Abstract: Label noise is not uncommon in machine learning applications nowadays and imposes great challenges for many existing classifiers. In this paper we propose a new type of auto-encoder coined ...

This project demonstrates how Label Encoding is used in Google Colab and then uploaded to GitHub. Label Encoding converts text categories into numeric labels so machine learning models can understand ...

Label encoding is a technique in machine learning used to convert categorical data into numerical data. Categorical data includes any data that can be divided into a few categories or groups, like ...

Abstract: Multimodal emotion recognition (MER) aims to identify human emotions by combining data from various modalities such as language, audio, and vision. Despite the recent advances of MER ...