On the Choice of Fairness: Finding Representative Fairness Metrics for a Given Context. - Hadis Anahideh; Nazanin Nezami; Abolfazl Asudeh (CoRR, 2021)

Auditing Fairness and Imputation Impact in Predictive Analytics for Higher Education. - Hadis Anahideh; Nazanin Nezami; Denisa Gandara (CoRR, 2021)

An Empirical Review of Model-Based Adaptive Sampling for Global Optimization of Expensive Black-Box Functions. - Nazanin Nezami; Hadis Anahideh (WSC, 2022)

Hyperparameter Adaptive Search for Surrogate Optimization: a Self-Adjusting Approach. - Nazanin Nezami; Hadis Anahideh (WSC, 2023)

FairPilot: An Explorative System for Hyperparameter Tuning through the Lens of Fairness. - Francesco Di Carlo; Nazanin Nezami; Hadis Anahideh; Abolfazl Asudeh (CoRR, 2023)

Dynamic Exploration-Exploitation Pareto Approach for high-dimensional expensive black-box optimization. - Nazanin Nezami; Hadis Anahideh (Comput. Oper. Res., 2024)

Building Trust in Black-box Optimization: A Comprehensive Framework for Explainability. - Nazanin Nezami; Hadis Anahideh (CoRR, 2024)

Finding representative group fairness metrics using correlation estimations. - Hadis Anahideh; Nazanin Nezami; Abolfazl Asudeh (Expert Syst. Appl., 2025)