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2020 – today
- 2024
[j72]Danilo Comminiello
, Eleonora Grassucci, Danilo P. Mandic, Aurelio Uncini:
Demystifying the Hypercomplex: Inductive biases in hypercomplex deep learning [Hypercomplex Signal and Image Processing]. IEEE Signal Process. Mag. 41(3): 59-71 (2024)- [j71]Indro Spinelli, Simone Scardapane, Aurelio Uncini:
A Meta-Learning Approach for Training Explainable Graph Neural Networks. IEEE Trans. Neural Networks Learn. Syst. 35(4): 4647-4655 (2024) - [c121]Alireza Nezamdoust, Mario Huemer, Aurelio Uncini, Danilo Comminiello:
Efficient Functional Link Adaptive Filters Based On Nearest Kronecker Product Decomposition. ICASSP 2024: 886-890 - [i36]Christian Marinoni, Riccardo Fosco Gramaccioni, Changan Chen, Aurelio Uncini, Danilo Comminiello:
Overview of the L3DAS23 Challenge on Audio-Visual Extended Reality. CoRR abs/2402.09245 (2024) - [i35]Danilo Comminiello, Eleonora Grassucci, Danilo P. Mandic, Aurelio Uncini:
Demystifying the Hypercomplex: Inductive Biases in Hypercomplex Deep Learning. CoRR abs/2405.07024 (2024) - [i34]Eleonora Lopez, Aurelio Uncini, Danilo Comminiello:
Hierarchical Hypercomplex Network for Multimodal Emotion Recognition. CoRR abs/2409.09194 (2024) - 2023
- [j70]Jary Pomponi, Simone Scardapane, Aurelio Uncini:
Continual learning with invertible generative models. Neural Networks 164: 606-616 (2023) - [j69]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: 24-30 (2023) - [j68]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: 1397-1401 (2023) - [j67]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): 1384-1396 (2023) - [c120]Christian Marinoni, Riccardo F. Gramaccioni, Changan Chen, Aurelio Uncini, Danilo Comminiello:
Overview of the L3DAS23 Challenge on Audio-Visual Extended Reality. ICASSP 2023: 1-2 - [c119]Gianfranco Di Marco, Danilo Comminiello, Michele Scarpiniti, Aurelio Uncini:
Quaternion Gated Recurrent Units for Renewable Energy: Improving Power Forecasting. ICECS 2023: 1-4 - [c118]Matteo Mancanelli, Eleonora Grassucci, Aurelio Uncini, Danilo Comminiello:
Phydi: Initializing Parameterized Hypercomplex Neural Networks As Identity Functions. MLSP 2023: 1-6 - [c117]Michele Scarpiniti, Edoardo Sigismondi, Danilo Comminiello, Aurelio Uncini:
A U-Net Based Architecture for Automatic Music Transcription. MLSP 2023: 1-6 - [i33]Matteo Mancanelli, Eleonora Grassucci, Aurelio Uncini, Danilo Comminiello:
PHYDI: Initializing Parameterized Hypercomplex Neural Networks as Identity Functions. CoRR abs/2310.07612 (2023) - [i32]Luigi Sigillo, Eleonora Grassucci, Aurelio Uncini, Danilo Comminiello:
Generalizing Medical Image Representations via Quaternion Wavelet Networks. CoRR abs/2310.10224 (2023) - 2022
- [b1]Aurelio Uncini:
Digital Audio Processing Fundamentals. Springer 2022, ISBN 978-3-031-14227-7, pp. 1-707 - [j66]Jary Pomponi, Simone Scardapane, Aurelio Uncini:
A Probabilistic Re-Intepretation of Confidence Scores in Multi-Exit Models. Entropy 24(1): 1 (2022) - [j65]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): 344-354 (2022) - [j64]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): 2453-2457 (2022) - [j63]Jary Pomponi, Simone Scardapane, Aurelio Uncini:
Centroids Matching: an efficient Continual Learning approach operating in the embedding space. Trans. Mach. Learn. Res. 2022 (2022) - [c116]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: 9186-9190 - [c115]Eleonora Grassucci, Luigi Sigillo, Aurelio Uncini, Danilo Comminiello:
Hypercomplex Image- to- Image Translation. IJCNN 2022: 1-8 - [c114]Jary Pomponi, Simone Scardapane, Aurelio Uncini:
Pixle: a fast and effective black-box attack based on rearranging pixels. IJCNN 2022: 1-7 - [c113]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: 1-8 - [i31]Jary Pomponi, Simone Scardapane, Aurelio Uncini:
Pixle: a fast and effective black-box attack based on rearranging pixels. CoRR abs/2202.02236 (2022) - [i30]Jary Pomponi, Simone Scardapane, Aurelio Uncini:
Continual Learning with Invertible Generative Models. CoRR abs/2202.05694 (2022) - [i29]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. CoRR abs/2202.10372 (2022) - [i28]Eleonora Grassucci, Gioia Mancini, Christian Brignone, Aurelio Uncini, Danilo Comminiello:
Dual Quaternion Ambisonics Array for Six-Degree-of-Freedom Acoustic Representation. CoRR abs/2204.01851 (2022) - [i27]Eleonora Grassucci, Luigi Sigillo, Aurelio Uncini, Danilo Comminiello:
Hypercomplex Image-to-Image Translation. CoRR abs/2205.02087 (2022) - [i26]Jary Pomponi, Simone Scardapane, Aurelio Uncini:
Centroids Matching: an efficient Continual Learning approach operating in the embedding space. CoRR abs/2208.02048 (2022) - 2021
- [j62]Eleonora Grassucci, Danilo Comminiello, Aurelio Uncini:
An Information-Theoretic Perspective on Proper Quaternion Variational Autoencoders. Entropy 23(7): 856 (2021) - [j61]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: 114839 (2021) - [j60]Jary Pomponi, Simone Scardapane, Aurelio Uncini:
Bayesian Neural Networks with Maximum Mean Discrepancy regularization. Neurocomputing 453: 428-437 (2021) - [j59]Jary Pomponi, Simone Scardapane, Aurelio Uncini:
Structured Ensembles: An approach to reduce the memory footprint of ensemble methods. Neural Networks 144: 407-418 (2021) - [j58]Indro Spinelli, Simone Scardapane, Aurelio Uncini:
Adaptive Propagation Graph Convolutional Network. IEEE Trans. Neural Networks Learn. Syst. 32(10): 4755-4760 (2021) - [c112]Eleonora Grassucci, Danilo Comminiello, Aurelio Uncini:
