Danilo Comminiello

According to our database, Danilo Comminiello authored at least 116 papers between 2010 and 2024.

Collaborative distances:

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

2024

Ship in Sight: Diffusion Models for Ship-Image Super Resolution.

Luigi Sigillo, Riccardo Fosco Gramaccioni, Alessandro Nicolosi, Danilo Comminiello

CoRR, 2024

Towards Explaining Hypercomplex Neural Networks.

Eleonora Lopez, Eleonora Grassucci, Debora Capriotti, Danilo Comminiello

CoRR, 2024

Semantic Communication Challenges: Understanding Dos and Avoiding Don'ts.

Jinho Choi, Jihong Park, Eleonora Grassucci, Danilo Comminiello

CoRR, 2024

Generative AI Meets Semantic Communication: Evolution and Revolution of Communication Tasks.

Eleonora Grassucci, Jihong Park, Sergio Barbarossa, Seong-Lyun Kim, Jinho Choi, Danilo Comminiello

CoRR, 2024

2023

Semantic Communications Based on Adaptive Generative Models and Information Bottleneck.

Sergio Barbarossa, Danilo Comminiello, Eleonora Grassucci, Francesco Pezone, Stefania Sardellitti, Paolo Di Lorenzo

IEEE Commun. Mag., November, 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

Dual quaternion ambisonics array for six-degree-of-freedom acoustic representation.

Eleonora Grassucci, Gioia Mancini, Christian Brignone, Aurelio Uncini, Danilo Comminiello

Pattern Recognit. Lett., February, 2023

Learning Speech Emotion Representations in the Quaternion Domain.

Eric Guizzo, Tillman Weyde, Simone Scardapane, Danilo Comminiello

IEEE ACM Trans. Audio Speech Lang. Process., 2023

GROUSE: A Task and Model Agnostic Wavelet- Driven Framework for Medical Imaging.

Eleonora Grassucci, Luigi Sigillo, Aurelio Uncini, Danilo Comminiello

IEEE Signal Process. Lett., 2023

GATSY: Graph Attention Network for Music Artist Similarity.

Andrea Giuseppe Di Francesco, Giuliano Giampietro, Indro Spinelli, Danilo Comminiello

CoRR, 2023

SyncFusion: Multimodal Onset-synchronized Video-to-Audio Foley Synthesis.

Marco Comunità, Riccardo F. Gramaccioni, Emilian Postolache, Emanuele Rodolà, Danilo Comminiello, Joshua D. Reiss

CoRR, 2023

Generalizing Medical Image Representations via Quaternion Wavelet Networks.

Luigi Sigillo, Eleonora Grassucci, Aurelio Uncini, Danilo Comminiello

CoRR, 2023

Attention-Map Augmentation for Hypercomplex Breast Cancer Classification.

Eleonora Lopez, Filippo Betello, Federico Carmignani, Eleonora Grassucci, Danilo Comminiello

CoRR, 2023

Diffusion models for audio semantic communication.

Eleonora Grassucci, Christian Marinoni, Andrea Rodriguez, Danilo Comminiello

CoRR, 2023

Enhancing Semantic Communication with Deep Generative Models - An ICASSP Special Session Overview.

Eleonora Grassucci, Yuki Mitsufuji, Ping Zhang, Danilo Comminiello

CoRR, 2023

Generative Semantic Communication: Diffusion Models Beyond Bit Recovery.

Eleonora Grassucci, Sergio Barbarossa, Danilo Comminiello

CoRR, 2023

Quaternion Anti-Transfer Learning for Speech Emotion Recognition.

Eric Guizzo, Tillman Weyde, Giacomo Tarroni, Danilo Comminiello

Proceedings of the IEEE Workshop on Applications of Signal Processing to Audio and Acoustics, 2023

Dual Quaternion Rotational and Translational Equivariance in 3D Rigid Motion Modelling.

Guilherme Vieira, Eleonora Grassucci, Marcos Eduardo Valle, Danilo Comminiello

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

Sailing the Seaformer: A Transformer-Based Model for Vessel Route Forecasting.

Luigi Sigillo, Alessandro Marzilli, Daniela Moretti, Eleonora Grassucci, Claudio Greco, Danilo Comminiello

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

Phydi: Initializing Parameterized Hypercomplex Neural Networks As Identity Functions.

Matteo Mancanelli, Eleonora Grassucci, Aurelio Uncini, Danilo Comminiello

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

StawGAN: Structural-Aware Generative Adversarial Networks for Infrared Image Translation.

Luigi Sigillo, Eleonora Grassucci, Danilo Comminiello

Proceedings of the IEEE International Symposium on Circuits and Systems, 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

Quaternion Neural Networks for Multidimensional Applications: An Overview.

Arturo Buscarino, Carlo Famoso, Danilo Comminiello, Luca Patané

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

Frequency-Domain Functional Links For Nonlinear Feedback Cancellation In Hearing Aids.

Alireza Nezamdoust, Mandar Gogate, Kia Dashtipour, Amir Hussain, Danilo Comminiello

Proceedings of the IEEE International Conference on Acoustics, 2023

Overview of the L3DAS23 Challenge on Audio-Visual Extended Reality.

Christian Marinoni, Riccardo F. Gramaccioni, Changan Chen, Aurelio Uncini, Danilo Comminiello

Proceedings of the IEEE International Conference on Acoustics, 2023

Hypercomplex Multimodal Emotion Recognition from EEG and Peripheral Physiological Signals.

Eleonora Lopez, Eleonora Chiarantano, Eleonora Grassucci, Danilo Comminiello

Proceedings of the IEEE International Conference on Acoustics, 2023

2022

Efficient Sound Event Localization and Detection in the Quaternion Domain.

