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pro vyhledávání: '"Christoforaki, Maria"'
Autor:
Christoforaki, Maria1 (AUTHOR) maria.christoforaki@uk-koeln.de, Beyan, Oya Deniz1,2 (AUTHOR)
Publikováno v:
AI. Jun2024, Vol. 5 Issue 2, p504-515. 12p.
In the last years, image classification processes like neural networks in the area of art-history and Heritage Informatics have experienced a broad distribution (Lang and Ommer 2018). These methods face several challenges, including the handling of c
Externí odkaz:
http://arxiv.org/abs/2001.02372
In this paper, we report on our efforts for using Deep Learning for classifying artifacts and their features in digital visuals as a part of the Neoclassica framework. It was conceived to provide scholars with new methods for analyzing and classifyin
Externí odkaz:
http://arxiv.org/abs/1710.04943
Autor:
Christoforaki, Maria
These Slides were presented In the context of the "A first approach to an ELSA Curriculum for Data Scientists-The FAIR Data Spaces Project as a Use Case " Workshop, which took place on 14.6.2023, online and was organized in the context of the BMBF Fa
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::98f22b72b2b71490f1ee60a619f7d9df
Publikováno v:
In Computer Networks 29 October 2015 90:110-120
Autor:
Christoforaki, Maria
A brief description of the status quo: ELSA as part of the Data Science curriculum in tertiary education; ELSA awareness demands in industry; determining the Data Scientist profile now and in the future
These Slides were presented In the context
These Slides were presented In the context
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f102dd00c602091d58e41056170124c5
Autor:
Christoforaki, Maria
Review of the existing approaches and identification of the challenges with respect to the context of developing a curriculum for practitioners, such as variance in experience, education, and cultural background.
These Slides were presented In t
These Slides were presented In t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ad8a145bf727173af70784ed8efeaa75
Akademický článek
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Autor:
Christoforaki, Maria
This report is one of the deliverables for the FAIR Data Spaces project, specifically for Work Package “ELSA training for Data Scientists”, which aims to promote knowledge of ethical and legal frameworks and raise awareness of ethical issues amon
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9a6b4dcf8ce366764af90637398adae0