Výsledky vyhledávání - "Seyed Alireza Mousavian Anaraki"

Soft and hard hybrid balanced clustering with innovative qualitative balancing approach

Autor: Seyed Alireza Mousavian Anaraki, Abdorrahman Haeri

Publikováno v: Information Sciences. 613:786-805

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::443527a4fffd93a2dfd75d3e8331716f
https://doi.org/10.1016/j.ins.2022.09.044

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Generating balanced and strong clusters based on balance-constrained clustering approach (strong balance-constrained clustering) for improving ensemble classifier performance

Autor: Seyed Alireza Mousavian Anaraki, Abdorrahman Haeri, Fateme Moslehi

Publikováno v: Neural Computing and Applications. 34:21139-21155

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::4e6a9eb4fb94224dad89f18609490862
https://doi.org/10.1007/s00521-022-07595-6

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A hybrid reciprocal model of PCA and K-means with an innovative approach of considering sub-datasets for the improvement of K-means initialization and step-by-step labeling to create clusters with high interpretability

Autor: Abdorrahman Haeri, Fateme Moslehi, Seyed Alireza Mousavian Anaraki

Publikováno v: Pattern Analysis and Applications. 24:1387-1402

The K-means algorithm is a popular clustering method, which is sensitive to the initialization of samples and selecting the number of clusters. Its performance on high-dimensional datasets is considerably influenced. Principal component analysis (PCA

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::6f8ee324f63f39c905794443dcd6efc6
https://doi.org/10.1007/s10044-021-00977-x

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Blood plasma supply chain planning to respond COVID-19 pandemic: a case study

Autor: Ali Fallahi, Seyed Alireza Mousavian Anaraki, Hadi Mokhtari, Seyed Taghi Akhavan Niaki

Publikováno v: Environment, development and sustainability.

The COVID-19 pandemic causes a severe threat to human lives worldwide. Convalescent plasma as supportive care for COVID-19 is critical in reducing the death rate and staying in hospitals. Designing an efficient supply chain network capable of managin

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d1580a33d82668ad16d3604d6bf8a2b7
https://pubmed.ncbi.nlm.nih.gov/36530360

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Akademický článek

Blood plasma supply chain planning to respond COVID-19 pandemic: a case study.

Autor: Fallahi, Ali¹ (AUTHOR), Mousavian Anaraki, Seyed Alireza² (AUTHOR), Mokhtari, Hadi³ (AUTHOR) Mokhtari_ie@kashanu.ac.ir, Niaki, Seyed Taghi Akhavan¹ (AUTHOR)

Publikováno v: Environment, Development & Sustainability. Jan2024, Vol. 26 Issue 1, p1965-2016. 52p.

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Akademický článek

Generating balanced and strong clusters based on balance-constrained clustering approach (strong balance-constrained clustering) for improving ensemble classifier performance.

Autor: Mousavian Anaraki, Seyed Alireza¹ (AUTHOR), Haeri, Abdorrahman¹ (AUTHOR) ahaeri@iust.ac.ir, Moslehi, Fateme¹ (AUTHOR)

Publikováno v: Neural Computing & Applications. Dec2022, Vol. 34 Issue 23, p21139-21155. 17p.

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Akademický článek

Providing a Hybrid Clustering Method as an Auxiliary System in Automatic Labeling to Divide Employee Into Different Levels of Productivity and Their Retention.

Autor: Anaraki, Seyed Alireza Mousavian¹, Haeri, Abdorrahman¹ ahaeri@iust.ac.ir, Moslehi, Fateme¹

Publikováno v: Iranian Journal of Management Studies. Spring2022, Vol. 15 Issue 2, p207-226. 20p.

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Akademický článek

Autor: Mousavian Anaraki, Seyed Alireza, Haeri, Abdorrahman, Moslehi, Fateme

Publikováno v: Pattern Analysis & Applications; Aug2021, Vol. 24 Issue 3, p1387-1402, 16p

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