Výsledky vyhledávání - "Sima Iranmanesh"

Akademický článek

Human-in-the-Loop Learning With LLMs for Efficient RASE Tagging in Building Compliance Regulations

Autor: Dhoyazan Al-Turki, Hansi Hettiarachchi, Mohamed Medhat Gaber, Mohammed M. Abdelsamea, Shadi Basurra, Sima Iranmanesh, Hadeel Saadany, Edlira Vakaj

Publikováno v: IEEE Access, Vol 12, Pp 185291-185306 (2024)

Automated compliance checking (ACC) in the Architecture, Engineering, and Construction (AEC) sector represents a pivotal task which is traditionally executed manually, demanding significant time and labor. This work investigates the automation of the

Externí odkaz: https://doaj.org/article/6d434dc84fec47069cc040a7f9068588

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RoleSim*: Scaling axiomatic role-based similarity ranking on large graphs

Autor: Aparajita Haldar, Maoyin Zhang, Sima Iranmanesh, Hakan Ferhatosmanoglu, Weiren Yu

Publikováno v: Yu, W, Iranmanesh, S, Haldar, A, Zhang, M & Ferhatosmanoglu, H 2022, ' RoleSim* : Scaling axiomatic role-based similarity ranking on large graphs ', World Wide Web, vol. 25, no. 2, pp. 785-829 . https://doi.org/10.1007/s11280-021-00925-z

RoleSim and SimRank are among the popular graph-theoretic similarity measures with many applications in, e.g., web search, collaborative filtering, and sociometry. While RoleSim addresses the automorphic (role) equivalence of pairwise similarity whic

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::48d237f2b588184b1ed1e3a7e21d3f67
https://doi.org/10.1007/s11280-021-00925-z

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An Axiomatic Role Similarity Measure Based on Graph Topology

Autor: Aparajita Haldar, Weiren Yu, Maoyin Zhang, Sima Iranmanesh, Hakan Ferhatosmanoglu

Publikováno v: Communications in Computer and Information Science ISBN: 9783030611323
SFDI/LSGDA@VLDB

RoleSim and SimRank are popular graph-theoretic similarity measures with many applications in, e.g., web search, collaborative filtering, and sociometry. While RoleSim addresses the automorphic (role) equivalence of pairwise similarity which SimRank

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::71fe85ce17ddd6c42791910ef919a231
https://doi.org/10.1007/978-3-030-61133-0_3

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Inferring gene regulatory network using path consistency algorithm based on conditional mutual information and genetic algorithm

Autor: Vahid Sattari-Naeini, Sima Iranmanesh, Behnam Ghavami

Publikováno v: 2017 7th International Conference on Computer and Knowledge Engineering (ICCKE).

The interactions between genes can be described in the form of an intrinsic and interwoven network called Gene Regulatory Network. Discovering this interaction and accurate modeling of Gene Regulatory Network is one of the key issues in understanding

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::72a52a37e54a7dbc812062872905eecf
https://doi.org/10.1109/iccke.2017.8167936

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