Výsledky vyhledávání - "Fatima Zahra Aazi"

Akademický článek

Acceptability of COVID-19 vaccination among health care workers: a cross-sectional survey in Morocco

Autor: Mohamed Khalis, Asmaa Hatim, Latifa Elmouden, Mory Diakite, Abdelghafour Marfak, Soukaina Ait El Haj, Rachid Farah, Mohamed Jidar, Kaba Kanko Conde, Kenza Hassouni, Hafida Charaka, Mark Lacy, Fatima-Zahra Aazi, Chakib Nejjari

Publikováno v: Human Vaccines & Immunotherapeutics, Vol 17, Iss 12, Pp 5076-5081 (2021)

Introduction This study aimed to evaluate the acceptability of COVID-19 vaccination among health care workers prior to the start of the COVID-19 vaccination campaign in Morocco. Methods This cross-sectional study was conducted in the Cheikh Khalifa U

Externí odkaz: https://doaj.org/article/8152e48c23b24c6891574ab4ecf2f6b3

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Akademický článek

COVID-19 Vaccination Acceptance among Health Science Students in Morocco: A Cross-Sectional Study

Autor: Mohamed Khalis, Mouna Boucham, Amy Luo, Abdelghafour Marfak, Soukaina Saad, Camara Mariama Aboubacar, Soukaina Ait El Haj, Manar Jallal, Fatima-Zahra Aazi, Hafida Charaka, Chakib Nejjari

Publikováno v: Vaccines, Vol 9, Iss 12, p 1451 (2021)

While students in the health sciences occupy pivotal roles in the Moroccan COVID-19 response and vaccination campaigns, factors associated with COVID-19 vaccine acceptability among students have not been reported. This study aimed to determine the wi

Externí odkaz: https://doaj.org/article/62ce9e0deaed4db183cbd24a37638b7e

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Gender differences in IT entrepreneurship: comparing the entrepreneurial intention/behavior in the pre and post-implementation phases

Autor: Nadia LAARAJ, Fatima Zahra AAZI, Abderrahim LAACHACH

Publikováno v: International Journal of Accounting, Finance, Auditing, Management and Economics; Vol. 3 No. 3-2 (2022): Empirical research; 193-208
International Journal of Accounting, Finance, Auditing, Management and Economics; Vol. 3 No. 3-2 (2022): Recherches Empiriques; 193-208

Actuellement, le nombre de femmes entrepreneures qui créent des entreprises est en augmentation. Les femmes gèrent entre un quart et un tiers des entreprises de l'économie formelle dans le monde. Au Maroc, les femmes entrepreneures représentent 1

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::60b08a8e53dada4b9e4ccb04d835bc7a
https://www.ijafame.org/index.php/ijafame/article/view/614

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Feature selection for multiclass support vector machines

Autor: Fatima Zahra Aazi, Boujemâa Achchab, Rafik Abdesselam, Abdeljalil Elouardighi

Publikováno v: AI Communications
AI Communications, IOS Press, 2016, 29 (5), pp.583-593. ⟨10.3233/AIC-160707⟩

International audience; In this paper, we present and evaluate a novel method for feature selection for Multiclass Support Vector Machines (MSVM). It consists in determining the relevant features using an upper bound of generalization error proper to

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e082f9a9a479c9121db7d04f2d75def9
https://doi.org/10.3233/aic-160707

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A machine Learning approach for sentiment analysis in the standard or dialectal Arabic Facebook comments

Autor: Fatima-zahra Aazi, Hafdalla Hammia, Mohcine Maghfour, Abdeljalil Elouardighi

Publikováno v: 2017 3rd International Conference of Cloud Computing Technologies and Applications (CloudTech).

Social networks like Facebook contain an enormous amount of data, called Big Data. Extracting valuable information and trends from these data allows a better understanding and decision-making. In general, there are two categories of approaches to add

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::b2dec46a71c1a9d50e935b65f9b555b5
https://doi.org/10.1109/cloudtech.2017.8284706

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Comparison of proximity measures for a topological discrimination

Autor: Fatima Zahra Aazi, Rafik Abdesselam

Publikováno v: Studies in Computational Intelligence 665, Volume 6, Advances in Knowledge Discovery and Management, Springer
Studies in Computational Intelligence 665, Volume 6, Advances in Knowledge Discovery and Management, Springer, 2016
Advances in Knowledge Discovery and Management ISBN: 9783319457628
EGC (best of volume)

The results of any operation of clustering or classification of objects strongly depend on the proximity measure chosen. The user has to select one measure among many existing ones. Yet, according to the notion of topological equivalence chosen, some

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::159f252537f0188e07fae56db5b53fe5
https://hal.archives-ouvertes.fr/hal-02937793

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