Aurelio Uncini

265 papers B 18C 11Misc 23Journal 119Unranked 78

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Closing the Modality Gap Aligns Group-Wise Semantics. CoRR Eleonora Grassucci, Giordano Cicchetti, Emanuele Frasca, Aurelio Uncini, Danilo Comminiello
2025	J	`jnl`	Beyond Answers: How LLMs Can Pursue Strategic Thinking in Education. CoRR Eleonora Grassucci, Gualtiero Grassucci, Aurelio Uncini, Danilo Comminiello
2025	J	`jnl`	Beyond Answers: How large language models can pursue strategic thinking in education. IEEE Signal Process. Mag. Eleonora Grassucci, Gualtiero Grassucci, Aurelio Uncini, Danilo Comminiello
2025	B	`conf`	EfficientAudioNet: Enhancing Environmental Sound Classification through Data Fusion of Multiple Audio Representations. IJCNN Michele Scarpiniti, Saud Hussain, Wangyi Pu, Aurelio Uncini, Yong-Cheol Lee
2025	B	`conf`	FoleyGRAM: Video-to-Audio Generation with GRAM-Aligned Multimodal Encoders. IJCNN Riccardo F. Gramaccioni, Christian Marinoni, Eleonora Grassucci, Giordano Cicchetti, Aurelio Uncini, Danilo Comminiello
2025	J	`jnl`	FoleyGRAM: Video-to-Audio Generation with GRAM-Aligned Multimodal Encoders. CoRR Riccardo Fosco Gramaccioni, Christian Marinoni, Eleonora Grassucci, Giordano Cicchetti, Aurelio Uncini, Danilo Comminiello
2025	J	`jnl`	Generalizing medical image representations via quaternion wavelet networks. Neurocomputing Luigi Sigillo, Eleonora Grassucci, Aurelio Uncini, Danilo Comminiello
2025	—	`conf`	Generative Models for Helmholtz Equation Solutions: A Dataset of Acoustic Materials. EUSIPCO Riccardo Fosco Gramaccioni, Christian Marinoni, Fabrizio Frezza, Aurelio Uncini, Danilo Comminiello
2025	J	`jnl`	Generative Models for Helmholtz Equation Solutions: A Dataset of Acoustic Materials. CoRR Riccardo Fosco Gramaccioni, Christian Marinoni, Fabrizio Frezza, Aurelio Uncini, Danilo Comminiello
2025	B	`conf`	Quaternion Wavelet-Conditioned Diffusion Models for Image Super-Resolution. IJCNN Luigi Sigillo, Christian Bianchi, Aurelio Uncini, Danilo Comminiello
2025	J	`jnl`	Quaternion Wavelet-Conditioned Diffusion Models for Image Super-Resolution. CoRR Luigi Sigillo, Christian Bianchi, Aurelio Uncini, Danilo Comminiello
2025	J	`jnl`	Semantic Compression via Multimodal Representation Learning. CoRR Eleonora Grassucci, Giordano Cicchetti, Aurelio Uncini, Danilo Comminiello
2025	J	`jnl`	Training-Free Multimodal Guidance for Video to Audio Generation. CoRR Eleonora Grassucci, Giuliano Galadini, Giordano Cicchetti, Aurelio Uncini, Fabio Antonacci, Danilo Comminiello
2024	J	`jnl`	A Meta-Learning Approach for Training Explainable Graph Neural Networks. IEEE Trans. Neural Networks Learn. Syst. Indro Spinelli, Simone Scardapane, Aurelio Uncini
2024	J	`jnl`	A Wavelet Diffusion GAN for Image Super-Resolution. CoRR Lorenzo Aloisi, Luigi Sigillo, Aurelio Uncini, Danilo Comminiello
2024	J	`jnl`	Demystifying the Hypercomplex: Inductive Biases in Hypercomplex Deep Learning. CoRR Danilo Comminiello, Eleonora Grassucci, Danilo P. Mandic, Aurelio Uncini
2024	J	`jnl`	Demystifying the Hypercomplex: Inductive biases in hypercomplex deep learning [Hypercomplex Signal and Image Processing]. IEEE Signal Process. Mag. Danilo Comminiello, Eleonora Grassucci, Danilo P. Mandic, Aurelio Uncini
2024	Misc	`conf`	Efficient Functional Link Adaptive Filters Based On Nearest Kronecker Product Decomposition. ICASSP Alireza Nezamdoust, Mario Huemer, Aurelio Uncini, Danilo Comminiello
2024	—	`conf`	Hierarchical Hypercomplex Network for Multimodal Emotion Recognition. MLSP Eleonora Lopez, Aurelio Uncini, Danilo Comminiello
2024	J	`jnl`	Hierarchical Hypercomplex Network for Multimodal Emotion Recognition. CoRR Eleonora Lopez, Aurelio Uncini, Danilo Comminiello
2024	J	`jnl`	Overview of the L3DAS23 Challenge on Audio-Visual Extended Reality. CoRR Christian Marinoni, Riccardo Fosco Gramaccioni, Changan Chen, Aurelio Uncini, Danilo Comminiello
2024	—	`conf`	PHemoNet: A Multimodal Network for Physiological Signals. RTSI Eleonora Lopez, Aurelio Uncini, Danilo Comminiello
2024	J	`jnl`	PHemoNet: A Multimodal Network for Physiological Signals. CoRR Eleonora Lopez, Aurelio Uncini, Danilo Comminiello
2024	—	`conf`	Spline Adaptive Exponential Functional Link Filter for Nonlinear Acoustic Echo Cancellation. EUSIPCO Alireza Nezamdoust, Michele Scarpiniti, Aurelio Uncini, Danilo Comminiello
2023	J	`jnl`	A New Class of Efficient Adaptive Filters for Online Nonlinear Modeling. IEEE Trans. Syst. Man Cybern. Syst. Danilo Comminiello, Alireza Nezamdoust, Simone Scardapane, Michele Scarpiniti, Amir Hussain, Aurelio Uncini
2023	—	`conf`	A Two-Stage Neural Network for Speech Signal Reconstruction from Mel Spectrograms. WIRN Filippo Villani, Michele Scarpiniti, Aurelio Uncini
2023	—	`conf`	A U-Net Based Architecture for Automatic Music Transcription. MLSP Michele Scarpiniti, Edoardo Sigismondi, Danilo Comminiello, Aurelio Uncini
2023	J	`jnl`	Continual learning with invertible generative models. Neural Networks Jary Pomponi, Simone Scardapane, Aurelio Uncini
2023	—	`conf`	Deep Echo State Network for Environmental Sound Classification. WIRN Michele Scarpiniti, Sofia Perticarà, Yong-Cheol Lee, Aurelio Uncini
2023	J	`jnl`	Dual quaternion ambisonics array for six-degree-of-freedom acoustic representation. Pattern Recognit. Lett. Eleonora Grassucci, Gioia Mancini, Christian Brignone, Aurelio Uncini, Danilo Comminiello
2023	J	`jnl`	GROUSE: A Task and Model Agnostic Wavelet- Driven Framework for Medical Imaging. IEEE Signal Process. Lett. Eleonora Grassucci, Luigi Sigillo, Aurelio Uncini, Danilo Comminiello
2023	J	`jnl`	Generalizing Medical Image Representations via Quaternion Wavelet Networks. CoRR Luigi Sigillo, Eleonora Grassucci, Aurelio Uncini, Danilo Comminiello
