Zobrazeno 1 - 10
of 27
pro vyhledávání: '"Hamman Samuel"'
Publikováno v:
Applied Sciences, Vol 10, Iss 17, p 5811 (2020)
This is a systematic review of over one hundred research papers about machine learning methods applied to defensive and offensive cybersecurity. In contrast to previous reviews, which focused on several fragments of research topics in this area, this
Externí odkaz:
https://doaj.org/article/0ee137d062154f5dbaa127ebdb3f7fd8
Publikováno v:
2022 IEEE Intl Conf on Dependable, Autonomic and Secure Computing, Intl Conf on Pervasive Intelligence and Computing, Intl Conf on Cloud and Big Data Computing, Intl Conf on Cyber Science and Technology Congress (DASC/PiCom/CBDCom/CyberSciTech).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::36f4ba4023784273becf7715cc19b8ea
https://doi.org/10.1109/dasc/picom/cbdcom/cy55231.2022.9927942
https://doi.org/10.1109/dasc/picom/cbdcom/cy55231.2022.9927942
Autor:
Abhishek Dhankar, Hamman Samuel, Fahim Hassan, Nawshad Farruque, Francois Bolduc, Osmar Zaiane
Publikováno v:
2021 IEEE 33rd International Conference on Tools with Artificial Intelligence (ICTAI).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cb32f3ac33ce9eeafafa409bb16f8baf
https://doi.org/10.1109/ictai52525.2021.00141
https://doi.org/10.1109/ictai52525.2021.00141
Autor:
Randy Goebel, Sankalp Prabharkar, Hamman Samuel, Osmar R. Zaïane, Luke Kumar, Mohomed Shazan Mohomed Jabbar, Mi-Young Kim
Publikováno v:
ICDLT
Duplicate question detection is an ongoing challenge in community question answering because semantically equivalent questions can have significantly different words and structures. The identification of duplicate questions can reduce the resources r
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4fa1c02a14a19da43afc86766c724ed7
https://doi.org/10.1145/3480001.3480021
https://doi.org/10.1145/3480001.3480021
Publikováno v:
ICMHI
In this research, we present an evaluation of a system for detection of health misinformation using applied machine learning. The system incorporates computing automation, information retrieval, and natural language processing in conjunction with evi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f9e2eccbe92de4159ece9cd9ea1e503f
https://doi.org/10.1145/3472813.3472814
https://doi.org/10.1145/3472813.3472814
Publikováno v:
Sustainability
Volume 13
Issue 9
Sustainability, Vol 13, Iss 4986, p 4986 (2021)
Volume 13
Issue 9
Sustainability, Vol 13, Iss 4986, p 4986 (2021)
In this study, we qualitatively and quantitatively examine the effects of COVID-19 on classrooms, students, and educators. Using a new Twitter dataset specific to South Korea during the pandemic, we sample the sentiment and strain on students and edu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::752d932c48bb5993c875034f05af2143
Publikováno v:
HEALTHINF
Health social media is frequently used by e-patients for seeking health information online for self-diagnosis, self-treatment, and self-education Health social media also provides various benefits for patients and laypersons, such as allowing users t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cece8bee74e96e7696e9f1ba248d050c
https://doi.org/10.5220/0010325806370644
https://doi.org/10.5220/0010325806370644
Publikováno v:
WI
In this ongoing work, we present the Grebe social data aggregation framework for extracting geo-fenced Twitter data for analysis of user engagement in health and wellness topics. Grebe also provides various visualization tools for analyzing temporal
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::60559e1af1f7d2ee6a1c24f2cc5bb2b0
https://doi.org/10.1109/wi.2018.00-85
https://doi.org/10.1109/wi.2018.00-85
Publikováno v:
Applied Sciences, Vol 10, Iss 5811, p 5811 (2020)
This is a systematic review of over one hundred research papers about machine learning methods applied to defensive and offensive cybersecurity. In contrast to previous reviews, which focused on several fragments of research topics in this area, this
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::62b69a89ee240f3646b14aa9e1d531eb
https://doi.org/10.3390/app10175811
https://doi.org/10.3390/app10175811
Publikováno v:
SPML
Cross-site scripting (XSS) is a scripting attack targeting web applications by injecting malicious scripts into web pages. Blind XSS is a subset of stored XSS, where an attacker blindly deploys malicious payloads in web pages that are stored in a per
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::94e67b73e17c26f290df6187629fe548
https://doi.org/10.1145/3297067.3297096
https://doi.org/10.1145/3297067.3297096