Navid Yazdanjue

Orcid: 0000-0001-9670-8422

According to our database1, Navid Yazdanjue authored at least 13 papers between 2020 and 2024.

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

Timeline

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Bibliography

2024
An enhanced discrete particle swarm optimization for structural k-Anonymity in social networks.
Inf. Sci., 2024

Semantic-Preserving Feature Partitioning for Multi-View Ensemble Learning.
CoRR, 2024

Enhancing Classification Through Multi-view Synthesis in Multi-Population Ensemble Genetic Programming.
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2024

Shadow Gene Guidance: A Novel Approach for Elevating Genetic Programming Classifications and Boosting Predictive Confidence.
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2024

2023
An Application-Specific Approach for Design Structure Matrix Optimization: Focusing on the Cross Application of Modularization and Sequencing Methods.
IEEE Trans. Engineering Management, June, 2023

Enhanced Genetic and Imperialist Competitive Based Algorithms for Reducing Design Feedbacks in the Design Structure Matrix.
IEEE Trans. Engineering Management, 2023

Noise-Augmented Boruta: The Neural Network Perturbation Infusion with Boruta Feature Selection.
CoRR, 2023

A Comprehensive Bibliometric Analysis on Social Network Anonymization: Current Approaches and Future Directions.
CoRR, 2023

2022
An improved group teaching optimization algorithm based on local search and chaotic map for feature selection in high-dimensional data.
Expert Syst. Appl., 2022

An Ensemble-Based Credit Card Fraud Detection Algorithm Using an Efficient Voting Strategy.
Comput. J., 2022

2021
Research topics and trends of the hashtag recommendation domain.
Scientometrics, 2021

Noise Removal from ECG Signals by Adaptive Filter Based on Variable Step Size LMS Using Evolutionary Algorithms.
Proceedings of the 34th IEEE Canadian Conference on Electrical and Computer Engineering, 2021

2020
Evolutionary Algorithms For k-Anonymity In Social Networks Based On Clustering Approach.
Comput. J., 2020


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