D. Comminiello

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.

The variable step size regularized block exact affine projection algorithm

Felix Albu, D. Coltuc, M. Scarpiniti, 2012, 2012 10th International Symposium on Electronics and Telecommunications.

L3DAS22 CHALLENGE: MACHINE LEARNING FOR 3D AUDIO SIGNAL PROCESSING

D. Comminiello, E. Guizzo, C. Marinoni, 2021 .

Hypercomplex Image-to-Image Translation

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

PHNNs: Lightweight Neural Networks via Parameterized Hypercomplex Convolutions.

D. Comminiello, Aston Zhang, Eleonora Grassucci, 2021, IEEE transactions on neural networks and learning systems.

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.

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).

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

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

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).

Quaternion Generative Adversarial Networks

D. Comminiello, Eleonora Grassucci, Edoardo Cicero, 2021, Intelligent Systems Reference Library.

Lightweight Convolutional Neural Networks By Hypercomplex Parameterization pdf

Danilo Comminiello, Eleonora Grassucci, Aston Zhang, 2021, ArXiv.

Group sparse regularization for deep neural networks pdf

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

Hypercomplex Neural Architectures for Multi-View Breast Cancer Classification

D. Comminiello, Eleonora Grassucci, E. Lopez, 2022, 2204.05798.

Multi-View Breast Cancer Classification via Hypercomplex Neural Networks

D. Comminiello, Eleonora Grassucci, E. Lopez, 2022, ArXiv.

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).

Separation of Drum and Bass from Monaural Tracks

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

Advances in Complex Systems and Their Applications to Cybersecurity

Danilo Comminiello, Fernando Sánchez Lasheras, Alicja Krzemien, 2019, Complex..

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).

An Information-Theoretic Perspective on Proper Quaternion Variational Autoencoders

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

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.

Nonlinear spline adaptive filtering

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

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.

Generative Semantic Communication: Diffusion Models Beyond Bit Recovery

S. Barbarossa, D. Comminiello, Eleonora Grassucci, 2023, ArXiv.

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).

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.

Learning Speech Emotion Representations in the Quaternion Domain

D. Comminiello, Tillman Weyde, E. Guizzo, 2022, IEEE/ACM Transactions on Audio, Speech, and Language 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).

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 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).

Compressing deep quaternion neural networks with targeted regularization

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

Flexible Generative Adversarial Networks with Non-parametric Activation Functions

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

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

D. Comminiello, Eleonora Grassucci, Luigi Sigillo, 2023, 2023 IEEE International Symposium on Circuits and Systems (ISCAS).

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.

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..

Distributed Reservoir Computing with Sparse Readouts [Research Frontier]

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

Deep Recurrent Neural Networks for Audio Classification in Construction Sites

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

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.

Multi-View Hypercomplex Learning for Breast Cancer Screening

D. Comminiello, Eleonora Grassucci, E. Lopez, 2022, 2204.05798.

Frequency domain quaternion adaptive filters: Algorithms and convergence performance

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

A Quaternion-Valued Variational Autoencoder

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