Karamollah Bagherifard

According to our database, Karamollah Bagherifard authored at least 18 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2024

Ontology-based recommender system: a deep learning approach.

Seyed Jalalaldin Gharibi, Karamollah Bagherifard, Hamid Parvin, Samad Nejatian, S. Hadi Yaghoubyan

J. Supercomput., June, 2024

Spectral clustering based on extended deep ensemble auto encoder with eagle strategy.

Farshad Gheytasi, S. Hadi Yaghoubyan, Zahra Rezaei, Karamollah Bagherifard, Hamid Parvin

Multim. Tools Appl., May, 2024

2023

Sequential semi-supervised active learning model in extremely low training set (SSSAL).

Ebrahim Khalili, Razieh Malekhosseini, S. Hadi Yaghoubyan, Karamollah Bagherifard, Hamid Parvin

J. Supercomput., April, 2023

Consensus fuzzy clustering by sequential quadratic programming approach.

Navid Samimi, Samad Nejatian, Hamid Parvin, Karamollah Bagherifard, Vahideh Rezaie

J. Intell. Fuzzy Syst., 2023

Novel multi objective evolutionary framework for solving next release problem.

Mohsen Ghasemi, Karamollah Bagherifard, Hamid Parvin, Samad Nejatian

J. Intell. Fuzzy Syst., 2023

A novel missing value imputation relying on K-means clustering and kernel-based weighting using grey relation (KWGI).

Alireza Dehghani, Karamolah Bagherifard, Samad Nejatian, Hamid Parvin

J. Intell. Fuzzy Syst., 2023

A structure-protecting kernelized semi-supervised space adjustment for classification.

Maryam Azimifar, Samad Nejatian, Hamid Parvin, Karamollah Bagherifard, Vahideh Rezaie

J. Intell. Fuzzy Syst., 2023

2022

A clustering method for locating services based on fog computing for the internet of things.

Esmaeil Ghaferi, Razieh Malekhosseini, Farhad Rad, Karamollah Bagherifard

J. Supercomput., 2022

2021

An architecture for scheduling with the capability of minimum share to heterogeneous Hadoop systems.

Abdol-Karim Javanmardi, S. Hadi Yaghoubyan, Karamolah Bagherifard, Samad Nejatian, Hamid Parvin

J. Supercomput., 2021

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

Abdol-Karim Javanmardi, S. Hadi Yaghoubyan, Karamollah Bagherifard, Samad Nejatian, Hamid Parvin

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.

Mohsen Ghasemi, Karamollah Bagherifard, Hamid Parvin, Samad Nejatian, Kim-Hung Pho

Appl. Intell., 2021

2020

A New Energy-Efficient Multipath Routing in Internet of Things Based on Gray Theory.

Rogayye Khaleghnasab, Karamollah Bagherifard, Samad Nejatian, Hamid Parvin, Bahman Ravaei

Int. J. Inf. Technol. Decis. Mak., 2020

2019

An innovative linear unsupervised space adjustment by keeping low-level spatial data structure.

Samad Nejatian, Vahideh Rezaie, Hamid Parvin, Mohamadamin Pirbonyeh, Karamolah Bagherifard, Sharifah Kamilah Syed Yusof

Knowl. Inf. Syst., 2019

Clustering ensemble selection considering quality and diversity.

Sadrollah Abbasi, Samad Nejatian, Hamid Parvin, Vahideh Rezaie, Karamolah Bagherifard

Artif. Intell. Rev., 2019

2018

A Recommendation Method Based on Semantic Similarity and Complementarity Using Weighted Taxonomy: A Case on Construction Materials Dataset.

Karamollah Bagherifard, Mohsen Rahmani, Vahid Rafe, Mehrbakhsh Nilashi

J. Inf. Knowl. Manag., 2018

A recommender system based on collaborative filtering using ontology and dimensionality reduction techniques.

Mehrbakhsh Nilashi, Othman Ibrahim, Karamollah Bagherifard

Expert Syst. Appl., 2018

2017

Performance improvement for recommender systems using ontology.

Karamollah Bagherifard, Mohsen Rahmani, Mehrbakhsh Nilashi, Vahid Rafe

Telematics Informatics, 2017

A recommender system for tourism industry using cluster ensemble and prediction machine learning techniques.

Mehrbakhsh Nilashi, Karamollah Bagherifard, Mohsen Rahmani, Vahid Rafe

Comput. Ind. Eng., 2017