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pro vyhledávání: '"Zacharias Anastasakis"'
Autor:
Konstantinos Psychogyios, Helen C. Leligou, Filisia Melissari, Stavroula Bourou, Zacharias Anastasakis, Theodore Zahariadis
Publikováno v:
IEEE Access, Vol 11, Pp 100256-100267 (2023)
Neural Style Transfer (NST) is a popular technique of computer vision where the content of an image is blended with the style of another, which results in a fused image with certain properties of both original images. This approach has practical appl
Externí odkaz:
https://doaj.org/article/d5c6f3cad6864b15ba2ff9d8cc727aad
Autor:
Zacharias Anastasakis, Terpsichori-Helen Velivassaki, Artemis Voulkidis, Stavroula Bourou, Konstantinos Psychogyios, Dimitrios Skias, Theodore Zahariadis
Publikováno v:
Future Internet, Vol 15, Iss 9, p 296 (2023)
Federated Learning is identified as a reliable technique for distributed training of ML models. Specifically, a set of dispersed nodes may collaborate through a federation in producing a jointly trained ML model without disclosing their data to each
Externí odkaz:
https://doaj.org/article/faf410db9c6f4ccf8a611478d34de8a5
Publikováno v:
Human Interaction and Emerging Technologies (IHIET-AI 2023): Artificial Intelligence and Future Applications.
In recent years, Artificial Intelligence (AI) technology has seen significant growth due to advancements in machine learning (ML) and data processing, as well as the availability of large amounts of data. The integration of AI with eXtended Reality (
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8423ee01f64c236f7b3d92d639d658e0
https://doi.org/10.54941/ahfe1002938
https://doi.org/10.54941/ahfe1002938