2023	Misc	`conf`	Overview of the L3DAS23 Challenge on Audio-Visual Extended Reality. ICASSP Christian Marinoni, Riccardo F. Gramaccioni, Changan Chen, Aurelio Uncini, Danilo Comminiello
2023	J	`jnl`	PHYDI: Initializing Parameterized Hypercomplex Neural Networks as Identity Functions. CoRR Matteo Mancanelli, Eleonora Grassucci, Aurelio Uncini, Danilo Comminiello
2023	—	`conf`	Phydi: Initializing Parameterized Hypercomplex Neural Networks As Identity Functions. MLSP Matteo Mancanelli, Eleonora Grassucci, Aurelio Uncini, Danilo Comminiello
2023	—	`conf`	Quaternion Gated Recurrent Units for Renewable Energy: Improving Power Forecasting. ICECS Gianfranco Di Marco, Danilo Comminiello, Michele Scarpiniti, Aurelio Uncini
2022	J	`jnl`	A Probabilistic Re-Intepretation of Confidence Scores in Multi-Exit Models. Entropy Jary Pomponi, Simone Scardapane, Aurelio Uncini
2022	J	`jnl`	Centroids Matching: an efficient Continual Learning approach operating in the embedding space. CoRR Jary Pomponi, Simone Scardapane, Aurelio Uncini
2022	J	`jnl`	Centroids Matching: an efficient Continual Learning approach operating in the embedding space. Trans. Mach. Learn. Res. Jary Pomponi, Simone Scardapane, Aurelio Uncini
2022	B	`conf`	CoVal-SGAN: A Complex-Valued Spectral GAN architecture for the effective audio data augmentation in construction sites. IJCNN Michele Scarpiniti, Cristiano Mauri, Danilo Comminiello, Aurelio Uncini, Yong-Cheol Lee
2022	J	`jnl`	Continual Learning with Invertible Generative Models. CoRR Jary Pomponi, Simone Scardapane, Aurelio Uncini
2022	—	`book`	Digital Audio Processing Fundamentals Aurelio Uncini
2022	J	`jnl`	Dual Quaternion Ambisonics Array for Six-Degree-of-Freedom Acoustic Representation. CoRR Eleonora Grassucci, Gioia Mancini, Christian Brignone, Aurelio Uncini, Danilo Comminiello
2022	J	`jnl`	Efficient Sound Event Localization and Detection in the Quaternion Domain. IEEE Trans. Circuits Syst. II Express Briefs Christian Brignone, Gioia Mancini, Eleonora Grassucci, Aurelio Uncini, Danilo Comminiello
2022	J	`jnl`	FairDrop: Biased Edge Dropout for Enhancing Fairness in Graph Representation Learning. IEEE Trans. Artif. Intell. Indro Spinelli, Simone Scardapane, Amir Hussain, Aurelio Uncini
2022	B	`conf`	Hypercomplex Image- to- Image Translation. IJCNN Eleonora Grassucci, Luigi Sigillo, Aurelio Uncini, Danilo Comminiello
2022	J	`jnl`	Hypercomplex Image-to-Image Translation. CoRR Eleonora Grassucci, Luigi Sigillo, Aurelio Uncini, Danilo Comminiello
2022	Misc	`conf`	L3DAS22 Challenge: Learning 3D Audio Sources in a Real Office Environment. ICASSP Eric Guizzo, Christian Marinoni, Marco Pennese, Xinlei Ren, Xiguang Zheng, Chen Zhang, Bruno S. Masiero, Aurelio Uncini, Danilo Comminiello
2022	J	`jnl`	L3DAS22 Challenge: Learning 3D Audio Sources in a Real Office Environment. CoRR Eric Guizzo, Christian Marinoni, Marco Pennese, Xinlei Ren, Xiguang Zheng, Chen Zhang, Bruno S. Masiero, Aurelio Uncini, Danilo Comminiello
2022	B	`conf`	Pixle: a fast and effective black-box attack based on rearranging pixels. IJCNN Jary Pomponi, Simone Scardapane, Aurelio Uncini
2022	J	`jnl`	Pixle: a fast and effective black-box attack based on rearranging pixels. CoRR Jary Pomponi, Simone Scardapane, Aurelio Uncini
2021	J	`jnl`	A Meta-Learning Approach for Training Explainable Graph Neural Networks. CoRR Indro Spinelli, Simone Scardapane, Aurelio Uncini
2021	J	`jnl`	A New Class of Efficient Adaptive Filters for Online Nonlinear Modeling. CoRR Danilo Comminiello, Alireza Nezamdoust, Simone Scardapane, Michele Scarpiniti, Amir Hussain, Aurelio Uncini
2021	Misc	`conf`	A Quaternion-Valued Variational Autoencoder. ICASSP Eleonora Grassucci, Danilo Comminiello, Aurelio Uncini
2021	J	`jnl`	Adaptive Propagation Graph Convolutional Network. IEEE Trans. Neural Networks Learn. Syst. Indro Spinelli, Simone Scardapane, Aurelio Uncini
2021	J	`jnl`	An Information-Theoretic Perspective on Proper Quaternion Variational Autoencoders. Entropy Eleonora Grassucci, Danilo Comminiello, Aurelio Uncini
2021	J	`jnl`	Bayesian Neural Networks with Maximum Mean Discrepancy regularization. Neurocomputing Jary Pomponi, Simone Scardapane, Aurelio Uncini
2021	J	`jnl`	Biased Edge Dropout for Enhancing Fairness in Graph Representation Learning. CoRR Indro Spinelli, Simone Scardapane, Amir Hussain, Aurelio Uncini
2021	J	`jnl`	Deep Belief Network based audio classification for construction sites monitoring. Expert Syst. Appl. Michele Scarpiniti, Francesco Colasante, Simone Di Tanna, Marco Ciancia, Yong-Cheol Lee, Aurelio Uncini
2021	—	`conf`	L3DAS21 Challenge: Machine Learning for 3D Audio Signal Processing. MLSP 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
2021	J	`jnl`	L3DAS21 Challenge: Machine Learning for 3D Audio Signal Processing. CoRR 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
2021	J	`jnl`	Structured Ensembles: An approach to reduce the memory footprint of ensemble methods. Neural Networks Jary Pomponi, Simone Scardapane, Aurelio Uncini
2021	J	`jnl`	Structured Ensembles: an Approach to Reduce the Memory Footprint of Ensemble Methods. CoRR Jary Pomponi, Simone Scardapane, Aurelio Uncini
2020	—	`ch.`	A Low-Complexity Linear-in-the-Parameters Nonlinear Filter for Distorted Speech Signals. Neural Advances in Processing Nonlinear Dynamic Signals Danilo Comminiello, Michele Scarpiniti, Simone Scardapane, Raffaele Parisi, Aurelio Uncini
2020	—	`conf`	A Wide Multimodal Dense U-Net for Fast Magnetic Resonance Imaging. EUSIPCO Antonio Falvo, Danilo Comminiello, Simone Scardapane, Michele Scarpiniti, Aurelio Uncini
2020	J	`jnl`	Adaptive Propagation Graph Convolutional Network. CoRR Indro Spinelli, Simone Scardapane, Aurelio Uncini
