| An intersectional definition of fairness JR Foulds, R Islam, KN Keya, S Pan 2020 IEEE 36th International Conference on Data Engineering (ICDE), 1918-1921, 2020 | 241 | 2020 |
| Debiasing career recommendations with neural fair collaborative filtering R Islam, KN Keya, Z Zeng, S Pan, J Foulds Proceedings of the Web Conference 2021, 3779-3790, 2021 | 81 | 2021 |
| Bayesian Modeling of Intersectional Fairness: The Variance of Bias∗ JR Foulds, R Islam, KN Keya, S Pan Proceedings of the 2020 SIAM International Conference on Data Mining, 424-432, 2020 | 58 | 2020 |
| Fair representation learning for heterogeneous information networks Z Zeng, R Islam, KN Keya, J Foulds, Y Song, S Pan Proceedings of the International AAAI Conference on Web and Social Media 15 …, 2021 | 48 | 2021 |
| Equitable allocation of healthcare resources with fair survival models KN Keya, R Islam, S Pan, I Stockwell, J Foulds Proceedings of the 2021 siam international conference on data mining (sdm …, 2021 | 28 | 2021 |
| Do humans prefer debiased AI algorithms? A case study in career recommendation C Wang, K Wang, A Bian, R Islam, KN Keya, J Foulds, S Pan Proceedings of the 27th International Conference on Intelligent User …, 2022 | 27 | 2022 |
| Mitigating demographic biases in social media-based recommender systems R Islam, KN Keya, S Pan, J Foulds KDD (Social Impact Track), 2019 | 21 | 2019 |
| Differential fairness: an intersectional framework for fair AI R Islam, KN Keya, S Pan, AD Sarwate, JR Foulds Entropy 25 (4), 660, 2023 | 12 | 2023 |
| User acceptance of gender stereotypes in automated career recommendations C Wang, K Wang, A Bian, R Islam, KN Keya, J Foulds, S Pan arXiv preprint arXiv:2106.07112, 2021 | 11 | 2021 |
| Equitable allocation of healthcare resources with fair cox models KN Keya, R Islam, S Pan, I Stockwell, JR Foulds arXiv preprint arXiv:2010.06820, 2020 | 11 | 2020 |
| Neural embedding allocation: Distributed representations of topic models KN Keya, Y Papanikolaou, JR Foulds Computational Linguistics 48 (4), 1021-1052, 2022 | 6 | 2022 |
| Bias: Friend or foe? user acceptance of gender stereotypes in automated career recommendations C Wang, K Wang, A Bian, R Islam, KN Keya, JR Foulds, S Pan CoRR, 2021 | 6 | 2021 |
| Differential fairness JR Foulds, R Islam, KN Keya, S Pan NeurIPS 2019 Workshop on Machine Learning with Guarantees, 2019 | 6 | 2019 |
| When Biased Humans Meet Debiased AI: A Case Study in College Major Recommendation C Wang, K Wang, AY Bian, R Islam, KN Keya, J Foulds, S Pan ACM Transactions on Interactive Intelligent Systems 13 (3), 1-28, 2023 | 5 | 2023 |
| Neural fair collaborative filtering R Islam, KN Keya, Z Zeng, S Pan, J Foulds arXiv preprint arXiv:2009.08955, 2020 | 3 | 2020 |
| A User Study on a De-Biased Career Recommender System C Wang, K Wang, A Bian, R Islam, KN Keya, JR Foulds, S Pan | 1 | 2020 |
| Neural embedding allocation: Distributed representations of words, topics, and documents KN Keya, J Foulds Mid-Atlantic Student Colloquium on Speech, Language and Learning, 2018 | 1 | 2018 |
| Bayesian Modeling of Intersectional Fairness: The Variance of Bias (Supplementary Material) JR Foulds, R Islam, KN Keya, S Pan | | 2020 |
| Differential Fairness for Machine Learning and Artificial Intelligence Systems: Unbiased Decisions with Biased Data J Foulds, R Islam, K Keya, S Pan | | 2018 |
James FouldsUniversity of Maryland, Baltimore CountyVerified email at umbc.edu
