Zobrazeno 1 - 10
of 81
pro vyhledávání: '"Lampathaki Fenareti"'
Autor:
Biliri, Evmorfia, Pertselakis, Minas, Phinikettos, Marios, Zacharias, Marios, Lampathaki, Fenareti, Alexandrou, Dimitrios
In recent years, there is growing interest in the ways the European aviation industry can leverage the multi-source data fusion towards augmented domain intelligence. However, privacy, legal and organisational policies together with technical limitat
Externí odkaz:
http://arxiv.org/abs/2111.13271
Autor:
Miltiadou, Dimitrios, Pitsios, Stamatis, Spyropoulos, Dimitrios, Alexandrou, Dimitrios, Lampathaki, Fenareti, Messina, Domenico, Perakis, Konstantinos
Publikováno v:
LNICST (2021), volume 371, pp 48-62
The unprecedented volume, diversity and richness of aviation data that can be acquired, generated, stored, and managed provides unique capabilities for the aviation-related industries and pertains value that remains to be unlocked with the adoption o
Externí odkaz:
http://arxiv.org/abs/2111.09872
Autor:
Miltiadou, Dimitrios, Pitsios, Stamatis, Spyropoulos, Dimitrios, Alexandrou, Dimitrios, Lampathaki, Fenareti, Messina, Domenico, Perakis, Konstantinos
Publikováno v:
LNICST (2021), volume 344, pp 120-134
The aviation industry as well as the industries that benefit and are linked to it are ripe for innovation in the form of Big Data analytics. The number of available big data technologies is constantly growing, while at the same time the existing ones
Externí odkaz:
http://arxiv.org/abs/2111.09863
Autor:
Perakis, Konstantinos, Lampathaki, Fenareti, Nikas, Konstantinos, Georgiou, Yiannis, Marko, Oskar, Maselyne, Jarissa
Publikováno v:
In Computer Networks 26 February 2020 168
Autor:
Agostinho, Carlos, Ducq, Yves, Zacharewicz, Gregory, Sarraipa, João, Lampathaki, Fenareti, Poler, Raul, Jardim-Goncalves, Ricardo
Publikováno v:
In Computers in Industry June 2016 79:64-76
Publikováno v:
In Procedia CIRP 2016 47:108-113
Autor:
Agostinho, Carlos, Dikopoulou, Zoumpolia, Lavasa, Eleni, Perakis, Konstantinos, Pitsios, Stamatis, Branco, Rui, Reji, Sangeetha, Hetterich, Jonas, Biliri, Evmorfia, Lampathaki, Fenareti, Del Rey, Silvia Rodríguez, Gkolemis, Vasileios
Publikováno v:
Frontiers in Artificial Intelligence; 2023, p1-21, 21p
Autor:
Biliri Evmorfia, Lampathaki Fenareti, Mandilaras George, Prieto-Roig Ausias, Calabresi Mattia, Branco Rui, Gkolemis Vasileios
Lack of understanding for machine learningmodels’ inner workings by business users inevitably leads to lack of trust, particularly in critical operations. Recent advancements in artificial intelligence include the development of explainability meth
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::89d37e0f263aa0f74d73d04e5a223dda
Autor:
Branco, Rui, Agostinho, Carlos, Gusmeroli, Sergio, Lavasa, Eleni, Dikopoulou, Zoumpolia, Monzo, David, Lampathaki, Fenareti
The use of artificial intelligence (AI) in manufacturing has become increasingly common, but the lack of transparency and interpretability of AI models can limit their adoption in critical applications, due to lack of human understanding. Explainable
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a9e0840819c021d748915133818a058e
Publikováno v:
MATEC Web of Conferences, Vol 304, p 04002 (2019)
Today, digital transformation has drifted all industries with its proven capacity to improve operations and boost revenues while building a value chain ecosystem. The aeronautics ecosystem is almost unanimously invested in some way into a digital tra
Externí odkaz:
https://doaj.org/article/ad86288ce4b74c99bd91d48d4f26e232