output
20082024
most citedHuman brain distinctiveness based on EEG spectral coherence connectivity

265 citations

12 papers

astro-ph.HE2024

Long term optical variability of two HMXB

Roberto Nesci, Mariateresa Fiocchi, Antonio Vagnozzi

We discuss the optical light curves of two Be X-ray Binaries, IGR J06074+2205 and SAX J2103.5+4545 recovered from the ATLAS, ZTF and ASAS-SN databases. Both sources show long term…

cs.RO2020★ 8 cited

Exploiting Intrinsic Kinematic Null Space for Supernumerary Robotic Limbs Control

Tommaso Lisini Baldi, Nicole D'Aurizio, Sergio Gurgone +3

Supernumerary robotic limbs (SRLs) gained increasing interest in the last years for their applicability as healthcare and assistive technologies. These devices can either support o…

astro-ph.GA2018★ 6 cited

UV background fluctuations traced by metal ions at

L. Graziani, A. Maselli, U. Maio

Here we investigate how LyC-opaque systems present in the intergalactic medium at can distort the spectral shape of a uniform UV background (UVB) through radiative tran…

q-bio.NC2018★ 1 cited

Deep Learning for Quality Control of Subcortical Brain 3D Shape Models

Dmitry Petrov, Boris A. Gutman Egor Kuznetsov, Theo G. M. van Erp +70

We present several deep learning models for assessing the morphometric fidelity of deep grey matter region models extracted from brain MRI. We test three different convolutional ne…

cond-mat.supr-con2017★ 11 cited

X-rays writing/reading of Charge Density Waves in the CuO2 plane of a simple cuprate superconductor

Gaetano Campi, Alessandro Ricci, Nicola Poccia +2

It is now well established that superconductivity in cuprates competes with charge modulations giving electronic phase separation at a nanoscale. More specifically, superconducting…

q-bio.NC2014★ 265 cited

Human brain distinctiveness based on EEG spectral coherence connectivity

Daria La Rocca, Patrizio Campisi, Balazs Vegso +4

The use of EEG biometrics, for the purpose of automatic people recognition, has received increasing attention in the recent years. Most of current analysis rely on the extraction o…