2020	J	`jnl`	Advanced Sound Classifiers and Performance Analyses for Accurate Audio-Based Construction Project Monitoring. J. Comput. Civ. Eng. Yong-Cheol Lee, Michele Scarpiniti, Aurelio Uncini
2020	J	`jnl`	Bayesian Neural Networks With Maximum Mean Discrepancy Regularization. CoRR Jary Pomponi, Simone Scardapane, Aurelio Uncini
2020	J	`jnl`	Complex-Valued Neural Networks With Nonparametric Activation Functions. IEEE Trans. Emerg. Top. Comput. Intell. Simone Scardapane, Steven Van Vaerenbergh, Amir Hussain, Aurelio Uncini
2020	J	`jnl`	Compressing deep-quaternion neural networks with targeted regularisation. CAAI Trans. Intell. Technol. Riccardo Vecchi, Simone Scardapane, Danilo Comminiello, Aurelio Uncini
2020	—	`conf`	Deep Recurrent Neural Networks for Audio Classification in Construction Sites. EUSIPCO Michele Scarpiniti, Danilo Comminiello, Aurelio Uncini, Yong-Cheol Lee
2020	Misc	`conf`	Differentiable Branching In Deep Networks for Fast Inference. ICASSP Simone Scardapane, Danilo Comminiello, Michele Scarpiniti, Enzo Baccarelli, Aurelio Uncini
2020	J	`jnl`	Efficient continual learning in neural networks with embedding regularization. Neurocomputing Jary Pomponi, Simone Scardapane, Vincenzo Lomonaco, Aurelio Uncini
2020	—	`ch.`	Learning Activation Functions from Data Using Cubic Spline Interpolation. Neural Advances in Processing Nonlinear Dynamic Signals Simone Scardapane, Michele Scarpiniti, Danilo Comminiello, Aurelio Uncini
2020	J	`jnl`	Missing data imputation with adversarially-trained graph convolutional networks. Neural Networks Indro Spinelli, Simone Scardapane, Aurelio Uncini
2020	—	`ch.`	Music Genre Classification Using Stacked Auto-Encoders. Neural Approaches to Dynamics of Signal Exchanges Michele Scarpiniti, Simone Scardapane, Danilo Comminiello, Aurelio Uncini
2020	—	`ch.`	On 4-Dimensional Hypercomplex Algebras in Adaptive Signal Processing. Neural Advances in Processing Nonlinear Dynamic Signals Francesca Ortolani, Danilo Comminiello, Michele Scarpiniti, Aurelio Uncini
2020	J	`jnl`	Optimized training and scalable implementation of Conditional Deep Neural Networks with early exits for Fog-supported IoT applications. Inf. Sci. Enzo Baccarelli, Simone Scardapane, Michele Scarpiniti, Alireza Momenzadeh, Aurelio Uncini
2020	J	`jnl`	Pseudo-Rehearsal for Continual Learning with Normalizing Flows. CoRR Jary Pomponi, Simone Scardapane, Aurelio Uncini
2020	J	`jnl`	Quaternion-Valued Variational Autoencoder. CoRR Eleonora Grassucci, Danilo Comminiello, Aurelio Uncini
2020	—	`ch.`	Separation of Drum and Bass from Monaural Tracks. Neural Advances in Processing Nonlinear Dynamic Signals Michele Scarpiniti, Simone Scardapane, Danilo Comminiello, Raffaele Parisi, Aurelio Uncini
2020	J	`jnl`	Why Should We Add Early Exits to Neural Networks? Cogn. Comput. Simone Scardapane, Michele Scarpiniti, Enzo Baccarelli, Aurelio Uncini
2020	J	`jnl`	Why should we add early exits to neural networks? CoRR Simone Scardapane, Michele Scarpiniti, Enzo Baccarelli, Aurelio Uncini
2019	J	`jnl`	A Multimodal Deep Network for the Reconstruction of T2W MR Images. CoRR Antonio Falvo, Danilo Comminiello, Simone Scardapane, Giorgio Finesi, Michele Scarpiniti, Aurelio Uncini
2019	—	`conf`	A Multimodal Dense U-Net For Accelerating Multiple Sclerosis MRI. MLSP Antonio Falvo, Danilo Comminiello, Simone Scardapane, Michele Scarpiniti, Aurelio Uncini
2019	J	`jnl`	Compressing deep quaternion neural networks with targeted regularization. CoRR Riccardo Vecchi, Simone Scardapane, Danilo Comminiello, Aurelio Uncini
2019	—	`conf`	Convex Combination of Spline Adaptive Filters. EUSIPCO Michele Scarpiniti, Danilo Comminiello, Aurelio Uncini
2019	J	`jnl`	Efficient Continual Learning in Neural Networks with Embedding Regularization. CoRR Jary Pomponi, Simone Scardapane, Vincenzo Lomonaco, Aurelio Uncini
2019	J	`jnl`	Efficient data augmentation using graph imputation neural networks. CoRR Indro Spinelli, Simone Scardapane, Michele Scarpiniti, Aurelio Uncini
2019	Misc	`conf`	Frequency-domain Adaptive Filtering: from Real to Hypercomplex Signal Processing. ICASSP Danilo Comminiello, Michele Scarpiniti, Raffaele Parisi, Aurelio Uncini
2019	J	`jnl`	Joint feature fusion and optimization via deep discriminative model for mobile palmprint verification. J. Electronic Imaging Mahdieh Izadpanahkakhk, Seyyed Mohammad Razavi, Mehran Taghipour-Gorjikolaie, Seyyed Hamid Zahiri, Aurelio Uncini
2019	J	`jnl`	Kafnets: Kernel-based non-parametric activation functions for neural networks. Neural Networks Simone Scardapane, Steven Van Vaerenbergh, Simone Totaro, Aurelio Uncini
2019	J	`jnl`	Missing Data Imputation with Adversarially-trained Graph Convolutional Networks. CoRR Indro Spinelli, Simone Scardapane, Aurelio Uncini
2019	J	`jnl`	Novel mobile palmprint databases for biometric authentication. Int. J. Grid Util. Comput. Mahdieh Izadpanahkakhk, Seyyed Mohammad Razavi, Mehran Taghipour-Gorjikolaie, Seyyed Hamid Zahiri, Aurelio Uncini
2019	J	`jnl`	On the Stability and Generalization of Learning with Kernel Activation Functions. CoRR Michele Cirillo, Simone Scardapane, Steven Van Vaerenbergh, Aurelio Uncini
2019	Misc	`conf`	Quaternion Convolutional Neural Networks for Detection and Localization of 3D Sound Events. ICASSP Danilo Comminiello, Marco Lella, Simone Scardapane, Aurelio Uncini
2019	J	`jnl`	Steady-State Performance of an Adaptive Combined MISO Filter Using the Multichannel Affine Projection Algorithm. Algorithms Danilo Comminiello, Michele Scarpiniti, Luis Antonio Azpicueta-Ruiz, Aurelio Uncini
2019	J	`jnl`	Widely Linear Kernels for Complex-Valued Kernel Activation Functions. CoRR Simone Scardapane, Steven Van Vaerenbergh, Danilo Comminiello, Aurelio Uncini
