-
Article
Open AccessA GAN-based genetic algorithm for solving the 3D bin packing problem
The 3D bin packing problem is a challenging combinatorial optimization problem with numerous real-world applications. In this paper, we present a novel approach for solving this problem by integrating a genera...
-
Chapter and Conference Paper
UCM: Personalized Document-Level Sentiment Analysis Based on User Correlation Mining
Personalized document-level sentiment analysis (PDSA) is important in various fields. Although various deep learning models for PDSA have been proposed, they failed to consider the correlations of rating behav...
-
Article
Open AccessMachine learning-driven credit risk: a systemic review
Credit risk assessment is at the core of modern economies. Traditionally, it is measured by statistical methods and manual auditing. Recent advances in financial artificial intelligence stemmed from a new wave...
-
Article
MR-DBSCAN: a scalable MapReduce-based DBSCAN algorithm for heavily skewed data
DBSCAN (density-based spatial clustering of applications with noise) is an important spatial clustering technique that is widely adopted in numerous applications. As the size of datasets is extremely large now...
-
Chapter and Conference Paper
Inferring Road Type in Crowdsourced Map Services
In crowdsourced map services, digital maps are created and updated manually by volunteered users. Existing service providers usually provide users with a feature-rich map editor to add, drop, and modify roads....
-
Chapter and Conference Paper
Multi-path GEM for Routing in Wireless Sensor Networks
Wireless sensor networks are expected to be used in many different applications such as disaster relief and environmental control. Efficient routing protocols need to be thoroughly studied before wireless sens...
