Aurelio Uncini

ORCID

Publication Activity (10 Years)

Years Active: 1989-2024
Publications (10 Years): 108

Top Venues

Publications

Christian Marinoni, Riccardo Fosco Gramaccioni, Changan Chen, Aurelio Uncini, Danilo Comminiello
Overview of the L3DAS23 Challenge on Audio-Visual Extended Reality. CoRR (2024)
Alireza Nezamdoust, Mario Huemer, Aurelio Uncini, Danilo Comminiello
Efficient Functional Link Adaptive Filters Based On Nearest Kronecker Product Decomposition. ICASSP (2024)
Danilo Comminiello, Eleonora Grassucci, Danilo P. Mandic, Aurelio Uncini
Demystifying the Hypercomplex: Inductive Biases in Hypercomplex Deep Learning. CoRR (2024)
Indro Spinelli, Simone Scardapane, Aurelio Uncini
A Meta-Learning Approach for Training Explainable Graph Neural Networks. IEEE Trans. Neural Networks Learn. Syst. 35 (4) (2024)
Eleonora Grassucci, Gioia Mancini, Christian Brignone, Aurelio Uncini, Danilo Comminiello
Dual quaternion ambisonics array for six-degree-of-freedom acoustic representation. Pattern Recognit. Lett. 166 (2023)
Jary Pomponi, Simone Scardapane, Aurelio Uncini
Continual learning with invertible generative models. Neural Networks 164 (2023)
Michele Scarpiniti, Edoardo Sigismondi, Danilo Comminiello, Aurelio Uncini
A U-Net Based Architecture for Automatic Music Transcription. MLSP (2023)
Eleonora Grassucci, Luigi Sigillo, Aurelio Uncini, Danilo Comminiello
GROUSE: A Task and Model Agnostic Wavelet- Driven Framework for Medical Imaging. IEEE Signal Process. Lett. 30 (2023)
Christian Marinoni, Riccardo F. Gramaccioni, Changan Chen, Aurelio Uncini, Danilo Comminiello
Overview of the L3DAS23 Challenge on Audio-Visual Extended Reality. ICASSP (2023)
Danilo Comminiello, Alireza Nezamdoust, Simone Scardapane, Michele Scarpiniti, Amir Hussain, Aurelio Uncini
A New Class of Efficient Adaptive Filters for Online Nonlinear Modeling. IEEE Trans. Syst. Man Cybern. Syst. 53 (3) (2023)
Luigi Sigillo, Eleonora Grassucci, Aurelio Uncini, Danilo Comminiello
Generalizing Medical Image Representations via Quaternion Wavelet Networks. CoRR (2023)
Gianfranco Di Marco, Danilo Comminiello, Michele Scarpiniti, Aurelio Uncini
Quaternion Gated Recurrent Units for Renewable Energy: Improving Power Forecasting. ICECS (2023)
Matteo Mancanelli, Eleonora Grassucci, Aurelio Uncini, Danilo Comminiello
Phydi: Initializing Parameterized Hypercomplex Neural Networks As Identity Functions. MLSP (2023)
Matteo Mancanelli, Eleonora Grassucci, Aurelio Uncini, Danilo Comminiello
PHYDI: Initializing Parameterized Hypercomplex Neural Networks as Identity Functions. CoRR (2023)
Eleonora Grassucci, Luigi Sigillo, Aurelio Uncini, Danilo Comminiello
Hypercomplex Image- to- Image Translation. IJCNN (2022)
Eleonora Grassucci, Gioia Mancini, Christian Brignone, Aurelio Uncini, Danilo Comminiello
Dual Quaternion Ambisonics Array for Six-Degree-of-Freedom Acoustic Representation. CoRR (2022)
Eric Guizzo, Christian Marinoni, Marco Pennese, Xinlei Ren, Xiguang Zheng, Chen Zhang, Bruno S. Masiero, Aurelio Uncini, Danilo Comminiello
L3DAS22 Challenge: Learning 3D Audio Sources in a Real Office Environment. ICASSP (2022)
Jary Pomponi, Simone Scardapane, Aurelio Uncini
Centroids Matching: an efficient Continual Learning approach operating in the embedding space. Trans. Mach. Learn. Res. 2022 (2022)
Jary Pomponi, Simone Scardapane, Aurelio Uncini
Pixle: a fast and effective black-box attack based on rearranging pixels. IJCNN (2022)