A Quaternion-Valued Variational Autoencoder. ICASSP 2021: 3310-3314 - [c111]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: 1-6 - [i25]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 abs/2104.05499 (2021) - [i24]Danilo Comminiello, Alireza Nezamdoust, Simone Scardapane, Michele Scarpiniti, Amir Hussain, Aurelio Uncini:
A New Class of Efficient Adaptive Filters for Online Nonlinear Modeling. CoRR abs/2104.09641 (2021) - [i23]Indro Spinelli, Simone Scardapane, Amir Hussain, Aurelio Uncini:
Biased Edge Dropout for Enhancing Fairness in Graph Representation Learning. CoRR abs/2104.14210 (2021) - [i22]Jary Pomponi, Simone Scardapane, Aurelio Uncini:
Structured Ensembles: an Approach to Reduce the Memory Footprint of Ensemble Methods. CoRR abs/2105.02551 (2021) - [i21]Indro Spinelli, Simone Scardapane, Aurelio Uncini:
A Meta-Learning Approach for Training Explainable Graph Neural Networks. CoRR abs/2109.09426 (2021) - 2020
- [j57]Riccardo Vecchi, Simone Scardapane, Danilo Comminiello, Aurelio Uncini:
Compressing deep-quaternion neural networks with targeted regularisation. CAAI Trans. Intell. Technol. 5(3): 172-176 (2020) - [j56]Simone Scardapane, Michele Scarpiniti, Enzo Baccarelli, Aurelio Uncini:
Why Should We Add Early Exits to Neural Networks? Cogn. Comput. 12(5): 954-966 (2020) - [j55]Jary Pomponi, Simone Scardapane, Vincenzo Lomonaco, Aurelio Uncini:
Efficient continual learning in neural networks with embedding regularization. Neurocomputing 397: 139-148 (2020) - [j54]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: 107-143 (2020) - [j53]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) - [j52]Indro Spinelli, Simone Scardapane, Aurelio Uncini:
Missing data imputation with adversarially-trained graph convolutional networks. Neural Networks 129: 249-260 (2020) - [j51]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): 140-150 (2020) - [c110]Michele Scarpiniti, Danilo Comminiello, Aurelio Uncini, Yong-Cheol Lee:
Deep Recurrent Neural Networks for Audio Classification in Construction Sites. EUSIPCO 2020: 810-814 - [c109]Antonio Falvo, Danilo Comminiello, Simone Scardapane, Michele Scarpiniti, Aurelio Uncini:
A Wide Multimodal Dense U-Net for Fast Magnetic Resonance Imaging. EUSIPCO 2020: 1274-1278 - [c108]Simone Scardapane, Danilo Comminiello, Michele Scarpiniti, Enzo Baccarelli, Aurelio Uncini:
Differentiable Branching In Deep Networks for Fast Inference. ICASSP 2020: 4167-4171 - [p14]Michele Scarpiniti, Simone Scardapane, Danilo Comminiello, Aurelio Uncini:
Music Genre Classification Using Stacked Auto-Encoders. Neural Approaches to Dynamics of Signal Exchanges 2020: 11-19 - [p13]Simone Scardapane, Michele Scarpiniti, Danilo Comminiello, Aurelio Uncini:
Learning Activation Functions from Data Using Cubic Spline Interpolation. Neural Advances in Processing Nonlinear Dynamic Signals 2020: 73-83 - [p12]Danilo Comminiello, Michele Scarpiniti, Simone Scardapane, Raffaele Parisi, Aurelio Uncini:
A Low-Complexity Linear-in-the-Parameters Nonlinear Filter for Distorted Speech Signals. Neural Advances in Processing Nonlinear Dynamic Signals 2020: 107-117 - [p11]Francesca Ortolani, Danilo Comminiello, Michele Scarpiniti, Aurelio Uncini:
On 4-Dimensional Hypercomplex Algebras in Adaptive Signal Processing. Neural Advances in Processing Nonlinear Dynamic Signals 2020: 131-140 - [p10]Michele Scarpiniti, Simone Scardapane, Danilo Comminiello, Raffaele Parisi, Aurelio Uncini:
Separation of Drum and Bass from Monaural Tracks. Neural Advances in Processing Nonlinear Dynamic Signals 2020: 141-151 - [i20]Indro Spinelli, Simone Scardapane, Aurelio Uncini:
Adaptive Propagation Graph Convolutional Network. CoRR abs/2002.10306 (2020) - [i19]Jary Pomponi, Simone Scardapane, Aurelio Uncini:
Bayesian Neural Networks With Maximum Mean Discrepancy Regularization. CoRR abs/2003.00952 (2020) - [i18]Simone Scardapane, Michele Scarpiniti, Enzo Baccarelli, Aurelio Uncini:
Why should we add early exits to neural networks? CoRR abs/2004.12814 (2020) - [i17]Jary Pomponi, Simone Scardapane, Aurelio Uncini:
Pseudo-Rehearsal for Continual Learning with Normalizing Flows. CoRR abs/2007.02443 (2020) - [i16]Eleonora Grassucci, Danilo Comminiello, Aurelio Uncini:
Quaternion-Valued Variational Autoencoder. CoRR abs/2010.11647 (2020)
2010 – 2019
- 2019
- [j50]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): 2 (2019) - [j49]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): 465-474 (2019) - [j48]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): 043026 (2019) - [j47]Simone Scardapane, Steven Van Vaerenbergh, Simone Totaro, Aurelio Uncini:
Kafnets: Kernel-based non-parametric activation functions for neural networks. Neural Networks 110: 19-32 (2019) - [c107]Michele Scarpiniti, Danilo Comminiello, Aurelio Uncini:
Convex Combination of Spline Adaptive Filters. EUSIPCO 2019: 1-5 - [c106]Danilo Comminiello, Michele Scarpiniti, Raffaele Parisi, Aurelio Uncini:
Frequency-domain Adaptive Filtering: from Real to Hypercomplex Signal Processing. ICASSP 2019: 7745-7749 - [c105]Simone Scardapane, Steven Van Vaerenbergh, Danilo Comminiello, Aurelio Uncini:
Widely Linear Kernels for Complex-valued Kernel Activation Functions. ICASSP 2019: 8528-8532 - [c104]Danilo Comminiello, Marco Lella, Simone Scardapane, Aurelio Uncini:
Quaternion Convolutional Neural Networks for Detection and Localization of 3D Sound Events. ICASSP 2019: 8533-8537 - [c103]Antonio Falvo, Danilo Comminiello, Simone Scardapane, Michele Scarpiniti, Aurelio Uncini:
A Multimodal Dense U-Net For Accelerating Multiple Sclerosis MRI. MLSP 2019: 1-6 - [i15]Simone Scardapane, Steven Van Vaerenbergh, Danilo Comminiello, Aurelio Uncini:
Widely Linear Kernels for Complex-Valued Kernel Activation Functions. CoRR abs/1902.02085 (2019) - [i14]Michele Cirillo, Simone Scardapane, Steven Van Vaerenbergh, Aurelio Uncini:
On the Stability and Generalization of Learning with Kernel Activation Functions. CoRR abs/1903.11990 (2019) - [i13]Indro Spinelli, Simone Scardapane, Aurelio Uncini:
Missing Data Imputation with Adversarially-trained Graph Convolutional Networks. CoRR abs/1905.01907 (2019) - [i12]Indro Spinelli, Simone Scardapane, Michele Scarpiniti, Aurelio Uncini:
Efficient data augmentation using graph imputation neural networks. CoRR abs/1906.08502 (2019) - [i11]Riccardo Vecchi, Simone Scardapane, Danilo Comminiello, Aurelio Uncini:
Compressing deep quaternion neural networks with targeted regularization. CoRR abs/1907.11546 (2019) - [i10]Antonio Falvo, Danilo Comminiello, Simone Scardapane, Giorgio Finesi, Michele Scarpiniti, Aurelio Uncini:
A Multimodal Deep Network for the Reconstruction of T2W MR Images. CoRR abs/1908.03009 (2019) - [i9]Jary Pomponi, Simone Scardapane, Vincenzo Lomonaco, Aurelio Uncini:
Efficient Continual Learning in Neural Networks with Embedding Regularization. CoRR abs/1909.03742 (2019) - 2018
- [j46]Simone Scardapane, Dianhui Wang, Aurelio Uncini:
Bayesian Random Vector Functional-Link Networks for Robust Data Modeling. IEEE Trans. Cybern. 48(7): 2049-2059 (2018) - [j45]Stefano Squartini, Björn W. Schuller, Aurelio Uncini, Chuan-Kang Ting:
Guest Editorial Special Issue on Computational Intelligence for End-to-End Audio Processing. IEEE Trans. Emerg. Top. Comput. Intell. 2(2): 89-91 (2018) - [j44]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): 2161-2198 (2018) - [c102]Danilo Comminiello, Michele Scarpiniti, Simone Scardapane, Luis Antonio Azpicueta-Ruiz, Aurelio Uncini:
Combined Sparse Regularization for Nonlinear Adaptive Filters. EUSIPCO 2018: 336-340 - [c101]Simone Scardapane, Steven Van Vaerenbergh, Danilo Comminiello, Aurelio Uncini:
Improving Graph Convolutional Networks with Non-Parametric Activation Functions. EUSIPCO 2018: 872-876 - [c100]Danilo Comminiello, Michele Scarpiniti, Simone Scardapane, Aurelio Uncini:
Sparse functional link adaptive filter using an ℓ1-norm regularization. ISCAS 2018: 1-5 - [c99]Simone Scardapane, Steven Van Vaerenbergh, Danilo Comminiello, Simone Totaro, Aurelio Uncini:
Recurrent Neural Networks with flexible Gates using Kernel activation Functions. MLSP 2018: 1-6 - [p9]Michele Scarpiniti, Simone Scardapane, Danilo Comminiello, Raffaele Parisi, Aurelio Uncini:
Effective Blind Source Separation Based on the Adam Algorithm. Multidisciplinary Approaches to Neural Computing 2018: 57-66 - [p8]Simone Scardapane, Rosa Altilio, Valentina Ciccarelli, Aurelio Uncini, Massimo Panella:
Privacy-Preserving Data Mining for Distributed Medical Scenarios. Multidisciplinary Approaches to Neural Computing 2018: 119-128 - [i8]Simone Scardapane, Steven Van Vaerenbergh, Amir Hussain, Aurelio Uncini:
Complex-valued Neural Networks with Non-parametric Activation Functions. CoRR abs/1802.08026 (2018) - [i7]Simone Scardapane, Steven Van Vaerenbergh, Danilo Comminiello, Aurelio Uncini:
Improving Graph Convolutional Networks with Non-Parametric Activation Functions. CoRR abs/1802.09405 (2018) - [i6]Simone Scardapane, Steven Van Vaerenbergh, Danilo Comminiello, Simone Totaro, Aurelio Uncini:
Recurrent Neural Networks with Flexible Gates using Kernel Activation Functions. CoRR abs/1807.04065 (2018) - [i5]Danilo Comminiello, Marco Lella, Simone Scardapane, Aurelio Uncini:
Quaternion Convolutional Neural Networks for Detection and Localization of 3D Sound Events. CoRR abs/1812.06811 (2018) - 2017
- [j43]Simone Scardapane, Aurelio Uncini:
Semi-supervised Echo State Networks for Audio Classification. Cogn. Comput. 9(1): 125-135 (2017) - [j42]Simone Scardapane, Danilo Comminiello, Amir Hussain, Aurelio Uncini:
Group sparse regularization for deep neural networks. Neurocomputing 241: 81-89 (2017) - [j41]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: 168-178 (2017) - [j40]Francesca Ortolani, Danilo Comminiello, Michele Scarpiniti, Aurelio Uncini:
Frequency domain quaternion adaptive filters: Algorithms and convergence performance. Signal Process. 136: 69-80 (2017) - [j39]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): 2699-2711 (2017) - [c98]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: 1145-1149 - [c97]Indro Spinelli, Simone Scardapane, Michele Scarpiniti, Aurelio Uncini:
Efficient Data Augmentation Using Graph Imputation Neural Networks. IIH-MSP (1) 2017: 57-66 - [c96]Eleonora Grassucci, Simone Scardapane, Danilo Comminiello, Aurelio Uncini:
Flexible Generative Adversarial Networks with Non-parametric Activation Functions. IIH-MSP (1) 2017: 67-77 - [c95]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: 371-381 - [c94]Michele Scarpiniti, Danilo Comminiello, Federico Muciaccia, Aurelio Uncini:
Quaternion Widely Linear Forecasting of Air Quality. IIH-MSP (1) 2017: 393-403 - [c93]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: 423-431 - [c92]Simone Scardapane, Lucas Stoffl, Florian Röhrbein, Aurelio Uncini:
On the use of deep recurrent neural networks for detecting audio spoofing attacks. IJCNN 2017: 3483-3490 - [i4]Simone Scardapane, Steven Van Vaerenbergh, Aurelio Uncini:
