11 citations · 11 across the 3 of their papers we have counts for
3 papers
Expertise-based Weighting for Regression Models with Noisy Labels
Milene Regina dos Santos, Rafael Izbicki
Regression methods assume that accurate labels are available for training. However, in certain scenarios, obtaining accurate labels may not be feasible, and relying on multiple spe…
Is augmentation effective to improve prediction in imbalanced text datasets?
Gabriel O. Assunção, Rafael Izbicki, Marcos O. Prates
Imbalanced datasets present a significant challenge for machine learning models, often leading to biased predictions. To address this issue, data augmentation techniques are widely…
High-Dimensional Density Ratio Estimation with Extensions to Approximate Likelihood Computation
Rafael Izbicki, Ann B. Lee, Chad M. Schafer
The ratio between two probability density functions is an important component of various tasks, including selection bias correction, novelty detection and classification. Recently,…