News

A research group led by Associate Professor Naoki Masuyama and Professor Yusuke Nojima of the Osaka Metropolitan University Graduate School of Informatics, has developed a new method that combines classification performance for data with multiple labels, with the ability to continually learn with data. Numerical experiments on real-world multi-label datasets showed that the proposed method outperforms conventional methods.
The research results were published in IEEE Transactions on Pattern Analysis and Machine Intelligence on December 19, 2022.

Please follow the link below for further information.

https://www.omu.ac.jp/en/info/research-news/entry-22331.html