Machine Learning and Data Classification

This cluster of papers focuses on the challenges and techniques for learning with noisy labels in machine learning, including methods for hyperparameter optimization, instance selection, robust learning, and automated machine learning. It also explores the use of meta-learning and deep neural networks in handling noisy label problems, particularly in the context of classification tasks and learning from positive and unlabeled data.

Journals publishing in this area

1

Machine Learning

Machine Learning

ISSN 0885-6125557 articles in this topic

260h-index

2.73Impact

3.9KArticles

620.6KCitations

2

Pattern Recognition

ISSN 0031-3203491 articles in this topic

300h-index

5.49Impact

15.9KArticles

723.2KCitations