M. Scarpiniti

发表

Functional link based architectures for nonlinear acoustic echo cancellation

J. Arenas-García, D. Comminiello, L. A. Azpicueta-Ruiz, 2011, 2011 Joint Workshop on Hands-free Speech Communication and Microphone Arrays.

Design and energy-efficient resource management of virtualized networked Fog architectures for the real-time support of IoT applications

Enzo Baccarelli, Michele Scarpiniti, Paola Gabriela Vinueza Naranjo, 2018, The Journal of Supercomputing.

Monitoring of marine mucilage formation in Italian seas investigated by infrared spectroscopy and independent component analysis

M. Scarpiniti, M. Pietroletti, R. Acquistucci, 2012, Environmental Monitoring and Assessment.

The variable step size regularized block exact affine projection algorithm

Felix Albu, D. Coltuc, M. Scarpiniti, 2012, 2012 10th International Symposium on Electronics and Telecommunications.

Flexible estimation of probability and cumulative density functions

R. Parisi, M. Scarpiniti, A. Uncini, 2009 .

Exploiting probability density function of deep convolutional autoencoders’ latent space for reliable COVID-19 detection on CT scans

E. Baccarelli, M. Scarpiniti, L. Piazzo, 2022, The Journal of Supercomputing.

Proposal for a deconvolution procedure for the gas chromatographic estimation of pristane and phytane in marine sediments

M. Scarpiniti, M. Pietroletti, M. Mecozzi, 2009 .

AFAFed -- Protocol analysis

E. Baccarelli, M. Scarpiniti, S. S. Ahrabi, 2022, 2206.14927.

A New Class of Efficient Adaptive Filters for Online Nonlinear Modeling

A. Hussain, D. Comminiello, M. Scarpiniti, 2021, IEEE Transactions on Systems, Man, and Cybernetics: Systems.

FLEXIBLE ICA IN COMPLEX AND NONLINEAR ENVIRONMENT BY AN MUTUAL INFORMATION APPROACH

R. Parisi, M. Scarpiniti, A. Uncini, 2006 .

On the Influence of Microphone Array Geometry on the Behavior of Hypercomplex Adaptive Filters

D. Comminiello, M. Scarpiniti, A. Uncini, 2017, 2017 IEEE Microwaves, Radar and Remote Sensing Symposium (MRRS).

Why Should We Add Early Exits to Neural Networks?

M. Scarpiniti, A. Uncini, Simone Scardapane, 2020, Cognitive Computation.

Energy performance of heuristics and meta-heuristics for real-time joint resource scaling and consolidation in virtualized networked data centers

P. G. V. Naranjo, E. Baccarelli, M. Scarpiniti, 2018, The Journal of Supercomputing.

Flexible blind signal separation in the complex domain

Michele Scarpiniti, Raffaele Parisi, Aurelio Uncini, 2009 .

Flexible Nonlinear Blind Signal Separation in the Complex Domain

Michele Scarpiniti, Raffaele Parisi, Aurelio Uncini, 2008, Int. J. Neural Syst..

Stereo acoustical echo cancellation based on common poles

Michele Scarpiniti, Raffaele Parisi, Aurelio Uncini, 2009, 2009 16th International Conference on Digital Signal Processing.

A novel unsupervised approach based on the hidden features of Deep Denoising Autoencoders for COVID-19 disease detection

E. Baccarelli, M. Scarpiniti, L. Piazzo, 2021, Expert Systems with Applications.

A Histogram-Based Low-Complexity Approach for the Effective Detection of COVID-19 Disease from CT and X-ray Images

Enzo Baccarelli, Michele Scarpiniti, Lorenzo Piazzo, 2021, Applied Sciences.

Optimization of Security Communication Wired Network by Means of Genetic Algorithms

Michele Scarpiniti, Roberto Cusani, Fabio Garzia, 2012 .

