Zobrazeno 1 - 10
of 20
pro vyhledávání: '"Sandouk, Ubai"'
Publikováno v:
IEEE Access, vol. 12, pp. 157140-157148, Oct. 25, 2024
The deployment of artificial intelligence (AI) in decision-making applications requires ensuring an appropriate level of safety and reliability, particularly in changing environments that contain a large number of unknown observations. To address thi
Externí odkaz:
http://arxiv.org/abs/2407.19860
Autor:
Sandouk, Ubai, Chen, Ke
Zero Shot Learning (ZSL) enables a learning model to classify instances of an unseen class during training. While most research in ZSL focuses on single-label classification, few studies have been done in multi-label ZSL, where an instance is associa
Externí odkaz:
http://arxiv.org/abs/1606.00282
Autor:
Sandouk, Ubai, Chen, Ke
One of the biggest challenges in Multimedia information retrieval and understanding is to bridge the semantic gap by properly modeling concept semantics in context. The presence of out of vocabulary (OOV) concepts exacerbates this difficulty. To addr
Externí odkaz:
http://arxiv.org/abs/1506.05514
Autor:
Sandouk, Ubai, Chen, Ke
Music information retrieval faces a challenge in modeling contextualized musical concepts formulated by a set of co-occurring tags. In this paper, we investigate the suitability of our recently proposed approach based on a Siamese neural network in f
Externí odkaz:
http://arxiv.org/abs/1504.07968
Autor:
Sandouk, Ubai, Chen, Ke
Publikováno v:
In Neural Networks April 2016 76:65-96
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
Publikováno v:
Machine Learning & Knowledge Discovery in Databases: European Conference, ECML PKDD 2016, Riva del Garda, Italy, September 19-23, 2016, Proceedings, Part II; 2016, p347-360, 14p
Autor:
Sandouk, Ubai, Chen, Ke
Publikováno v:
ACM Transactions on Intelligent Systems & Technology; Oct2016, Vol. 8 Issue 2, p1-21, 21p
Publikováno v:
Machine Learning & Knowledge Discovery in Databases: European Conference, ECML PKDD 2016, Riva del Garda, Italy, September 19-23, 2016, Proceedings, Part II; 2016, p821-825, 5p
Publikováno v:
Machine Learning & Knowledge Discovery in Databases: European Conference, ECML PKDD 2016, Riva del Garda, Italy, September 19-23, 2016, Proceedings, Part I; 2016, p813-817, 5p