Zobrazeno 1 - 10
of 101
pro vyhledávání: '"Wassim El-Hajj"'
Publikováno v:
BMC Medical Informatics and Decision Making, Vol 22, Iss 1, Pp 1-20 (2022)
Abstract Background In the last decade, a lot of attention has been given to develop artificial intelligence (AI) solutions for mental health using machine learning. To build trust in AI applications, it is crucial for AI systems to provide for pract
Externí odkaz:
https://doaj.org/article/dbb00f069f444b1bafbfa48fceb45578
Publikováno v:
EURASIP Journal on Wireless Communications and Networking, Vol 2022, Iss 1, Pp 1-21 (2022)
Abstract A critical requirement in Mobile Ad Hoc Networks (MANETs) is its ability to automatically discover existing services as well as their locations. Several solutions have been proposed in various communication domains which could be classified
Externí odkaz:
https://doaj.org/article/1475c0be7f1a4058bec74a981b4ce852
Publikováno v:
ACM Transactions on Asian and Low-Resource Language Information Processing. 22:1-12
Learning response generation models constitute the main component of building open-domain dialogue systems. However, training open-domain response generation models requires large amounts of labeled data and pre-trained language generation models tha
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::97ba02c402e2087750d0cc67106cc372
https://doi.org/10.1145/3579164
https://doi.org/10.1145/3579164
Publikováno v:
ACM Transactions on Asian and Low-Resource Language Information Processing. 22:1-13
With the advances in Natural Language Processing (NLP), the industry has been moving towards human-directed artificial intelligence (AI) solutions. Recently, chatbots and automated news generation have captured a lot of attention. The goal is to auto
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3234b4f6a49546741aa3069089e1072b
https://doi.org/10.1145/3582262
https://doi.org/10.1145/3582262
Publikováno v:
ACM Transactions on Asian and Low-Resource Language Information Processing.
Dialogue generation is the automatic generation of a text response, given a user’s input. Dialogue generation for low-resource languages has been a challenging tasks for researchers. However, the advancements in deep learning models have made devel
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bdfc0c49ca050955df9d442d357f000f
https://doi.org/10.1145/3590960
https://doi.org/10.1145/3590960
Autor:
Peter Rogelj, Wassim El-Hajj-Chehade
Publikováno v:
International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems. 29:31-50
In this study, we focus on improving the efficiency and accuracy of nonrigid multi-modality registration of medical images. In this regard, we analyze the potentials of using the point similarity measurement approach as an alternative to global compu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::947ec83306dbb445b66fa1c28fae8f15
https://doi.org/10.1142/s021848852140002x
https://doi.org/10.1142/s021848852140002x
Autor:
Amir Hussein, Nada Ghneim, Mohammad A. M. Abushariah, Mourad Abbas, Mohamed Afify, Hazem Hajj, Assal Ali Mustafa Alqudah, Shammur Absar Chowdhury, Wassim El-Hajj, Ahmed Ali
Publikováno v:
Communications of the ACM. 64:124-129
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7800f56d4419b46686a99c4f3cccabe4
https://doi.org/10.1145/3451150
https://doi.org/10.1145/3451150
Publikováno v:
Vehicular Communications. 40:100571
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5247134194626a56820b5e07e189e40b
https://doi.org/10.1016/j.vehcom.2023.100571
https://doi.org/10.1016/j.vehcom.2023.100571
Publikováno v:
2022 International Wireless Communications and Mobile Computing (IWCMC).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::253b0c4516624d4d88ccaeaf76e44e4a
https://doi.org/10.1109/iwcmc55113.2022.9824490
https://doi.org/10.1109/iwcmc55113.2022.9824490
Publikováno v:
International Journal of Software Engineering and Knowledge Engineering. 30:1051-1078
In this paper, we address the problem of recognizing the semantic human activities through the analysis of large dataset collected from users’ sensor-based smartphones. Our approach is unique in terms of covering a large number of activities that u
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::263f7d603214787d2b99e5bdb35649f9
https://doi.org/10.1142/s021819402040015x
https://doi.org/10.1142/s021819402040015x