Exabytes of data are generated daily by humans, leading to the growing needs for new
efforts in dealing with the grand challenges for multi-label learning brought by big data. For …

Recent advances in intelligent transportation system allow traffic safety studies to extend
from historic data-based analyses to real-time applications. The study presents a new …

Multi-label classification (MLC) has recently attracted increasing interest in the machine
learning community. Several studies provide surveys of methods and datasets for MLC, and …

There is a rapid evolution in highway investigation due to the increased usage of vehicles.
Recently, various investigators have huge attention to the Intelligent Transportation System …

In recommender systems (RSs), explicit information is often preferred over implicit because it
is much more accurate than implicit or predicted information; for example, the user can enter …

摘要Web texts contain a great deal of implicit geospatial information, which provide great
potential for the geographic knowledge acquisition and service. Geographic knowledge …

It is a fact that most of the rumours related to hot events or emergencies can be propagated
rapidly on the hotbed of online social networks. In order to track the standpoints of the …

Purpose This study aims to understand the impact of underlying theme in the communication
on social media on funding received by early-stage start-ups. Design/methodology …

Smart technologies such as artificial intelligence, the Internet of Things, and other cyber-
physical systems are often associated to Industry 4.0 given their potential for transforming …

Text classification is a foundational task in many natural language processing applications.
All traditional text classifiers take words as the basic units and conduct the pre-training …