Ground-Truth, Whose Truth?--Examining the Challenges with Annotating Toxic Text Datasets K Arhin, I Baldini, D Wei, KN Ramamurthy, M Singh In 2021 Annual Conference on Neural Information Processing Systems …, 2021 | 24 | 2021 |
An organizational communication approach to information security K Arhin, GO Wiredu The African Journal of Information Systems 10 (4), 1, 2018 | 14 | 2018 |
Reducing subgroup differences in personnel selection through the application of machine learning N Zhang, M Wang, H Xu, N Koenig, L Hickman, J Kuruzovich, V Ng, ... Personnel Psychology, 2023 | 13 | 2023 |
Supervised mixture models for population health X Shou, G Mavroudeas, A New, K Arhin, JN Kuruzovich, M Magdon-Ismail, ... 2019 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2019 | 6 | 2019 |
Contextualizing the Accuracy-Fairness Tradeoff in Algorithmic Prediction Outcomes K Arhin, D Treku In Proceedings of the 57th Hawaii International Conference on Systems …, 2024 | 1 | 2024 |
Empowering Voices: The Impact of Social Media Platform Policies on Amplifying Engagement for Marginalized Groups T Singh, N Langer, K Arhin | | 2024 |
Cracking the Code: Examining Linguistic Elements in Adversarial Prompt Engineering K Arhin, H Jia | | 2024 |
Oversampling Higher-Performing Minorities During Machine Learning Model Training Reduces Adverse Impact Slightly but Also Reduces Model Accuracy L Hickman, J Kuruzovich, V Ng, K Arhin, D Wilson arXiv preprint arXiv:2304.13933, 2023 | | 2023 |