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QC-SMOTE: Quality-Controlled SMOTE for Imbalanced Classification
QC-SMOTE: Quality-Controlled SMOTE for Imbalanced Classification
Arxiv
0+阅读 · 6月23日
Explainable AI for Mental Health Prediction in Drug-Affected Populations with Dragonfly Algorithm and GAN Oversampling
Arxiv
0+阅读 · 6月22日
ZeSTA: Zero-Shot TTS Augmentation with Domain-Conditioned Training for Data-Efficient Personalized Speech Synthesis
Arxiv
0+阅读 · 6月19日
ZeSTA: Zero-Shot TTS Augmentation with Domain-Conditioned Training for Data-Efficient Personalized Speech Synthesis
Arxiv
0+阅读 · 6月18日
CopulaSMOTE: A Copula-Based Oversampling Approach for Imbalanced Classification in Diabetes Prediction
Arxiv
0+阅读 · 5月25日
Towards More General Control of Diffusion Models Using Jeffrey Guidance
Arxiv
0+阅读 · 6月11日
Informative Path Planning with Guaranteed Estimation Uncertainty
Arxiv
0+阅读 · 5月11日
Data Balancing Strategies: A Systematic Survey of Resampling and Augmentation Methods
Arxiv
0+阅读 · 4月28日
Computing the Bottleneck Distance between Persistent Homology Transforms
Arxiv
0+阅读 · 4月9日
Do we need rebalancing strategies? A theoretical and empirical study around SMOTE and its variants
Arxiv
0+阅读 · 3月17日
SMOTE and Mirrors: Exposing Privacy Leakage from Synthetic Minority Oversampling
Arxiv
0+阅读 · 3月2日
Synthetic Oversampling: Theory and A Practical Approach Using LLMs to Address Data Imbalance
Arxiv
0+阅读 · 2月8日
Age of Job Completion Minimization with Stable Queues
Arxiv
0+阅读 · 2月16日
Understanding-informed Bias Mitigation for Fair CMR Segmentation
Arxiv
0+阅读 · 2月3日
Efficient Test-Time Scaling of Multi-Step Reasoning by Probing Internal States of Large Language Models
Arxiv
0+阅读 · 1月14日
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