Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Pitsios, Stamatis"'
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:
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:
Reji, Sangeetha, Hetterich, Jonas, Pitsios, Stamatis, Gkolemi, Vasilis, Perez-Castanos, Sergi, Pertselakis, Minas
Explainable AI (XAI) is an emerging field that aims to address how black-box decisions of AI systems are made, by attempting to understand the steps and models involved in this decision-making. XAI in manufacturing is supposed to deliver predictabili
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::13be445a0f4c69a59adceb93f3110b37
Autor:
McCreadie, Richard, Perakis, Konstantinos, Srikrishna, Maanasa, Droukas, Nikolaos, Pitsios, Stamatis, Prokopaki, Georgia, Perdikouri, Eleni, Macdonald, Craig, Ounis, Iadh
Publikováno v:
Big Data and Artificial Intelligence in Digital Finance ISBN: 9783030945893
Recent advances in Big Data and Artificial Intelligence have created new opportunities for AI-based agents, referred to as Robo-Advisors, to provide financial advice and recommendations to investors. In this chapter, we will introduce the concept of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::57a3e48ce9509937c8a09f973ccfe824
https://eprints.gla.ac.uk/270398/1/270398.pdf
https://eprints.gla.ac.uk/270398/1/270398.pdf