Zobrazeno 1 - 10
of 122
pro vyhledávání: '"Lagendijk, Reginald L."'
Autor:
Siebert, Luciano Cavalcante, Lupetti, Maria Luce, Aizenberg, Evgeni, Beckers, Niek, Zgonnikov, Arkady, Veluwenkamp, Herman, Abbink, David, Giaccardi, Elisa, Houben, Geert-Jan, Jonker, Catholijn M., Hoven, Jeroen van den, Forster, Deborah, Lagendijk, Reginald L.
Publikováno v:
AI Ethics (2022)
How can humans remain in control of artificial intelligence (AI)-based systems designed to perform tasks autonomously? Such systems are increasingly ubiquitous, creating benefits - but also undesirable situations where moral responsibility for their
Externí odkaz:
http://arxiv.org/abs/2112.01298
Existing permissionless blockchain solutions rely on peer-to-peer propagation mechanisms, where nodes in a network transfer transaction they received to their neighbors. Unfortunately, there is no explicit incentive for such transaction propagation.
Externí odkaz:
http://arxiv.org/abs/1712.07564
Autor:
Cavalcante Siebert, Luciano, Lupetti, Maria Luce, Aizenberg, Evgeni, Beckers, Niek, Zgonnikov, Arkady, Veluwenkamp, Herman, Abbink, David, Giaccardi, Elisa, Houben, Geert-Jan, Jonker, Catholijn M., van den Hoven, Jeroen, Forster, Deborah, Lagendijk, Reginald L.
Publikováno v:
AI and Ethics; February 2023, Vol. 3 Issue: 1 p241-255, 15p
Publikováno v:
ACM International Conference Proceeding Series; 8/27/2018, p1-10, 10p
Publikováno v:
ACM International Conference Proceeding Series; 8/27/2018, p1-10, 10p
Autor:
Jeckmans, Arjan, Beye, Michael, Erkin, Zekeriya, Hartel, Pieter H., Lagendijk, Reginald L., Tang, Qiang, Ramzan, Naeem, van Zwol, Roelof, Lee, Jong-Seok, Clüver, Kai, Hua, Xian-Sheng
Publikováno v:
Computer Communications and Networks ISBN: 9781447145547
Social Media Retrieval
Social Media Retrieval, 263-281
STARTPAGE=263;ENDPAGE=281;TITLE=Social Media Retrieval
Social Media Retrieval
Social Media Retrieval, 263-281
STARTPAGE=263;ENDPAGE=281;TITLE=Social Media Retrieval
In many online applications, the range of content that is offered to users is so wide that a need for automated recommender systems arises. Such systems can provide a personalized selection of relevant items to users. In practice, this can help peopl
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2d8954f64f078b1bc0bee1be31f1256a
https://doi.org/10.1007/978-1-4471-4555-4_12
https://doi.org/10.1007/978-1-4471-4555-4_12
Publikováno v:
ISSUE=31;STARTPAGE=35;ENDPAGE=42;TITLE=31st WIC Symposium on Information Theory in the Benelux 2010
Recommender systems are widely used in online applications since they enable personalized service to the users. The underlying collaborative filtering techniques work on user’s data which are mostly privacy sensitive and can be misused by the servi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=narcis______::e875b17390fd5bc67c5d8f9d9de04cb1
https://research.utwente.nl/en/publications/043f797a-a63f-4d10-9c92-e953b22f39f8
https://research.utwente.nl/en/publications/043f797a-a63f-4d10-9c92-e953b22f39f8