9 Result(s)
within
Computer Science
Artificial Intelligence
Complex Systems
Qing-**ang Wang
-
Article
Open AccessSemantic Spectral Clustering with Contrastive Learning and Neighbor Mining
Deep spectral clustering techniques are considered one of the most efficient clustering algorithms in data mining field. The similarity between instances and the disparity among classes are two critical factor...
-
Article
Open AccessIntuitionistic Fuzzy Extreme Learning Machine with the Truncated Pinball Loss
Fuzzy extreme learning machine (FELM) is an effective algorithm for dealing with classification problems with noises, which uses a membership function to effectively suppress noise in data. However, FELM has t...
-
Article
Open AccessDE3TC: Detecting Events with Effective Event Type Information and Context
Event Detection (ED) is a crucial information extraction task that aims to identify the event triggers and classify them into predefined event types. However, most existing methods did not perform well when pr...
-
Article
Open AccessTLC-XML: Transformer with Label Correlation for Extreme Multi-label Text Classification
Extreme multi-label text classification (XMTC) annotates related labels for unknown text from large-scale label sets. Transformer-based methods have become the dominant approach for solving the XMTC task due t...
-
Article
Dilated Transformer with Feature Aggregation Module for Action Segmentation
Segmenting human actions in long untrimmed videos is challenging due to the complicated temporal correlations between actions and over-segmentation errors. Although Transformer architectures have advanced corr...
-
Article
Forecasting Monthly Tourism Demand Using Enhanced Backpropagation Neural Network
The accurate forecasting of monthly tourism demand can improve tourism policies and planning. However, the complex nonlinear characteristics of monthly tourism demand complicate forecasting. This study propose...
-
Chapter
Network Community Discovery with Evolutionary Multi-objective Optimization
As described in the previous chapters, the community discovery problems can be formulated as single-objective optimization problems. But it is difficult for single-objective optimization algorithms to reveal c...
-
Chapter
Network Community Discovery with Evolutionary Single-Objective Optimization
Network community detection is one of the most fundamental problems in network structure analytics. With the modularity and modularity density being put forward, network community detection is formulated as a ...
-
Chapter
Introduction
Complex network structure analytics contribute greatly to the understanding of complex systems, such as Internet, social network, and biological network. Many issues in network structure analytics, for example...
