‪Peyman Rostami‬ - ‪Google Scholar‬

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Citata da

	Tutte	Dal 2019
Citazioni	70	70
Indice H	4	4
i10-index	2	2

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16

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Coautori

Mahmood NeshatiAssistant Professor of Software Engineering, Shahid Beheshti UniversityEmail verificata su sbu.ac.ir
Azadeh ShakeryAssociate Professor, Electrical and Computer Engineering Department, University of TehranEmail verificata su ut.ac.ir
Sajad SotudehGeorgetown UniversityEmail verificata su ir.cs.georgetown.edu

Peyman Rostami

Peyman Rostami

PhD Candidate, Electrical and Computer Engineering Department, University of Tehran

Email verificata su ut.ac.ir

Information Retrieval Text Mining


Titolo Ordina per citazioni Ordina per anno Ordina per titolo	Citata da Citata da	Anno
T-shaped grouping: Expert finding models to agile software teams retrieval P Rostami, M Neshati Expert Systems with Applications 118, 231-245, 2019	31	2019
T-shaped mining: A novel approach to talent finding for agile software teams SS Gharebagh, P Rostami, M Neshati Advances in Information Retrieval: 40th European Conference on IR Research …, 2018	27	2018
Intern retrieval from community question answering websites: A new variation of expert finding problem P Rostami, M Neshati Expert Systems with Applications 181, 115044, 2021	7	2021
A deep learning-based expert finding method to retrieve agile software teams from CQAs P Rostami, A Shakery Information Processing & Management 60 (2), 103144, 2023	5	2023

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