Danilo Comminiello

According to our database1, Danilo Comminiello authored at least 82 papers between 2010 and 2021.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Online presence:

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Bibliography

2021
An Information-Theoretic Perspective on Proper Quaternion Variational Autoencoders.
Entropy, 2021

A New Class of Efficient Adaptive Filters for Online Nonlinear Modeling.
CoRR, 2021

Quaternion Generative Adversarial Networks.
CoRR, 2021

L3DAS21 Challenge: Machine Learning for 3D Audio Signal Processing.
CoRR, 2021

A Quaternion-Valued Variational Autoencoder.
Proceedings of the IEEE International Conference on Acoustics, 2021

2020
Music Genre Classification Using Stacked Auto-Encoders.
Proceedings of the Neural Approaches to Dynamics of Signal Exchanges, 2020

Separation of Drum and Bass from Monaural Tracks.
Proceedings of the Neural Advances in Processing Nonlinear Dynamic Signals, 2020

Learning Activation Functions from Data Using Cubic Spline Interpolation.
Proceedings of the Neural Advances in Processing Nonlinear Dynamic Signals, 2020

On 4-Dimensional Hypercomplex Algebras in Adaptive Signal Processing.
Proceedings of the Neural Advances in Processing Nonlinear Dynamic Signals, 2020

A Low-Complexity Linear-in-the-Parameters Nonlinear Filter for Distorted Speech Signals.
Proceedings of the Neural Advances in Processing Nonlinear Dynamic Signals, 2020

Compressing deep-quaternion neural networks with targeted regularisation.
CAAI Trans. Intell. Technol., 2020

Quaternion Neural Networks for 3D Sound Source Localization in Reverberant Environments.
Proceedings of the 30th IEEE International Workshop on Machine Learning for Signal Processing, 2020

Differentiable Branching In Deep Networks for Fast Inference.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Deep Recurrent Neural Networks for Audio Classification in Construction Sites.
Proceedings of the 28th European Signal Processing Conference, 2020

A Wide Multimodal Dense U-Net for Fast Magnetic Resonance Imaging.
Proceedings of the 28th European Signal Processing Conference, 2020

2019
A Multimodal Deep Network for the Reconstruction of T2W MR Images.
CoRR, 2019

Compressing deep quaternion neural networks with targeted regularization.
CoRR, 2019

Advances in Complex Systems and Their Applications to Cybersecurity.
Complex., 2019

Steady-State Performance of an Adaptive Combined MISO Filter Using the Multichannel Affine Projection Algorithm.
Algorithms, 2019

A Multimodal Dense U-Net For Accelerating Multiple Sclerosis MRI.
Proceedings of the 29th IEEE International Workshop on Machine Learning for Signal Processing, 2019

Widely Linear Kernels for Complex-valued Kernel Activation Functions.
Proceedings of the IEEE International Conference on Acoustics, 2019

Frequency-domain Adaptive Filtering: from Real to Hypercomplex Signal Processing.
Proceedings of the IEEE International Conference on Acoustics, 2019

Quaternion Convolutional Neural Networks for Detection and Localization of 3D Sound Events.
Proceedings of the IEEE International Conference on Acoustics, 2019

Convex Combination of Spline Adaptive Filters.
Proceedings of the 27th European Signal Processing Conference, 2019

2018
Effective Blind Source Separation Based on the Adam Algorithm.
Proceedings of the Multidisciplinary Approaches to Neural Computing, 2018

Recurrent Neural Networks with flexible Gates using Kernel activation Functions.
Proceedings of the 28th IEEE International Workshop on Machine Learning for Signal Processing, 2018

Sparse functional link adaptive filter using an ℓ<sub>1</sub>-norm regularization.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2018

Improving Graph Convolutional Networks with Non-Parametric Activation Functions.
Proceedings of the 26th European Signal Processing Conference, 2018

Combined Sparse Regularization for Nonlinear Adaptive Filters.
Proceedings of the 26th European Signal Processing Conference, 2018

2017
Frequency domain quaternion adaptive filters: Algorithms and convergence performance.
Signal Process., 2017

Combined nonlinear filtering architectures involving sparse functional link adaptive filters.
Signal Process., 2017

Group sparse regularization for deep neural networks.
Neurocomputing, 2017

Quaternion Widely Linear Forecasting of Air Quality.
Proceedings of the Advances in Intelligent Information Hiding and Multimedia Signal Processing, 2017

Flexible Generative Adversarial Networks with Non-parametric Activation Functions.
Proceedings of the Advances in Intelligent Information Hiding and Multimedia Signal Processing, 2017

A Multimodal Deep Network for the Reconstruction of T2W MR Images.
Proceedings of the Advances in Intelligent Information Hiding and Multimedia Signal Processing, 2017

Introducing complex functional link polynomial filters.
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

Full proportionate functional link adaptive filters for nonlinear acoustic echo cancellation.
Proceedings of the 25th European Signal Processing Conference, 2017

2016
Benchmarking Functional Link Expansions for Audio Classification Tasks.
Proceedings of the Advances in Neural Networks - Computational Intelligence for ICT, 2016

