Karamollah Bagherifard

Affiliations:
  • Islamic Azad University, Young Researchers and Elite Club, Yasooj, Iran


According to our database1, Karamollah Bagherifard authored at least 16 papers between 2017 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

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Bibliography

2023
Sequential semi-supervised active learning model in extremely low training set (SSSAL).
J. Supercomput., April, 2023

Consensus fuzzy clustering by sequential quadratic programming approach.
J. Intell. Fuzzy Syst., 2023

Novel multi objective evolutionary framework for solving next release problem.
J. Intell. Fuzzy Syst., 2023

A novel missing value imputation relying on K-means clustering and kernel-based weighting using grey relation (KWGI).
J. Intell. Fuzzy Syst., 2023

A structure-protecting kernelized semi-supervised space adjustment for classification.
J. Intell. Fuzzy Syst., 2023

2022
A clustering method for locating services based on fog computing for the internet of things.
J. Supercomput., 2022

2021
An architecture for scheduling with the capability of minimum share to heterogeneous Hadoop systems.
J. Supercomput., 2021

A unit-based, cost-efficient scheduler for heterogeneous Hadoop systems.
J. Supercomput., 2021

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., 2021

2020
A New Energy-Efficient Multipath Routing in Internet of Things Based on Gray Theory.
Int. J. Inf. Technol. Decis. Mak., 2020

2019
An innovative linear unsupervised space adjustment by keeping low-level spatial data structure.
Knowl. Inf. Syst., 2019

Clustering ensemble selection considering quality and diversity.
Artif. Intell. Rev., 2019

2018
A Recommendation Method Based on Semantic Similarity and Complementarity Using Weighted Taxonomy: A Case on Construction Materials Dataset.
J. Inf. Knowl. Manag., 2018

A recommender system based on collaborative filtering using ontology and dimensionality reduction techniques.
Expert Syst. Appl., 2018

2017
Performance improvement for recommender systems using ontology.
Telematics Informatics, 2017

A recommender system for tourism industry using cluster ensemble and prediction machine learning techniques.
Comput. Ind. Eng., 2017


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