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

E. Baccarelli, M. Scarpiniti, L. Piazzo, 2022, The Journal of Supercomputing.

Fog-Supported Delay-Constrained Energy-Saving Live Migration of VMs Over MultiPath TCP/IP 5G Connections

Enzo Baccarelli, Michele Scarpiniti, Alireza Momenzadeh, 2018, IEEE Access.

Design and energy-efficient resource management of virtualized networked Fog architectures for the real-time support of IoT applications

Paola G. Vinueza Naranjo, E. Baccarelli, M. Scarpiniti, 2018, The Journal of Supercomputing.

Differentiable Branching In Deep Networks for Fast Inference

Enzo Baccarelli, Danilo Comminiello, Simone Scardapane, 2020, ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

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

Enzo Baccarelli, Jemal H. Abawajy, Michele Scarpiniti, 2017, IEEE Access.

Generalized splitting functions for blind separation of complex signals

Michele Scarpiniti, Raffaele Parisi, Aurelio Uncini, 2008, Neurocomputing.

Why Should We Add Early Exits to Neural Networks?

E. Baccarelli, M. Scarpiniti, A. Uncini, 2020, Cognitive Computation.

Separation of Drum and Bass from Monaural Tracks

Danilo Comminiello, Simone Scardapane, Michele Scarpiniti, 2017, Neural Advances in Processing Nonlinear Dynamic Signals.

DeepFogSim: A Toolbox for Execution and Performance Evaluation of the Inference Phase of Conditional Deep Neural Networks with Early Exits Atop Distributed Fog Platforms

Enzo Baccarelli, Michele Scarpiniti, Alireza Momenzadeh, 2021, Applied Sciences.

Flexible estimation of joint probability and joint cumulative density functions

Michele Scarpiniti, Raffaele Parisi, Aurelio Uncini, 2010 .

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

E. Baccarelli, M. Scarpiniti, S. S. Ahrabi, 2021, Comput..

Online Sequential Extreme Learning Machine With Kernels

Danilo Comminiello, Simone Scardapane, Michele Scarpiniti, 2015, IEEE Transactions on Neural Networks and Learning Systems.

Music Genre Classification Using Stacked Auto-Encoders

Danilo Comminiello, Simone Scardapane, Michele Scarpiniti, 2020, Neural Approaches to Dynamics of Signal Exchanges.

Nonlinear spline adaptive filtering

Danilo Comminiello, Michele Scarpiniti, Raffaele Parisi, 2013, Signal Process..

SmartFog: Training the Fog for the Energy-Saving Analytics of Smart-Meter Data

Enzo Baccarelli, Michele Scarpiniti, Aurelio Uncini, 2019, Applied Sciences.

EcoMobiFog–Design and Dynamic Optimization of a 5G Mobile-Fog-Cloud Multi-Tier Ecosystem for the Real-Time Distributed Execution of Stream Applications

Enzo Baccarelli, Michele Scarpiniti, Alireza Momenzadeh, 2019, IEEE Access.

VirtFogSim: A Parallel Toolbox for Dynamic Energy-Delay Performance Testing and Optimization of 5G Mobile-Fog-Cloud Virtualized Platforms

Enzo Baccarelli, Michele Scarpiniti, Alireza Momenzadeh, 2019, Applied Sciences.

Q*: Energy and delay-efficient dynamic queue management in TCP/IP virtualized data centers

Enzo Baccarelli, Michele Scarpiniti, Mohammad Shojafar, 2017, Comput. Commun..

Learning-in-the-Fog (LiFo): Deep Learning Meets Fog Computing for the Minimum-Energy Distributed Early-Exit of Inference in Delay-Critical IoT Realms

Enzo Baccarelli, Michele Scarpiniti, Alireza Momenzadeh, 2021, IEEE Access.

Full proportionate functional link adaptive filters for nonlinear acoustic echo cancellation

Danilo Comminiello, Michele Scarpiniti, Aurelio Uncini, 2017, 2017 25th European Signal Processing Conference (EUSIPCO).

