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Combating Fake News: A Survey on Identification and Mitigation Techniques
The proliferation of fake news on social media has opened up new directions of research for timely identification and containment of fake news and mitigation of its widespread impact on public opinion. While much of the earlier research was focused on ...
Co-saliency Detection with Graph Matching
Recently, co-saliency detection, which aims to automatically discover common and salient objects appeared in several relevant images, has attracted increased interest in the computer vision community. In this article, we present a novel graph-matching ...
Location-Specific Influence Quantification in Location-Based Social Networks
Location-based social networks (LBSNs) such as Foursquare offer a platform for users to share and be aware of each other’s physical movements. As a result of such a sharing of check-in information with each other, users can be influenced to visit (or ...
Predicting Academic Performance for College Students: A Campus Behavior Perspective
Detecting abnormal behaviors of students in time and providing personalized intervention and guidance at the early stage is important in educational management. Academic performance prediction is an important building block to enabling this pre-...
Motion-Aware Compression and Transmission of Mesh Animation Sequences
With the increasing demand in using 3D mesh data over networks, supporting effective compression and efficient transmission of meshes has caught lots of attention in recent years. This article introduces a novel compression method for 3D mesh animation ...
Online Heterogeneous Transfer Learning by Knowledge Transition
In this article, we study the problem of online heterogeneous transfer learning, where the objective is to make predictions for a target data sequence arriving in an online fashion, and some offline labeled instances from a heterogeneous source domain ...
CNNs Based Viewpoint Estimation for Volume Visualization
Viewpoint estimation from 2D rendered images is helpful in understanding how users select viewpoints for volume visualization and guiding users to select better viewpoints based on previous visualizations. In this article, we propose a viewpoint ...
A Semi-Boosted Nested Model With Sensitivity-Based Weighted Binarization for Multi-Domain Network Intrusion Detection
Effective network intrusion detection techniques are required to thwart evolving cybersecurity threats. Historically, traditional enterprise networks have been researched extensively in this regard. However, the cyber threat landscape has grown to ...
A Local Mean Representation-based K-Nearest Neighbor Classifier
K-nearest neighbor classification method (KNN), as one of the top 10 algorithms in data mining, is a very simple and yet effective nonparametric technique for pattern recognition. However, due to the selective sensitiveness of the neighborhood size k, ...
Recognizing Multi-Agent Plans When Action Models and Team Plans Are Both Incomplete
Multi-Agent Plan Recognition (MAPR) aims to recognize team structures (which are composed of team plans) from the observed team traces (action sequences) of a set of intelligent agents. In this article, we introduce the problem formulation of MAPR based ...
Using Social Dependence to Enable Neighbourly Behaviour in Open Multi-Agent Systems
Agents frequently collaborate to achieve a shared goal or to accomplish a task that they cannot do alone. However, collaboration is difficult in open multi-agent systems where agents share constrained resources to achieve both individual and shared ...
Exploiting the Value of the Center-dark Channel Prior for Salient Object Detection
Saliency detection aims to detect the most attractive objects in images and is widely used as a foundation for various applications. In this article, we propose a novel salient object detection algorithm for RGB-D images using center-dark channel ...
