OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!
If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.
Requested Article:
Fairer Machine Learning Through Multi-objective Evolutionary Learning
Qingquan Zhang, Jialin Liu, Zeqi Zhang, et al.
Lecture notes in computer science (2021), pp. 111-123
Closed Access | Times Cited: 12
Qingquan Zhang, Jialin Liu, Zeqi Zhang, et al.
Lecture notes in computer science (2021), pp. 111-123
Closed Access | Times Cited: 12
Showing 12 citing articles:
Mitigating Unfairness via Evolutionary Multiobjective Ensemble Learning
Qingquan Zhang, Jialin Liu, Zeqi Zhang, et al.
IEEE Transactions on Evolutionary Computation (2022) Vol. 27, Iss. 4, pp. 848-862
Open Access | Times Cited: 21
Qingquan Zhang, Jialin Liu, Zeqi Zhang, et al.
IEEE Transactions on Evolutionary Computation (2022) Vol. 27, Iss. 4, pp. 848-862
Open Access | Times Cited: 21
Understanding Trade-Offs in Classifier Bias with Quality-Diversity Optimization: An Application to Talent Management
Catalina M. Jaramillo, Paul C. Squires, Julian Togelius
Lecture notes in computer science (2025), pp. 238-253
Closed Access
Catalina M. Jaramillo, Paul C. Squires, Julian Togelius
Lecture notes in computer science (2025), pp. 238-253
Closed Access
Bi-Level Multiobjective Evolutionary Learning: A Case Study on Multitask Graph Neural Topology Search
Chao Wang, Licheng Jiao, Jiaxuan Zhao, et al.
IEEE Transactions on Evolutionary Computation (2023) Vol. 28, Iss. 1, pp. 208-222
Open Access | Times Cited: 7
Chao Wang, Licheng Jiao, Jiaxuan Zhao, et al.
IEEE Transactions on Evolutionary Computation (2023) Vol. 28, Iss. 1, pp. 208-222
Open Access | Times Cited: 7
Towards fairness-aware multi-objective optimization
Guo Yu, Lianbo Ma, Xilu Wang, et al.
Complex & Intelligent Systems (2024) Vol. 11, Iss. 1
Open Access | Times Cited: 2
Guo Yu, Lianbo Ma, Xilu Wang, et al.
Complex & Intelligent Systems (2024) Vol. 11, Iss. 1
Open Access | Times Cited: 2
Multi-objective Feature Attribution Explanation For Explainable Machine Learning
Ziming Wang, Changwu Huang, Yun Li, et al.
ACM Transactions on Evolutionary Learning and Optimization (2023) Vol. 4, Iss. 1, pp. 1-32
Open Access | Times Cited: 6
Ziming Wang, Changwu Huang, Yun Li, et al.
ACM Transactions on Evolutionary Learning and Optimization (2023) Vol. 4, Iss. 1, pp. 1-32
Open Access | Times Cited: 6
Enforcing fairness using ensemble of diverse Pareto-optimal models
Vitória Guardieiro, Marcos M. Raimundo, Jorge Poco
Data Mining and Knowledge Discovery (2023) Vol. 37, Iss. 5, pp. 1930-1958
Closed Access | Times Cited: 5
Vitória Guardieiro, Marcos M. Raimundo, Jorge Poco
Data Mining and Knowledge Discovery (2023) Vol. 37, Iss. 5, pp. 1930-1958
Closed Access | Times Cited: 5
FairerML: An Extensible Platform for Analysing, Visualising, and Mitigating Biases in Machine Learning [Application Notes]
Bo Yuan, Shenhao Gui, Qingquan Zhang, et al.
IEEE Computational Intelligence Magazine (2024) Vol. 19, Iss. 2, pp. 129-141
Closed Access | Times Cited: 1
Bo Yuan, Shenhao Gui, Qingquan Zhang, et al.
IEEE Computational Intelligence Magazine (2024) Vol. 19, Iss. 2, pp. 129-141
Closed Access | Times Cited: 1
Multi-Objective Framework to Balancing Fairness and Accuracy for Debiasing Machine Learning Models
Rashmi Nagpal, Ariba Khan, Mihir Borkar, et al.
Machine Learning and Knowledge Extraction (2024) Vol. 6, Iss. 3, pp. 2130-2148
Open Access | Times Cited: 1
Rashmi Nagpal, Ariba Khan, Mihir Borkar, et al.
Machine Learning and Knowledge Extraction (2024) Vol. 6, Iss. 3, pp. 2130-2148
Open Access | Times Cited: 1
Secure Federated Evolutionary Optimization—A Survey
Qiqi Liu, Yuping Yan, Yaochu Jin, et al.
Engineering (2023) Vol. 34, pp. 23-42
Open Access | Times Cited: 2
Qiqi Liu, Yuping Yan, Yaochu Jin, et al.
Engineering (2023) Vol. 34, pp. 23-42
Open Access | Times Cited: 2
Evolutionary Multi-Objective Optimisation for Fairness-Aware Self Adjusting Memory Classifiers in Data Streams
Pivithuru Thejan Amarasinghe, Diem Pham, Binh Tran, et al.
Proceedings of the Genetic and Evolutionary Computation Conference (2024), pp. 258-266
Open Access
Pivithuru Thejan Amarasinghe, Diem Pham, Binh Tran, et al.
Proceedings of the Genetic and Evolutionary Computation Conference (2024), pp. 258-266
Open Access
Fairer Machine Learning Through the Hybrid of Multi-objective Evolutionary Learning and Adversarial Learning
Shenhao Gui, Qingquan Zhang, Changwu Huang, et al.
2022 International Joint Conference on Neural Networks (IJCNN) (2023), pp. 1-9
Closed Access | Times Cited: 1
Shenhao Gui, Qingquan Zhang, Changwu Huang, et al.
2022 International Joint Conference on Neural Networks (IJCNN) (2023), pp. 1-9
Closed Access | Times Cited: 1
Preventing Undesirable Behaviors of Neural Networks via Evolutionary Constrained Learning
Changwu Huang, Zeqi Zhang, Bifei Mao, et al.
2022 International Joint Conference on Neural Networks (IJCNN) (2022), pp. 1-7
Closed Access | Times Cited: 1
Changwu Huang, Zeqi Zhang, Bifei Mao, et al.
2022 International Joint Conference on Neural Networks (IJCNN) (2022), pp. 1-7
Closed Access | Times Cited: 1