Kafnets: kernel-based non-parametric activation functions for neural networks. CoRR abs/1707.04035 (2017) - 2016
- [j38]Simone Scardapane, Massimo Panella, Danilo Comminiello, Amir Hussain, Aurelio Uncini:
Distributed Reservoir Computing with Sparse Readouts [Research Frontier]. IEEE Comput. Intell. Mag. 11(4): 59-70 (2016) - [j37]Filippo Maria Bianchi, Simone Scardapane, Antonello Rizzi, Aurelio Uncini, Alireza Sadeghian:
Granular Computing Techniques for Classification and Semantic Characterization of Structured Data. Cogn. Comput. 8(3): 442-461 (2016) - [j36]Simone Scardapane, Danilo Comminiello, Michele Scarpiniti, Aurelio Uncini:
A semi-supervised random vector functional-link network based on the transductive framework. Inf. Sci. 364-365: 156-166 (2016) - [j35]Simone Scardapane, Roberto Fierimonte, Paolo Di Lorenzo, Massimo Panella, Aurelio Uncini:
Distributed semi-supervised support vector machines. Neural Networks 80: 43-52 (2016) - [j34]Michele Scarpiniti, Danilo Comminiello, Gaetano Scarano, Raffaele Parisi, Aurelio Uncini:
Steady-State Performance of Spline Adaptive Filters. IEEE Trans. Signal Process. 64(4): 816-828 (2016) - [c91]Simone Scardapane, Michele Scarpiniti, Danilo Comminiello, Aurelio Uncini:
Diffusion spline adaptive filtering. EUSIPCO 2016: 1498-1502 - [c90]Simone Scardapane, Rosa Altilio, Massimo Panella, Aurelio Uncini:
Distributed spectral clustering based on Euclidean distance matrix completion. IJCNN 2016: 3093-3100 - [c89]Vinal Patel, Danilo Comminiello, Michele Scarpiniti, Nithin V. George, Aurelio Uncini:
Design of hybrid nonlinear spline adaptive filters for active noise control. IJCNN 2016: 3420-3425 - [c88]Danilo Comminiello, Michele Scarpiniti, Luis Antonio Azpicueta-Ruiz, Jerónimo Arenas-García, Aurelio Uncini:
A block-based combined scheme exploiting sparsity in nonlinear acoustic echo cancellation. MLSP 2016: 1-6 - [c87]Francesca Ortolani, Danilo Comminiello, Aurelio Uncini:
The widely linear block quaternion least mean square algorithm for fast computation in 3D audio systems. MLSP 2016: 1-6 - [p7]Francesca Ortolani, Danilo Comminiello, Michele Scarpiniti, Aurelio Uncini:
Frequency-Domain Adaptive Filtering in Hypercomplex Systems. Advances in Neural Networks 2016: 47-56 - [p6]Simone Scardapane, Danilo Comminiello, Michele Scarpiniti, Raffaele Parisi, Aurelio Uncini:
Benchmarking Functional Link Expansions for Audio Classification Tasks. Advances in Neural Networks 2016: 133-141 - [p5]Roberto Fierimonte, Simone Scardapane, Massimo Panella, Aurelio Uncini:
A Comparison of Consensus Strategies for Distributed Learning of Random Vector Functional-Link Networks. Advances in Neural Networks 2016: 143-152 - [p4]Danilo Comminiello, Michele Scarpiniti, Simone Scardapane, Raffaele Parisi, Aurelio Uncini:
A Nonlinear Acoustic Echo Canceller with Improved Tracking Capabilities. Recent Advances in Nonlinear Speech Processing 2016: 235-243 - [e1]Francesco A. N. Palmieri, Aurelio Uncini, Kostas I. Diamantaras, Jan Larsen:
26th IEEE International Workshop on Machine Learning for Signal Processing, MLSP 2016, Vietri sul Mare, Salerno, Italy, September 13-16, 2016. IEEE 2016, ISBN 978-1-5090-0746-2 [contents] - [i3]Simone Scardapane, Michele Scarpiniti, Danilo Comminiello, Aurelio Uncini:
Learning activation functions from data using cubic spline interpolation. CoRR abs/1605.05509 (2016) - [i2]Michele Scarpiniti, Simone Scardapane, Danilo Comminiello, Raffaele Parisi, Aurelio Uncini:
Effective Blind Source Separation Based on the Adam Algorithm. CoRR abs/1605.07833 (2016) - [i1]Simone Scardapane, Danilo Comminiello, Amir Hussain, Aurelio Uncini:
Group Sparse Regularization for Deep Neural Networks. CoRR abs/1607.00485 (2016) - 2015
- [j33]Simone Scardapane, Dianhui Wang, Massimo Panella, Aurelio Uncini:
Distributed learning for Random Vector Functional-Link networks. Inf. Sci. 301: 271-284 (2015) - [j32]Danilo Comminiello, Michele Scarpiniti, Simone Scardapane, Raffaele Parisi, Aurelio Uncini:
Improving nonlinear modeling capabilities of functional link adaptive filters. Neural Networks 69: 51-59 (2015) - [j31]Filippo Maria Bianchi, Simone Scardapane, Aurelio Uncini, Antonello Rizzi, Alireza Sadeghian:
Prediction of telephone calls load using Echo State Network with exogenous variables. Neural Networks 71: 204-213 (2015) - [j30]Michele Scarpiniti, Danilo Comminiello, Raffaele Parisi, Aurelio Uncini:
Nonlinear system identification using IIR Spline Adaptive Filters. Signal Process. 108: 30-35 (2015) - [j29]Michele Scarpiniti, Danilo Comminiello, Raffaele Parisi, Aurelio Uncini:
Novel Cascade Spline Architectures for the Identification of Nonlinear Systems. IEEE Trans. Circuits Syst. I Regul. Pap. 62-I(7): 1825-1835 (2015) - [j28]Danilo Comminiello, Stefania Cecchi, Michele Scarpiniti, Michele Gasparini, Laura Romoli, Francesco Piazza, Aurelio Uncini:
Intelligent Acoustic Interfaces With Multisensor Acquisition for Immersive Reproduction. IEEE Trans. Multim. 17(8): 1262-1272 (2015) - [j27]Simone Scardapane, Danilo Comminiello, Michele Scarpiniti, Aurelio Uncini:
Online Sequential Extreme Learning Machine With Kernels. IEEE Trans. Neural Networks Learn. Syst. 26(9): 2214-2220 (2015) - [c86]Danilo Comminiello, Michele Scarpiniti, Luis Antonio Azpicueta-Ruiz, Jerónimo Arenas-García, Aurelio Uncini:
A nonlinear architecture involving a combination of proportionate functional link adaptive filters. EUSIPCO 2015: 2869-2873 - [c85]Danilo Comminiello, Simone Scardapane, Michele Scarpiniti, Raffaele Parisi, Aurelio Uncini:
