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)

Performance improvement for recommender systems using ontology. - Karamollah Bagherifard; Mohsen Rahmani; Mehrbakhsh Nilashi; Vahid Rafe (Telematics Informatics, 2017)

A recommender system based on collaborative filtering using ontology and dimensionality reduction techniques. - Mehrbakhsh Nilashi; Othman Ibrahim; Karamollah Bagherifard (Expert Syst. Appl., 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)

Clustering ensemble selection considering quality and diversity. - Sadrollah Abbasi; Samad Nejatian; Hamid Parvin; Vahideh Rezaie; Karamolah Bagherifard (Artif. Intell. Rev., 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)

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)

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 002; Karamollah Bagherifard; Hamid Parvin; Samad Nejatian; Kim-Hung Pho (Appl. Intell., 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)

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 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)

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)

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)

Novel multi objective evolutionary framework for solving next release problem. - Mohsen Ghasemi 002; Karamollah Bagherifard; Hamid Parvin; Samad Nejatian (J. Intell. Fuzzy Syst., 2023)

Consensus fuzzy clustering by sequential quadratic programming approach. - Navid Samimi; Samad Nejatian; Hamid Parvin; Karamollah Bagherifard; Vahideh Rezaie (J. Intell. Fuzzy Syst., 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., 2023)

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., 2024)

Ontology-based recommender system: a deep learning approach. - Seyed Jalalaldin Gharibi; Karamollah Bagherifard; Hamid Parvin; Samad Nejatian; S. Hadi Yaghoubyan (J. Supercomput., 2024)