Michele Scarpiniti

Orcid: 0000-0002-3164-6256

According to our database1, Michele Scarpiniti authored at least 101 papers between 2006 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2023
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., September, 2023

A New Class of Efficient Adaptive Filters for Online Nonlinear Modeling.
IEEE Trans. Syst. Man Cybern. Syst., March, 2023

How much BiGAN and CycleGAN-learned hidden features are effective for COVID-19 detection from CT images? A comparative study.
J. Supercomput., 2023

A U-Net Based Architecture for Automatic Music Transcription.
Proceedings of the 33rd IEEE International Workshop on Machine Learning for Signal Processing, 2023

Quaternion Gated Recurrent Units for Renewable Energy: Improving Power Forecasting.
Proceedings of the 30th IEEE International Conference on Electronics, Circuits and Systems, 2023

2022
Exploiting probability density function of deep convolutional autoencoders' latent space for reliable COVID-19 detection on CT scans.
J. Supercomput., 2022

A novel unsupervised approach based on the hidden features of Deep Denoising Autoencoders for COVID-19 disease detection.
Expert Syst. Appl., 2022

AFAFed - Protocol analysis.
CoRR, 2022

<i>AFAFed</i> - <i>A</i>synchronous <i>F</i>air <i>A</i>daptive <i>Fed</i>erated learning for IoT stream applications.
Comput. Commun., 2022

CoVal-SGAN: A Complex-Valued Spectral GAN architecture for the effective audio data augmentation in construction sites.
Proceedings of the International Joint Conference on Neural Networks, 2022

2021
Deep Belief Network based audio classification for construction sites monitoring.
Expert Syst. Appl., 2021

Gomoku: analysis of the game and of the player Wine.
CoRR, 2021

An Accuracy vs. Complexity Comparison of Deep Learning Architectures for the Detection of COVID-19 Disease.
Comput., 2021

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, 2021

2020
Music Genre Classification Using Stacked Auto-Encoders.
Proceedings of the Neural Approaches to Dynamics of Signal Exchanges, 2020

Separation of Drum and Bass from Monaural Tracks.
Proceedings of the Neural Advances in Processing Nonlinear Dynamic Signals, 2020

Learning Activation Functions from Data Using Cubic Spline Interpolation.
Proceedings of the Neural Advances in Processing Nonlinear Dynamic Signals, 2020

On 4-Dimensional Hypercomplex Algebras in Adaptive Signal Processing.
Proceedings of the Neural Advances in Processing Nonlinear Dynamic Signals, 2020

A Low-Complexity Linear-in-the-Parameters Nonlinear Filter for Distorted Speech Signals.
Proceedings of the Neural Advances in Processing Nonlinear Dynamic Signals, 2020

Advanced Sound Classifiers and Performance Analyses for Accurate Audio-Based Construction Project Monitoring.
J. Comput. Civ. Eng., 2020

Optimized training and scalable implementation of Conditional Deep Neural Networks with early exits for Fog-supported IoT applications.
Inf. Sci., 2020

Why Should We Add Early Exits to Neural Networks?
Cogn. Comput., 2020

Differentiable Branching In Deep Networks for Fast Inference.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Deep Recurrent Neural Networks for Audio Classification in Construction Sites.
Proceedings of the 28th European Signal Processing Conference, 2020

A Wide Multimodal Dense U-Net for Fast Magnetic Resonance Imaging.
Proceedings of the 28th European Signal Processing Conference, 2020

2019
A Multimodal Deep Network for the Reconstruction of T2W MR Images.
CoRR, 2019

Steady-State Performance of an Adaptive Combined MISO Filter Using the Multichannel Affine Projection Algorithm.
Algorithms, 2019

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, 2019

A Multimodal Dense U-Net For Accelerating Multiple Sclerosis MRI.
Proceedings of the 29th IEEE International Workshop on Machine Learning for Signal Processing, 2019

Frequency-domain Adaptive Filtering: from Real to Hypercomplex Signal Processing.
Proceedings of the IEEE International Conference on Acoustics, 2019

Convex Combination of Spline Adaptive Filters.
Proceedings of the 27th European Signal Processing Conference, 2019

2018
Effective Blind Source Separation Based on the Adam Algorithm.
Proceedings of the Multidisciplinary Approaches to Neural Computing, 2018

Energy performance of heuristics and meta-heuristics for real-time joint resource scaling and consolidation in virtualized networked data centers.
J. Supercomput., 2018

Design and energy-efficient resource management of virtualized networked Fog architectures for the real-time support of IoT applications.
J. Supercomput., 2018