Christian Brignone, Gioia Mancini, Eleonora Grassucci, Aurelio Uncini, Danilo Comminiello

IEEE Trans. Circuits Syst. II Express Briefs, 2022

Multi-View Breast Cancer Classification via Hypercomplex Neural Networks.

Eleonora Lopez, Eleonora Grassucci, Martina Valleriani, Danilo Comminiello

CoRR, 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

Hypercomplex Image- to- Image Translation.

Eleonora Grassucci, Luigi Sigillo, Aurelio Uncini, Danilo Comminiello

Proceedings of the International Joint Conference on Neural Networks, 2022

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

Eric Guizzo, Christian Marinoni, Marco Pennese, Xinlei Ren, Xiguang Zheng, Chen Zhang, Bruno S. Masiero, Aurelio Uncini, Danilo Comminiello

Proceedings of the IEEE International Conference on Acoustics, 2022

Visual Odometry with Depth-Wise Separable Convolution and Quaternion Neural Networks (short paper).

Giorgio De Magistris, Danilo Comminiello, Christian Napoli, Janusz T. Starczewski

Proceedings of the 9th Italian Workshop on Artificial Intelligence and Robotics co-located with the the 21th International Conference of the Italian Association for Artificial Intelligence, 2022

2021

An Information-Theoretic Perspective on Proper Quaternion Variational Autoencoders.

Eleonora Grassucci, Danilo Comminiello, Aurelio Uncini

Entropy, 2021

Lightweight Convolutional Neural Networks By Hypercomplex Parameterization.

Eleonora Grassucci, Aston Zhang, Danilo Comminiello

CoRR, 2021

Quaternion Generative Adversarial Networks.

Eleonora Grassucci, Edoardo Cicero, Danilo Comminiello

CoRR, 2021

L3DAS21 Challenge: Machine Learning for 3D Audio Signal Processing.

Eric Guizzo, Riccardo F. Gramaccioni, Saeid Jamili, Christian Marinoni, Edoardo Massaro, Claudia Medaglia, Giuseppe Nachira, Leonardo Nucciarelli, Ludovica Paglialunga, Marco Pennese, Sveva Pepe, Enrico Rocchi, Aurelio Uncini, Danilo Comminiello

Proceedings of the 2021 IEEE 31st International Workshop on Machine Learning for Signal Processing (MLSP), 2021

A Quaternion-Valued Variational Autoencoder.

Eleonora Grassucci, Danilo Comminiello, Aurelio Uncini

Proceedings of the IEEE International Conference on Acoustics, 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

Compressing deep-quaternion neural networks with targeted regularisation.

Riccardo Vecchi, Simone Scardapane, Danilo Comminiello, Aurelio Uncini

CAAI Trans. Intell. Technol., 2020

Quaternion Neural Networks for 3D Sound Source Localization in Reverberant Environments.

Michela Ricciardi Celsi, Simone Scardapane, Danilo Comminiello

Proceedings of the 30th IEEE International Workshop on Machine Learning for Signal Processing, 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

Compressing deep quaternion neural networks with targeted regularization.

Riccardo Vecchi, Simone Scardapane, Danilo Comminiello, Aurelio Uncini

CoRR, 2019

Advances in Complex Systems and Their Applications to Cybersecurity.

Fernando Sánchez Lasheras, Danilo Comminiello, Alicja Krzemien

Complex., 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 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

Widely Linear Kernels for Complex-valued Kernel Activation Functions.

Simone Scardapane, Steven Van Vaerenbergh, Danilo Comminiello, Aurelio Uncini

Proceedings of the IEEE International Conference on Acoustics, 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

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

Danilo Comminiello, Marco Lella, Simone Scardapane, 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

Recurrent Neural Networks with flexible Gates using Kernel activation Functions.

Simone Scardapane, Steven Van Vaerenbergh, Danilo Comminiello, Simone Totaro, Aurelio Uncini

Proceedings of the 28th IEEE International Workshop on Machine Learning for Signal Processing, 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

Improving Graph Convolutional Networks with Non-Parametric Activation Functions.

Simone Scardapane, Steven Van Vaerenbergh, Danilo Comminiello, Aurelio Uncini

Proceedings of the 26th European Signal Processing Conference, 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

Group sparse regularization for deep neural networks.

Simone Scardapane, Danilo Comminiello, Amir Hussain, Aurelio Uncini

Neurocomputing, 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

Flexible Generative Adversarial Networks with Non-parametric Activation Functions.

Eleonora Grassucci, Simone Scardapane, Danilo Comminiello, 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

Introducing complex functional link polynomial filters.

Alberto Carini, Danilo Comminiello

Proceedings of the 2017 IEEE International Conference on Acoustics, 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

Adaptive Algorithms for Intelligent Acoustic Interfaces.

Danilo Comminiello

PhD thesis, 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

Distributed Reservoir Computing with Sparse Readouts [Research Frontier].

Simone Scardapane, Massimo Panella, Danilo Comminiello, Amir Hussain, Aurelio Uncini

IEEE Comput. Intell. Mag., 2016

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

Francesca Ortolani, Danilo Comminiello, Aurelio Uncini

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

A split kernel adaptive filtering architecture for nonlinear acoustic echo cancellation.

Steven Van Vaerenbergh, Luis Antonio Azpicueta-Ruiz, Danilo Comminiello

Proceedings of the 24th European Signal Processing Conference, 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

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

Simone Scardapane, Massimo Panella, Danilo Comminiello, Aurelio Uncini

Proceedings of the INNS Conference on Big Data 2015, 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

Novel decorrelation approach for an advanced multichannel acoustic echo cancellation system.

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

Proceedings of the 22nd European Signal Processing Conference, 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

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 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