2019	Misc	`conf`	Widely Linear Kernels for Complex-valued Kernel Activation Functions. ICASSP Simone Scardapane, Steven Van Vaerenbergh, Danilo Comminiello, Aurelio Uncini
2018	J	`jnl`	Bayesian Random Vector Functional-Link Networks for Robust Data Modeling. IEEE Trans. Cybern. Simone Scardapane, Dianhui Wang, Aurelio Uncini
2018	—	`conf`	Combined Sparse Regularization for Nonlinear Adaptive Filters. EUSIPCO Danilo Comminiello, Michele Scarpiniti, Simone Scardapane, Luis Antonio Azpicueta-Ruiz, Aurelio Uncini
2018	J	`jnl`	Complex-valued Neural Networks with Non-parametric Activation Functions. CoRR Simone Scardapane, Steven Van Vaerenbergh, Amir Hussain, Aurelio Uncini
2018	—	`ch.`	Effective Blind Source Separation Based on the Adam Algorithm. Multidisciplinary Approaches to Neural Computing Michele Scarpiniti, Simone Scardapane, Danilo Comminiello, Raffaele Parisi, Aurelio Uncini
2018	J	`jnl`	Energy performance of heuristics and meta-heuristics for real-time joint resource scaling and consolidation in virtualized networked data centers. J. Supercomput. Michele Scarpiniti, Enzo Baccarelli, Paola Gabriela Vinueza Naranjo, Aurelio Uncini
2018	J	`jnl`	Guest Editorial Special Issue on Computational Intelligence for End-to-End Audio Processing. IEEE Trans. Emerg. Top. Comput. Intell. Stefano Squartini, Björn W. Schuller, Aurelio Uncini, Chuan-Kang Ting
2018	—	`conf`	Improving Graph Convolutional Networks with Non-Parametric Activation Functions. EUSIPCO Simone Scardapane, Steven Van Vaerenbergh, Danilo Comminiello, Aurelio Uncini
2018	J	`jnl`	Improving Graph Convolutional Networks with Non-Parametric Activation Functions. CoRR Simone Scardapane, Steven Van Vaerenbergh, Danilo Comminiello, Aurelio Uncini
2018	—	`ch.`	Privacy-Preserving Data Mining for Distributed Medical Scenarios. Multidisciplinary Approaches to Neural Computing Simone Scardapane, Rosa Altilio, Valentina Ciccarelli, Aurelio Uncini, Massimo Panella
2018	J	`jnl`	Quaternion Convolutional Neural Networks for Detection and Localization of 3D Sound Events. CoRR Danilo Comminiello, Marco Lella, Simone Scardapane, Aurelio Uncini
2018	J	`jnl`	Recurrent Neural Networks with Flexible Gates using Kernel Activation Functions. CoRR Simone Scardapane, Steven Van Vaerenbergh, Danilo Comminiello, Simone Totaro, Aurelio Uncini
2018	—	`conf`	Recurrent Neural Networks with flexible Gates using Kernel activation Functions. MLSP Simone Scardapane, Steven Van Vaerenbergh, Danilo Comminiello, Simone Totaro, Aurelio Uncini
2018	C	`conf`	Sparse functional link adaptive filter using an ℓ ISCAS Danilo Comminiello, Michele Scarpiniti, Simone Scardapane, Aurelio Uncini
2017	—	`conf`	A CNN Approach for Audio Classification in Construction Sites. IIH-MSP (1) Alessandro Maccagno, Andrea Mastropietro, Umberto Mazziotta, Michele Scarpiniti, Yong-Cheol Lee, Aurelio Uncini
2017	—	`conf`	A Multimodal Deep Network for the Reconstruction of T2W MR Images. IIH-MSP (1) Antonio Falvo, Danilo Comminiello, Simone Scardapane, Michele Scarpiniti, Aurelio Uncini
2017	J	`jnl`	Combined nonlinear filtering architectures involving sparse functional link adaptive filters. Signal Process. Danilo Comminiello, Michele Scarpiniti, Luis Antonio Azpicueta-Ruiz, Jerónimo Arenas-García, Aurelio Uncini
2017	—	`conf`	Efficient Data Augmentation Using Graph Imputation Neural Networks. IIH-MSP (1) Indro Spinelli, Simone Scardapane, Michele Scarpiniti, Aurelio Uncini
2017	—	`conf`	Flexible Generative Adversarial Networks with Non-parametric Activation Functions. IIH-MSP (1) Eleonora Grassucci, Simone Scardapane, Danilo Comminiello, Aurelio Uncini
2017	J	`jnl`	Frequency domain quaternion adaptive filters: Algorithms and convergence performance. Signal Process. Francesca Ortolani, Danilo Comminiello, Michele Scarpiniti, Aurelio Uncini
2017	—	`conf`	Full proportionate functional link adaptive filters for nonlinear acoustic echo cancellation. EUSIPCO Danilo Comminiello, Michele Scarpiniti, Luis Antonio Azpicueta-Ruiz, Jerónimo Arenas-García, Aurelio Uncini
2017	J	`jnl`	Fully Decentralized Semi-supervised Learning via Privacy-preserving Matrix Completion. IEEE Trans. Neural Networks Learn. Syst. Roberto Fierimonte, Simone Scardapane, Aurelio Uncini, Massimo Panella
2017	J	`jnl`	Group sparse regularization for deep neural networks. Neurocomputing Simone Scardapane, Danilo Comminiello, Amir Hussain, Aurelio Uncini
2017	J	`jnl`	Kafnets: kernel-based non-parametric activation functions for neural networks. CoRR Simone Scardapane, Steven Van Vaerenbergh, Aurelio Uncini
2017	B	`conf`	On the use of deep recurrent neural networks for detecting audio spoofing attacks. IJCNN Simone Scardapane, Lucas Stoffl, Florian Röhrbein, Aurelio Uncini
2017	—	`conf`	Quaternion Widely Linear Forecasting of Air Quality. IIH-MSP (1) Michele Scarpiniti, Danilo Comminiello, Federico Muciaccia, Aurelio Uncini
2017	J	`jnl`	Semi-supervised Echo State Networks for Audio Classification. Cogn. Comput. Simone Scardapane, Aurelio Uncini
2016	—	`ed.`	26th IEEE International Workshop on Machine Learning for Signal Processing, MLSP 2016, Vietri sul Mare, Salerno, Italy, September 13-16, 2016 MLSP Francesco A. N. Palmieri, Aurelio Uncini, Kostas I. Diamantaras, Jan Larsen
2016	—	`ch.`	A Comparison of Consensus Strategies for Distributed Learning of Random Vector Functional-Link Networks. Advances in Neural Networks Roberto Fierimonte, Simone Scardapane, Massimo Panella, Aurelio Uncini
2016	—	`ch.`	A Nonlinear Acoustic Echo Canceller with Improved Tracking Capabilities. Recent Advances in Nonlinear Speech Processing Danilo Comminiello, Michele Scarpiniti, Simone Scardapane, Raffaele Parisi, Aurelio Uncini
