Zobrazeno 1 - 10
of 16
pro vyhledávání: '"Baharan Mirzasoleiman"'
Autor:
Baharan Mirzasoleiman, Mahdi Jalili
Publikováno v:
PLoS ONE, Vol 6, Iss 5, p e20512 (2011)
Complex networks serve as generic models for many biological systems that have been shown to share a number of common structural properties such as power-law degree distribution and small-worldness. Real-world networks are composed of building blocks
Externí odkaz:
https://doaj.org/article/5bfc5562e137415ca76fe2160801ae46
Autor:
Krishna P. Gummadi, Adish Singla, Junaid Ali, Abhijnan Chakraborty, Mahmoudreza Babaei, Baharan Mirzasoleiman
Publikováno v:
IEEE Transactions on Knowledge and Data Engineering
Influence maximization has found applications in a wide range of real-world problems, for instance, viral marketing of products in an online social network, and information propagation of valuable information such as job vacancy advertisements and he
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::707eba42885c3e4675655dd1f6bdb311
https://hdl.handle.net/21.11116/0000-000C-B657-521.11116/0000-000C-B659-3
https://hdl.handle.net/21.11116/0000-000C-B657-521.11116/0000-000C-B659-3
Autor:
Shayan Fazeli, Lionel Levine, Mehrab Beikzadeh, Baharan Mirzasoleiman, Bita Zadeh, Tara Peris, Majid Sarrafzadeh
Publikováno v:
2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).
Autor:
Junaid Ali, Mahmoudreza Babaei, Abhijnan Chakraborty, Baharan Mirzasoleiman, Krishna P. Gummadi, Adish Singla
Publikováno v:
2022 IEEE 38th International Conference on Data Engineering (ICDE).
Publikováno v:
Companion Proceedings of the Web Conference 2022.
Publikováno v:
Social Network Analysis and Mining. 3:1249-1262
Social networking has become a part of daily life for many individuals across the world. Widespread adoption of various strategies in such networks can be utilized by business corporations as a powerful means for advertising. In this study, we invest
Publikováno v:
KDD
How can one summarize a massive data set "on the fly", i.e., without even having seen it in its entirety? In this paper, we address the problem of extracting representative elements from a large stream of data. I.e., we would like to select a subset
Publikováno v:
Distributed Submodular Maximization: Identifying Representative Elements in Massive Data.
Publikováno v:
Active Learning for Level Set Estimation.