Fog of Social IoT: When the Fog Becomes Social.
IEEE Netw., 2018

Fog-Supported Delay-Constrained Energy-Saving Live Migration of VMs Over MultiPath TCP/IP 5G Connections.
IEEE Access, 2018

Sparse functional link adaptive filter using an ℓ<sub>1</sub>-norm regularization.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2018

Combined Sparse Regularization for Nonlinear Adaptive Filters.
Proceedings of the 26th European Signal Processing Conference, 2018

2017
Frequency domain quaternion adaptive filters: Algorithms and convergence performance.
Signal Process., 2017

Combined nonlinear filtering architectures involving sparse functional link adaptive filters.
Signal Process., 2017

Q*: Energy and delay-efficient dynamic queue management in TCP/IP virtualized data centers.
Comput. Commun., 2017

Fog of Everything: Energy-Efficient Networked Computing Architectures, Research Challenges, and a Case Study.
IEEE Access, 2017

Efficient Data Augmentation Using Graph Imputation Neural Networks.
Proceedings of the Advances in Intelligent Information Hiding and Multimedia Signal Processing, 2017

Quaternion Widely Linear Forecasting of Air Quality.
Proceedings of the Advances in Intelligent Information Hiding and Multimedia Signal Processing, 2017

A CNN Approach for Audio Classification in Construction Sites.
Proceedings of the Advances in Intelligent Information Hiding and Multimedia Signal Processing, 2017

A Multimodal Deep Network for the Reconstruction of T2W MR Images.
Proceedings of the Advances in Intelligent Information Hiding and Multimedia Signal Processing, 2017

Full proportionate functional link adaptive filters for nonlinear acoustic echo cancellation.
Proceedings of the 25th European Signal Processing Conference, 2017

2016
Benchmarking Functional Link Expansions for Audio Classification Tasks.
Proceedings of the Advances in Neural Networks - Computational Intelligence for ICT, 2016

Frequency-Domain Adaptive Filtering in Hypercomplex Systems.
Proceedings of the Advances in Neural Networks - Computational Intelligence for ICT, 2016

A Nonlinear Acoustic Echo Canceller with Improved Tracking Capabilities.
Proceedings of the Recent Advances in Nonlinear Speech Processing, 2016

Steady-State Performance of Spline Adaptive Filters.
IEEE Trans. Signal Process., 2016

A semi-supervised random vector functional-link network based on the transductive framework.
Inf. Sci., 2016

Effective Blind Source Separation Based on the Adam Algorithm.
CoRR, 2016

Learning activation functions from data using cubic spline interpolation.
CoRR, 2016

A block-based combined scheme exploiting sparsity in nonlinear acoustic echo cancellation.
Proceedings of the 26th IEEE International Workshop on Machine Learning for Signal Processing, 2016

Design of hybrid nonlinear spline adaptive filters for active noise control.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

Diffusion spline adaptive filtering.
Proceedings of the 24th European Signal Processing Conference, 2016

2015
Significance-Based Pruning for Reservoir's Neurons in Echo State Networks.
Proceedings of the Advances in Neural Networks: Computational and Theoretical Issues, 2015

Integration of Audio and Video Clues for Source Localization by a Robotic Head.
Proceedings of the Advances in Neural Networks: Computational and Theoretical Issues, 2015

Online Selection of Functional Links for Nonlinear System Identification.
Proceedings of the Advances in Neural Networks: Computational and Theoretical Issues, 2015

Online Sequential Extreme Learning Machine With Kernels.
IEEE Trans. Neural Networks Learn. Syst., 2015

Intelligent Acoustic Interfaces With Multisensor Acquisition for Immersive Reproduction.
IEEE Trans. Multim., 2015

Novel Cascade Spline Architectures for the Identification of Nonlinear Systems.
IEEE Trans. Circuits Syst. I Regul. Pap., 2015

Nonlinear system identification using IIR Spline Adaptive Filters.
Signal Process., 2015

Improving nonlinear modeling capabilities of functional link adaptive filters.
Neural Networks, 2015

An interactive optimization procedure for stereophonic acoustic echo cancellation systems.
Proceedings of the 2015 International Joint Conference on Neural Networks, 2015

Functional link expansions for nonlinear modeling of audio and speech signals.
Proceedings of the 2015 International Joint Conference on Neural Networks, 2015

A nonlinear architecture involving a combination of proportionate functional link adaptive filters.
Proceedings of the 23rd European Signal Processing Conference, 2015