Indro Spinelli, Simone Scardapane, Amir Hussain, Aurelio Uncini
FairDrop: Biased Edge Dropout for Enhancing Fairness in Graph Representation Learning. IEEE Trans. Artif. Intell. 3 (3) (2022)
Christian Brignone, Gioia Mancini, Eleonora Grassucci, Aurelio Uncini, Danilo Comminiello
Efficient Sound Event Localization and Detection in the Quaternion Domain. IEEE Trans. Circuits Syst. II Express Briefs 69 (5) (2022)
Eleonora Grassucci, Luigi Sigillo, Aurelio Uncini, Danilo Comminiello
Hypercomplex Image-to-Image Translation. CoRR (2022)
Jary Pomponi, Simone Scardapane, Aurelio Uncini
A Probabilistic Re-Intepretation of Confidence Scores in Multi-Exit Models. Entropy 24 (1) (2022)
Jary Pomponi, Simone Scardapane, Aurelio Uncini
Centroids Matching: an efficient Continual Learning approach operating in the embedding space. CoRR (2022)
Michele Scarpiniti, Cristiano Mauri, Danilo Comminiello, Aurelio Uncini, Yong-Cheol Lee
CoVal-SGAN: A Complex-Valued Spectral GAN architecture for the effective audio data augmentation in construction sites. IJCNN (2022)
Jary Pomponi, Simone Scardapane, Aurelio Uncini
Pixle: a fast and effective black-box attack based on rearranging pixels. CoRR (2022)
Jary Pomponi, Simone Scardapane, Aurelio Uncini
Continual Learning with Invertible Generative Models. CoRR (2022)
Eric Guizzo, Christian Marinoni, Marco Pennese, Xinlei Ren, Xiguang Zheng, Chen Zhang, Bruno Masiero, Aurelio Uncini, Danilo Comminiello
L3DAS22 Challenge: Learning 3D Audio Sources in a Real Office Environment. CoRR (2022)
Danilo Comminiello, Alireza Nezamdoust, Simone Scardapane, Michele Scarpiniti, Amir Hussain, Aurelio Uncini
A New Class of Efficient Adaptive Filters for Online Nonlinear Modeling. CoRR (2021)
Indro Spinelli, Simone Scardapane, Amir Hussain, Aurelio Uncini
Biased Edge Dropout for Enhancing Fairness in Graph Representation Learning. CoRR (2021)
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
L3DAS21 Challenge: Machine Learning for 3D Audio Signal Processing. CoRR (2021)
Michele Scarpiniti, Francesco Colasante, Simone Di Tanna, Marco Ciancia, Yong-Cheol Lee, Aurelio Uncini
Deep Belief Network based audio classification for construction sites monitoring. Expert Syst. Appl. 177 (2021)
Eleonora Grassucci, Danilo Comminiello, Aurelio Uncini
An Information-Theoretic Perspective on Proper Quaternion Variational Autoencoders. Entropy 23 (7) (2021)
Jary Pomponi, Simone Scardapane, Aurelio Uncini
Structured Ensembles: An approach to reduce the memory footprint of ensemble methods. Neural Networks 144 (2021)
Indro Spinelli, Simone Scardapane, Aurelio Uncini
A Meta-Learning Approach for Training Explainable Graph Neural Networks. CoRR (2021)
Jary Pomponi, Simone Scardapane, Aurelio Uncini
Structured Ensembles: an Approach to Reduce the Memory Footprint of Ensemble Methods. CoRR (2021)
Jary Pomponi, Simone Scardapane, Aurelio Uncini
Bayesian Neural Networks with Maximum Mean Discrepancy regularization. Neurocomputing 453 (2021)
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
L3DAS21 Challenge: Machine Learning for 3D Audio Signal Processing. MLSP (2021)
Indro Spinelli, Simone Scardapane, Aurelio Uncini
Adaptive Propagation Graph Convolutional Network. IEEE Trans. Neural Networks Learn. Syst. 32 (10) (2021)
Eleonora Grassucci, Danilo Comminiello, Aurelio Uncini
A Quaternion-Valued Variational Autoencoder. ICASSP (2021)