Functional link expansions for nonlinear modeling of audio and speech signals. IJCNN 2015: 1-8 - [c84]Laura Romoli, Stefania Cecchi, Francesco Piazza, Danilo Comminiello, Michele Scarpiniti, Aurelio Uncini:
An interactive optimization procedure for stereophonic acoustic echo cancellation systems. IJCNN 2015: 1-7 - [c83]Simone Scardapane, Roberto Fierimonte, Dianhui Wang, Massimo Panella, Aurelio Uncini:
Distributed music classification using Random Vector Functional-Link nets. IJCNN 2015: 1-8 - [c82]Simone Scardapane, Massimo Panella, Danilo Comminiello, Aurelio Uncini:
Learning from Distributed Data Sources Using Random Vector Functional-Link Networks. INNS Conference on Big Data 2015: 468-477 - [p3]Simone Scardapane, Danilo Comminiello, Michele Scarpiniti, Aurelio Uncini:
Significance-Based Pruning for Reservoir's Neurons in Echo State Networks. Advances in Neural Networks 2015: 31-38 - [p2]Danilo Comminiello, Simone Scardapane, Michele Scarpiniti, Raffaele Parisi, Aurelio Uncini:
Online Selection of Functional Links for Nonlinear System Identification. Advances in Neural Networks 2015: 39-47 - [p1]Raffaele Parisi, Danilo Comminiello, Michele Scarpiniti, Aurelio Uncini:
Integration of Audio and Video Clues for Source Localization by a Robotic Head. Advances in Neural Networks 2015: 149-157 - 2014
- [j26]Michele Scarpiniti, Danilo Comminiello, Raffaele Parisi, Aurelio Uncini:
Hammerstein uniform cubic spline adaptive filters: Learning and convergence properties. Signal Process. 100: 112-123 (2014) - [j25]Danilo Comminiello, Michele Scarpiniti, Luis Antonio Azpicueta-Ruiz, Jerónimo Arenas-García, Aurelio Uncini:
Nonlinear Acoustic Echo Cancellation Based on Sparse Functional Link Representations. IEEE ACM Trans. Audio Speech Lang. Process. 22(7): 1172-1183 (2014) - [j24]Enzo Baccarelli, Francesco Chiti, Nicola Cordeschi, Romano Fantacci, Dania Marabissi, Raffaele Parisi, Aurelio Uncini:
Green multimedia wireless sensor networks: distributed intelligent data fusion, in-network processing, and optimized resource management. IEEE Wirel. Commun. 21(4): 20-26 (2014) - [c81]Simone Scardapane, Danilo Comminiello, Michele Scarpiniti, Aurelio Uncini:
GP-based kernel evolution for L2-Regularization Networks. IEEE Congress on Evolutionary Computation 2014: 1674-1681 - [c80]Laura Romoli, Stefania Cecchi, Danilo Comminiello, Francesco Piazza, Aurelio Uncini:
Novel decorrelation approach for an advanced multichannel acoustic echo cancellation system. EUSIPCO 2014: 651-655 - [c79]Simone Scardapane, Gabriele Nocco, Danilo Comminiello, Michele Scarpiniti, Aurelio Uncini:
An effective criterion for pruning reservoir's connections in Echo State Networks. IJCNN 2014: 1205-1212 - [c78]Filippo Maria Bianchi, Simone Scardapane, Lorenzo Livi, Aurelio Uncini, Antonello Rizzi:
An interpretable graph-based image classifier. IJCNN 2014: 2339-2346 - [c77]Danilo Comminiello, Stefania Cecchi, Michele Gasparini, Michele Scarpiniti, Aurelio Uncini, Francesco Piazza:
Advanced intelligent acoustic interfaces for multichannel audio reproduction. IJCNN 2014: 3577-3584 - 2013
- [j23]Michele Scarpiniti, Danilo Comminiello, Raffaele Parisi, Aurelio Uncini:
Nonlinear spline adaptive filtering. Signal Process. 93(4): 772-783 (2013) - [j22]Danilo Comminiello, Michele Scarpiniti, Raffaele Parisi, Aurelio Uncini:
Combined adaptive beamforming schemes for nonstationary interfering noise reduction. Signal Process. 93(12): 3306-3318 (2013) - [j21]Danilo Comminiello, Michele Scarpiniti, Luis Antonio Azpicueta-Ruiz, Jerónimo Arenas-García, Aurelio Uncini:
Functional Link Adaptive Filters for Nonlinear Acoustic Echo Cancellation. IEEE Trans. Speech Audio Process. 21(7): 1502-1512 (2013) - [c76]Raffaele Parisi, Riccardo Russo, Michele Scarpiniti, Aurelio Uncini:
Localization of audio sources by multiple binaural sensors. DSP 2013: 1-5 - [c75]Simone Scardapane, Danilo Comminiello, Michele Scarpiniti, Aurelio Uncini:
Music classification using extreme learning machines. ISPA 2013: 377-381 - [c74]Danilo Comminiello, Simone Scardapane, Michele Scarpiniti, Raffaele Parisi, Aurelio Uncini:
Convex combination of MIMO filters for multichannel acoustic echo cancellation. ISPA 2013: 778-782 - [c73]Danilo Comminiello, Simone Scardapane, Michele Scarpiniti, Aurelio Uncini:
Interactive quality enhancement in acoustic echo cancellation. TSP 2013: 488-492 - [c72]Danilo Comminiello, Michele Scarpiniti, Raffaele Parisi, Aurelio Uncini:
Combined adaptive beamforming techniques for noise reduction in changing environments. TSP 2013: 690-694 - [c71]Simone Scardapane, Danilo Comminiello, Michele Scarpiniti, Aurelio Uncini:
A Preliminary Study on Transductive Extreme Learning Machines. WIRN 2013: 25-32 - [c70]Michele Scarpiniti, Danilo Comminiello, Simone Scardapane, Raffaele Parisi, Aurelio Uncini:
Proportionate Algorithms for Blind Source Separation. WIRN 2013: 99-106 - 2012
- [j20]Raffaele Parisi, Flavia Camoes, Michele Scarpiniti, Aurelio Uncini:
Cepstrum Prefiltering for Binaural Source Localization in Reverberant Environments. IEEE Signal Process. Lett. 19(2): 99-102 (2012) - [c69]Simone Scardapane, Danilo Comminiello, Michele Scarpiniti, Raffaele Parisi, Aurelio Uncini:
PM 10 Forecasting Using Kernel Adaptive Filtering: An Italian Case Study. WIRN 2012: 93-100 - [c68]Michele Scarpiniti, Danilo Comminiello, Raffaele Parisi, Aurelio Uncini:
A Collaborative Filter Approach to Adaptive Noise Cancellation. WIRN 2012: 101-109 - 2011
