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…

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

Creating a balanced multi-label dataset for machine learning, by Adam K, GumGum Tech Blog

Multi-label classification with weak labels by learning label correlation and label regularization

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

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

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

AutoML for Multi-Label Classification: Overview and Empirical Evaluation

How to Make Artificial Intelligence (AI) and Machine Learning Work for You

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

Multi-label sampling based on local label imbalance - ScienceDirect

Creating a balanced multi-label dataset for machine learning, by Adam K, GumGum Tech Blog