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pro vyhledávání: '"JALALI, MOHAMMAD"'
Text-conditioned generation models are commonly evaluated based on the quality of the generated data and its alignment with the input text prompt. On the other hand, several applications of prompt-based generative models require sufficient diversity
Externí odkaz:
http://arxiv.org/abs/2411.02817
Autor:
Ospanov, Azim, Zhang, Jingwei, Jalali, Mohammad, Cao, Xuenan, Bogdanov, Andrej, Farnia, Farzan
While standard evaluation scores for generative models are mostly reference-based, a reference-dependent assessment of generative models could be generally difficult due to the unavailability of applicable reference datasets. Recently, the reference-
Externí odkaz:
http://arxiv.org/abs/2407.02961
An interpretable comparison of generative models requires the identification of sample types produced more frequently by each of the involved models. While several quantitative scores have been proposed in the literature to rank different generative
Externí odkaz:
http://arxiv.org/abs/2405.02700
Autor:
Li, Peiyi, Luo, Yunmei, Yu, Xuexin, Wen, Jin, Mason, Elizabeth, Li, Weimin, Jalali, Mohammad S
Publikováno v:
Journal of Medical Internet Research, Vol 22, Iss 6, p e17221 (2020)
BackgroundAs an innovative approach to providing web-based health care services from physical hospitals to patients at a distance, e-hospitals (ie, extended care hospitals through the internet) have been extensively developed in China. This closed he
Externí odkaz:
https://doaj.org/article/19cdf2f238704730a119f5e331b712e9
Publikováno v:
Journal of Medical Internet Research, Vol 22, Iss 1, p e16775 (2020)
BackgroundHospitals have been one of the major targets for phishing attacks. Despite efforts to improve information security compliance, hospitals still significantly suffer from such attacks, impacting the quality of care and the safety of patients.
Externí odkaz:
https://doaj.org/article/e42b59b74ed64156be6317bcdcbcbbd7
Autor:
Heydari, Saman1 (AUTHOR), Barzegar-Jalali, Mohammad2 (AUTHOR), Heydari, Mostafa3 (AUTHOR), Radmehr, Afsaneh4 (AUTHOR), Paiva-Santos, Ana Cláudia5,6 (AUTHOR), Kouhsoltani, Maryam7 (AUTHOR), Hamishehkar, Hamed8 (AUTHOR) hamishehkar.hamed@gmail.com
Publikováno v:
BioImpacts. Nov2024, Vol. 14 Issue 6, p1-9. 9p.
Autor:
Mosallanezhad, Zahra1 (AUTHOR), Jalali, Mohammad1 (AUTHOR), Clark, Cain C. T.2 (AUTHOR), Zibaeenezhad, Mohammad Javad3 (AUTHOR), Nouri, Mehran4 (AUTHOR), Mohammadi, Seyyed Saeed3 (AUTHOR), Sayadi, Mehrab3 (AUTHOR), Razeghian-Jahromi, Iman3 (AUTHOR), Parsa, Nader3 (AUTHOR), Zibaeenejad, Fatemeh3 (AUTHOR), Sohrabi, Zahra1 (AUTHOR) zahra_2043@yahoo.com
Publikováno v:
BMC Public Health. 10/29/2024, Vol. 24 Issue 1, p1-7. 7p.
Autor:
Liao, Che-Yi, Garcia, Gian-Gabriel, Paynabar, Kamran, Dong, Zheng, Xie, Yao, Jalali, Mohammad S.
We develop a Spatio-TEMporal Mutually Exciting point process with Dynamic network (STEMMED), i.e., a point process network wherein each node models a unique community-drug event stream with a dynamic mutually-exciting structure, accounting for influe
Externí odkaz:
http://arxiv.org/abs/2211.07570
Autor:
Lim, Tse Yang, Dong, Huiru, Stringfellow, Erin, Hasgul, Zeynep, Park, Ju, Glos, Lukas, Kazemi, Reza, Jalali, Mohammad S.
Publikováno v:
In The Lancet Regional Health - Americas November 2024 39