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Akademický článek

Segmentation of patients with small cell lung cancer into responders and non-responders using the optimal cross-validation technique

Autor: Elham Majd, Li Xing, Xuekui Zhang

Publikováno v: BMC Medical Research Methodology, Vol 24, Iss 1, Pp 1-11 (2024)

Abstract Background The timing of treating cancer patients is an essential factor in the efficacy of treatment. So, patients who will not respond to current therapy should receive a different treatment as early as possible. Machine learning models ca

Externí odkaz: https://doaj.org/article/8e1eef4fda3f48eabcf9f4dde45abdaf

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Akademický článek

A Systematic Evaluation of Supervised Machine Learning Algorithms for Cell Phenotype Classification Using Single-Cell RNA Sequencing Data

Autor: Xiaowen Cao, Li Xing, Elham Majd, Hua He, Junhua Gu, Xuekui Zhang

Publikováno v: Frontiers in Genetics, Vol 13 (2022)

The new technology of single-cell RNA sequencing (scRNA-seq) can yield valuable insights into gene expression and give critical information about the cellular compositions of complex tissues. In recent years, vast numbers of scRNA-seq datasets have b

Externí odkaz: https://doaj.org/article/0bdd609791044f43be6eaa4ea03bad6d

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Akademický článek

A reputation-oriented trust model for multi-agent environments

Autor: Elham Majd, Vimala Balakrishnan

Publikováno v: Industrial Management & Data Systems, 2016, Vol. 116, Issue 7, pp. 1380-1396.

Externí odkaz: http://www.emeraldinsight.com/doi/10.1108/IMDS-06-2015-0256

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An incorporated RUU model for multi-agent systems in e-commerce

Autor: Elham Majd, Mark Hobson

Publikováno v: Journal of Enterprise Information Management. 33:905-921

PurposeThe purpose of this paper is to enhance trust in e-commerce multi-agent systems by presenting a model, called RUU, to select the most trustworthy provider agent based on learning from previous interactions and computing reliability, unreliabil

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::99d931b96793eb5d9b44c73bbdc3de7d
https://doi.org/10.1108/jeim-09-2019-0278

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A systematic evaluation of methods for cell phenotype classification using single-cell RNA sequencing data

Autor: Hua He, Li Xing, Xiaowen Cao, Xuekui Zhang, Elham Majd, Junhua Gu

Background: Single-cell RNA sequencing (scRNA-seq) yields valuable insights about gene expression and gives critical information about complex tissue cellular composition. In the analysis of single-cell RNA sequencing, the annotations of cell subtype

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6d26466f2a7915138b0b25808ef1a38e

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Selecting the reliable supplier by using the advisor agents

Autor: Elham Majd, Vimala Balakrishnan, Vahid Godazgar

Publikováno v: Journal of Business & Industrial Marketing. 32:238-250

Purpose This paper aims to enhance the successful interaction between buyers and suppliers who use intelligent agents by presenting a computational model to detect the most reliable supplier agent according to advice of an advisor agent. Design/metho

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::8682267386e83e82cfb3e04aac5ec057
https://doi.org/10.1108/jbim-01-2015-0010

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Selecting advisor agents using reliability, reputation and risks

Autor: Elham Majd, Vimala Balakrishnan

Publikováno v: Journal of Intelligent & Fuzzy Systems. 29:1835-1846

This paper presents an enhanced trust model for evaluating and selecting trustworthy advisor agents in multi-agent systems. In particular, the study proposes a computational trust model based on three main components, reliability, reputation and risk

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::4b540180619483291fdeb511d24e06d6
https://doi.org/10.3233/ifs-151662

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Calculating the Reliability and Reputation of Agents in E-Commerce Multi-Agent Environments

Autor: Masoumeh Feyz Abadi, Sousan Gharib, Leili Shakeri, Elham Majd, Katayoon Pourmahdi, Vimala Balakrishnan

Publikováno v: Applied Mechanics and Materials. :1478-1482

E-commerce multi-agent systems have some features of autonomy and commercial transaction that improve rapidly and become a powerful tool for buying and selling products online. While multi-agent systems can break interactions in distributed and heter

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::da43e05c7c51501614b9470a4985d673
https://doi.org/10.4028/www.scientific.net/amm.548-549.1478

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A TRUST MODEL FOR ADVISOR NETWORKS IN MULTI-AGENT ENVIRONMENTS

Autor: ELHAM MAJD

Multi-agent systems can break interactions in distributed and heterogeneousenvironments.One of the fundamental challenges in such settings is that agents canenter and leave the system at will; hence malicious agents may take advantage of othersby beh

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::0b3ee63073729d2582214836dc5027b0

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