Simone Scardapane, Danilo Comminiello, Michele Scarpiniti, Enzo Baccarelli, Aurelio Uncini
Differentiable Branching In Deep Networks for Fast Inference. ICASSP (2020)
Enzo Baccarelli, Simone Scardapane, Michele Scarpiniti, Alireza Momenzadeh, Aurelio Uncini
Optimized training and scalable implementation of Conditional Deep Neural Networks with early exits for Fog-supported IoT applications. Inf. Sci. 521 (2020)
Jary Pomponi, Simone Scardapane, Vincenzo Lomonaco, Aurelio Uncini
Efficient continual learning in neural networks with embedding regularization. Neurocomputing 397 (2020)
Simone Scardapane, Michele Scarpiniti, Enzo Baccarelli, Aurelio Uncini
Why Should We Add Early Exits to Neural Networks? Cogn. Comput. 12 (5) (2020)
Indro Spinelli, Simone Scardapane, Aurelio Uncini
Adaptive Propagation Graph Convolutional Network. CoRR (2020)
Yong-Cheol Lee, Michele Scarpiniti, Aurelio Uncini
Advanced Sound Classifiers and Performance Analyses for Accurate Audio-Based Construction Project Monitoring. J. Comput. Civ. Eng. 34 (5) (2020)
Eleonora Grassucci, Danilo Comminiello, Aurelio Uncini
Quaternion-Valued Variational Autoencoder. CoRR (2020)
Riccardo Vecchi, Simone Scardapane, Danilo Comminiello, Aurelio Uncini
Compressing deep-quaternion neural networks with targeted regularisation. CAAI Trans. Intell. Technol. 5 (3) (2020)
Simone Scardapane, Steven Van Vaerenbergh, Amir Hussain, Aurelio Uncini
Complex-Valued Neural Networks With Nonparametric Activation Functions. IEEE Trans. Emerg. Top. Comput. Intell. 4 (2) (2020)
Antonio Falvo, Danilo Comminiello, Simone Scardapane, Michele Scarpiniti, Aurelio Uncini
A Wide Multimodal Dense U-Net for Fast Magnetic Resonance Imaging. EUSIPCO (2020)
Jary Pomponi, Simone Scardapane, Aurelio Uncini
Bayesian Neural Networks With Maximum Mean Discrepancy Regularization. CoRR (2020)
Jary Pomponi, Simone Scardapane, Aurelio Uncini
Pseudo-Rehearsal for Continual Learning with Normalizing Flows. CoRR (2020)
Simone Scardapane, Michele Scarpiniti, Enzo Baccarelli, Aurelio Uncini
Why should we add early exits to neural networks? CoRR (2020)
Michele Scarpiniti, Danilo Comminiello, Aurelio Uncini, Yong-Cheol Lee
Deep Recurrent Neural Networks for Audio Classification in Construction Sites. EUSIPCO (2020)
Indro Spinelli, Simone Scardapane, Aurelio Uncini
Missing data imputation with adversarially-trained graph convolutional networks. Neural Networks 129 (2020)
Jary Pomponi, Simone Scardapane, Vincenzo Lomonaco, Aurelio Uncini
Efficient Continual Learning in Neural Networks with Embedding Regularization. CoRR (2019)
Michele Cirillo, Simone Scardapane, Steven Van Vaerenbergh, Aurelio Uncini
On the Stability and Generalization of Learning with Kernel Activation Functions. CoRR (2019)
Danilo Comminiello, Marco Lella, Simone Scardapane, Aurelio Uncini
Quaternion Convolutional Neural Networks for Detection and Localization of 3D Sound Events. ICASSP (2019)
Simone Scardapane, Steven Van Vaerenbergh, Simone Totaro, Aurelio Uncini
Kafnets: Kernel-based non-parametric activation functions for neural networks. Neural Networks 110 (2019)
Indro Spinelli, Simone Scardapane, Michele Scarpiniti, Aurelio Uncini
Efficient data augmentation using graph imputation neural networks. CoRR (2019)
Danilo Comminiello, Michele Scarpiniti, Luis Antonio Azpicueta-Ruiz, Aurelio Uncini
Steady-State Performance of an Adaptive Combined MISO Filter Using the Multichannel Affine Projection Algorithm. Algorithms 12 (1) (2019)
