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Michele Scarpiniti

Showing results (1-10 of 9) with videos related to

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Sensors (Basel, Switzerland)|January 8, 2025
Arrhythmia Detection by Data Fusion of ECG Scalograms and PhasogramsMichele Scarpiniti
Expert Systems with Applications|April 24, 2023
Twinned Residual Auto-Encoder (TRAE)-A new DL architecture for denoising super-resolution and task-aware feature learning from COVID-19 CT imagesEnzo Baccarelli, Michele Scarpiniti, Alireza Momenzadeh
International Journal of Neural Systems|May 3, 2008
Flexible nonlinear blind signal separation in the complex domainDaniele Vigliano, Michele Scarpiniti, Raffaele Parisi, et al.
IEEE Transactions on Neural Networks and Learning Systems|January 7, 2015
Online Sequential Extreme Learning Machine With KernelsSimone Scardapane, Danilo Comminiello, Michele Scarpiniti, et al.
Neural Networks : the Official Journal of the International Neural Network Society|June 10, 2015
Improving nonlinear modeling capabilities of functional link adaptive filtersDanilo Comminiello, Michele Scarpiniti, Simone Scardapane, et al.
Expert Systems with Applications|December 23, 2021
A novel unsupervised approach based on the hidden features of Deep Denoising Autoencoders for COVID-19 disease detectionMichele Scarpiniti, Sima Sarv Ahrabi, Enzo Baccarelli, et al.
Environmental Monitoring and Assessment|October 25, 2011
Monitoring of marine mucilage formation in Italian seas investigated by infrared spectroscopy and independent component analysisMauro Mecozzi, Marco Pietroletti, Michele Scarpiniti, et al.
The Journal of Supercomputing|August 31, 2022
How much BiGAN and CycleGAN-learned hidden features are effective for COVID-19 detection from CT images? A comparative studySima Sarv Ahrabi, Alireza Momenzadeh, Enzo Baccarelli, et al.
The Journal of Supercomputing|March 1, 2022
Exploiting probability density function of deep convolutional autoencoders' latent space for reliable COVID-19 detection on CT scansSima Sarv Ahrabi, Lorenzo Piazzo, Alireza Momenzadeh, et al.
Pageof 1

Showing results (1-10 of 9) with videos related to

Sort By:
Pageof 1
Sensors (Basel, Switzerland)|January 8, 2025
Arrhythmia Detection by Data Fusion of ECG Scalograms and PhasogramsMichele Scarpiniti
Expert Systems with Applications|April 24, 2023
Twinned Residual Auto-Encoder (TRAE)-A new DL architecture for denoising super-resolution and task-aware feature learning from COVID-19 CT imagesEnzo Baccarelli, Michele Scarpiniti, Alireza Momenzadeh
International Journal of Neural Systems|May 3, 2008
Flexible nonlinear blind signal separation in the complex domainDaniele Vigliano, Michele Scarpiniti, Raffaele Parisi, et al.
IEEE Transactions on Neural Networks and Learning Systems|January 7, 2015
Online Sequential Extreme Learning Machine With KernelsSimone Scardapane, Danilo Comminiello, Michele Scarpiniti, et al.
Neural Networks : the Official Journal of the International Neural Network Society|June 10, 2015
Improving nonlinear modeling capabilities of functional link adaptive filtersDanilo Comminiello, Michele Scarpiniti, Simone Scardapane, et al.
Expert Systems with Applications|December 23, 2021
A novel unsupervised approach based on the hidden features of Deep Denoising Autoencoders for COVID-19 disease detectionMichele Scarpiniti, Sima Sarv Ahrabi, Enzo Baccarelli, et al.
Environmental Monitoring and Assessment|October 25, 2011
Monitoring of marine mucilage formation in Italian seas investigated by infrared spectroscopy and independent component analysisMauro Mecozzi, Marco Pietroletti, Michele Scarpiniti, et al.
The Journal of Supercomputing|August 31, 2022
How much BiGAN and CycleGAN-learned hidden features are effective for COVID-19 detection from CT images? A comparative studySima Sarv Ahrabi, Alireza Momenzadeh, Enzo Baccarelli, et al.
The Journal of Supercomputing|March 1, 2022
Exploiting probability density function of deep convolutional autoencoders' latent space for reliable COVID-19 detection on CT scansSima Sarv Ahrabi, Lorenzo Piazzo, Alireza Momenzadeh, et al.
Pageof 1