Hammerstein uniform cubic spline adaptive filters: Learning and convergence properties

Danilo Comminiello, Michele Scarpiniti, Raffaele Parisi, 2014, Signal Process..

Functional Link Adaptive Filters for Nonlinear Acoustic Echo Cancellation

Danilo Comminiello, Michele Scarpiniti, Aurelio Uncini, 2013, IEEE Transactions on Audio, Speech, and Language Processing.

Novel Cascade Spline Architectures for the Identification of Nonlinear Systems

Danilo Comminiello, Michele Scarpiniti, Raffaele Parisi, 2015, IEEE Transactions on Circuits and Systems I: Regular Papers.

Frequency-domain Adaptive Filtering: from Real to Hypercomplex Signal Processing

Danilo Comminiello, Michele Scarpiniti, Raffaele Parisi, 2019, ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

GP-based kernel evolution for L2-Regularization Networks

Danilo Comminiello, Simone Scardapane, Michele Scarpiniti, 2014, 2014 IEEE Congress on Evolutionary Computation (CEC).

Energy performance of heuristics and meta-heuristics for real-time joint resource scaling and consolidation in virtualized networked data centers

Enzo Baccarelli, Michele Scarpiniti, Aurelio Uncini, 2018, The Journal of Supercomputing.

Sparse functional link adaptive filter using an ℓ1-norm regularization

Danilo Comminiello, Simone Scardapane, Michele Scarpiniti, 2018, 2018 IEEE International Symposium on Circuits and Systems (ISCAS).

Nonlinear Acoustic Echo Cancellation Based on Sparse Functional Link Representations

Danilo Comminiello, Michele Scarpiniti, Aurelio Uncini, 2014, IEEE/ACM Transactions on Audio, Speech, and Language Processing.

Frequency-Domain Adaptive Filtering in Hypercomplex Systems

Danilo Comminiello, Michele Scarpiniti, Aurelio Uncini, 2015, Advances in Neural Networks.

Steady-State Performance of Spline Adaptive Filters

Danilo Comminiello, Michele Scarpiniti, Raffaele Parisi, 2016, IEEE Transactions on Signal Processing.

On 4-Dimensional Hypercomplex Algebras in Adaptive Signal Processing

Danilo Comminiello, Michele Scarpiniti, Aurelio Uncini, 2017, Neural Advances in Processing Nonlinear Dynamic Signals.

Convex Combination of Spline Adaptive Filters

Danilo Comminiello, Michele Scarpiniti, Aurelio Uncini, 2019, 2019 27th European Signal Processing Conference (EUSIPCO).

Combined adaptive beamforming schemes for nonstationary interfering noise reduction

Danilo Comminiello, Michele Scarpiniti, Raffaele Parisi, 2013, Signal Process..

Efficient data augmentation using graph imputation neural networks

Simone Scardapane, Michele Scarpiniti, Aurelio Uncini, 2019, IIH-MSP.

A Multimodal Dense U-Net For Accelerating Multiple Sclerosis MRI

Danilo Comminiello, Simone Scardapane, Michele Scarpiniti, 2019, 2019 IEEE 29th International Workshop on Machine Learning for Signal Processing (MLSP).

Deep Belief Network based audio classification for construction sites monitoring

Michele Scarpiniti, Aurelio Uncini, Yong-Cheol Lee, 2021, Expert Syst. Appl..

A Wide Multimodal Dense U-Net for Fast Magnetic Resonance Imaging

Danilo Comminiello, Simone Scardapane, Michele Scarpiniti, 2021, 2020 28th European Signal Processing Conference (EUSIPCO).

Combined Sparse Regularization for Nonlinear Adaptive Filters

Danilo Comminiello, Simone Scardapane, Michele Scarpiniti, 2018, 2018 26th European Signal Processing Conference (EUSIPCO).

