Danilo Comminiello

Pubblicazioni

Titolo Pubblicato in Anno
A multimodal dense U-Net for accelerating multiple sclerosis MRI IEEE International Workshop on Machine Learning for Signal Processing, MLSP 2019
Advances in complex systems and their applications to cybersecurity COMPLEXITY 2019
Combined sparse regularization for nonlinear adaptive filters Proceedings of the 26th European Signal Processing Conference (EUSIPCO) 2018
Sparse functional link adaptive filter using an ℓ1-norm regularization Proceedings - IEEE International Symposium on Circuits and Systems 2018
Spline adaptive filters: Theory and applications Adaptive Learning Methods for Nonlinear System Modeling 2018
Improving graph convolutional networks with non-parametric activation functions Proceedings 26th European Signal Processing Conference 2018
Recurrent neural networks with flexible gates using kernel activation functions Proceedings 28th IEEE International Workshop on Machine Learning for Signal Processing 2018
Preface Adaptive Learning Methods for Nonlinear System Modeling 2018
Introduction Adaptive Learning Methods for Nonlinear System Modeling 2018
Adaptive learning methods for nonlinear system modeling 2018
Frequency domain quaternion adaptive filters: Algorithms and convergence performance SIGNAL PROCESSING 2017
Combined nonlinear filtering architectures involving sparse functional link adaptive filters SIGNAL PROCESSING 2017
Group sparse regularization for deep neural networks NEUROCOMPUTING 2017
Effective blind source separation based on the adam algorithm Multidisciplinary approaches to neural computing 2017
On the influence of microphone array geometry on the behavior of hypercomplex adaptive filters Proc. Microwaves, Radar and Remote Sensing Symposium (MRRS) 2017
Advances in hypercomplex adaptive filtering for 3D audio processing Proc. 2017 IEEE First Ukraine Conference on Electrical and Computer Engineering (UKRCON) 2017
Apprendimento distribuito in scenari single-task e multi-task Memorie ET2017 2017
Full proportionate functional link adaptive filters for nonlinear acoustic echo cancellation Proceedings of 25th European Signal Processing Conference (EUSIPCO 2017) 2017
Introducing complex functional link polynomial filters Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing 2017
A semi-supervised random vector functional-link network based on the transductive framework INFORMATION SCIENCES 2016

ERC

  • PE6_6
  • PE6_7
  • PE6_8
  • PE6_11
  • PE7_7

KET

  • Big data & computing
  • Life-science technologies & biotechnologies
  • Sustainable technologies & development

Interessi di ricerca

His research interests concern circuits and algorithms for machine learning and deep learning, with particular focus on audio processing and biomedical imaging.

Keywords

deep learning
machine learning
audio processing
3D audio
biomedical analysis
biomedical imaging
adaptive algorithms
nonlinear system identification
echo cancellation
generative adversarial models (GANs)
quaternion neural networks
Quaternion-Valued Adaptive Filtering
Regularization techniques
Speech recognition

Progetti di Ricerca

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