Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Sadeghian, Mohammadreza"'
Autor:
Farrokhnia, Taraneh, Shoorgashti, Reyhaneh, Sadeghian, Mohammadreza, Hasanzade, Shahab, Lesan, Simin, Hedayati, Mahdi
Publikováno v:
Middle East Journal of Rehabilitation & Health Studies; Oct2024, Vol. 11 Issue 4, p1-8, 8p
Publikováno v:
Journal of Research in Health Sciences; Summer2014, Vol. 14 Issue 3, p210-213, 4p, 2 Charts, 3 Graphs
Publikováno v:
ACM Transactions on Knowledge Discovery from Data; Jun2024, Vol. 18 Issue 5, p1-16, 16p
Autor:
MENG JIANG
Publikováno v:
ACM Transactions on Knowledge Discovery from Data; Jan2024, Vol. 18 Issue 1, p1-23, 23p
Publikováno v:
ACM Transactions on Knowledge Discovery from Data; Aug2023, Vol. 17 Issue 7, p1-19, 19p
Publikováno v:
Journal of Isfahan Dental School; 2014, Vol. 10 Issue 2, p109-119, 11p
If only it were possible to develop automated and trainable neural systems that could justify their behavior in a way that could be interpreted by humans like a symbolic system. The field of Neurosymbolic AI aims to combine two disparate approaches t
Artificial intelligence (AI) has been much in the news recently, with some commentators expressing concern that AI might eventually replace humans. But many developments in AI are designed to enhance and supplement the performance of humans rather th
This book provides a comprehensive and accessible introduction to knowledge graphs, which have recently garnered notable attention from both industry and academia. Knowledge graphs are founded on the principle of applying a graph-based abstraction to
Autor:
Aidan Hogan, Eva Blomqvist, Michael Cochez, Claudia d’Amato, Gerard de Melo, Claudio Gutierrez, Sabrina Kirrane, Jose Emilio Labra Gayo, Roberto Navigli, Sebastian Neumaier, Axel Polleres, Sabbir Rashid, Anisa Rula, Antoine Zimmermann, Lukas Schmelzeisen, Axel-Cyrille Ngonga Ngomo, Juan Sequeda, Steffen Staab
This book provides a comprehensive and accessible introduction to knowledge graphs, which have recently garnered notable attention from both industry and academia. Knowledge graphs are founded on the principle of applying a graph-based abstraction to