User profiles for C. Porcaro

Camillo Porcaro

Associate Professor, University of Padua
Verified email at istc.cnr.it
Cited by 3412

[HTML][HTML] Edge machine learning for ai-enabled iot devices: A review

M Merenda, C Porcaro, D Iero - Sensors, 2020 - mdpi.com
In a few years, the world will be populated by billions of connected devices that will be placed
in our homes, cities, vehicles, and industries. Devices with limited resources will interact …

[HTML][HTML] Hybrid deep learning (hDL)-based brain-computer interface (BCI) systems: a systematic review

…, S Iarlori, F Ferracuti, A Monterił, C Porcaro - Brain sciences, 2021 - mdpi.com
… By merging different kinds of networks, we can extract deeper features than using the deep
learning algorithm alone [44] (see Appendix C for a more detailed overview of Deep Learning…

Optimization of an independent component analysis approach for artifact identification and removal in magnetoencephalographic signals

G Barbati, C Porcaro, F Zappasodi, PM Rossini… - Clinical …, 2004 - Elsevier
… (a) Kurtosis o marked IC3, corresponding to ECG, for rejection; (b) Entropy o marked IC4,
corresponding to EOG; (c) PSD corr marked IC3 for ECG and IC4 for EOG; (d) Kurtosis g …

[HTML][HTML] Diagnostic developments in differentiating unresponsive wakefulness syndrome and the minimally conscious state

C Porcaro, IE Nemirovsky, F Riganello… - Frontiers in …, 2022 - frontiersin.org
When treating patients with a disorder of consciousness (DOC), it is essential to obtain an
accurate diagnosis as soon as possible to generate individualized treatment programs. …

A 1D CNN for high accuracy classification and transfer learning in motor imagery EEG-based brain-computer interface

F Mattioli, C Porcaro… - Journal of Neural …, 2022 - iopscience.iop.org
Objective. Brain-computer interface (BCI) aims to establish communication paths between the
brain processes and external devices. Different methods have been used to extract human …

Detecting large‐scale networks in the human brain using high‐density electroencephalography

Q Liu, S Farahibozorg, C Porcaro… - Human brain …, 2017 - Wiley Online Library
… After ICA decomposition, the artifactual ICs were automatically classified by extracting
and assessing the following parameters: (1) correlation c p between the power of the IC with …

[HTML][HTML] Electroencephalographic fractal dimension in healthy ageing and Alzheimer's disease

FM Smits, C Porcaro, C Cottone, A Cancelli… - PloS one, 2016 - journals.plos.org
… Blood serum was stored at −80C until biochemical measurements of NCC were performed.
For each serum copper and ceruloplasmin pair, we computed the amount of copper bound to …

[HTML][HTML] Spontaneous EEG alpha oscillation interacts with positive and negative BOLD responses in the visual–auditory cortices and default-mode network

SD Mayhew, D Ostwald, C Porcaro, AP Bagshaw - Neuroimage, 2013 - Elsevier
… Black/white checkerboard stimuli were presented at either high (C Michelson … , the main
effect of visual contrast is additionally included in C). The modulation of the BOLD timecourse by …

The rule of law at time of masculine honor: Afghan police attitudes and intimate partner violence

…, S Pagliaro, C Porcaro - Group Processes & …, 2013 - journals.sagepub.com
This paper examines how attitudes toward violence against women (VAW)—in terms of
justification—influence the behavioral intentions of Afghan police officers when dealing with a …

Removing speech artifacts from electroencephalographic recordings during overt picture naming

C Porcaro, MT Medaglia, A Krott - NeuroImage, 2015 - Elsevier
c) IC source localization was used to identify noise components such as environmental
noise. For the source localization we used the equivalent current dipole (ECD) model with four …