Zobrazeno 1 - 10
of 211
pro vyhledávání: '"Giuseppe Marra"'
Autor:
Souter, Alexander
Publikováno v:
Gnomon, 1938 May 01. 14(5), 283-284.
Externí odkaz:
https://www.jstor.org/stable/27675828
Autor:
Alessandra Fucci, Simona Giacobbe, Ilaria Guerriero, Yoko Suzumoto, Egildo Luca D'Andrea, Marianna Scrima, Maria Luisa Nolli, Anna Iervolino, Luigi Amedeo Chiuchiolo, Ermanno Salvatore, Roberta Renzulli, Ludovico La Peccerella, Giuseppe Marra, Marco Liuzzi, Domenico Santoro, Enrico Zulli, Romolo Gentile, Gennaro Clemente, Giovambattista Capasso
Publikováno v:
Kidney & Blood Pressure Research (2022)
Introduction. Since the pandemic of Coronavirus Disease 2019 (COVID-19) started from December 2019, remarkable numbers of infections and deaths associated with COVID-19 have been recorded worldwide. End-Stage Renal Disease (ESRD) patients on dialysis
Externí odkaz:
https://doaj.org/article/f813636b29684e22a263fd0a172bbb54
Autor:
Francesco Della Corte, Giovanni Pangallo, Riccardo Carotenuto, Demetrio Iero, Giuseppe Marra, Massimo Merenda, Sandro Rao
Publikováno v:
IEEE Access, Vol 8, Pp 43057-43066 (2020)
A detailed study about the direct measurement of junction temperature Ti of off-the-shelf power light emitting diodes (LED) is presented. The linear dependence on temperature of the voltage drop across the device terminals at a constant current is in
Externí odkaz:
https://doaj.org/article/b34cd277a44f4fac841e05bbc7b1a7ae
Publikováno v:
Electronic Proceedings in Theoretical Computer Science. 364:126-128
Autor:
Giuseppe Marra
Publikováno v:
Intelligenza Artificiale. 15:71-90
In this paper, we investigate MiniMax Entropy models, a class of neural symbolic models where symbolic and subsymbolic features are seamlessly integrated. We show how these models recover classical algorithms from both the deep learning and statistic
Publikováno v:
IEEE Transactions on Pattern Analysis and Machine Intelligence. 44:727-739
The popularity of deep learning techniques renewed the interest in neural architectures able to process complex structures that can be represented using graphs, inspired by Graph Neural Networks (GNNs). We focus our attention on the originally propos
Autor:
Zitong Feng, Giuseppe Marra, Xi Zhang, Eric R. Numkam Fokoua, Hesham Sakr, John R. Hayes, Francesco Poletti, David J. Richardson, Radan Slavík
Publikováno v:
Laser & Photonics Reviews. 16
Over the last two decades, optical frequency combs (OFCs) have enabled some of the most accurate measurements in physics. Distributing light from OFCs via optical fibers could make these high-accuracy measurement tools available more widely, from a f
Publikováno v:
IEEE Transactions on Neural Networks and Learning Systems. 31:4475-4486
We consider a scenario where an artificial agent is reading a stream of text composed of a set of narrations, and it is informed about the identity of some of the individuals that are mentioned in the text portion that is currently being read. The ag
Autor:
André Xuereb, Anna Tampellini, Davide Calonico, Filippo Levi, Louise Wright, J. Kronjäger, Stephen P. Robinson, Brian Baptie, Giuseppe Marra, Alberto Mura, R. Luckett, Cecilia Clivati
Detecting ocean-floor seismic activity is crucial for our understanding of the interior structure and dynamic behavior of the Earth. However, 70% of the planet’s surface is covered by water and seismometers coverage is limited to a handful of perma
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::81b057b5d006332f4b2bacaf2604d655
https://www.um.edu.mt/library/oar/handle/123456789/95722
https://www.um.edu.mt/library/oar/handle/123456789/95722
Autor:
Mateo Espinosa Zarlenga, Pietro, Barbiero, Gabriele, Ciravegna, Giuseppe, Marra, Giannini, Francesco, Diligenti, Michelangelo, Zohreh, Shams, Frederic, Precioso, Melacci, Stefano, Adrian, Weller, Pietro, Lió, Mateja, Jamnik
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______1820::fd1717b6eedb56474028cc76d20bbf60
https://hdl.handle.net/11365/1231237
https://hdl.handle.net/11365/1231237