| Seliem El-Sayed, Jaylen Pittman, Shakir Mohamed, and Kevin R McKee. 2024. The illusion of artificial inclusion W Agnew, AS Bergman, J Chien, M Díaz arXiv preprint arXiv:2401.08572, 2024 | 10 | 2024 |
| Algorithmic censoring in dynamic learning systems J Chien, M Roberts, B Ustun Proceedings of the 3rd ACM Conference on Equity and Access in Algorithms …, 2023 | 5 | 2023 |
| The illusion of artificial inclusion W Agnew, AS Bergman, J Chien, M Díaz, S El-Sayed, J Pittman, ... Proceedings of the CHI Conference on Human Factors in Computing Systems, 1-12, 2024 | 4 | 2024 |
| ConsHMM Atlas: conservation state annotations for major genomes and human genetic variation A Arneson, B Felsheim, J Chien, J Ernst NAR Genomics and Bioinformatics 2 (4), lqaa104, 2020 | 4 | 2020 |
| Predicting the plant root-associated ecological niche of 21 pseudomonas species using machine learning and metabolic modeling J Chien, P Larsen arXiv preprint arXiv:1701.03220, 2017 | 4 | 2017 |
| Beyond Behaviorist Representational Harms: A Plan for Measurement and Mitigation J Chien, D Danks The 2024 ACM Conference on Fairness, Accountability, and Transparency, 933-946, 2024 | 1 | 2024 |
| Actionable recourse via GANs for mobile health J Chien, A Guitart, AF del Rio, A Perianez, L Bellhouse arXiv preprint arXiv:2211.06525, 2022 | 1 | 2022 |
| Recourse for reclamation: Chatting with generative language models J Chien, K McKee, J Kay, W Isaac Extended Abstracts of the CHI Conference on Human Factors in Computing …, 2024 | | 2024 |
| Fairness Vs. Personalization: Towards Equity in Epistemic Utility J Chien, D Danks 6th FAccTRec Workshop: Responsible Recommendation 6, 2023 | | 2023 |
| Correction to ‘ConsHMM Atlas: conservation state annotations for major genomes and human genetic variation’ A Arneson, B Felsheim, J Chien, J Ernst NAR Genomics and Bioinformatics 3 (3), lqab084, 2021 | | 2021 |
| Learning through Recourse under Censoring J Chien, M Roberts, B Ustun ICML Workshop on Algorithmic Recourse, 2021 | | 2021 |
| Recent Advances, Applications and Open Challenges in Machine Learning for Health: Reflections from Research Roundtables at ML4H 2022 Symposium S Hegselmann, H Zhou, Y Zhou, J Chien, S Nagaraj, N Hulkund, S Bhave, ... | | |
Adriana ArnesonSenior Bioinformatics Scientist, Encodia Inc.在 g.ucla.edu 的电子邮件经过验证
