SMOTE-VAR: An Uncertainty-Aware Oversampling Method for Predicting Depression Remission in University Students

arXiv:2608.30102 · cs.LG · Submitted 2026-08-31 · Read on arXiv

cs.LG

Submitted: 2026-08-31

Updated: 2026-08-31

Terminology

• AUC — 15× in this paper · explained in 2 episodes
• Accuracy — 12× in this paper · explained in 1 episode
• Gaussian Process — 5× in this paper
• Receiver Operating Characteristic — 4× in this paper
• Ablation — 3× in this paper · explained in 1 episode
• Ablation Studies — 2× in this paper · explained in 1 episode
• Adam — 2× in this paper · explained in 2 episodes
• Bayesian Optimization — 2× in this paper · explained in 3 episodes
• Consistency — 2× in this paper · explained in 3 episodes
• Decision Tree — 2× in this paper
• Generalization — 2× in this paper · explained in 13 episodes
• Random Forest — 2× in this paper
• Robustness — 2× in this paper · explained in 5 episodes
• Support Vector Machine — 2× in this paper
• Area Under the Curve — 1× in this paper
• Benchmarking — 1× in this paper · explained in 3 episodes
• Clustering — 1× in this paper · explained in 2 episodes
• Curse of Dimensionality — 1× in this paper · explained in 6 episodes
• Feature Engineering — 1× in this paper · explained in 3 episodes
• Feature Extraction — 1× in this paper · explained in 2 episodes
• Generative Model — 1× in this paper · explained in 2 episodes
• Generative Modeling — 1× in this paper · explained in 3 episodes
• Generative Models — 1× in this paper · explained in 2 episodes
• Global Positioning System — 1× in this paper
• Latent Space — 1× in this paper · explained in 7 episodes

Sources

• Large Language Models for Imbalanced Classification: Diversity makes the difference

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