Aurelio Uncini, 2013, 2013 18th International Conference on Digital Signal Processing (DSP).

Frequency domain quaternion adaptive filters: Algorithms and convergence performance

Danilo Comminiello, Michele Scarpiniti, Aurelio Uncini, 2017, Signal Process..

A Flexible ICA Approach to a Novel BSS Convolutive Nonlinear Problem: Preliminary Results

Raffaele Parisi, Aurelio Uncini, Daniele Vigliano, 2004, WIRN.

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.

Multilayer feedforward networks with adaptive spline activation function

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

Functional link expansions for nonlinear modeling of audio and speech signals

Danilo Comminiello, Simone Scardapane, Michele Scarpiniti, 2015, 2015 International Joint Conference on Neural Networks (IJCNN).

Processing of audio signals by neural networks

Aurelio Uncini, 2003 .

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).

Complex discriminative learning Bayesian neural equalizer

Raffaele Parisi, Aurelio Uncini, Mirko Solazzi, 2001, Signal Process..

WEIGHTED SOUNDFIELD SYNTHESIS: A PERCEPTUAL APPROACH

Aurelio Uncini, Davide Renzi, Raffaele Pafusi, 2005 .

Privacy-Preserving Data Mining for Distributed Medical Scenarios

Simone Scardapane, Aurelio Uncini, Massimo Panella, 2018, Multidisciplinary Approaches to Neural Computing.

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

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

Fast neural networks without multipliers

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

Guest Editorial Special Section on Blind Signal Processing and Its Applications

Wei Xing Zheng, Andrzej Cichocki, Aurelio Uncini, 2010, IEEE Trans. Circuits Syst. I Regul. Pap..

Optimal weighted LS AR estimation in presence of impulsive noise

Aurelio Uncini, Gianni Orlandi, Elio D. Di Claudio, 1991, [Proceedings] ICASSP 91: 1991 International Conference on Acoustics, Speech, and Signal Processing.

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..

A Unifying View of Gradient Calculations and Learning for Locally Recurrent Neural Networks

Francesco Piazza, Aurelio Uncini, P. Campolucci, 1998 .

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

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

A class of fast complex domain neural networks for signal processing applications

Francesco Piazza, Aurelio Uncini, 1998, 9th European Signal Processing Conference (EUSIPCO 1998).

HELM: High Efficiency Loudness Model for Broadcast Content

Aurelio Uncini, Alessandro Travaglini, Andrea Alemanno, 2012 .

Bayesian Random Vector Functional-Link Networks for Robust Data Modeling

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

Novel decorrelation approach for an advanced multichannel acoustic echo cancellation system

Francesco Piazza, Danilo Comminiello, Aurelio Uncini, 2014, 2014 22nd European Signal Processing Conference (EUSIPCO).

Nonlinear ICA solutions for convolutive mixing of PNL mixtures

Raffaele Parisi, Aurelio Uncini, Daniele Vigliano, 2004, 2004 IEEE International Symposium on Circuits and Systems (IEEE Cat. No.04CH37512).

Back Propagation without Multipliers for Pattern Recognition

Michele Marchesi, Aurelio Uncini, Francesco Piazza, 1993 .

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

Michele Scarpiniti, Raffaele Parisi, Aurelio Uncini, 2006, 2006 14th European Signal Processing Conference.

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.

On-Line Algorithms for Neural Networks with IIR Synapses

Francesco Piazza, Aurelio Uncini, P. Campolucci, 2000 .

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).

Novel mobile palmprint databases for biometric authentication

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

On the Stability and Generalization of Learning with Kernel Activation Functions pdf

Simone Scardapane, Aurelio Uncini, Steven Van Vaerenbergh, 2019, ArXiv.

Pseudo-Rehearsal for Continual Learning with Normalizing Flows pdf

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

Dynamical systems learning by a circuit theoretic approach

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

Blind signal processing by complex domain adaptive spline neural networks

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

Proportionate Algorithms for Blind Source Separation

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

A Geometrically Constrained ICA Algorithm for Blind Separation in Convolutive Environments

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

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

Enzo Baccarelli, Simone Scardapane, Michele Scarpiniti, 2020, Inf. Sci..

Quaternion-Valued Variational Autoencoder pdf

Danilo Comminiello, Aurelio Uncini, Eleonora Grassucci, 2020, ArXiv.

Granular Computing Techniques for Classification and Semantic Characterization of Structured Data

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

A Partitioned Frequency Block Algorithm for Blind Separation in Reverberant Environments

Michele Scarpiniti, Raffaele Parisi, Aurelio Uncini, 2009, WIRN.

An Efficient Nonlinear Acoustic Echo Canceller for Low-Cost Audio Devices

Danilo Comminiello, Aurelio Uncini, Antonio Grosso, 2013 .