- [c67]Michele Scarpiniti, Danilo Comminiello, Raffaele Parisi, Aurelio Uncini:
Comparison of Hammerstein and Wiener systems for nonlinear acoustic echo cancelers in reverberant environments. DSP 2011: 1-6 - [c66]Cecilia Maria Zannini, Raffaele Parisi, Aurelio Uncini:
Binaural sound source localization in the presence of reverberation. DSP 2011: 1-6 - [c65]Michele Scarpiniti, Danilo Comminiello, Raffaele Parisi, Aurelio Uncini:
A Collaborative Approach to Time-Series Prediction. WIRN 2011: 178-185 - 2010
- [j19]Shoji Makino, Andrzej Cichocki, Wei Xing Zheng, Aurelio Uncini:
Guest Editorial Special Section on Blind Signal Processing and Its Applications. IEEE Trans. Circuits Syst. I Regul. Pap. 57-I(7): 1401-1403 (2010) - [c64]Albenzio Cirillo, Raffaele Parisi, Michele Scarpiniti, Aurelio Uncini:
Simplified optimal line selection for acoustic localization in the presence of reverberation. EUSIPCO 2010: 1963-1967 - [c63]Danilo Comminiello, Michele Scarpiniti, Raffaele Parisi, Aurelio Uncini:
A novel affine projection algorithm for superdirective microphone array beamforming. ISCAS 2010: 2127-2130 - [c62]Cecilia Maria Zannini, Albenzio Cirillo, Raffaele Parisi, Aurelio Uncini:
Improved TDOA disambiguation techniques for sound source localization in reverberant environments. ISCAS 2010: 2666-2669 - [c61]Michele Scarpiniti, Francesco Di Palma, Raffaele Parisi, Aurelio Uncini:
A Geometrically Constrained ICA Algorithm for Blind Separation in Convolutive Environments. WIRN 2010: 79-88 - [c60]Michele Scarpiniti, Gabriele Bunkheila, Raffaele Parisi, Aurelio Uncini:
A Pre-Filtering and Post-Filtering Approach to Blind Source Separation. WIRN 2010: 89-98
2000 – 2009
- 2009
- [c59]Gabriele Bunkheila, Michele Scarpiniti, Raffaele Parisi, Aurelio Uncini:
Stereo acoustical echo cancellation based on common poles. DPS 2009: 1-6 - [c58]Albenzio Cirillo, Raffaele Parisi, Aurelio Uncini:
A new consistency measure for localization of sound sources in the presence of reverberation. DPS 2009: 1-5 - [c57]Michele Scarpiniti, Andrea Picaro, Raffaele Parisi, Aurelio Uncini:
A Partitioned Frequency Block Algorithm for Blind Separation in Reverberant Environments. WIRN 2009: 81-90 - 2008
- [j18]Stefano Laoreti, Davide Renzi, Raffaele Parisi, Aurelio Uncini:
Data Fusion Framework: concurrent architecture for real-time processing. Int. J. Inf. Commun. Technol. 1(3/4): 424-436 (2008) - [j17]Daniele Vigliano, Michele Scarpiniti, Raffaele Parisi, Aurelio Uncini:
Flexible Nonlinear Blind Signal Separation in the Complex Domain. Int. J. Neural Syst. 18(2): 105-122 (2008) - [j16]Michele Scarpiniti, Daniele Vigliano, Raffaele Parisi, Aurelio Uncini:
Generalized splitting functions for blind separation of complex signals. Neurocomputing 71(10-12): 2245-2270 (2008) - [c56]Albenzio Cirillo, Raffaele Parisi, Aurelio Uncini:
Sound mapping in reverberant rooms by a robust direct method. ICASSP 2008: 285-288 - [c55]Gabriele Bunkheila, Raffaele Parisi, Aurelio Uncini:
Model order selection for estimation of Common Acoustical Poles. ISCAS 2008: 1180-1183 - [c54]Antonello Rizzi, Nicola Maurizio Buccino, Massimo Panella, Aurelio Uncini:
Genre classification of compressed audio data. MMSP 2008: 654-659 - [c53]Michele Scarpiniti, Daniele Vigliano, Raffaele Parisi, Aurelio Uncini:
A Flexible Natural Gradient Approach to Blind Separation of Complex Signals. WIRN 2008: 89-98 - 2007
- [c52]Raffaele Parisi, Albenzio Cirillo, Massimo Panella, Aurelio Uncini:
Source Localization in Reverberant Environments by Consistent Peak Selection. ICASSP (1) 2007: 37-40 - [c51]Michele Scarpiniti, Daniele Vigliano, Raffaele Parisi, Aurelio Uncini:
Generalized Flexible Splitting Function Outperforms Classical Approaches in Blind Signal Separation of Complex Environment. DSP 2007: 215-218 - 2006
- [c50]Antonello Rizzi, Nicola Maurizio Buccino, Massimo Panella, Aurelio Uncini:
Optimal Short-Time Features for Music/Speech Classification of Compressed Audio Data. CIMCA/IAWTIC 2006: 210 - [c49]Daniele Vigliano, Michele Scarpiniti, Raffaele Parisi, Aurelio Uncini:
Flexible ICA approach to the nonlinear blind signal separation in the complex domain. EUSIPCO 2006: 1-5 - [c48]Raffaele Parisi, P. Croene, Aurelio Uncini:
Particle swarm localization of acoustic sources in the presence of reverberation. ISCAS 2006 - [c47]Daniele Vigliano, Raffaele Parisi, Aurelio Uncini:
An IIR architecture for BSS in strong nonlinear convolutive environments. ISCAS 2006 - 2005
- [j15]Daniele Vigliano, Raffaele Parisi, Aurelio Uncini:
An information theoretic approach to a novel nonlinear independent component analysis paradigm. Signal Process. 85(5): 997-1028 (2005) - [c46]Daniele Vigliano, Raffaele Parisi, Aurelio Uncini:
A Recurrent ICA Approach to a Novel BSS Convolutive Nonlinear Problem. WIRN/NAIS 2005: 57-64 - 2004
- [j14]Mirko Solazzi, Aurelio Uncini:
Regularising neural networks using flexible multivariate activation function. Neural Networks 17(2): 247-260 (2004) - [j13]Mirko Solazzi, Aurelio Uncini:
Spline neural networks for blind separation of post-nonlinear-linear mixtures. IEEE Trans. Circuits Syst. I Regul. Pap. 51-I(4): 817-829 (2004) - [c45]Daniele Vigliano, Raffaele Parisi, Aurelio Uncini:
A novel recurrent network for independent component analysis of post nonlinear convolutive mixtures. ICASSP (5) 2004: 553-556 - [c44]Daniele Vigliano, Aurelio Uncini, Raffaele Parisi:
Nonlinear ICA solutions for convolutive mixing of PNL mixtures. ISCAS (5) 2004: 9-12 - [c43]Daniele Vigliano, Raffaele Parisi, Aurelio Uncini:
