IEEE

Learning Accurate Label-Specific Features From Partially Multilabeled Data

Abstract: Feature selection is an effective dimensionality reduction technique, which can speed up an algorithm and improve model performance such as predictive accuracy and result comprehensibility.
GitHub

simplysuvi/OFLC-wage-map

This project visualizes prevailing wage data published by the U.S. Department of Labor's Office of Foreign Labor Certification (OFLC) for Labor Condition Applications (LCAs). It enables interactive ...
TechCrunch

AI data labeler Handshake buys Cleanlab, an acquisition target of multiple others

AI data-labeling startup Handshake has acquired data label-auditing startup Cleanlab, the companies tell TechCrunch. Handshake began in 2013 as a platform for hiring college grads and launched a human ...
IEEE

Enhancing Multi-Label Text Classification by Incorporating Label Dependency to Handle Imbalanced Data

Abstract: Multi-label text classification (MLTC) holds significant importance in the field of data management and information retrieval, where the distribution of label samples often exhibits a ...