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Peyman Rostami
Peyman Rostami
PhD Candidate, Electrical and Computer Engineering Department, University of Tehran
Verified email at ut.ac.ir
Title
Cited by
Cited by
Year
T-shaped grouping: Expert finding models to agile software teams retrieval
P Rostami, M Neshati
Expert Systems with Applications 118, 231-245, 2019
372019
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
292018
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
122023
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
92021
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