Evolutionary Algorithms For k-Anonymity In Social Networks Based On Clustering Approach. - Navid Yazdanjue; Mohammad Fathian; Babak Amiri (Comput. J., 2020)

Noise Removal from ECG Signals by Adaptive Filter Based on Variable Step Size LMS Using Evolutionary Algorithms. - Ramin Shaddeli; Navid Yazdanjue; Saeed Ebadollahi; Mohammad Mahdi Saberi; Bob Gill (CCECE, 2021)

Research topics and trends of the hashtag recommendation domain. - Babak Amiri; Ramin Karimianghadim; Navid Yazdanjue; Liaquat Hossain (Scientometrics, 2021)

An Ensemble-Based Credit Card Fraud Detection Algorithm Using an Efficient Voting Strategy. - Morteza Rakhshaninejad; Mohammad Fathian; Babak Amiri; Navid Yazdanjue (Comput. J., 2022)

An improved group teaching optimization algorithm based on local search and chaotic map for feature selection in high-dimensional data. - Hamed Khosravi; Babak Amiri; Navid Yazdanjue; Vahide Babaiyan (Expert Syst. Appl., 2022)

A Comprehensive Bibliometric Analysis on Social Network Anonymization: Current Approaches and Future Directions. - Navid Yazdanjue; Hossein Yazdanjouei; Hassan Gharoun; Mohammad Sadegh Khorshidi; Morteza Rakhshaninejad; Amir H. Gandomi (CoRR, 2023)

Noise-Augmented Boruta: The Neural Network Perturbation Infusion with Boruta Feature Selection. - Hassan Gharoun; Navid Yazdanjue; Mohammad Sadegh Khorshidi; Amir H. Gandomi (CoRR, 2023)

Enhanced Genetic and Imperialist Competitive Based Algorithms for Reducing Design Feedbacks in the Design Structure Matrix. - Esmaeel Khanmirza; Morteza Haghbeigi; Navid Yazdanjue (IEEE Trans. Engineering Management, 2023)

An Application-Specific Approach for Design Structure Matrix Optimization: Focusing on the Cross Application of Modularization and Sequencing Methods. - Navid Yazdanjue; Esmaeel Khanmirza (IEEE Trans. Engineering Management, 2023)

Shadow Gene Guidance: A Novel Approach for Elevating Genetic Programming Classifications and Boosting Predictive Confidence. - Hassan Gharoun; Mohammad Sadegh Khorshidi; Navid Yazdanjue; Fang Chen 001; Amir H. Gandomi (GECCO Companion, 2024)

Enhancing Classification Through Multi-view Synthesis in Multi-Population Ensemble Genetic Programming. - Mohammad Sadegh Khorshidi; Navid Yazdanjue; Hassan Gharoun; Danial Yazdani; Mohammad Reza Nikoo; Fang Chen 001; Amir H. Gandomi (GECCO Companion, 2024)

An enhanced discrete particle swarm optimization for structural k-Anonymity in social networks. - Navid Yazdanjue; Hossein Yazdanjouei; Ramin Karimianghadim; Amir H. Gandomi (Inf. Sci., 2024)

Semantic-Preserving Feature Partitioning for multi-view ensemble learning. - Mohammad Sadegh Khorshidi; Navid Yazdanjue; Hassan Gharoun; Danial Yazdani; Mohammad Reza Nikoo; Fang Chen 001; Amir H. Gandomi (Inf. Fusion, 2025)

A comprehensive bibliometric analysis on social network anonymization: current approaches and future directions. - Navid Yazdanjue; Hossein Yazdanjouei; Hassan Gharoun; Mohammad Sadegh Khorshidi; Morteza Rakhshaninejad; Babak Amiri; Amir H. Gandomi (Knowl. Inf. Syst., 2025)

Leveraging Neural Networks and Calibration Measures for Confident Feature Selection. - Hassan Gharoun; Navid Yazdanjue; Mohammad Sadegh Khorshidi; Fang Chen 001; Amir H. Gandomi (IEEE Trans. Emerg. Top. Comput. Intell., 2025)

A Language Model-Driven Semi-Supervised Ensemble Framework for Illicit Market Detection Across Deep/Dark Web and Social Platforms. - Navid Yazdanjue; Morteza Rakhshaninejad; Hossein Yazdanjouei; Mohammad Sadegh Khorshidi; Mikko S. Niemelä; Fang Chen 001; Amir H. Gandomi (CoRR, 2025)