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pro vyhledávání: '"Arian Ranjbar"'
Publikováno v:
IEEE Transactions on Intelligent Vehicles. 7:711-721
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::551ee7d0b4332db22f9b2564e4de3edf
https://doi.org/10.1109/tiv.2022.3152084
https://doi.org/10.1109/tiv.2022.3152084
Autor:
Arian Ranjbar, Kristin Skolt, Kathinka Theodore Aakenes Vik, Beate Sletvold Øistad, Eilin Wermundsen Mork, Jesper Ravn
Publikováno v:
Caring is Sharing – Exploiting the Value in Data for Health and Innovation ISBN: 9781643683881
As the use of artificial intelligence within healthcare is on the rise, an increased attention has been directed towards ethical considerations. Defining fairness in machine learning is a well explored topic with an extensive literature. However, suc
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4bc6e74d8ade728fa2637750b9e95670
https://doi.org/10.3233/shti230184
https://doi.org/10.3233/shti230184
Publikováno v:
Caring is Sharing – Exploiting the Value in Data for Health and Innovation ISBN: 9781643683881
The last decade has seen a large increase in artificial intelligence research within healthcare. However, relatively few attempts of clinical trials have been made for such configurations. One of the main challenges arise in the extensive infrastruct
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::46398d187f5f543dc30496f94cf0d88e
https://doi.org/10.3233/shti230098
https://doi.org/10.3233/shti230098
Publikováno v:
ITSC
Deep learning approaches are widely explored in safety-critical autonomous driving systems on various tasks. Network models, trained on big data, map input to probable prediction results. However, it is unclear how to get a measure of confidence on t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3f0fd7ca77725c0ce5e612d2d4b72e55
https://doi.org/10.1109/itsc45102.2020.9294451
https://doi.org/10.1109/itsc45102.2020.9294451