2016	—	`conf`	A block-based combined scheme exploiting sparsity in nonlinear acoustic echo cancellation. MLSP Danilo Comminiello, Michele Scarpiniti, Luis Antonio Azpicueta-Ruiz, Jerónimo Arenas-García, Aurelio Uncini
2016	J	`jnl`	A semi-supervised random vector functional-link network based on the transductive framework. Inf. Sci. Simone Scardapane, Danilo Comminiello, Michele Scarpiniti, Aurelio Uncini
2016	—	`ch.`	Benchmarking Functional Link Expansions for Audio Classification Tasks. Advances in Neural Networks Simone Scardapane, Danilo Comminiello, Michele Scarpiniti, Raffaele Parisi, Aurelio Uncini
2016	B	`conf`	Design of hybrid nonlinear spline adaptive filters for active noise control. IJCNN Vinal Patel, Danilo Comminiello, Michele Scarpiniti, Nithin V. George, Aurelio Uncini
2016	—	`conf`	Diffusion spline adaptive filtering. EUSIPCO Simone Scardapane, Michele Scarpiniti, Danilo Comminiello, Aurelio Uncini
2016	J	`jnl`	Distributed Reservoir Computing with Sparse Readouts [Research Frontier]. IEEE Comput. Intell. Mag. Simone Scardapane, Massimo Panella, Danilo Comminiello, Amir Hussain, Aurelio Uncini
2016	J	`jnl`	Distributed semi-supervised support vector machines. Neural Networks Simone Scardapane, Roberto Fierimonte, Paolo Di Lorenzo, Massimo Panella, Aurelio Uncini
2016	B	`conf`	Distributed spectral clustering based on Euclidean distance matrix completion. IJCNN Simone Scardapane, Rosa Altilio, Massimo Panella, Aurelio Uncini
2016	J	`jnl`	Effective Blind Source Separation Based on the Adam Algorithm. CoRR Michele Scarpiniti, Simone Scardapane, Danilo Comminiello, Raffaele Parisi, Aurelio Uncini
2016	—	`ch.`	Frequency-Domain Adaptive Filtering in Hypercomplex Systems. Advances in Neural Networks Francesca Ortolani, Danilo Comminiello, Michele Scarpiniti, Aurelio Uncini
2016	J	`jnl`	Granular Computing Techniques for Classification and Semantic Characterization of Structured Data. Cogn. Comput. Filippo Maria Bianchi, Simone Scardapane, Antonello Rizzi, Aurelio Uncini, Alireza Sadeghian
2016	J	`jnl`	Group Sparse Regularization for Deep Neural Networks. CoRR Simone Scardapane, Danilo Comminiello, Amir Hussain, Aurelio Uncini
2016	J	`jnl`	Learning activation functions from data using cubic spline interpolation. CoRR Simone Scardapane, Michele Scarpiniti, Danilo Comminiello, Aurelio Uncini
2016	J	`jnl`	Steady-State Performance of Spline Adaptive Filters. IEEE Trans. Signal Process. Michele Scarpiniti, Danilo Comminiello, Gaetano Scarano, Raffaele Parisi, Aurelio Uncini
2016	—	`conf`	The widely linear block quaternion least mean square algorithm for fast computation in 3D audio systems. MLSP Francesca Ortolani, Danilo Comminiello, Aurelio Uncini
2015	—	`conf`	A nonlinear architecture involving a combination of proportionate functional link adaptive filters. EUSIPCO Danilo Comminiello, Michele Scarpiniti, Luis Antonio Azpicueta-Ruiz, Jerónimo Arenas-García, Aurelio Uncini
2015	B	`conf`	An interactive optimization procedure for stereophonic acoustic echo cancellation systems. IJCNN Laura Romoli, Stefania Cecchi, Francesco Piazza, Danilo Comminiello, Michele Scarpiniti, Aurelio Uncini
2015	J	`jnl`	Distributed learning for Random Vector Functional-Link networks. Inf. Sci. Simone Scardapane, Dianhui Wang, Massimo Panella, Aurelio Uncini
2015	B	`conf`	Distributed music classification using Random Vector Functional-Link nets. IJCNN Simone Scardapane, Roberto Fierimonte, Dianhui Wang, Massimo Panella, Aurelio Uncini
2015	B	`conf`	Functional link expansions for nonlinear modeling of audio and speech signals. IJCNN Danilo Comminiello, Simone Scardapane, Michele Scarpiniti, Raffaele Parisi, Aurelio Uncini
2015	J	`jnl`	Improving nonlinear modeling capabilities of functional link adaptive filters. Neural Networks Danilo Comminiello, Michele Scarpiniti, Simone Scardapane, Raffaele Parisi, Aurelio Uncini
2015	—	`ch.`	Integration of Audio and Video Clues for Source Localization by a Robotic Head. Advances in Neural Networks Raffaele Parisi, Danilo Comminiello, Michele Scarpiniti, Aurelio Uncini
2015	J	`jnl`	Intelligent Acoustic Interfaces With Multisensor Acquisition for Immersive Reproduction. IEEE Trans. Multim. Danilo Comminiello, Stefania Cecchi, Michele Scarpiniti, Michele Gasparini, Laura Romoli, Francesco Piazza, Aurelio Uncini
2015	—	`conf`	Learning from Distributed Data Sources Using Random Vector Functional-Link Networks. INNS Conference on Big Data Simone Scardapane, Massimo Panella, Danilo Comminiello, Aurelio Uncini
2015	J	`jnl`	Nonlinear system identification using IIR Spline Adaptive Filters. Signal Process. Michele Scarpiniti, Danilo Comminiello, Raffaele Parisi, Aurelio Uncini
2015	J	`jnl`	Novel Cascade Spline Architectures for the Identification of Nonlinear Systems. IEEE Trans. Circuits Syst. I Regul. Pap. Michele Scarpiniti, Danilo Comminiello, Raffaele Parisi, Aurelio Uncini
2015	—	`ch.`	Online Selection of Functional Links for Nonlinear System Identification. Advances in Neural Networks Danilo Comminiello, Simone Scardapane, Michele Scarpiniti, Raffaele Parisi, Aurelio Uncini
2015	J	`jnl`	Online Sequential Extreme Learning Machine With Kernels. IEEE Trans. Neural Networks Learn. Syst. Simone Scardapane, Danilo Comminiello, Michele Scarpiniti, Aurelio Uncini
2015	J	`jnl`	Prediction of telephone calls load using Echo State Network with exogenous variables. Neural Networks Filippo Maria Bianchi, Simone Scardapane, Aurelio Uncini, Antonello Rizzi, Alireza Sadeghian
2015	—	`ch.`	Significance-Based Pruning for Reservoir's Neurons in Echo State Networks. Advances in Neural Networks Simone Scardapane, Danilo Comminiello, Michele Scarpiniti, Aurelio Uncini