Mahdieh Izadpanahkakhk, Seyyed Mohammad Razavi, Mehran Taghipour-Gorjikolaie, Seyyed Hamid Zahiri, Aurelio Uncini
Joint feature fusion and optimization via deep discriminative model for mobile palmprint verification. J. Electronic Imaging 28 (4) (2019)
Danilo Comminiello, Michele Scarpiniti, Raffaele Parisi, Aurelio Uncini
Frequency-domain Adaptive Filtering: from Real to Hypercomplex Signal Processing. ICASSP (2019)
Michele Scarpiniti, Danilo Comminiello, Aurelio Uncini
Convex Combination of Spline Adaptive Filters. EUSIPCO (2019)
Simone Scardapane, Steven Van Vaerenbergh, Danilo Comminiello, Aurelio Uncini
Widely Linear Kernels for Complex-Valued Kernel Activation Functions. CoRR (2019)
Simone Scardapane, Steven Van Vaerenbergh, Danilo Comminiello, Aurelio Uncini
Widely Linear Kernels for Complex-valued Kernel Activation Functions. ICASSP (2019)
Riccardo Vecchi, Simone Scardapane, Danilo Comminiello, Aurelio Uncini
Compressing deep quaternion neural networks with targeted regularization. CoRR (2019)
Indro Spinelli, Simone Scardapane, Aurelio Uncini
Missing Data Imputation with Adversarially-trained Graph Convolutional Networks. CoRR (2019)
Antonio Falvo, Danilo Comminiello, Simone Scardapane, Giorgio Finesi, Michele Scarpiniti, Aurelio Uncini
A Multimodal Deep Network for the Reconstruction of T2W MR Images. CoRR (2019)
Mahdieh Izadpanahkakhk, Seyyed Mohammad Razavi, Mehran Taghipour-Gorjikolaie, Seyyed Hamid Zahiri, Aurelio Uncini
Novel mobile palmprint databases for biometric authentication. Int. J. Grid Util. Comput. 10 (5) (2019)
Antonio Falvo, Danilo Comminiello, Simone Scardapane, Michele Scarpiniti, Aurelio Uncini
A Multimodal Dense U-Net For Accelerating Multiple Sclerosis MRI. MLSP (2019)
Michele Scarpiniti, Enzo Baccarelli, Paola Gabriela Vinueza Naranjo, Aurelio Uncini
Energy performance of heuristics and meta-heuristics for real-time joint resource scaling and consolidation in virtualized networked data centers. J. Supercomput. 74 (5) (2018)
Simone Scardapane, Steven Van Vaerenbergh, Danilo Comminiello, Simone Totaro, Aurelio Uncini
Recurrent Neural Networks with Flexible Gates using Kernel Activation Functions. CoRR (2018)
Danilo Comminiello, Michele Scarpiniti, Simone Scardapane, Luis Antonio Azpicueta-Ruiz, Aurelio Uncini
Combined Sparse Regularization for Nonlinear Adaptive Filters. EUSIPCO (2018)
Stefano Squartini, Björn W. Schuller, Aurelio Uncini, C.-K. Ting
Guest Editorial Special Issue on Computational Intelligence for End-to-End Audio Processing. IEEE Trans. Emerg. Top. Comput. Intell. 2 (2) (2018)
Danilo Comminiello, Michele Scarpiniti, Simone Scardapane, Aurelio Uncini
-norm regularization. ISCAS (2018)
Simone Scardapane, Steven Van Vaerenbergh, Amir Hussain, Aurelio Uncini
Complex-valued Neural Networks with Non-parametric Activation Functions. CoRR (2018)
Simone Scardapane, Steven Van Vaerenbergh, Danilo Comminiello, Aurelio Uncini
Improving Graph Convolutional Networks with Non-Parametric Activation Functions. CoRR (2018)
Simone Scardapane, Steven Van Vaerenbergh, Danilo Comminiello, Aurelio Uncini
Improving Graph Convolutional Networks with Non-Parametric Activation Functions. EUSIPCO (2018)
Simone Scardapane, Dianhui Wang, Aurelio Uncini
Bayesian Random Vector Functional-Link Networks for Robust Data Modeling. IEEE Trans. Cybern. 48 (7) (2018)
Danilo Comminiello, Marco Lella, Simone Scardapane, Aurelio Uncini
