Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Dana Oniga"'
Autor:
Dimitris Kavallieros, Theodora Tsikrika, Stefanos Vrochidis, Ilias Koritsas, Arnolnt Spyros, Kallipi Lapidaki, Spyridon Papastergiou, Konstantina Stelliou, Karina Sanchez, Ntafloukas Konstantinos, Iulia Stefan, Catalin Danila, Dana Oniga, Thanasis Tziouvaras
This deliverable presents the initial version of the SECANT Threat Intelligence Module (TIM) as the outcome of the work perform during T3.2. The development of TIM is performed according to the initial architecture of SECANT as defined in “D2.4 –
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2b51ab9ceeaceba3ee39402b0da9184a
Autor:
Krishna Chandramouri, Sokratis Nifakos, DImitrios Xydias, Timo Kasig, Sergiu Marin, Tudor Socea, Mihaela Coroiu, Filippo Rebecchi, Veronique Capdevielle, Eirini Barri, Nenad Gligoric, Duncan Main, Liviana Hriscanu, Daniela Tapi, Octavian Popa, Bogdan Radu, Silviu Dorobantu, Irene-Maria Tabakis, Nikos Arguropoulos, Saber Mhiri, Sofoklis Efremidis, Theoni Dounia, Nikolaos Vrionis, Christos Sakkas, Gabriela Panzariuc, Christina Prunaru, Dana Oniga
The objective of the deliverable is to report on the activities carried out in Task 2.3 titled “Use case analysis and application scenarios” in WP2. The results of the task have been consolidated in this deliverable that offers support for the te
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1d88833f14038ccf20877c006f3c3ad6
Autor:
Dana Oniga, Barbara Cantalupo, Enzo Tartaglione, Daniele Perlo, Marco Grangetto, Marco Aldinucci, Federico Bolelli, Federico Pollastri, Michele Cancilla, Laura Canalini, Costantino Grana, Cristina Muñoz Alcalde, Franco Alberto Cardillo, Monica Florea
Publikováno v:
HPC, Big Data, and AI Convergence Towards Exascale ISBN: 9781003176664
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::014c1b97682c818d348ca220f1313056
https://hdl.handle.net/2318/1889147
https://hdl.handle.net/2318/1889147
Publikováno v:
pp. 217–240. London: CRC Press-Taylor & Francis Group, 2021
info:cnr-pdr/source/autori:Dana Oniga Barbara Cantalupo Daniele Perlo Marco Grangetto Federico Bolelli Federico Pollastri Michele Cancilla Laura Canalini Costantino Grana Cristina Muñoz Alcalde Franco Alberto Cardillo Monica Florea Enzo Tartaglione Marco Aldinucci/titolo:Applications of AI and HPC in the Health Domain/titolo_volume:/curatori_volume:/editore: /anno:2021
info:cnr-pdr/source/autori:Dana Oniga Barbara Cantalupo Daniele Perlo Marco Grangetto Federico Bolelli Federico Pollastri Michele Cancilla Laura Canalini Costantino Grana Cristina Muñoz Alcalde Franco Alberto Cardillo Monica Florea Enzo Tartaglione Marco Aldinucci/titolo:Applications of AI and HPC in the Health Domain/titolo_volume:/curatori_volume:/editore: /anno:2021
This chapter presents the applications of artificial intelligence (AI) and high-computing performance (HPC) in the health domain, illustrated by the description of five of the use cases that are developed in the DeepHealth project. In the context of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=cnr_________::6814ab98f1d6a0e8811cd434bbf4505a
Autor:
Marco Aldinucci, David Atienza, Federico Bolelli, Mónica Caballero, Iacopo Colonnelli, José Flich, Jon A. Gómez, David González, Costantino Grana, Marco Grangetto, Simone Leo, Pedro López, Dana Oniga, Roberto Paredes, Luca Pireddu, Eduardo Quiñones, Tatiana Silva, Enzo Tartaglione, Marina Zapater
Publikováno v:
UPCommons. Portal del coneixement obert de la UPC
Universitat Politècnica de Catalunya (UPC)
Technologies and Applications for Big Data Value
Technologies and Applications for Big Data Value ISBN: 9783030783068
Universitat Politècnica de Catalunya (UPC)
Technologies and Applications for Big Data Value
Technologies and Applications for Big Data Value ISBN: 9783030783068
At the present time, we are immersed in the convergence between Big Data, High-Performance Computing and Artificial Intelligence. Technological progress in these three areas has accelerated in recent years, forcing different players like software com
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9b72f51823f315c09eaf51b9520d3c8a
https://hdl.handle.net/11380/1230906
https://hdl.handle.net/11380/1230906