This paper presents a system for multi-label classification of text data processed in
Call/Contact Centre (CC) systems. The solution presented herein constitutes a significant …

Purpose The automatic extraction of knowledge about intervention execution from surgical
manuals would be of the utmost importance to develop expert surgical systems and …

Optimizing text preprocessing and text classification algorithms is an important, everyday
task in large organizations and companies and it usually involves a labor-intensive and time …

Due to the Covid-19 pandemic which started in the year 2020, many nations had imposed
lockdown to curb the spread of this virus. People have been sharing their experiences and …

The past decade has witnessed the rapid development of natural language processing and
machine learning in the phishing detection domain. However, there needs to be more …

E-mail is widespread in the modern commercial environment, providing an appropriate and
efficient method for communication. However, today's e-mail security threats are multiplying …

针对漏洞检测领域面临的实验平台不统一, 数据集异构等问题, 研究词向量模型在C/C++
函数漏洞检测方面的应用. 用5 种词向量模型对源代码生成的抽象语法树结构进行知识表示, 用6 …

The advancements in technology during the 20th century resulted in the onset of the digital
computer era. This study investigates the relative importance of earlier algorithms in …

The latest generation of robotic systems is becoming increasingly autonomous due to
technological advancements and artificial intelligence. The medical field, particularly …

Aiming at the problems of non-uniform experimental platforms and heterogeneous datasets
faced in the field of vulnerability detection, we studied the application of word vector models …