A Flexible ICA Approach to a Novel BSS Convolutive Nonlinear Problem: Preliminary Results. WIRN 2004: 217-224 - 2003
- [j12]Alessandra Fanni, Aurelio Uncini:
Special issue on evolving solution with neural networks. Neurocomputing 55(3-4): 417-419 (2003) - [j11]Aurelio Uncini:
Audio signal processing by neural networks. Neurocomputing 55(3-4): 593-625 (2003) - [j10]Aurelio Uncini, Francesco Piazza:
Blind signal processing by complex domain adaptive spline neural networks. IEEE Trans. Neural Networks 14(2): 399-412 (2003) - [c42]Giovanni Costantini, Daniele Casali, Aurelio Uncini:
Adaptive room acoustic response simulation: a virtual 3D application. NNSP 2003: 667-676 - [c41]Francesca Vitagliano, Raffaele Parisi, Aurelio Uncini:
Generalized Splitting 2D Flexible Activation Function. WIRN 2003: 85-95 - [c40]Stefano D'Urso, Aurelio Uncini:
Automatic Polyphonic Piano Music Transcription by a Multi-classification Discriminative-Learning. WIRN 2003: 129-138 - [c39]Claudio Sistopaoli, Raffaele Parisi, Aurelio Uncini:
Dereverberation of Acoustic Signals by Independent Component Analysis. WIRN 2003: 165-170 - 2002
- [j9]Gianandrea Cocchi, Aurelio Uncini:
Subband neural networks prediction for on-line audio signal recovery. IEEE Trans. Neural Networks 13(4): 867-876 (2002) - [c38]Aurelio Uncini, Andrea Nalin, Raffaele Parisi:
Acoustic echo cancellation in the presence of distorting loudspeakers. EUSIPCO 2002: 1-4 - [c37]Fabio Milani, Mirko Solazzi, Aurelio Uncini:
Blind source separation of convolutive nonlinear mixtures by flexible spline nonlinear functions. ICASSP 2002: 1641-1644 - [c36]Andrea Celani, Stefano Bartoloni, Aurelio Uncini, Francesco Piazza:
A multirate approach to multichannel blind deconvolution. ISCAS (1) 2002: 677-680 - [c35]Lorenzo Topi, Raffaele Parisi, Aurelio Uncini:
Spline Recurrent Neural Networks for Quad-Tree Video Coding. WIRN 2002: 90-98 - [c34]Aurelio Uncini:
Sound Synthesis by Flexible Activation Function Recurrent Neural Networks. WIRN 2002: 168-180 - 2001
- [j8]Mirko Solazzi, Aurelio Uncini, Elio D. Di Claudio, Raffaele Parisi:
Complex discriminative learning Bayesian neural equalizer. Signal Process. 81(12): 2493-2502 (2001) - [c33]Gianandrea Cocchi, Aurelio Uncini:
Subbands audio signal recovering using neural nonlinear prediction. ICASSP 2001: 1289-1292 - [c32]Mirko Solazzi, Francesco Piazza, Aurelio Uncini:
Nonlinear blind source separation by spline neural networks. ICASSP 2001: 2781-2784 - [c31]Simone Barbabella, Francesco Piazza, Aurelio Uncini:
Complex domain flexible non-linear function for blind signal separation. ISCAS (3) 2001: 421-424 - 2000
- [j7]Paolo Campolucci, Aurelio Uncini, Francesco Piazza:
A Signal-Flow-Graph Approach to On-line Gradient Calculation. Neural Comput. 12(8): 1901-1927 (2000) - [c30]Mirko Solazzi, Aurelio Uncini, Francesco Piazza:
Neural equalizer with adaptive multidimensional spline activation functions. ICASSP 2000: 3498-3501 - [c29]Andrea Pierani, Francesco Piazza, Mirko Solazzi, Aurelio Uncini:
Low Complexity Adaptive Non-Linear Function for Blind Signal Separation. IJCNN (3) 2000: 333-338 - [c28]Mirko Solazzi, Aurelio Uncini:
Artificial Neural Networks with Adaptive Multidimensional Spline Activation Functions. IJCNN (3) 2000: 471-476
1990 – 1999
- 1999
- [j6]Paolo Campolucci, Aurelio Uncini, Francesco Piazza, Bhaskar D. Rao:
On-line learning algorithms for locally recurrent neural networks. IEEE Trans. Neural Networks 10(2): 253-271 (1999) - [j5]S. Guarnieri, Francesco Piazza, Aurelio Uncini:
Multilayer feedforward networks with adaptive spline activation function. IEEE Trans. Neural Networks 10(3): 672-683 (1999) - [j4]Aurelio Uncini, Lorenzo Vecci, Paolo Campolucci, Francesco Piazza:
Complex-valued neural networks with adaptive spline activation function for digital-radio-links nonlinear equalization. IEEE Trans. Signal Process. 47(2): 505-514 (1999) - [c27]Aurelio Uncini, Frencesco Gobbi, Francesco Piazza:
Frequency recovery of narrow-band speech using adaptive spline neural networks. ICASSP 1999: 997-1000 - [c26]Simone G. O. Fiori, Aurelio Uncini, Francesco Piazza:
Blind deconvolution by modified Bussgang algorithm. ISCAS (3) 1999: 1-4 - [c25]Stefano Traferro, Aurelio Uncini:
Power-of-two adaptive filters using tabu search. ISCAS (3) 1999: 62-65 - [c24]Mirko Solazzi, Aurelio Uncini, Elio D. Di Claudio, Raffaele Parisi:
Complex discriminative learning Bayesian neural equalizer. ISCAS (5) 1999: 343-346 - [c23]Stefano Traferro, F. Capparelli, Francesco Piazza, Aurelio Uncini:
Efficient allocation of power of two terms in FIR digital filter design using tabu search. ISCAS (3) 1999: 411-414 - [c22]Simone G. O. Fiori, Aurelio Uncini, Francesco Piazza:
Neural blind separation of complex sources by extended APEX algorithm (EAPEX). ISCAS (5) 1999: 627-630 - 1998
- [j3]Lorenzo Vecci, Francesco Piazza, Aurelio Uncini:
Learning and Approximation Capabilities of Adaptive Spline Activation Function Neural Networks. Neural Networks 11(2): 259-270 (1998) - [c21]Paolo Campolucci, Michele Simonetti, Aurelio Uncini:
Recurrent neural networks for signal processing trained by a new second order algorithm. EUSIPCO 1998: 1-4 - [c20]Simone G. O. Fiori, Aurelio Uncini:
A unified approach to laterally-connected neural NETS. EUSIPCO 1998: 1-4 - [c19]Aurelio Uncini, Francesco Piazza:
A class of fast complex domain neural networks for signal processing applications. EUSIPCO 1998: 1-4 - 1997
- [c18]Simone G. O. Fiori, Aurelio Uncini, Francesco Piazza:
