2 papers
cs.CY2025
Towards Fair and Privacy-Aware Transfer Learning for Educational Predictive Modeling: A Case Study on Retention Prediction in Community Colleges
Chengyuan Yao, Carmen Cortez, Renzhe Yu
Predictive analytics is widely used in learning analytics, but many resource-constrained institutions lack the capacity to develop their own models or rely on proprietary ones trai…
cs.LG2024
Fairness Hub Technical Briefs: Definition and Detection of Distribution Shift
Nicolas Acevedo, Carmen Cortez, Chris Brooks +2
Distribution shift is a common situation in machine learning tasks, where the data used for training a model is different from the data the model is applied to in the real world. T…