UID:
almahu_9949850809402882
Format:
X, 170 p. 59 illus., 51 illus. in color.
,
online resource.
Edition:
1st ed. 2024.
ISBN:
9783031677519
Series Statement:
Lecture Notes in Computer Science, 14812
Content:
This book constitutes the proceedings of Second International Workshop on Trustworthy Artificial Intelligence for Healthcare, TAI4H 2024, held in Jeju, South Korea, in August 2024, in conjunction with the International Joint Conference on Artificial Intelligence, IJCAI 2024. The 13 full papers included in this book were carefully reviewed and selected from 21 submissions. They focus on trustworthy artificial intelligence, healthcare, generalization, explainability, fairness, privacy, multi-modal fusion, foundation models. .
In:
Springer Nature eBook
Additional Edition:
Printed edition: ISBN 9783031677502
Additional Edition:
Printed edition: ISBN 9783031677526
Language:
English
DOI:
10.1007/978-3-031-67751-9
URL:
https://doi.org/10.1007/978-3-031-67751-9
