An integrated approach for aircraft turbofan engine fault detection based on data mining techniques. - Hassan Gharoun; Abbas Keramati; Mohammad Mahdi Nasiri; Ali Azadeh (Expert Syst. J. Knowl. Eng., 2019)

An Uncertainty-Aware Deep Learning Framework for Defect Detection in Casting Products. - Maryam Habibpour; Hassan Gharoun; AmirReza Tajally; Afshar Shamsi Jokandan; Hamzeh Asgharnezhad; Abbas Khosravi; Saeid Nahavandi (CoRR, 2021)

Uncertainty-Aware Credit Card Fraud Detection Using Deep Learning. - Maryam Habibpour; Hassan Gharoun; Mohammadreza Mehdipour; AmirReza Tajally; Hamzeh Asgharnezhad; Afshar Shamsi Jokandan; Abbas Khosravi; Miadreza Shafie-Khah; Saeid Nahavandi; João P. S. Catalão (CoRR, 2021)

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)

Uncertainty-aware credit card fraud detection using deep learning. - Maryam Habibpour; Hassan Gharoun; Mohammadreza Mehdipour; AmirReza Tajally; Hamzeh Asgharnezhad; Afshar Shamsi Jokandan; Abbas Khosravi; Saeid Nahavandi (Eng. Appl. Artif. Intell., 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)

Trust-informed Decision-Making Through An Uncertainty-Aware Stacked Neural Networks Framework: Case Study in COVID-19 Classification. - Hassan Gharoun; Mohammad Sadegh Khorshidi; Fang Chen 001; Amir H. Gandomi (CoRR, 2024)

Meta-learning Approaches for Few-Shot Learning: A Survey of Recent Advances. - Hassan Gharoun; Fereshteh Momenifar; Fang Chen 001; Amir H. Gandomi (ACM Comput. Surv., 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)