Application of the MEC Network to Principal Component Analysis and Source Separation. ICANN 1997: 571-576 - [c17]Paolo Campolucci, Simone G. O. Fiori, Aurelio Uncini, Francesco Piazza:
A new IIR-MLP learning algorithm for on-line signal processing. ICASSP 1997: 3293-3296 - [c16]Simone G. O. Fiori, Paolo Campolucci, Aurelio Uncini, Francesco Piazza:
A new unsupervised neural learning rule for orthonormal signal processing. ICASSP 1997: 3349-3352 - [c15]Lorenzo Vecci, Paolo Campolucci, Francesco Piazza, Aurelio Uncini:
Approximation capabilities of adaptive spline neural networks. ICNN 1997: 260-265 - [c14]Paolo Campolucci, Andrea Marchegrani, Aurelio Uncini, Francesco Piazza:
Signal-flow-graph derivation of on-line gradient learning algorithms. ICNN 1997: 1884-1889 - 1996
- [c13]Andrea Santilli, Aurelio Uncini, Francesco Piazza:
Split-band LD-CELP wideband speech coding at 24 kbit/s. EUSIPCO 1996: 1-4 - [c12]Paolo Gentili, Francesco Piazza, Aurelio Uncini:
Improved power-of-two sharpening filter design by genetic algorithm. ICASSP 1996: 1375-1378 - [c11]Paolo Campolucci, Aurelio Uncini, Francesco Piazza:
Fast adaptive IIR-MLP neural networks for signal processing applications. ICASSP 1996: 3529-3532 - 1995
- [c10]Paolo Gentili, Francesco Piazza, Aurelio Uncini:
Efficient genetic algorithm design for power-of-two FIR filters. ICASSP 1995: 1268-1271 - [c9]Paolo Campolucci, Francesco Piazza, Aurelio Uncini:
On-line learning algorithms for neural networks with IIR synapses. ICNN 1995: 865-870 - 1994
- [c8]Paolo Gentili, Francesco Piazza, Aurelio Uncini:
Evolutionary Design of Fir Digital Filters with Power-of-Two Coefficients. International Conference on Evolutionary Computation 1994: 110-114 - [c7]A. Massetani, Francesco Piazza, Aurelio Uncini:
Efficient DOA Estimation by a Specific SVD Algorithm. ISCAS 1994: 389-392 - 1993
- [j2]Michele Marchesi, Gianni Orlandi, Francesco Piazza, Aurelio Uncini:
Fast neural networks without multipliers. IEEE Trans. Neural Networks 4(1): 53-62 (1993) - 1992
- [j1]Nevio Benvenuto, Michele Marchesi, Aurelio Uncini:
Applications of simulated annealing for the design of special digital filters. IEEE Trans. Signal Process. 40(2): 323-332 (1992) - 1991
- [c6]Nevio Benvenuto, Michele Marchesi, Francesco Piazza, Aurelio Uncini:
Non linear satellite radio links equalized using blind neural networks. ICASSP 1991: 1521-1524 - [c5]Elio D. Di Claudio, Gianni Orlandi, Francesco Piazza, Aurelio Uncini:
Optimal weighted LS AR estimation in presence of impulsive noise. ICASSP 1991: 3149-3152 - 1990
- [c4]Nevio Benvenuto, Michele Marchesi, Aurelio Uncini:
Results on the application of simulated annealing algorithm for the design of digital filters with powers-of-two coefficients. ICASSP 1990: 1301-1304 - [c3]Aurelio Uncini, Michele Marchesi, Gianni Orlandi, Francesco Piazza:
Improved evoked potential estimation using neural network. IJCNN 1990: 143-148 - [c2]Michele Marchesi, Gianni Orlandi, Francesco Piazza, L. Pollonara, Aurelio Uncini:
Multi-layer perceptrons with discrete weights. IJCNN 1990: 623-630
1980 – 1989
- 1989
- [c1]Nevio Benvenuto, Michele Marchesi, Gianni Orlandi, Francesco Piazza, Aurelio Uncini:
Finite wordlength digital filter design using an annealing algorithm. ICASSP 1989: 861-864
Coauthor Index
[j72] [c121] [i36] [i35] [i34] [j69] [j68] [j67] [c120] [c119] [c118] [c117] [i33] [i32] [j64] [c116] [c115] [c113] [i29] [i28] [i27] [j62] [c112] [c111] [i25] [i24] [j57] [c110] [c109] [c108] [p14] [p13] [p12] [p11] [p10] [i16] [j50] [c107] [c106] [c105] [c104] [c103] [i15] [i11] [i10] [c102] [c101] [c100] [c99] [p9] [i7] [i6] [i5] [j42] [j41] [j40] [c98] [c96] [c94] [c93] [j38] [j36] [j34] [c91] [c89] [c88] [c87] [p7] [p6] [p4] [i3] [i2] [i1] [j32] [j30] [j29] [j28] [j27] [c86] [c85] [c84] [c82] [p3] [p2] [p1] [j26] [j25] [c81] [c80] [c79] [c77] [j23] [j22] [j21] [c75] [c74] [c73] [c72] [c71] [c70] [c69] [c68] [c67] [c65] [c63]
[p12] [p10] [c106] [p9] [j34] [p6] [p4] [i2] [j32] [j30] [j29] [c85] [p2] [p1] [j26] [j24] [j23] [j22] [c76] [c74] [c72] [c70] [j20] [c69] [c68] [c67] [c66] [c65] [c64] [c63] [c62] [c61] [c60] [c59] [c58] [c57] [j18] [j17] [j16] [c56] [c55] [c53] [c52] [c51] [c49] [c48] [c47] [j15] [c46] [c45] [c44] [c43] [c41] [c39] [c38] [c35] [j8] [c24]
[j71] [j70] [j67] [j66] [j65] [j63] [c114] [i31] [i30] [i26] [j60] [j59] [j58] [i24] [i23] [i22] [i21] [j57] [j56] [j55] [j54] [j52] [j51] [c109] [c108] [p14] [p13] [p12] [p10] [i20] [i19] [i18] [i17] [j47] [c105] [c104] [c103] [i15] [i14] [i13] [i12] [i11] [i10] [i9] [j46] [c102] [c101] [c100] [c99] [p9] [p8] [i8] [i7] [i6] [i5] [j43] [j42] [j39] [c97] [c96] [c93] [c92] [i4] [j38] [j37] [j36] [j35] [c91] [c90] [p6] [p5] [p4] [i3] [i2] [i1] [j33] [j32] [j31] [j27] [c85] [c83] [c82] [p3] [p2] [c81] [c79] [c78] [c75] [c74] [c73] [c71] [c70] [c69]
[j67] [c119] [c117] [c113] [j61] [i24] [j56] [j54] [j53] [c110] [c109] [c108] [p14] [p13] [p12] [p11] [p10] [i18] [j50] [c107] [c106] [c103] [i12] [i10] [j44] [c102] [c100] [p9] [j41] [j40] [c98] [c97] [c95] [c94] [c93] [j36] [j34] [c91] [c89] [c88] [p7] [p6] [p4] [i3] [i2] [j32] [j30] [j29] [j28] [j27] [c86] [c85] [c84] [p3] [p2] [p1] [j26] [j25] [c81] [c79] [c77] [j23] [j22] [j21] [c76] [c75] [c74] [c73] [c72] [c71] [c70] [j20] [c69] [c68] [c67] [c65] [c64] [c63] [c61] [c60] [c59] [c57] [j17] [j16] [c53] [c51] [c49]
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last updated on 2024-10-14 23:30 CEST by the dblp team
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