6 citations · 6 across the 2 of their papers we have counts for
2 papers
cs.LG2026
CRISP: Scalable Importance-Stratified Coresets for Imbalanced Tabular Learning
Hardhik Mohanty, Indrayana Rustandi, Mohamadreza Sheibani
Large imbalanced tabular datasets make repeated gradient-boosted tree training expensive. Existing coreset methods often lose accuracy when most majority examples are removed. We p…
cs.LG2021★ 6 cited
Adaptive Local Kernels Formulation of Mutual Information with Application to Active Post-Seismic Building Damage Inference
Mohamadreza Sheibani, Ge Ou
The abundance of training data is not guaranteed in various supervised learning applications. One of these situations is the post-earthquake regional damage assessment of buildings…