2014	B	`conf`	Advanced intelligent acoustic interfaces for multichannel audio reproduction. IJCNN Danilo Comminiello, Stefania Cecchi, Michele Gasparini, Michele Scarpiniti, Aurelio Uncini, Francesco Piazza
2014	B	`conf`	An effective criterion for pruning reservoir's connections in Echo State Networks. IJCNN Simone Scardapane, Gabriele Nocco, Danilo Comminiello, Michele Scarpiniti, Aurelio Uncini
2014	B	`conf`	An interpretable graph-based image classifier. IJCNN Filippo Maria Bianchi, Simone Scardapane, Lorenzo Livi, Aurelio Uncini, Antonello Rizzi
2014	B	`conf`	GP-based kernel evolution for L2-Regularization Networks. IEEE Congress on Evolutionary Computation Simone Scardapane, Danilo Comminiello, Michele Scarpiniti, Aurelio Uncini
2014	J	`jnl`	Green multimedia wireless sensor networks: distributed intelligent data fusion, in-network processing, and optimized resource management. IEEE Wirel. Commun. Enzo Baccarelli, Francesco Chiti, Nicola Cordeschi, Romano Fantacci, Dania Marabissi, Raffaele Parisi, Aurelio Uncini
2014	J	`jnl`	Hammerstein uniform cubic spline adaptive filters: Learning and convergence properties. Signal Process. Michele Scarpiniti, Danilo Comminiello, Raffaele Parisi, Aurelio Uncini
2014	J	`jnl`	Nonlinear Acoustic Echo Cancellation Based on Sparse Functional Link Representations. IEEE ACM Trans. Audio Speech Lang. Process. Danilo Comminiello, Michele Scarpiniti, Luis Antonio Azpicueta-Ruiz, Jerónimo Arenas-García, Aurelio Uncini
2014	—	`conf`	Novel decorrelation approach for an advanced multichannel acoustic echo cancellation system. EUSIPCO Laura Romoli, Stefania Cecchi, Danilo Comminiello, Francesco Piazza, Aurelio Uncini
2013	—	`conf`	A Preliminary Study on Transductive Extreme Learning Machines. WIRN Simone Scardapane, Danilo Comminiello, Michele Scarpiniti, Aurelio Uncini
2013	J	`jnl`	Combined adaptive beamforming schemes for nonstationary interfering noise reduction. Signal Process. Danilo Comminiello, Michele Scarpiniti, Raffaele Parisi, Aurelio Uncini
2013	—	`conf`	Combined adaptive beamforming techniques for noise reduction in changing environments. TSP Danilo Comminiello, Michele Scarpiniti, Raffaele Parisi, Aurelio Uncini
2013	C	`conf`	Convex combination of MIMO filters for multichannel acoustic echo cancellation. ISPA Danilo Comminiello, Simone Scardapane, Michele Scarpiniti, Raffaele Parisi, Aurelio Uncini
2013	J	`jnl`	Functional Link Adaptive Filters for Nonlinear Acoustic Echo Cancellation. IEEE Trans. Speech Audio Process. Danilo Comminiello, Michele Scarpiniti, Luis Antonio Azpicueta-Ruiz, Jerónimo Arenas-García, Aurelio Uncini
2013	—	`conf`	Interactive quality enhancement in acoustic echo cancellation. TSP Danilo Comminiello, Simone Scardapane, Michele Scarpiniti, Aurelio Uncini
2013	—	`conf`	Localization of audio sources by multiple binaural sensors. DSP Raffaele Parisi, Riccardo Russo, Michele Scarpiniti, Aurelio Uncini
2013	C	`conf`	Music classification using extreme learning machines. ISPA Simone Scardapane, Danilo Comminiello, Michele Scarpiniti, Aurelio Uncini
2013	J	`jnl`	Nonlinear spline adaptive filtering. Signal Process. Michele Scarpiniti, Danilo Comminiello, Raffaele Parisi, Aurelio Uncini
2013	—	`conf`	Proportionate Algorithms for Blind Source Separation. WIRN Michele Scarpiniti, Danilo Comminiello, Simone Scardapane, Raffaele Parisi, Aurelio Uncini
2012	—	`conf`	A Collaborative Filter Approach to Adaptive Noise Cancellation. WIRN Michele Scarpiniti, Danilo Comminiello, Raffaele Parisi, Aurelio Uncini
2012	J	`jnl`	Cepstrum Prefiltering for Binaural Source Localization in Reverberant Environments. IEEE Signal Process. Lett. Raffaele Parisi, Flavia Camoes, Michele Scarpiniti, Aurelio Uncini
2012	—	`conf`	PM 10 Forecasting Using Kernel Adaptive Filtering: An Italian Case Study. WIRN Simone Scardapane, Danilo Comminiello, Michele Scarpiniti, Raffaele Parisi, Aurelio Uncini
2011	—	`conf`	A Collaborative Approach to Time-Series Prediction. WIRN Michele Scarpiniti, Danilo Comminiello, Raffaele Parisi, Aurelio Uncini
2011	—	`conf`	Binaural sound source localization in the presence of reverberation. DSP Cecilia Maria Zannini, Raffaele Parisi, Aurelio Uncini
2011	—	`conf`	Comparison of Hammerstein and Wiener systems for nonlinear acoustic echo cancelers in reverberant environments. DSP Michele Scarpiniti, Danilo Comminiello, Raffaele Parisi, Aurelio Uncini
2010	—	`conf`	A Geometrically Constrained ICA Algorithm for Blind Separation in Convolutive Environments. WIRN Michele Scarpiniti, Francesco Di Palma, Raffaele Parisi, Aurelio Uncini
2010	—	`conf`	A Pre-Filtering and Post-Filtering Approach to Blind Source Separation. WIRN Michele Scarpiniti, Gabriele Bunkheila, Raffaele Parisi, Aurelio Uncini
2010	C	`conf`	A novel affine projection algorithm for superdirective microphone array beamforming. ISCAS Danilo Comminiello, Michele Scarpiniti, Raffaele Parisi, Aurelio Uncini
2010	J	`jnl`	Guest Editorial Special Section on Blind Signal Processing and Its Applications. IEEE Trans. Circuits Syst. I Regul. Pap. Shoji Makino, Andrzej Cichocki, Wei Xing Zheng, Aurelio Uncini
2010	C	`conf`	Improved TDOA disambiguation techniques for sound source localization in reverberant environments. ISCAS Cecilia Maria Zannini, Albenzio Cirillo, Raffaele Parisi, Aurelio Uncini
2010	—	`conf`	Simplified optimal line selection for acoustic localization in the presence of reverberation. EUSIPCO Albenzio Cirillo, Raffaele Parisi, Michele Scarpiniti, Aurelio Uncini
2009	—	`conf`	A Partitioned Frequency Block Algorithm for Blind Separation in Reverberant Environments. WIRN Michele Scarpiniti, Andrea Picaro, Raffaele Parisi, Aurelio Uncini
2009	—	`conf`	A new consistency measure for localization of sound sources in the presence of reverberation. DPS Albenzio Cirillo, Raffaele Parisi, Aurelio Uncini
