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minority-class-detection

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nikhilcoding0013 / NLP-in-Mental-Health_Research

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Research exploring how hyperparameter tuning, class-specific data augmentation, and MentalBERT's domain-specific architecture each contribute to improving multi-class mental health text classification and minority class detection.

nlp research deep-learning text-classification transformers pytorch mental-health hyperparameter-tuning bert data-augmentation huggingface mentalbert minority-class-detection
  • Updated Jul 7, 2026
  • Jupyter Notebook

sauravsingla / meta-learning-imbalance-classification

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A meta-learning framework for handling class imbalance in supervised learning tasks. Leverages episodic training and adaptive sampling to boost minority class performance across diverse domains.

pytorch ensemble-learning class-imbalance binary-classification meta-learning few-shot-learning cost-sensitive-learning optuna imbalanced-classification boundary-learning minority-class-detection rare-event-classification
  • Updated Jul 20, 2025
  • Python

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