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

Danilo Comminiello, Michele Scarpiniti, Raffaele Parisi, 2011, 2011 17th International Conference on Digital Signal Processing (DSP).

Distributed spectral clustering based on Euclidean distance matrix completion

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

Flexible blind signal separation in the complex domain

Michele Scarpiniti, Raffaele Parisi, Aurelio Uncini, 2009 .

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.

A Data-Flow Linear Array Implementing Neural Network Architectures

Michele Marchesi, Aurelio Uncini, Gianni Orlandi, 1990 .

An interactive optimization procedure for stereophonic acoustic echo cancellation systems

Francesco Piazza, Danilo Comminiello, Michele Scarpiniti, 2015, 2015 International Joint Conference on Neural Networks (IJCNN).

A Comparison of Consensus Strategies for Distributed Learning of Random Vector Functional-Link Networks

Simone Scardapane, Aurelio Uncini, Massimo Panella, 2016, Advances in Neural Networks.

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

Francesco Piazza, Michele Marchesi, Nevio Benvenuto, 1991 .

BLIND SOURCE SEPARATION IN NONLINEAR MIXTURES BY ADAPTIVE SPLINE NEURAL NETWORKS

Raffaele Parisi, Aurelio Uncini, Mirko Solazzi, 2001 .

Fundamentals of Adaptive Signal Processing

Aurelio Uncini, 2014 .

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

Danilo Comminiello, Simone Scardapane, Michele Scarpiniti, 2020, Neural Advances in Processing Nonlinear Dynamic Signals.

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

Danilo Comminiello, Michele Scarpiniti, Aurelio Uncini, 2016, 2016 IEEE 26th International Workshop on Machine Learning for Signal Processing (MLSP).

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).

Genre classification of compressed audio data

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

Guest Editorial Special Issue on Computational Intelligence for End-to-End Audio Processing

Björn W. Schuller, Aurelio Uncini, Stefano Squartini, 2018, IEEE Trans. Emerg. Top. Comput. Intell..

A Recurrent ICA Approach to a Novel BSS Convolutive Nonlinear Problem

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

Subband neural networks prediction for on-line audio signal recovery

Aurelio Uncini, Gianandrea Cocchi, 2002, IEEE Trans. Neural Networks.

Learning and Approximation Capabilities of Adaptive Spline Activation Function Neural Networks

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

Steady-State Performance of Spline Adaptive Filters

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

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).

Gradient-based blind deconvolutions with flexible approximated Bayesian estimator

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

Real-time room acoustic response simulation by IIR adaptive filter

Aurelio Uncini, Giovanni Costantini, 2003 .

Why Should We Add Early Exits to Neural Networks?

Enzo Baccarelli, Simone Scardapane, Michele Scarpiniti, 2020, Cognitive Computation.

Blind deconvolution by modified Bussgang algorithm

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 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).

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).

Adaptive Propagation Graph Convolutional Network

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

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

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

An Information-Theoretic Perspective on Proper Quaternion Variational Autoencoders

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

Biased Edge Dropout for Enhancing Fairness in Graph Representation Learning pdf

Simone Scardapane, Aurelio Uncini, Amir Hussain, 2021, ArXiv.

Deep Belief Network based audio classification for construction sites monitoring

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

A Meta-Learning Approach for Training Explainable Graph Neural Networks pdf

Simone Scardapane, Aurelio Uncini, Indro Spinelli, 2021, ArXiv.

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

Danilo Comminiello, Simone Scardapane, Michele Scarpiniti, 2021, ArXiv.

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).

Least Squares Method

Aurelio Uncini, A. Uncini, 2015 .

Widely linear quaternion adaptive filtering in the frequency domain

Aurelio Uncini, Francesca Ortolani, 2016, 2016 IEEE International Conference on Mathematical Methods in Electromagnetic Theory (MMET).

Flexible estimation of joint probability and joint cumulative density functions

Michele Scarpiniti, Raffaele Parisi, Aurelio Uncini, 2010 .

Pseudo-Rehearsal for Continual Learning with Normalizing Flows pdf

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

An adaptive spline non-linear function for blind signal processing

Aurelio Uncini, Mirko Solazzi, F. Piazza, 2000, Neural Networks for Signal Processing X. Proceedings of the 2000 IEEE Signal Processing Society Workshop (Cat. No.00TH8501).

Neural Learning and Weight Flow on Stiefel Manifold

Francesco Piazza, Aurelio Uncini, Simone Fiori, 1999 .

Convergence properties of nonlinear functional link adaptive filters

Danilo Comminiello, Michele Scarpiniti, Raffaele Parisi, 2013 .