Time series classification (TSC) has emerged as a critical task in vario...
Having an intelligent dialogue agent that can engage in conversational
q...
One key challenge in multi-document summarization is to capture the rela...
Influence Maximization (IM), which aims to select a set of users from a
...
Although deep neural networks have achieved state-of-the-art performance...
Knowledge-aware methods have boosted a range of Natural Language Process...
Influence Maximization (IM), which aims to select a set of users from a
...
The next generation of the Internet of Things (IoT) facilitates the
inte...
Within natural language processing tasks, linguistic knowledge can alway...
Question answering (QA) systems provide a way of querying the informatio...
Quality sleep is very important for a healthy life. Nowadays, many peopl...
Building a dialogue system that can communicate naturally with humans is...
The Internet of Things (IoT) is an evolving network of billions of
inter...
The emerging paradigm of the Social Internet of Things (SIoT) has transf...
Since the term first coined in 1999 by Kevin Ashton, the Internet of Thi...
Multi-document summarization (MDS) is an effective tool for information
...
Visual Question Answering (VQA) has achieved great success thanks to the...
Adversarial attacks pose significant challenges for detecting adversaria...
In recent years, the emerging topics of recommender systems that take
ad...
Human activity recognition has gained importance in recent years due to ...
With the development of high computational devices, deep neural networks...
Recommender systems have recently attracted many researchers in the deep...
This article focuses on the complicated yet still relatively immature ar...
In the era of Web of Things and Services, Context-aware Web Services (CA...
With recent emerging technologies such as the Internet of Things (IoT),
...
Truth discovery has been widely studied in recent years as a fundamental...