2014
Nonlinear Acoustic Echo Cancellation Based on Sparse Functional Link Representations.
IEEE ACM Trans. Audio Speech Lang. Process., 2014

Hammerstein uniform cubic spline adaptive filters: Learning and convergence properties.
Signal Process., 2014

An effective criterion for pruning reservoir's connections in Echo State Networks.
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

Advanced intelligent acoustic interfaces for multichannel audio reproduction.
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

Security monitoring based on joint automatic speaker recognition and blind source separation.
Proceedings of the International Carnahan Conference on Security Technology, 2014

GP-based kernel evolution for L2-Regularization Networks.
Proceedings of the IEEE Congress on Evolutionary Computation, 2014

2013
Functional Link Adaptive Filters for Nonlinear Acoustic Echo Cancellation.
IEEE Trans. Speech Audio Process., 2013

Nonlinear spline adaptive filtering.
Signal Process., 2013

Combined adaptive beamforming schemes for nonstationary interfering noise reduction.
Signal Process., 2013

Proportionate Algorithms for Blind Source Separation.
Proceedings of the Recent Advances of Neural Network Models and Applications, 2013

A Preliminary Study on Transductive Extreme Learning Machines.
Proceedings of the Recent Advances of Neural Network Models and Applications, 2013

Interactive quality enhancement in acoustic echo cancellation.
Proceedings of the 36th International Conference on Telecommunications and Signal Processing, 2013

Combined adaptive beamforming techniques for noise reduction in changing environments.
Proceedings of the 36th International Conference on Telecommunications and Signal Processing, 2013

Music classification using extreme learning machines.
Proceedings of the 8th International Symposium on Image and Signal Processing and Analysis, 2013

Convex combination of MIMO filters for multichannel acoustic echo cancellation.
Proceedings of the 8th International Symposium on Image and Signal Processing and Analysis, 2013

Localization of audio sources by multiple binaural sensors.
Proceedings of the 18th International Conference on Digital Signal Processing, 2013

2012
Cepstrum Prefiltering for Binaural Source Localization in Reverberant Environments.
IEEE Signal Process. Lett., 2012

Text Independent Automatic Speaker Recognition System Using Mel-Frequency Cepstrum Coefficient and Gaussian Mixture Models.
J. Information Security, 2012

A Collaborative Filter Approach to Adaptive Noise Cancellation.
Proceedings of the Neural Nets and Surroundings - 22nd Italian Workshop on Neural Nets, 2012

PM 10 Forecasting Using Kernel Adaptive Filtering: An Italian Case Study.
Proceedings of the Neural Nets and Surroundings - 22nd Italian Workshop on Neural Nets, 2012

2011
A Collaborative Approach to Time-Series Prediction.
Proceedings of the Neural Nets WIRN11, 2011

Comparison of Hammerstein and Wiener systems for nonlinear acoustic echo cancelers in reverberant environments.
Proceedings of the 17th International Conference on Digital Signal Processing, 2011

2010
A Geometrically Constrained ICA Algorithm for Blind Separation in Convolutive Environments.
Proceedings of the Neural Nets WIRN10, 2010

A Pre-Filtering and Post-Filtering Approach to Blind Source Separation.
Proceedings of the Neural Nets WIRN10, 2010

A novel affine projection algorithm for superdirective microphone array beamforming.
Proceedings of the International Symposium on Circuits and Systems (ISCAS 2010), May 30, 2010

Simplified optimal line selection for acoustic localization in the presence of reverberation.
Proceedings of the 18th European Signal Processing Conference, 2010

2009
A Partitioned Frequency Block Algorithm for Blind Separation in Reverberant Environments.
Proceedings of the Neural Nets WIRN09, 2009

Stereo acoustical echo cancellation based on common poles.
Proceedings of the 16th International Conference on Digital Signal Processing, 2009

2008
Generalized splitting functions for blind separation of complex signals.
Neurocomputing, 2008

Flexible Nonlinear Blind Signal Separation in the Complex Domain.
Int. J. Neural Syst., 2008

A Flexible Natural Gradient Approach to Blind Separation of Complex Signals.
Proceedings of the New Directions in Neural Networks, 2008

2007
Generalized Flexible Splitting Function Outperforms Classical Approaches in Blind Signal Separation of Complex Environment.
Proceedings of the 15th International Conference on Digital Signal Processing, 2007

2006
Flexible ICA approach to the nonlinear blind signal separation in the complex domain.
Proceedings of the 14th European Signal Processing Conference, 2006


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