Fair feature subset selection using multiobjective genetic algorithm

Author:

Rehman Ayaz Ur1,Nadeem Anas1,Malik Muhammad Zubair1

Affiliation:

1. North Dakota State University

Publisher

ACM

Reference17 articles.

1. Alekh Agarwal , Alina Beygelzimer , Miroslav Dudík , John Langford , and Hanna Wallach . 2018 . A reductions approach to fair classification . In International Conference on Machine Learning. PMLR, 60--69 . Alekh Agarwal, Alina Beygelzimer, Miroslav Dudík, John Langford, and Hanna Wallach. 2018. A reductions approach to fair classification. In International Conference on Machine Learning. PMLR, 60--69.

2. Oluleye H Babatunde Leisa Armstrong Jinsong Leng and Dean Diepeveen. 2014. A genetic algorithm-based feature selection. (2014). Oluleye H Babatunde Leisa Armstrong Jinsong Leng and Dean Diepeveen. 2014. A genetic algorithm-based feature selection. (2014).

3. Rachel KE Bellamy Kuntal Dey Michael Hind Samuel C Hoffman Stephanie Houde Kalapriya Kannan Pranay Lohia Jacquelyn Martino Sameep Mehta Aleksandra Mojsilovic etal 2018. AI Fairness 360: An extensible toolkit for detecting understanding and mitigating unwanted algorithmic bias. arXiv preprint arXiv:1810.01943 (2018). Rachel KE Bellamy Kuntal Dey Michael Hind Samuel C Hoffman Stephanie Houde Kalapriya Kannan Pranay Lohia Jacquelyn Martino Sameep Mehta Aleksandra Mojsilovic et al. 2018. AI Fairness 360: An extensible toolkit for detecting understanding and mitigating unwanted algorithmic bias. arXiv preprint arXiv:1810.01943 (2018).

4. XGBoost

5. Kalyanmoy Deb , Amrit Pratap , Sameer Agarwal , and TAMT Meyarivan . 2002. A fast and elitist multiobjective genetic algorithm: NSGA-II . IEEE transactions on evolutionary computation 6, 2 ( 2002 ), 182--197. Kalyanmoy Deb, Amrit Pratap, Sameer Agarwal, and TAMT Meyarivan. 2002. A fast and elitist multiobjective genetic algorithm: NSGA-II. IEEE transactions on evolutionary computation 6, 2 (2002), 182--197.

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