Zobrazeno 1 - 10
of 63
pro vyhledávání: '"Razzaghi, Parvin"'
The protein-ligand binding affinity (PLA) prediction goal is to predict whether or not the ligand could bind to a protein sequence. Recently, in PLA prediction, deep learning has received much attention. Two steps are involved in deep learning-based
Externí odkaz:
http://arxiv.org/abs/2405.07452
Detection of out-of-distribution samples is one of the critical tasks for real-world applications of computer vision. The advancement of deep learning has enabled us to analyze real-world data which contain unexplained samples, accentuating the need
Externí odkaz:
http://arxiv.org/abs/2210.13917
This paper considers the task of matching images and sentences by learning a visual-textual embedding space for cross-modal retrieval. Finding such a space is a challenging task since the features and representations of text and image are not compara
Externí odkaz:
http://arxiv.org/abs/2002.10016
Publikováno v:
In Expert Systems With Applications 1 December 2023 232
Publikováno v:
Nature Switzerland AG - Springer LNDECT 45(2020) 322-336
Nowadays, automobile manufacturers make efforts to develop ways to make cars fully safe. Monitoring driver's actions by computer vision techniques to detect driving mistakes in real-time and then planning for autonomous driving to avoid vehicle colli
Externí odkaz:
http://arxiv.org/abs/1812.03953
Publikováno v:
In Applied Soft Computing Journal November 2022 129
Autor:
Razzaghi, Parvin
In this paper, a new approach for classification of target task using limited labeled target data as well as enormous unlabeled source data is proposed which is called self-taught learning. The target and source data can be drawn from different distr
Externí odkaz:
http://arxiv.org/abs/1710.04450
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:
In Expert Systems With Applications 1 October 2021 179
Autor:
Abbasi, Karim, Razzaghi, Parvin
Publikováno v:
In Expert Systems With Applications 1 December 2020 160