Text Independent Automatic Speaker Recognition System Using Mel-Frequency Cepstrum Coefficient and Gaussian Mixture Models

Michele Scarpiniti, Roberto Cusani, Fabio Garzia, 2012, J. Information Security.

A partitioned frequency domain algorithm for convolutive blind source separation

Michele Scarpiniti, Raffaele Parisi, Aurelio Uncini, 2009, 2009 IEEE International Workshop on Machine Learning for Signal Processing.

Microphone array based classification for security monitoring in unstructured environments

Simone Scardapane, Michele Scarpiniti, Raffaele Parisi, 2015 .

CoVal-SGAN: A Complex-Valued Spectral GAN architecture for the effective audio data augmentation in construction sites

D. Comminiello, M. Scarpiniti, A. Uncini, 2022, 2022 International Joint Conference on Neural Networks (IJCNN).

Quaternion Widely Linear Forecasting of Air Quality

Danilo Comminiello, Michele Scarpiniti, Aurelio Uncini, 2017, IIH-MSP.

A Multimodal Deep Network for the Reconstruction of T2W MR Images

Danilo Comminiello, Simone Scardapane, Michele Scarpiniti, 2019, IIH-MSP.

Design of hybrid nonlinear spline adaptive filters for active noise control

Nithin V. George, Danilo Comminiello, Michele Scarpiniti, 2016, 2016 International Joint Conference on Neural Networks (IJCNN).

Nonlinear system identification using IIR Spline Adaptive Filters

Danilo Comminiello, Michele Scarpiniti, Raffaele Parisi, 2015, Signal Process..

Fourier transform infrared spectroscopic investigation of humic substance samples of different origin and typology supported by chemometric tools

M. Scarpiniti, N. Calace, B. M. Petronio, 2011 .

A Scalogram-Based CNN Approach for Audio Classification in Construction Sites

R. Parisi, M. Scarpiniti, Yong-Cheol Lee, 2022 .

Deep Recurrent Neural Networks for Audio Classification in Construction Sites

Danilo Comminiello, Michele Scarpiniti, Aurelio Uncini, 2021, 2020 28th European Signal Processing Conference (EUSIPCO).

Security monitoring based on joint automatic speaker recognition and blind source separation

Michele Scarpiniti, Fabio Garzia, M. Scarpiniti, 2014, 2014 International Carnahan Conference on Security Technology (ICCST).

A Geometrically Constrained ICA Algorithm for Blind Separation in Convolutive Environments

Michele Scarpiniti, Raffaele Parisi, Aurelio Uncini, 2011, WIRN.

Fog of Social IoT: When the Fog Becomes Social

Enzo Baccarelli, Michele Scarpiniti, Paola Gabriela Vinueza Naranjo, 2018, IEEE Network.

Effective Blind Source Separation Based on the Adam Algorithm pdf

Danilo Comminiello, Simone Scardapane, Michele Scarpiniti, 2016, Multidisciplinary Approaches to Neural Computing.

Proportionate Algorithms for Blind Source Separation

Danilo Comminiello, Simone Scardapane, Michele Scarpiniti, 2013, WIRN.

Multi-resolution Twinned Residual Auto-Encoders (MR-TRAE) - A Novel DL Model for Image Multi-resolution

E. Baccarelli, M. Scarpiniti, S. S. Ahrabi, 2024, Cogn. Comput..

Advanced Sound Classifiers and Performance Analyses for Accurate Audio-Based Construction Project Monitoring

Michele Scarpiniti, Aurelio Uncini, Yong-Cheol Lee, 2020, J. Comput. Civ. Eng..

Optimized training and scalable implementation of Conditional Deep Neural Networks with early exits for Fog-supported IoT applications

Enzo Baccarelli, Simone Scardapane, Michele Scarpiniti, 2020, Inf. Sci..

Frequency domain quaternion adaptive filters: Algorithms and convergence performance

Danilo Comminiello, Michele Scarpiniti, Aurelio Uncini, 2017, Signal Process..