Zobrazeno 1 - 10
of 44
pro vyhledávání: '"Mohamed Bouguessa"'
Publikováno v:
Proceedings of the 2023 SIAM International Conference on Data Mining (SDM) ISBN: 9781611977653
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::67ed5ba2aeffeb333ff71fe2f925a175
https://doi.org/10.1137/1.9781611977653.ch12
https://doi.org/10.1137/1.9781611977653.ch12
Autor:
Mohamed Bouguessa, Eman Bashir
Publikováno v:
International Journal of Information Technology and Computer Science. 13:41-50
Broadly cyberbullying is viewed as a severe social danger that influences many individuals around the globe, particularly young people and teenagers. The Arabic world has embraced technology and continues using it in different ways to communicate ins
Publikováno v:
2022 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM).
Publikováno v:
ACM Transactions on Intelligent Systems and Technology. 12:1-26
Most existing approaches for electricity load forecasting perform the task based on overall electricity consumption. However, using such a global methodology can affect load forecasting accuracy, as it does not consider the possibility that customers
We devise a graph attention network-based approach for learning a scene triangle mesh representation in order to estimate an image camera position in a dynamic environment. Previous approaches built a scene-dependent model that explicitly or implicit
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7c53ea2ce13f09d7b96193d85377bf73
http://arxiv.org/abs/2209.15056
http://arxiv.org/abs/2209.15056
Publikováno v:
2022 International Joint Conference on Neural Networks (IJCNN).
Publikováno v:
2022 IEEE 46th Annual Computers, Software, and Applications Conference (COMPSAC).
Autor:
Khaled Nouri, Mohamed Bouguessa
Publikováno v:
ACM Transactions on Intelligent Systems and Technology. 12:1-26
We investigate the problem of community detection in bipartite networks that are characterized by the presence of two types of nodes such that connections exist only between nodes of different types. While some approaches have been proposed to identi
We investigate the problem of discovering and modeling regime shifts in an ecosystem comprising multiple time series known as co-evolving time series. Regime shifts refer to the changing behaviors exhibited by series at different time intervals. Lear
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8ff0a82a617bdb5db15aa062dc98d11b
http://arxiv.org/abs/2109.09692
http://arxiv.org/abs/2109.09692
Most recent graph clustering methods have resorted to Graph Auto-Encoders (GAEs) to perform joint clustering and embedding learning. However, two critical issues have been overlooked. First, the accumulative error, inflicted by learning with noisy cl
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b64f611a964194274435b8a9aa05cda3
http://arxiv.org/abs/2107.08562
http://arxiv.org/abs/2107.08562