1 Department of Computer Science, Rochester Institute of Technology, Rochester, USA. 2 Department of Computer Science, Rutgers University, New Brunswick, USA. Language identification is a fundamental ...

ABSTRACT: Since transformer-based language models were introduced in 2017, they have been shown to be extraordinarily effective across a variety of NLP tasks including but not limited to language ...

In an era of rapidly growing multimedia data, the need for robust and efficient classification systems has become critical, specifically the identification of class names and poses or styles. This ...

Early prediction of acute respiratory distress syndrome (ARDS) after liver transplantation (LT) facilitates timely intervention. We aimed to develop a predictor of post-LT ARDS using machine learning ...

In this study we seek to predict employee attrition with KNN clustering and Naive Bayes, and to predict employee salary using multiple linear regression ...

Naive Bayes is a probabilistic machine learning algorithm that can be used to solve a wide range of classification problems. Typical applications include spam filtering, document classification, ...

Abstract: Fashion is considered as a cycle of reflection of unique social, cultural and environmental characteristics in time besides playing an important role in completing one's self-image. Current ...

Abstract: The Naive Bayes classifier is a popular machine learning method for text classification because it is fast and easy to implement and performs well. Its severe assumption that each feature ...