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Karamollah Bagherifard
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- affiliation: Islamic Azad University, Young Researchers and Elite Club, Yasooj, Iran
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2020 – today
- 2024
- [j18]Farshad Gheytasi, S. Hadi Yaghoubyan, Zahra Rezaei, Karamollah Bagherifard, Hamid Parvin:
Spectral clustering based on extended deep ensemble auto encoder with eagle strategy. Multim. Tools Appl. 83(16): 47085-47109 (2024) - [j17]Seyed Jalalaldin Gharibi, Karamollah Bagherifard, Hamid Parvin, Samad Nejatian, S. Hadi Yaghoubyan:
Ontology-based recommender system: a deep learning approach. J. Supercomput. 80(9): 12102-12122 (2024) - 2023
- [j16]Navid Samimi, Samad Nejatian, Hamid Parvin, Karamollah Bagherifard, Vahideh Rezaie:
Consensus fuzzy clustering by sequential quadratic programming approach. J. Intell. Fuzzy Syst. 44(2): 1847-1863 (2023) - [j15]Maryam Azimifar, Samad Nejatian, Hamid Parvin, Karamollah Bagherifard, Vahideh Rezaie:
A structure-protecting kernelized semi-supervised space adjustment for classification. J. Intell. Fuzzy Syst. 44(2): 3043-3057 (2023) - [j14]Mohsen Ghasemi, Karamollah Bagherifard, Hamid Parvin, Samad Nejatian:
Novel multi objective evolutionary framework for solving next release problem. J. Intell. Fuzzy Syst. 44(2): 3315-3339 (2023) - [j13]Alireza Dehghani, Karamolah Bagherifard, Samad Nejatian, Hamid Parvin:
A novel missing value imputation relying on K-means clustering and kernel-based weighting using grey relation (KWGI). J. Intell. Fuzzy Syst. 44(4): 5675-5697 (2023) - [j12]Ebrahim Khalili, Razieh Malekhosseini, S. Hadi Yaghoubyan, Karamollah Bagherifard, Hamid Parvin:
Sequential semi-supervised active learning model in extremely low training set (SSSAL). J. Supercomput. 79(6): 6646-6673 (2023) - 2022
- [j11]Esmaeil Ghaferi, Razieh Malekhosseini, Farhad Rad, Karamollah Bagherifard:
A clustering method for locating services based on fog computing for the internet of things. J. Supercomput. 78(11): 13756-13779 (2022) - 2021
- [j10]Mohsen Ghasemi, Karamollah Bagherifard, Hamid Parvin, Samad Nejatian, Kim-Hung Pho:
Multi-objective whale optimization algorithm and multi-objective grey wolf optimizer for solving next release problem with developing fairness and uncertainty quality indicators. Appl. Intell. 51(8): 5358-5387 (2021) - [j9]Abdol-Karim Javanmardi, S. Hadi Yaghoubyan, Karamollah Bagherifard, Samad Nejatian, Hamid Parvin:
A unit-based, cost-efficient scheduler for heterogeneous Hadoop systems. J. Supercomput. 77(1): 1-22 (2021) - [j8]Abdol-Karim Javanmardi, S. Hadi Yaghoubyan, Karamolah Bagherifard, Samad Nejatian, Hamid Parvin:
An architecture for scheduling with the capability of minimum share to heterogeneous Hadoop systems. J. Supercomput. 77(6): 5289-5318 (2021) - 2020
- [j7]Rogayye Khaleghnasab, Karamollah Bagherifard, Samad Nejatian, Hamid Parvin, Bahman Ravaei:
A New Energy-Efficient Multipath Routing in Internet of Things Based on Gray Theory. Int. J. Inf. Technol. Decis. Mak. 19(6): 1581-1617 (2020)
2010 – 2019
- 2019
- [j6]Sadrollah Abbasi, Samad Nejatian, Hamid Parvin, Vahideh Rezaie, Karamolah Bagherifard:
Clustering ensemble selection considering quality and diversity. Artif. Intell. Rev. 52(2): 1311-1340 (2019) - [j5]Samad Nejatian, Vahideh Rezaie, Hamid Parvin, Mohamadamin Pirbonyeh, Karamolah Bagherifard, Sharifah Kamilah Syed Yusof:
An innovative linear unsupervised space adjustment by keeping low-level spatial data structure. Knowl. Inf. Syst. 59(2): 437-464 (2019) - 2018
- [j4]Mehrbakhsh Nilashi, Othman Ibrahim, Karamollah Bagherifard:
A recommender system based on collaborative filtering using ontology and dimensionality reduction techniques. Expert Syst. Appl. 92: 507-520 (2018) - [j3]Karamollah Bagherifard, Mohsen Rahmani, Vahid Rafe, Mehrbakhsh Nilashi:
A Recommendation Method Based on Semantic Similarity and Complementarity Using Weighted Taxonomy: A Case on Construction Materials Dataset. J. Inf. Knowl. Manag. 17(1): 1850010:1-1850010:26 (2018) - 2017
- [j2]Mehrbakhsh Nilashi, Karamollah Bagherifard, Mohsen Rahmani, Vahid Rafe:
A recommender system for tourism industry using cluster ensemble and prediction machine learning techniques. Comput. Ind. Eng. 109: 357-368 (2017) - [j1]Karamollah Bagherifard, Mohsen Rahmani, Mehrbakhsh Nilashi, Vahid Rafe:
Performance improvement for recommender systems using ontology. Telematics Informatics 34(8): 1772-1792 (2017)
Coauthor Index
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last updated on 2024-06-20 20:43 CEST by the dblp team
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