2009	—	`conf`	Stereo acoustical echo cancellation based on common poles. DPS Gabriele Bunkheila, Michele Scarpiniti, Raffaele Parisi, Aurelio Uncini
2008	—	`conf`	A Flexible Natural Gradient Approach to Blind Separation of Complex Signals. WIRN Michele Scarpiniti, Daniele Vigliano, Raffaele Parisi, Aurelio Uncini
2008	J	`jnl`	Data Fusion Framework: concurrent architecture for real-time processing. Int. J. Inf. Commun. Technol. Stefano Laoreti, Davide Renzi, Raffaele Parisi, Aurelio Uncini
2008	J	`jnl`	Flexible Nonlinear Blind Signal Separation in the Complex Domain. Int. J. Neural Syst. Daniele Vigliano, Michele Scarpiniti, Raffaele Parisi, Aurelio Uncini
2008	J	`jnl`	Generalized splitting functions for blind separation of complex signals. Neurocomputing Michele Scarpiniti, Daniele Vigliano, Raffaele Parisi, Aurelio Uncini
2008	C	`conf`	Genre classification of compressed audio data. MMSP Antonello Rizzi, Nicola Maurizio Buccino, Massimo Panella, Aurelio Uncini
2008	C	`conf`	Model order selection for estimation of Common Acoustical Poles. ISCAS Gabriele Bunkheila, Raffaele Parisi, Aurelio Uncini
2008	Misc	`conf`	Sound mapping in reverberant rooms by a robust direct method. ICASSP Albenzio Cirillo, Raffaele Parisi, Aurelio Uncini
2007	—	`conf`	Generalized Flexible Splitting Function Outperforms Classical Approaches in Blind Signal Separation of Complex Environment. DSP Michele Scarpiniti, Daniele Vigliano, Raffaele Parisi, Aurelio Uncini
2007	—	`conf`	Source Localization in Reverberant Environments by Consistent Peak Selection. ICASSP (1) Raffaele Parisi, Albenzio Cirillo, Massimo Panella, Aurelio Uncini
2006	C	`conf`	An IIR architecture for BSS in strong nonlinear convolutive environments. ISCAS Daniele Vigliano, Raffaele Parisi, Aurelio Uncini
2006	—	`conf`	Flexible ICA approach to the nonlinear blind signal separation in the complex domain. EUSIPCO Daniele Vigliano, Michele Scarpiniti, Raffaele Parisi, Aurelio Uncini
2006	—	`conf`	Optimal Short-Time Features for Music/Speech Classification of Compressed Audio Data. CIMCA/IAWTIC Antonello Rizzi, Nicola Maurizio Buccino, Massimo Panella, Aurelio Uncini
2006	C	`conf`	Particle swarm localization of acoustic sources in the presence of reverberation. ISCAS Raffaele Parisi, P. Croene, Aurelio Uncini
2005	—	`conf`	A Recurrent ICA Approach to a Novel BSS Convolutive Nonlinear Problem. WIRN/NAIS Daniele Vigliano, Raffaele Parisi, Aurelio Uncini
2005	J	`jnl`	An information theoretic approach to a novel nonlinear independent component analysis paradigm. Signal Process. Daniele Vigliano, Raffaele Parisi, Aurelio Uncini
2004	—	`conf`	A Flexible ICA Approach to a Novel BSS Convolutive Nonlinear Problem: Preliminary Results. WIRN Daniele Vigliano, Raffaele Parisi, Aurelio Uncini
2004	—	`conf`	A novel recurrent network for independent component analysis of post nonlinear convolutive mixtures. ICASSP (5) Daniele Vigliano, Raffaele Parisi, Aurelio Uncini
2004	—	`conf`	Nonlinear ICA solutions for convolutive mixing of PNL mixtures. ISCAS (5) Daniele Vigliano, Aurelio Uncini, Raffaele Parisi
2004	J	`jnl`	Regularising neural networks using flexible multivariate activation function. Neural Networks Mirko Solazzi, Aurelio Uncini
2004	J	`jnl`	Spline neural networks for blind separation of post-nonlinear-linear mixtures. IEEE Trans. Circuits Syst. I Regul. Pap. Mirko Solazzi, Aurelio Uncini
2003	—	`conf`	Adaptive room acoustic response simulation: a virtual 3D application. NNSP Giovanni Costantini, Daniele Casali, Aurelio Uncini
2003	J	`jnl`	Audio signal processing by neural networks. Neurocomputing Aurelio Uncini
2003	—	`conf`	Automatic Polyphonic Piano Music Transcription by a Multi-classification Discriminative-Learning. WIRN Stefano D'Urso, Aurelio Uncini
2003	J	`jnl`	Blind signal processing by complex domain adaptive spline neural networks. IEEE Trans. Neural Networks Aurelio Uncini, Francesco Piazza
2003	—	`conf`	Dereverberation of Acoustic Signals by Independent Component Analysis. WIRN Claudio Sistopaoli, Raffaele Parisi, Aurelio Uncini
2003	—	`conf`	Generalized Splitting 2D Flexible Activation Function. WIRN Francesca Vitagliano, Raffaele Parisi, Aurelio Uncini
2003	J	`jnl`	Special issue on evolving solution with neural networks. Neurocomputing Alessandra Fanni, Aurelio Uncini
2002	—	`conf`	A multirate approach to multichannel blind deconvolution. ISCAS (1) Andrea Celani, Stefano Bartoloni, Aurelio Uncini, Francesco Piazza
2002	—	`conf`	Acoustic echo cancellation in the presence of distorting loudspeakers. EUSIPCO Aurelio Uncini, Andrea Nalin, Raffaele Parisi
2002	Misc	`conf`	Blind source separation of convolutive nonlinear mixtures by flexible spline nonlinear functions. ICASSP Fabio Milani, Mirko Solazzi, Aurelio Uncini
2002	—	`conf`	Sound Synthesis by Flexible Activation Function Recurrent Neural Networks. WIRN Aurelio Uncini
2002	—	`conf`	Spline Recurrent Neural Networks for Quad-Tree Video Coding. WIRN Lorenzo Topi, Raffaele Parisi, Aurelio Uncini
2002	J	`jnl`	Subband neural networks prediction for on-line audio signal recovery. IEEE Trans. Neural Networks Gianandrea Cocchi, Aurelio Uncini
2001	J	`jnl`	Complex discriminative learning Bayesian neural equalizer. Signal Process. Mirko Solazzi, Aurelio Uncini, Elio D. Di Claudio, Raffaele Parisi
2001	—	`conf`	Complex domain flexible non-linear function for blind signal separation. ISCAS (3) Simone Barbabella, Francesco Piazza, Aurelio Uncini
2001	Misc	`conf`	Nonlinear blind source separation by spline neural networks. ICASSP Mirko Solazzi, Francesco Piazza, Aurelio Uncini
2001	Misc	`conf`	Subbands audio signal recovering using neural nonlinear prediction. ICASSP Gianandrea Cocchi, Aurelio Uncini
