Hansol Lee

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Rene F. KizilcecCornell UniversityVerified email at cornell.edu
Andrea CuadraStanford UniversityVerified email at stanford.edu
Jason B. ChoCornell UniversityVerified email at cornell.edu
Wendy JuCornell TechVerified email at cornell.edu
Renzhe YuAssistant Professor, Columbia UniversityVerified email at tc.columbia.edu
Shuran LiTongji UniversityVerified email at cornell.edu
Dakuo WangNortheastern UniversityVerified email at northeastern.edu
Hariharan SubramonyamStanford UniversityVerified email at stanford.edu
Thorsten JoachimsProfessor of Computer Science, Cornell UniversityVerified email at cs.cornell.edu

Hansol Lee

Verified email at stanford.edu


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Algorithmic Fairness in Education RF Kizilcec, H Lee The Ethics of Artificial Intelligence in Education, 2022	149	2022
Should college dropout prediction models include protected attributes? R Yu, H Lee, RF Kizilcec Proceedings of the eighth ACM conference on learning@ scale, 91-100, 2021	79	2021
My bad! repairing intelligent voice assistant errors improves interaction A Cuadra, S Li, H Lee, J Cho, W Ju Proceedings of the ACM on Human-Computer Interaction 5 (CSCW1), 1-24, 2021	42	2021
Evaluation of fairness trade-offs in predicting student success H Lee, RF Kizilcec FATED (Fairness, Accountability, and Transparency in Educational Data …, 2020	30	2020
Look at Me When I Talk to You: A Video Dataset to Enable Voice Assistants to Recognize Errors A Cuadra, H Lee, J Cho, W Ju arXiv preprint arXiv:2104.07153, 2021	7	2021
Is a Seat at the Table Enough? Engaging Teachers and Students in Dataset Specification for ML in Education M Tan, H Lee, D Wang, H Subramonyam arXiv preprint arXiv:2311.05792, 2023	2	2023
Evaluating a Learned Admission-Prediction Model as a Replacement for Standardized Tests in College Admissions H Lee, T Joachims, RF Kizilcec L@S '23: Proceedings of the Tenth ACM Conference on Learning @ Scale, 2023	1	2023

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