Danilo Comminiello
Professore Associato
E-mail:
| Titolo | Pubblicato in | Anno |
|---|---|---|
| Frequency-domain adaptive filtering: from real to hypercomplex signal processing | 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2019) | 2019 |
| Convex combination of spline adaptive filters | Proceedings of the 27th European Signal Processing Conference (EUSIPCO2019) | 2019 |
| Widely linear kernels for complex-valued Kernel activation functions | Proceedings 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) | 2019 |
| Quaternion convolutional neural networks for detection and localization of 3D sound events | Proceedings 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) | 2019 |
| 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 |
His research interests concern circuits and algorithms for machine learning and deep learning, with particular focus on audio processing and biomedical imaging.
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