2000	J	`jnl`	A Signal-Flow-Graph Approach to On-line Gradient Calculation. Neural Comput. Paolo Campolucci, Aurelio Uncini, Francesco Piazza
2000	—	`conf`	Artificial Neural Networks with Adaptive Multidimensional Spline Activation Functions. IJCNN (3) Mirko Solazzi, Aurelio Uncini
2000	—	`conf`	Low Complexity Adaptive Non-Linear Function for Blind Signal Separation. IJCNN (3) Andrea Pierani, Francesco Piazza, Mirko Solazzi, Aurelio Uncini
2000	Misc	`conf`	Neural equalizer with adaptive multidimensional spline activation functions. ICASSP Mirko Solazzi, Aurelio Uncini, Francesco Piazza
1999	—	`conf`	Blind deconvolution by modified Bussgang algorithm. ISCAS (3) Simone G. O. Fiori, Aurelio Uncini, Francesco Piazza
1999	—	`conf`	Complex discriminative learning Bayesian neural equalizer. ISCAS (5) Mirko Solazzi, Aurelio Uncini, Elio D. Di Claudio, Raffaele Parisi
1999	J	`jnl`	Complex-valued neural networks with adaptive spline activation function for digital-radio-links nonlinear equalization. IEEE Trans. Signal Process. Aurelio Uncini, Lorenzo Vecci, Paolo Campolucci, Francesco Piazza
1999	—	`conf`	Efficient allocation of power of two terms in FIR digital filter design using tabu search. ISCAS (3) Stefano Traferro, F. Capparelli, Francesco Piazza, Aurelio Uncini
1999	Misc	`conf`	Frequency recovery of narrow-band speech using adaptive spline neural networks. ICASSP Aurelio Uncini, Frencesco Gobbi, Francesco Piazza
1999	J	`jnl`	Multilayer feedforward networks with adaptive spline activation function. IEEE Trans. Neural Networks S. Guarnieri, Francesco Piazza, Aurelio Uncini
1999	—	`conf`	Neural blind separation of complex sources by extended APEX algorithm (EAPEX). ISCAS (5) Simone G. O. Fiori, Aurelio Uncini, Francesco Piazza
1999	J	`jnl`	On-line learning algorithms for locally recurrent neural networks. IEEE Trans. Neural Networks Paolo Campolucci, Aurelio Uncini, Francesco Piazza, Bhaskar D. Rao
1999	—	`conf`	Power-of-two adaptive filters using tabu search. ISCAS (3) Stefano Traferro, Aurelio Uncini
1998	—	`conf`	A class of fast complex domain neural networks for signal processing applications. EUSIPCO Aurelio Uncini, Francesco Piazza
1998	—	`conf`	A unified approach to laterally-connected neural NETS. EUSIPCO Simone G. O. Fiori, Aurelio Uncini
1998	J	`jnl`	Learning and Approximation Capabilities of Adaptive Spline Activation Function Neural Networks. Neural Networks Lorenzo Vecci, Francesco Piazza, Aurelio Uncini
1998	—	`conf`	Recurrent neural networks for signal processing trained by a new second order algorithm. EUSIPCO Paolo Campolucci, Michele Simonetti, Aurelio Uncini
1997	Misc	`conf`	A new IIR-MLP learning algorithm for on-line signal processing. ICASSP Paolo Campolucci, Simone G. O. Fiori, Aurelio Uncini, Francesco Piazza
1997	Misc	`conf`	A new unsupervised neural learning rule for orthonormal signal processing. ICASSP Simone G. O. Fiori, Paolo Campolucci, Aurelio Uncini, Francesco Piazza
1997	C	`conf`	Application of the MEC Network to Principal Component Analysis and Source Separation. ICANN Simone G. O. Fiori, Aurelio Uncini, Francesco Piazza
1997	—	`conf`	Approximation capabilities of adaptive spline neural networks. ICNN Lorenzo Vecci, Paolo Campolucci, Francesco Piazza, Aurelio Uncini
1997	—	`conf`	Signal-flow-graph derivation of on-line gradient learning algorithms. ICNN Paolo Campolucci, Andrea Marchegrani, Aurelio Uncini, Francesco Piazza
1996	Misc	`conf`	Fast adaptive IIR-MLP neural networks for signal processing applications. ICASSP Paolo Campolucci, Aurelio Uncini, Francesco Piazza
1996	Misc	`conf`	Improved power-of-two sharpening filter design by genetic algorithm. ICASSP Paolo Gentili, Francesco Piazza, Aurelio Uncini
1996	—	`conf`	Split-band LD-CELP wideband speech coding at 24 kbit/s. EUSIPCO Andrea Santilli, Aurelio Uncini, Francesco Piazza
1995	Misc	`conf`	Efficient genetic algorithm design for power-of-two FIR filters. ICASSP Paolo Gentili, Francesco Piazza, Aurelio Uncini
1995	—	`conf`	On-line learning algorithms for neural networks with IIR synapses. ICNN Paolo Campolucci, Francesco Piazza, Aurelio Uncini
1994	C	`conf`	Efficient DOA Estimation by a Specific SVD Algorithm. ISCAS A. Massetani, Francesco Piazza, Aurelio Uncini
1994	—	`conf`	Evolutionary Design of Fir Digital Filters with Power-of-Two Coefficients. International Conference on Evolutionary Computation Paolo Gentili, Francesco Piazza, Aurelio Uncini
1993	J	`jnl`	Fast neural networks without multipliers. IEEE Trans. Neural Networks Michele Marchesi, Gianni Orlandi, Francesco Piazza, Aurelio Uncini
1992	J	`jnl`	Applications of simulated annealing for the design of special digital filters. IEEE Trans. Signal Process. Nevio Benvenuto, Michele Marchesi, Aurelio Uncini
1991	Misc	`conf`	Non linear satellite radio links equalized using blind neural networks. ICASSP Nevio Benvenuto, Michele Marchesi, Francesco Piazza, Aurelio Uncini
1991	Misc	`conf`	Optimal weighted LS AR estimation in presence of impulsive noise. ICASSP Elio D. Di Claudio, Gianni Orlandi, Francesco Piazza, Aurelio Uncini
1990	B	`conf`	Improved evoked potential estimation using neural network. IJCNN Aurelio Uncini, Michele Marchesi, Gianni Orlandi, Francesco Piazza
1990	B	`conf`	Multi-layer perceptrons with discrete weights. IJCNN Michele Marchesi, Gianni Orlandi, Francesco Piazza, L. Pollonara, Aurelio Uncini
1990	Misc	`conf`	Results on the application of simulated annealing algorithm for the design of digital filters with powers-of-two coefficients. ICASSP Nevio Benvenuto, Michele Marchesi, Aurelio Uncini
1989	Misc	`conf`	Finite wordlength digital filter design using an annealing algorithm. ICASSP Nevio Benvenuto, Michele Marchesi, Gianni Orlandi, Francesco Piazza, Aurelio Uncini