Zobrazeno 1 - 10
of 35
pro vyhledávání: '"Arash Vahdat"'
Publikováno v:
Iranian Journal of Psychiatry, Vol 2, Iss 2, Pp 78-81 (2007)
Objective: The objective of this study is to examine Eysenck personality dimensions in cannabis users Method:100 regular cannabis users were selected and completed Eysenck Personality Questionnaire (EPQ) which easures Neuroticism (N),Extraversion-In
Externí odkaz:
https://doaj.org/article/fc40029c0066423698c65851d258b2ab
Autor:
Maxim Zvyagin, Alexander Brace, Kyle Hippe, Yuntian Deng, Bin Zhang, Cindy Orozco Bohorquez, Austin Clyde, Bharat Kale, Danilo Perez-Rivera, Heng Ma, Carla M. Mann, Michael Irvin, J. Gregory Pauloski, Logan Ward, Valerie Hayot-Sasson, Murali Emani, Sam Foreman, Zhen Xie, Diangen Lin, Maulik Shukla, Weili Nie, Josh Romero, Christian Dallago, Arash Vahdat, Chaowei Xiao, Thomas Gibbs, Ian Foster, James J. Davis, Michael E. Papka, Thomas Brettin, Rick Stevens, Anima Anandkumar, Venkatram Vishwanath, Arvind Ramanathan
We seek to transform how new and emergent variants of pandemiccausing viruses, specifically SARS-CoV-2, are identified and classified. By adapting large language models (LLMs) for genomic data, we build genome-scale language models (GenSLMs) which ca
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::eeb3062847bc49934d638fc48a21a278
https://doi.org/10.1101/2022.10.10.511571
https://doi.org/10.1101/2022.10.10.511571
Publikováno v:
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783031197741
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fb995125d7c0a28cd835dfa5435cbd72
https://doi.org/10.1007/978-3-031-19775-8_9
https://doi.org/10.1007/978-3-031-19775-8_9
Publikováno v:
Australasian Marketing Journal. 29:187-197
This study investigates how technology acceptance model (TAM) factors and social factors determine customer purchase intention. Although previous studies on mobile apps have investigated TAM, critical social factors have been neglected, thus, reinfor
Publikováno v:
Services Marketing Quarterly. 41:236-255
This study aims to investigate how emotional brand attachment contributes to attitude toward brand extension. Data were collected from 1236 users of Apple and Samsung Smartphones using structured q...
Publikováno v:
CVPR
Training deep neural networks requires gradient estimation from data batches to update parameters. Gradients per parameter are averaged over a set of data and this has been presumed to be safe for privacy-preserving training in joint, collaborative,
Publikováno v:
Organization Management Journal. 16:220-234
The current study aims to investigate the effect of strategic consensus among managers on organizational performance, with an emphasis on shared leadership and communications in Iranian knowledge-i...
Publikováno v:
Computer Vision – ECCV 2020 ISBN: 9783030585792
ECCV (3)
ECCV (3)
Phrase grounding, the problem of associating image regions to caption words, is a crucial component of vision-language tasks. We show that phrase grounding can be learned by optimizing word-region attention to maximize a lower bound on mutual informa
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::edd018393242b0b930cb952d78f5fc8b
https://doi.org/10.1007/978-3-030-58580-8_44
https://doi.org/10.1007/978-3-030-58580-8_44
Publikováno v:
ICCV
Domain shift is unavoidable in real-world applications of object detection. For example, in self-driving cars, the target domain consists of unconstrained road environments which cannot all possibly be observed in training data. Similarly, in surveil
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ad4ac167abd8aad05469cbb04a3a8e38
http://arxiv.org/abs/1904.02361
http://arxiv.org/abs/1904.02361