Creating Balanced Multi-Label Datasets for Model Training and Evaluation., by Pixelatedbrian, GumGum Tech Blog

Splitting multi-label data in a balanced manner is a non-trivial task which has some subtle complexities. In this blog post, I review several algorithm implementations and attempt to find the best…

Imbalanced datasets with imbalanced-learn - David Ten

Creating Balanced Multi-Label Datasets for Model Training and Evaluation., by Pixelatedbrian, GumGum Tech Blog

Toward Robustness in Multi-label Classification: A Data Augmentation Strategy against Imbalance and Noise

Multi-label learning with missing labels using sparse global structure for label-specific features

How to Train a Fine-Grained Multilabel Classification Model on Noisy Data

Explaining the performance of multilabel classification methods with data set properties - Bogatinovski - 2022 - International Journal of Intelligent Systems - Wiley Online Library

Imbalance multi-label data learning with label specific features - ScienceDirect

Creating Balanced Multi-Label Datasets for Model Training and Evaluation., by Pixelatedbrian, GumGum Tech Blog

An introduction to MultiLabel classification - GeeksforGeeks

Explaining the performance of multilabel classification methods with data set properties - Bogatinovski - 2022 - International Journal of Intelligent Systems - Wiley Online Library