Quaternion Convolutional Neural Networks for Detection and Localization of 3D Sound Events. CoRR (2018)
Simone Scardapane, Steven Van Vaerenbergh, Danilo Comminiello, Simone Totaro, Aurelio Uncini
Recurrent Neural Networks with flexible Gates using Kernel activation Functions. MLSP (2018)
Antonio Falvo, Danilo Comminiello, Simone Scardapane, Michele Scarpiniti, Aurelio Uncini
A Multimodal Deep Network for the Reconstruction of T2W MR Images. IIH-MSP (1) (2017)
Simone Scardapane, Lucas Stoffl, Florian Röhrbein, Aurelio Uncini
On the use of deep recurrent neural networks for detecting audio spoofing attacks. IJCNN (2017)
Alessandro Maccagno, Andrea Mastropietro, Umberto Mazziotta, Michele Scarpiniti, Yong-Cheol Lee, Aurelio Uncini
A CNN Approach for Audio Classification in Construction Sites. IIH-MSP (1) (2017)
Eleonora Grassucci, Simone Scardapane, Danilo Comminiello, Aurelio Uncini
Flexible Generative Adversarial Networks with Non-parametric Activation Functions. IIH-MSP (1) (2017)
Simone Scardapane, Steven Van Vaerenbergh, Aurelio Uncini
Kafnets: kernel-based non-parametric activation functions for neural networks. CoRR (2017)
Indro Spinelli, Simone Scardapane, Michele Scarpiniti, Aurelio Uncini
Efficient Data Augmentation Using Graph Imputation Neural Networks. IIH-MSP (1) (2017)
Simone Scardapane, Aurelio Uncini
Semi-supervised Echo State Networks for Audio Classification. Cogn. Comput. 9 (1) (2017)
Roberto Fierimonte, Simone Scardapane, Aurelio Uncini, Massimo Panella
Fully Decentralized Semi-supervised Learning via Privacy-preserving Matrix Completion. IEEE Trans. Neural Networks Learn. Syst. 28 (11) (2017)
Simone Scardapane, Danilo Comminiello, Amir Hussain, Aurelio Uncini
Group sparse regularization for deep neural networks. Neurocomputing 241 (2017)
Danilo Comminiello, Michele Scarpiniti, Luis Antonio Azpicueta-Ruiz, Jerónimo Arenas-García, Aurelio Uncini
Full proportionate functional link adaptive filters for nonlinear acoustic echo cancellation. EUSIPCO (2017)
Michele Scarpiniti, Danilo Comminiello, Federico Muciaccia, Aurelio Uncini
Quaternion Widely Linear Forecasting of Air Quality. IIH-MSP (1) (2017)
Francesca Ortolani, Danilo Comminiello, Michele Scarpiniti, Aurelio Uncini
Frequency domain quaternion adaptive filters: Algorithms and convergence performance. Signal Process. 136 (2017)
Danilo Comminiello, Michele Scarpiniti, Luis Antonio Azpicueta-Ruiz, Jerónimo Arenas-García, Aurelio Uncini
Combined nonlinear filtering architectures involving sparse functional link adaptive filters. Signal Process. 135 (2017)
Simone Scardapane, Danilo Comminiello, Amir Hussain, Aurelio Uncini
Group Sparse Regularization for Deep Neural Networks. CoRR (2016)
Simone Scardapane, Danilo Comminiello, Michele Scarpiniti, Aurelio Uncini
A semi-supervised random vector functional-link network based on the transductive framework. Inf. Sci. (2016)
Vinal Patel, Danilo Comminiello, Michele Scarpiniti, Nithin V. George, Aurelio Uncini
Design of hybrid nonlinear spline adaptive filters for active noise control. IJCNN (2016)
Simone Scardapane, Michele Scarpiniti, Danilo Comminiello, Aurelio Uncini
Learning activation functions from data using cubic spline interpolation. CoRR (2016)
Simone Scardapane, Michele Scarpiniti, Danilo Comminiello, Aurelio Uncini
Diffusion spline adaptive filtering. EUSIPCO (2016)

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Publication Activity (10 Years)

Top Topics

Top Venues

Aurelio Uncini