| Measuring non-expert comprehension of machine learning fairness metrics D Saha, C Schumann, D Mcelfresh, J Dickerson, M Mazurek, M Tschantz International Conference on Machine Learning, 8377-8387, 2020 | 78 | 2020 |
| When do neural nets outperform boosted trees on tabular data? D McElfresh, S Khandagale, J Valverde, V Prasad C, G Ramakrishnan, ... Advances in Neural Information Processing Systems 36, 2024 | 65 | 2024 |
| Balancing lexicographic fairness and a utilitarian objective with application to kidney exchange D McElfresh, J Dickerson Proceedings of the AAAI Conference on Artificial Intelligence 32 (1), 2018 | 33 | 2018 |
| Scalable robust kidney exchange DC McElfresh, H Bidkhori, JP Dickerson Proceedings of the AAAI Conference on Artificial Intelligence 33 (01), 1077-1084, 2019 | 30 | 2019 |
| Matching algorithms for blood donation DC McElfresh, C Kroer, S Pupyrev, E Sodomka, K Sankararaman, ... Nature Machine Intelligence 5, 1108–1118, 2023 | 23 | 2023 |
| Human comprehension of fairness in machine learning D Saha, C Schumann, DC McElfresh, JP Dickerson, ML Mazurek, ... Proceedings of the AAAI/ACM Conference on AI, Ethics, and Society, 152-152, 2020 | 22 | 2020 |
| Robust active preference elicitation P Vayanos, Y Ye, D McElfresh, J Dickerson, E Rice arXiv preprint arXiv:2003.01899, 2020 | 21 | 2020 |
| Vishak Prasad C, Ganesh Ramakrishnan, Micah Goldblum, and Colin White. When do neural nets outperform boosted trees on tabular data D McElfresh, S Khandagale, J Valverde Advances in Neural Information Processing Systems 36, 2024 | 16 | 2024 |
| Artificial Artificial Intelligence: Measuring Influence of AI'Assessments' on Moral Decision-Making L Chan, K Doyle, D McElfresh, V Conitzer, JP Dickerson, J Schaich Borg, ... Proceedings of the AAAI/ACM Conference on AI, Ethics, and Society, 214-220, 2020 | 14 | 2020 |
| Correlates of housing sustainability among youth placed into permanent supportive housing and rapid re-housing: A survival analysis HT Hsu, C Hill, M Holguin, L Petry, D McElfresh, P Vayanos, M Morton, ... Journal of Adolescent Health 69 (4), 629-635, 2021 | 10 | 2021 |
| Optimal kidney exchange with immunosuppressants H Aziz, A Cseh, JP Dickerson, DC McElfresh Proceedings of the AAAI Conference on Artificial Intelligence 35 (1), 21-29, 2021 | 10 | 2021 |
| Indecision modeling DC McElfresh, L Chan, K Doyle, W Sinnott-Armstrong, V Conitzer, JS Borg, ... Proceedings of the AAAI Conference on Artificial Intelligence 35 (7), 5975-5983, 2021 | 8 | 2021 |
| Kidney exchange with inhomogeneous edge existence uncertainty J Dickerson, D McElfresh, K Ren Conference on Uncertainty in Artificial Intelligence, 161-170, 2020 | 8 | 2020 |
| Vishak Prasad C D McElfresh, S Khandagale, J Valverde Ganesh Ramakrishnan, Micah Goldblum, and Colin White. When do neural nets …, 2023 | 7 | 2023 |
| On the generalizability and predictability of recommender systems D McElfresh, S Khandagale, J Valverde, J Dickerson, C White Advances in Neural Information Processing Systems 35, 4416-4432, 2022 | 7 | 2022 |
| Project report: Perceptions of AI in hiring R Gelles, D McElfresh, A Mittu University of Maryland. Retrieved Dec 18, 2020, 2018 | 7 | 2018 |
| Automatic classification of audio data using nonlinear neural response models JH Bach, AF Meyer, D McElfresh, J Anemüller 2012 IEEE International Conference on Acoustics, Speech and Signal …, 2012 | 7 | 2012 |
| Improving policy-constrained kidney exchange via pre-screening D McElfresh, M Curry, T Sandholm, J Dickerson Advances in Neural Information Processing Systems 33, 2674-2685, 2020 | 5 | 2020 |
| V., Ramakrishnan, G., Goldblum, M., and White, C.(2024). When do neural nets outperform boosted trees on tabular data D McElfresh, S Khandagale, J Valverde, C Prasad Advances in Neural Information Processing Systems 36, 0 | 5 | |
| Machine Learning Explainability and Fairness: Insights from Consumer Lending L Blattner, J Spiess FinRegLab Empirical White Paper, 2022 | 4 | 2022 |
