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2020 – today
- 2024
[j40]Alireza Momenzadeh, Enzo Baccarelli, Michele Scarpiniti, Sima Sarv Ahrabi
:
Multi-resolution Twinned Residual Auto-Encoders (MR-TRAE) - A Novel DL Model for Image Multi-resolution. Cogn. Comput. 16(4): 1447-1469 (2024)- [j39]Enzo Baccarelli, Michele Scarpiniti, Alireza Momenzadeh:
Energy-minimizing 3D circular trajectory optimization of rotary-wing UAV under probabilistic path-loss in constrained hotspot environments. Veh. Commun. 46: 100730 (2024) - [c47]Alireza Nezamdoust, Michele Scarpiniti, Aurelio Uncini, Danilo Comminiello:
Spline Adaptive Exponential Functional Link Filter for Nonlinear Acoustic Echo Cancellation. EUSIPCO 2024: 216-220 - 2023
- [j38]Enzo Baccarelli, Michele Scarpiniti, Alireza Momenzadeh:
Twinned Residual Auto-Encoder (TRAE) - A new DL architecture for denoising super-resolution and task-aware feature learning from COVID-19 CT images. Expert Syst. Appl. 225: 120104 (2023) - [j37]Sima Sarv Ahrabi, Alireza Momenzadeh, Enzo Baccarelli, Michele Scarpiniti, Lorenzo Piazzo:
How much BiGAN and CycleGAN-learned hidden features are effective for COVID-19 detection from CT images? A comparative study. J. Supercomput. 79(3): 2850-2881 (2023) - [j36]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) - [c46]Gianfranco Di Marco, Danilo Comminiello, Michele Scarpiniti, Aurelio Uncini:
Quaternion Gated Recurrent Units for Renewable Energy: Improving Power Forecasting. ICECS 2023: 1-4 - [c45]Michele Scarpiniti, Edoardo Sigismondi, Danilo Comminiello, Aurelio Uncini:
A U-Net Based Architecture for Automatic Music Transcription. MLSP 2023: 1-6 - [e1]Danilo Comminiello, Michele Scarpiniti:
33rd IEEE International Workshop on Machine Learning for Signal Processing, MLSP 2023, Rome, Italy, September 17-20, 2023. IEEE 2023, ISBN 979-8-3503-2411-2 [contents] - 2022
- [j35]Enzo Baccarelli, Michele Scarpiniti, Alireza Momenzadeh, Sima Sarv Ahrabi:
AFAFed - Asynchronous Fair Adaptive Federated learning for IoT stream applications. Comput. Commun. 195: 376-402 (2022) - [j34]Michele Scarpiniti, Sima Sarv Ahrabi, Enzo Baccarelli, Lorenzo Piazzo, Alireza Momenzadeh:
A novel unsupervised approach based on the hidden features of Deep Denoising Autoencoders for COVID-19 disease detection. Expert Syst. Appl. 192: 116366 (2022) - [j33]Sima Sarv Ahrabi, Lorenzo Piazzo, Alireza Momenzadeh, Michele Scarpiniti, Enzo Baccarelli:
Exploiting probability density function of deep convolutional autoencoders' latent space for reliable COVID-19 detection on CT scans. J. Supercomput. 78(9): 12024-12045 (2022) - [c44]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 - [i10]Enzo Baccarelli, Michele Scarpiniti, Alireza Momenzadeh, Sima Sarv Ahrabi:
AFAFed - Protocol analysis. CoRR abs/2206.14927 (2022) - 2021
- [j32]Enzo Baccarelli, Michele Scarpiniti, Alireza Momenzadeh, Sima Sarv Ahrabi:
Learning-in-the-Fog (LiFo): Deep Learning Meets Fog Computing for the Minimum-Energy Distributed Early-Exit of Inference in Delay-Critical IoT Realms. IEEE Access 9: 25716-25757 (2021) - [j31]Sima Sarv Ahrabi, Michele Scarpiniti, Enzo Baccarelli, Alireza Momenzadeh:
An Accuracy vs. Complexity Comparison of Deep Learning Architectures for the Detection of COVID-19 Disease. Comput. 9(1): 3 (2021) - [j30]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) - [i9]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) - [i8]Lorenzo Piazzo, Michele Scarpiniti, Enzo Baccarelli:
Gomoku: analysis of the game and of the player Wine. CoRR abs/2111.01016 (2021) - 2020
- [j29]Simone Scardapane, Michele Scarpiniti, Enzo Baccarelli, Aurelio Uncini:
Why Should We Add Early Exits to Neural Networks? Cogn. Comput. 12(5): 954-966 (2020) - [j28]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) - [j27]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) - [c43]Michele Scarpiniti, Danilo Comminiello, Aurelio Uncini, Yong-Cheol Lee:
Deep Recurrent Neural Networks for Audio Classification in Construction Sites. EUSIPCO 2020: 810-814 - [c42]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 - [c41]Simone Scardapane, Danilo Comminiello, Michele Scarpiniti, Enzo Baccarelli, Aurelio Uncini:
Differentiable Branching In Deep Networks for Fast Inference. ICASSP 2020: 4167-4171 - [p12]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 - [p11]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 - [p10]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 - [p9]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 - [p8]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 - [i7]Simone Scardapane, Michele Scarpiniti, Enzo Baccarelli, Aurelio Uncini:
Why should we add early exits to neural networks? CoRR abs/2004.12814 (2020)
2010 – 2019
- 2019
- [j26]Enzo Baccarelli, Michele Scarpiniti, Alireza Momenzadeh:
EcoMobiFog-Design and Dynamic Optimization of a 5G Mobile-Fog-Cloud Multi-Tier Ecosystem for the Real-Time Distributed Execution of Stream Applications. IEEE Access 7: 55565-55608 (2019) - [j25]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) - [c40]Michele Scarpiniti, Danilo Comminiello, Aurelio Uncini:
Convex Combination of Spline Adaptive Filters. EUSIPCO 2019: 1-5 - [c39]Danilo Comminiello, Michele Scarpiniti, Raffaele Parisi, Aurelio Uncini:
Frequency-domain Adaptive Filtering: from Real to Hypercomplex Signal Processing. ICASSP 2019: 7745-7749 - [c38]Antonio Falvo, Danilo Comminiello, Simone Scardapane, Michele Scarpiniti, Aurelio Uncini:
A Multimodal Dense U-Net For Accelerating Multiple Sclerosis MRI. MLSP 2019: 1-6 - [i6]Enzo Baccarelli, Michele Scarpiniti, Alireza Momenzadeh:
EcoMobiFog - Design and Dynamic Optimization of a 5G Mobile-Fog-Cloud Multi-Tier Ecosystem for the Real-Time Distributed Execution of Stream Applications. CoRR abs/1906.07578 (2019) - [i5]Indro Spinelli, Simone Scardapane, Michele Scarpiniti, Aurelio Uncini:
Efficient data augmentation using graph imputation neural networks. CoRR abs/1906.08502 (2019) - [i4]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) - 2018
- [j24]Enzo Baccarelli, Michele Scarpiniti, Alireza Momenzadeh:
Fog-Supported Delay-Constrained Energy-Saving Live Migration of VMs Over MultiPath TCP/IP 5G Connections. IEEE Access 6: 42327-42354 (2018) - [j23]Enzo Baccarelli, Michele Scarpiniti, Paola Gabriela Vinueza Naranjo, Leticia Vaca Cárdenas:
Fog of Social IoT: When the Fog Becomes Social. IEEE Netw. 32(4): 68-80 (2018) - [j22]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) - [j21]Paola Gabriela Vinueza Naranjo, Enzo Baccarelli, Michele Scarpiniti:
Design and energy-efficient resource management of virtualized networked Fog architectures for the real-time support of IoT applications. J. Supercomput. 74(6): 2470-2507 (2018) - [c37]Danilo Comminiello, Michele Scarpiniti, Simone Scardapane, Luis Antonio Azpicueta-Ruiz, Aurelio Uncini:
Combined Sparse Regularization for Nonlinear Adaptive Filters. EUSIPCO 2018: 336-340 - [c36]Danilo Comminiello, Michele Scarpiniti, Simone Scardapane, Aurelio Uncini:
Sparse functional link adaptive filter using an ℓ1-norm regularization. ISCAS 2018: 1-5 - [p7]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 - [i3]Enzo Baccarelli, Michele Scarpiniti, Alireza Momenzadeh:
Fog-supported delay-constrained energy-saving live migration of VMs over MultiPath TCP/IP 5G connections. CoRR abs/1805.12509 (2018) - 2017
- [j20]Enzo Baccarelli, Paola Gabriela Vinueza Naranjo, Michele Scarpiniti, Mohammad Shojafar, Jemal H. Abawajy:
Fog of Everything: Energy-Efficient Networked Computing Architectures, Research Challenges, and a Case Study. IEEE Access 5: 9882-9910 (2017) - [j19]Enzo Baccarelli, Paola Gabriela Vinueza Naranjo, Mohammad Shojafar, Michele Scarpiniti:
Q*: Energy and delay-efficient dynamic queue management in TCP/IP virtualized data centers. Comput. Commun. 102: 89-106 (2017) - [j18]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) - [j17]Francesca Ortolani, Danilo Comminiello, Michele Scarpiniti, Aurelio Uncini:
Frequency domain quaternion adaptive filters: Algorithms and convergence performance. Signal Process. 136: 69-80 (2017) - [c35]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 - [c34]Indro Spinelli, Simone Scardapane, Michele Scarpiniti, Aurelio Uncini:
Efficient Data Augmentation Using Graph Imputation Neural Networks. IIH-MSP (1) 2017: 57-66 - [c33]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 - [c32]Michele Scarpiniti, Danilo Comminiello, Federico Muciaccia, Aurelio Uncini:
Quaternion Widely Linear Forecasting of Air Quality. IIH-MSP (1) 2017: 393-403 - [c31]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 - 2016
- [j16]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) - [j15]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) - [c30]Simone Scardapane, Michele Scarpiniti, Danilo Comminiello, Aurelio Uncini:
Diffusion spline adaptive filtering. EUSIPCO 2016: 1498-1502 - [c29]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 - [c28]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 - [p6]Francesca Ortolani, Danilo Comminiello, Michele Scarpiniti, Aurelio Uncini:
Frequency-Domain Adaptive Filtering in Hypercomplex Systems. Advances in Neural Networks 2016: 47-56 - [p5]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 - [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 - [i2]Simone Scardapane, Michele Scarpiniti, Danilo Comminiello, Aurelio Uncini:
Learning activation functions from data using cubic spline interpolation. CoRR abs/1605.05509 (2016) - [i1]Michele Scarpiniti, Simone Scardapane, Danilo Comminiello, Raffaele Parisi, Aurelio Uncini:
Effective Blind Source Separation Based on the Adam Algorithm. CoRR abs/1605.07833 (2016) - 2015
- [j14]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) - [j13]Michele Scarpiniti, Danilo Comminiello, Raffaele Parisi, Aurelio Uncini:
Nonlinear system identification using IIR Spline Adaptive Filters. Signal Process. 108: 30-35 (2015) - [j12]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) - [j11]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) - [j10]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) - [c27]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 - [c26]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 - [c25]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 - [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
- [j9]Michele Scarpiniti, Danilo Comminiello, Raffaele Parisi, Aurelio Uncini:
Hammerstein uniform cubic spline adaptive filters: Learning and convergence properties. Signal Process. 100: 112-123 (2014) - [j8]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) - [c24]Simone Scardapane, Danilo Comminiello, Michele Scarpiniti, Aurelio Uncini:
GP-based kernel evolution for L2-Regularization Networks. IEEE Congress on Evolutionary Computation 2014: 1674-1681 - [c23]Michele Scarpiniti, Fabio Garzia:
Security monitoring based on joint automatic speaker recognition and blind source separation. ICCST 2014: 1-6 - [c22]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 - [c21]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
- [j7]Michele Scarpiniti, Danilo Comminiello, Raffaele Parisi, Aurelio Uncini:
Nonlinear spline adaptive filtering. Signal Process. 93(4): 772-783 (2013) - [j6]Danilo Comminiello, Michele Scarpiniti, Raffaele Parisi, Aurelio Uncini:
Combined adaptive beamforming schemes for nonstationary interfering noise reduction. Signal Process. 93(12): 3306-3318 (2013) - [j5]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) - [c20]Raffaele Parisi, Riccardo Russo, Michele Scarpiniti, Aurelio Uncini:
Localization of audio sources by multiple binaural sensors. DSP 2013: 1-5 - [c19]Simone Scardapane, Danilo Comminiello, Michele Scarpiniti, Aurelio Uncini:
Music classification using extreme learning machines. ISPA 2013: 377-381 - [c18]Danilo Comminiello, Simone Scardapane, Michele Scarpiniti, Raffaele Parisi, Aurelio Uncini:
Convex combination of MIMO filters for multichannel acoustic echo cancellation. ISPA 2013: 778-782 - [c17]Danilo Comminiello, Simone Scardapane, Michele Scarpiniti, Aurelio Uncini:
Interactive quality enhancement in acoustic echo cancellation. TSP 2013: 488-492 - [c16]Danilo Comminiello, Michele Scarpiniti, Raffaele Parisi, Aurelio Uncini:
Combined adaptive beamforming techniques for noise reduction in changing environments. TSP 2013: 690-694 - [c15]Simone Scardapane, Danilo Comminiello, Michele Scarpiniti, Aurelio Uncini:
A Preliminary Study on Transductive Extreme Learning Machines. WIRN 2013: 25-32 - [c14]Michele Scarpiniti, Danilo Comminiello, Simone Scardapane, Raffaele Parisi, Aurelio Uncini:
Proportionate Algorithms for Blind Source Separation. WIRN 2013: 99-106 - 2012
- [j4]Alfredo Maesa, Fabio Garzia, Michele Scarpiniti, Roberto Cusani:
Text Independent Automatic Speaker Recognition System Using Mel-Frequency Cepstrum Coefficient and Gaussian Mixture Models. J. Information Security 3(4): 335-340 (2012) - [j3]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) - [c13]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 - [c12]Michele Scarpiniti, Danilo Comminiello, Raffaele Parisi, Aurelio Uncini:
A Collaborative Filter Approach to Adaptive Noise Cancellation. WIRN 2012: 101-109 - 2011
- [c11]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 - [c10]Michele Scarpiniti, Danilo Comminiello, Raffaele Parisi, Aurelio Uncini:
A Collaborative Approach to Time-Series Prediction. WIRN 2011: 178-185 - 2010
- [c9]Albenzio Cirillo, Raffaele Parisi, Michele Scarpiniti, Aurelio Uncini:
Simplified optimal line selection for acoustic localization in the presence of reverberation. EUSIPCO 2010: 1963-1967 - [c8]Danilo Comminiello, Michele Scarpiniti, Raffaele Parisi, Aurelio Uncini:
A novel affine projection algorithm for superdirective microphone array beamforming. ISCAS 2010: 2127-2130 - [c7]Michele Scarpiniti, Francesco Di Palma, Raffaele Parisi, Aurelio Uncini:
A Geometrically Constrained ICA Algorithm for Blind Separation in Convolutive Environments. WIRN 2010: 79-88 - [c6]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
- [c5]Gabriele Bunkheila, Michele Scarpiniti, Raffaele Parisi, Aurelio Uncini:
Stereo acoustical echo cancellation based on common poles. DPS 2009: 1-6 - [c4]Michele Scarpiniti, Andrea Picaro, Raffaele Parisi, Aurelio Uncini:
A Partitioned Frequency Block Algorithm for Blind Separation in Reverberant Environments. WIRN 2009: 81-90 - 2008
- [j2]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) - [j1]Michele Scarpiniti, Daniele Vigliano, Raffaele Parisi, Aurelio Uncini:
Generalized splitting functions for blind separation of complex signals. Neurocomputing 71(10-12): 2245-2270 (2008) - [c3]Michele Scarpiniti, Daniele Vigliano, Raffaele Parisi, Aurelio Uncini:
A Flexible Natural Gradient Approach to Blind Separation of Complex Signals. WIRN 2008: 89-98 - 2007
- [c2]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
- [c1]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
Coauthor Index
[c47] [j36] [c46] [c45] [e1] [c44] [i9] [c43] [c42] [c41] [p12] [p11] [p10] [p9] [p8] [j25] [c40] [c39] [c38] [i4] [c37] [c36] [p7] [j18] [j17] [c35] [c32] [c31] [j16] [j15] [c30] [c29] [c28] [p6] [p5] [p4] [i2] [i1] [j14] [j13] [j12] [j11] [j10] [c27] [c26] [c25] [p3] [p2] [p1] [j9] [j8] [c24] [c22] [c21] [j7] [j6] [j5] [c19] [c18] [c17] [c16] [c15] [c14] [c13] [c12] [c11] [c10] [c8]
[c47] [j36] [c46] [c45] [c44] [j30] [i9] [j29] [j28] [j27] [c43] [c42] [c41] [p12] [p11] [p10] [p9] [p8] [i7] [j25] [c40] [c39] [c38] [i5] [i4] [j22] [c37] [c36] [p7] [j18] [j17] [c35] [c34] [c33] [c32] [c31] [j16] [j15] [c30] [c29] [c28] [p6] [p5] [p4] [i2] [i1] [j14] [j13] [j12] [j11] [j10] [c27] [c26] [c25] [p3] [p2] [p1] [j9] [j8] [c24] [c22] [c21] [j7] [j6] [j5] [c20] [c19] [c18] [c17] [c16] [c15] [c14] [j3] [c13] [c12] [c11] [c10] [c9] [c8] [c7] [c6] [c5] [c4] [j2] [j1] [c3] [c2] [c1]
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Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2025-01-21 00:12 CET by the dblp team
all metadata released as open data under CC0 1.0 license
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dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
