Zobrazeno 1 - 10
of 19
pro vyhledávání: '"Soroosh Shalileh"'
Publikováno v:
IEEE Access, Vol 12, Pp 145832-145844 (2024)
Studying first-language (L1), second-language (L2) acquisition, and bilingualism using eye movement data has become a popular topic in psycholinguistic and educational research communities. The current research uses eye fixation data along with demog
Externí odkaz:
https://doaj.org/article/544f543cdbab41b3874de1e1cf022b03
Publikováno v:
PLoS ONE, Vol 18, Iss 11, p e0292047 (2023)
This paper represents our research results in the pursuit of the following objectives: (i) to introduce a novel multi-sources data set to tackle the shortcomings of the previous data sets, (ii) to propose a robust artificial intelligence-based soluti
Externí odkaz:
https://doaj.org/article/27dd6a92a7e045d39d3cf98bb5874295
Autor:
Soroosh Shalileh
Publikováno v:
Mathematics, Vol 11, Iss 12, p 2617 (2023)
Enhancing the effectiveness of clustering methods has always been of great interest. Therefore, inspired by the success story of the gradient descent approach in supervised learning in the current research, we proposed an effective clustering method
Externí odkaz:
https://doaj.org/article/f1b994da944d4e5aaea7e8e2dcb1ce0f
Autor:
Soroosh Shalileh, Boris Mirkin
Publikováno v:
PLoS ONE, Vol 16, Iss 7, p e0254377 (2021)
We explore a doubly-greedy approach to the issue of community detection in feature-rich networks. According to this approach, both the network and feature data are straightforwardly recovered from the underlying unknown non-overlapping communities, s
Externí odkaz:
https://doaj.org/article/d93a00a917b64d39a6a3f6d18cadbc80
Autor:
Soroosh Shalileh, Boris Mirkin
Publikováno v:
Entropy, Vol 24, Iss 5, p 626 (2022)
This paper proposes a meaningful and effective extension of the celebrated K-means algorithm to detect communities in feature-rich networks, due to our assumption of non-summability mode. We least-squares approximate given matrices of inter-node link
Externí odkaz:
https://doaj.org/article/44dee3d27866422e9844ae03be86f0eb
Autor:
Boris Mirkin, Soroosh Shalileh
Publikováno v:
Journal of Classification. 39:432-462
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7591946586e0961539ed4b0e36fe0212
https://doi.org/10.1007/s00357-022-09416-w
https://doi.org/10.1007/s00357-022-09416-w
Autor:
Boris Mirkin, Soroosh Shalileh
Publikováno v:
Complex Networks & Their Applications X ISBN: 9783030934088
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::139950fdfcb644bdd87b41c96feb9d01
https://doi.org/10.1007/978-3-030-93409-5_24
https://doi.org/10.1007/978-3-030-93409-5_24
Autor:
Boris Mirkin, Soroosh Shalileh
Publikováno v:
Proceedings of the 2021 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::04700d8860bb4fdeb044e5bb5cdaed29
https://doi.org/10.1145/3487351.3488356
https://doi.org/10.1145/3487351.3488356
Autor:
Boris Mirkin, Soroosh Shalileh
Publikováno v:
Social Network Analysis and Mining. 11
A feature-rich network is a network whose nodes are characterized by categorical or quantitative features. We propose a data-driven model for finding a partition of the nodes to approximate both the network link data and the feature data. The model i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b3cde7ed2ca0f29bd5791e222d7ba2ac
https://doi.org/10.1007/s13278-021-00774-8
https://doi.org/10.1007/s13278-021-00774-8
Autor:
Soroosh Shalileh, Boris Mirkin
Publikováno v:
Intelligent Data Engineering and Automated Learning – IDEAL 2021 ISBN: 9783030916077
Intelligent Data Engineering and Automated Learning – IDEAL 2021
Intelligent Data Engineering and Automated Learning – IDEAL 2021
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b6f267b378c3b9f6723454bdda06350a
https://doi.org/10.1007/978-3-030-91608-4_53
https://doi.org/10.1007/978-3-030-91608-4_53