Frequency-Domain Adaptive Filtering in Hypercomplex Systems.
Proceedings of the Advances in Neural Networks - Computational Intelligence for ICT, 2016

A Nonlinear Acoustic Echo Canceller with Improved Tracking Capabilities.
Proceedings of the Recent Advances in Nonlinear Speech Processing, 2016

Steady-State Performance of Spline Adaptive Filters.
IEEE Trans. Signal Process., 2016

A semi-supervised random vector functional-link network based on the transductive framework.
Inf. Sci., 2016

Effective Blind Source Separation Based on the Adam Algorithm.
CoRR, 2016

Learning activation functions from data using cubic spline interpolation.
CoRR, 2016

Distributed Reservoir Computing with Sparse Readouts [Research Frontier].
IEEE Comput. Intell. Mag., 2016

The widely linear block quaternion least mean square algorithm for fast computation in 3D audio systems.
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.
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.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

A split kernel adaptive filtering architecture for nonlinear acoustic echo cancellation.
Proceedings of the 24th European Signal Processing Conference, 2016

Diffusion spline adaptive filtering.
Proceedings of the 24th European Signal Processing Conference, 2016

2015
Significance-Based Pruning for Reservoir's Neurons in Echo State Networks.
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.
Proceedings of the Advances in Neural Networks: Computational and Theoretical Issues, 2015

Online Selection of Functional Links for Nonlinear System Identification.
Proceedings of the Advances in Neural Networks: Computational and Theoretical Issues, 2015

Online Sequential Extreme Learning Machine With Kernels.
IEEE Trans. Neural Networks Learn. Syst., 2015

Intelligent Acoustic Interfaces With Multisensor Acquisition for Immersive Reproduction.
IEEE Trans. Multim., 2015

Novel Cascade Spline Architectures for the Identification of Nonlinear Systems.
IEEE Trans. Circuits Syst. I Regul. Pap., 2015

Nonlinear system identification using IIR Spline Adaptive Filters.
Signal Process., 2015

Improving nonlinear modeling capabilities of functional link adaptive filters.
Neural Networks, 2015

Learning from Distributed Data Sources Using Random Vector Functional-Link Networks.
Proceedings of the INNS Conference on Big Data 2015, 2015

An interactive optimization procedure for stereophonic acoustic echo cancellation systems.
Proceedings of the 2015 International Joint Conference on Neural Networks, 2015

Functional link expansions for nonlinear modeling of audio and speech signals.
Proceedings of the 2015 International Joint Conference on Neural Networks, 2015

A nonlinear architecture involving a combination of proportionate functional link adaptive filters.
Proceedings of the 23rd European Signal Processing Conference, 2015

2014
Nonlinear Acoustic Echo Cancellation Based on Sparse Functional Link Representations.
IEEE ACM Trans. Audio Speech Lang. Process., 2014

Hammerstein uniform cubic spline adaptive filters: Learning and convergence properties.
Signal Process., 2014

An effective criterion for pruning reservoir's connections in Echo State Networks.
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

Advanced intelligent acoustic interfaces for multichannel audio reproduction.
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

Novel decorrelation approach for an advanced multichannel acoustic echo cancellation system.
Proceedings of the 22nd European Signal Processing Conference, 2014

GP-based kernel evolution for L2-Regularization Networks.
Proceedings of the IEEE Congress on Evolutionary Computation, 2014

2013
Functional Link Adaptive Filters for Nonlinear Acoustic Echo Cancellation.
IEEE Trans. Speech Audio Process., 2013

Nonlinear spline adaptive filtering.
Signal Process., 2013

Combined adaptive beamforming schemes for nonstationary interfering noise reduction.
Signal Process., 2013

Proportionate Algorithms for Blind Source Separation.
Proceedings of the Recent Advances of Neural Network Models and Applications, 2013

A Preliminary Study on Transductive Extreme Learning Machines.
Proceedings of the Recent Advances of Neural Network Models and Applications, 2013

Interactive quality enhancement in acoustic echo cancellation.
Proceedings of the 36th International Conference on Telecommunications and Signal Processing, 2013

Combined adaptive beamforming techniques for noise reduction in changing environments.
Proceedings of the 36th International Conference on Telecommunications and Signal Processing, 2013

Music classification using extreme learning machines.
Proceedings of the 8th International Symposium on Image and Signal Processing and Analysis, 2013

Convex combination of MIMO filters for multichannel acoustic echo cancellation.
Proceedings of the 8th International Symposium on Image and Signal Processing and Analysis, 2013

2012
A Collaborative Filter Approach to Adaptive Noise Cancellation.
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.
Proceedings of the Neural Nets and Surroundings - 22nd Italian Workshop on Neural Nets, 2012

2011
A Collaborative Approach to Time-Series Prediction.
Proceedings of the Neural Nets WIRN11, 2011

Comparison of Hammerstein and Wiener systems for nonlinear acoustic echo cancelers in reverberant environments.
Proceedings of the 17th International Conference on Digital Signal Processing, 2011

2010
A novel affine projection algorithm for superdirective microphone array beamforming.
Proceedings of the International Symposium on Circuits and Systems (ISCAS 2010), May 30, 2010


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