5 citations · 9 across the 2 of their papers we have counts for
2 papers
cs.LG2020★ 5 cited
A Skew-Sensitive Evaluation Framework for Imbalanced Data Classification
Min Du, Nesime Tatbul, Brian Rivers +7
Class distribution skews in imbalanced datasets may lead to models with prediction bias towards majority classes, making fair assessment of classifiers a challenging task. Metrics…
cs.CV2020★ 4 cited
Model Generalization in Deep Learning Applications for Land Cover Mapping
Lucas Hu, Caleb Robinson, Bistra Dilkina
Recent work has shown that deep learning models can be used to classify land-use data from geospatial satellite imagery. We show that when these deep learning models are trained on…