118 Result(s)
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Chapter and Conference Paper
A Two-Stage Seeds Algorithm for Competitive Influence Maximization Considering User Demand
Competitive influence maximization (CIM) in online social network has received widespread attention and research in recent years. The traditional competitive influence maximization problem explores the competi...
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Chapter and Conference Paper
HPAN: A Hybrid Pose Attention Network for Person Re-Identification
To address the difficulty in expressing the correlation between different local features extracted by the current person re-identification feature extraction methods, and the challenge of effectively integrati...
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Chapter and Conference Paper
Aspect-Based Fake News Detection
The detection of misinformation as “fake news” is vital for a well-informed and highly functioning society. Most of the recent works on the identification of fake news make use of deep learning and large langu...
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Chapter and Conference Paper
Towards Network Implementation of CBR: Case Study of a Neural Network K-NN Algorithm
Recent research brings the strengths of neural networks to bear on CBR tasks such as similarity assessment and case adaptation. This paper further advances this direction by implementing both retrieval and ada...
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Chapter and Conference Paper
Preserving Potential Neighbors for Low-Degree Nodes via Reweighting in Link Prediction
Link prediction is an important task for graph data. Methods based on graph neural networks achieve high accuracy by simultaneously modeling the node attributes and structure of the observed graph. However, th...
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Chapter and Conference Paper
Federated Conversational Recommender Systems
Conversational Recommender Systems (CRSs) have become increasingly popular as a powerful tool for providing personalized recommendation experiences. By directly engaging with users in a conversational manner ...
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Chapter and Conference Paper
Countering Mainstream Bias via End-to-End Adaptive Local Learning
Collaborative filtering (CF) based recommendations suffer from mainstream bias – where mainstream users are favored over niche users, leading to poor recommendation quality for many long-tail users. In this pa...
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Chapter and Conference Paper
SALSA: Salience-Based Switching Attack for Adversarial Perturbations in Fake News Detection Models
Despite advances in fake news detection algorithms, recent research reveals that machine learning-based fake news detection models are still vulnerable to carefully crafted adversarial attacks. In this landsca...
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Chapter and Conference Paper
Make-A-Volume: Leveraging Latent Diffusion Models for Cross-Modality 3D Brain MRI Synthesis
Cross-modality medical image synthesis is a critical topic and has the potential to facilitate numerous applications in the medical imaging field. Despite recent successes in deep-learning-based generative mod...
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Chapter and Conference Paper
Soft Humanoid Finger with Magnetic Tactile Perception
The human skin is equipped with various receptors that sense external stimuli and provide tactile information to the body. Similarly, robots require sensors to perceive their environment and interact with it. ...
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Chapter and Conference Paper
Time Loss Aversion
The present paper introduces “Time Loss Aversion” - people’s tendency to fear previous misallocations of time, which then motivates people to change their future behaviour. Loss aversion has previously been ac...
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Chapter and Conference Paper
Evolution of Filter Bubbles and Polarization in News Recommendation
Recent work in news recommendation has demonstrated that recommenders can over-expose users to articles that support their pre-existing opinions. However, most existing work focuses on a static setting or over...
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Chapter and Conference Paper
Research on Film Visual Concept and Creative Method in the Era of Virtual Production
In the era of virtual production, digital film special effects are not only functional tools, but also essential means of expression. Film stunts have become a common means in films and a new film language. Wi...
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Chapter and Conference Paper
Optimal Formation of UUV Groups Based on Shape Theory and Improved Ant Colony Algorithm Under Communication Delay
Aiming at the path optimization of formation of Unmanned Underwater Vehicle (UUV) in the process of formation reorganization. Firstly, this paper describes the UUV formation on the basis of shape theory. Based...
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Chapter and Conference Paper
Multi-UUV Underwater Target Cooperative Detection Task Planning and Assignment
Multi-UUV collaboration is critical for ocean exploration missions. Aiming at the problem of underwater wreck coverage detection, this paper designs a task allocation method based on the biological balance pri...
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Chapter and Conference Paper
User Preference Prediction for Online Dialogue Systems Based on Pre-trained Large Model
Online conversation system user preference prediction can improve online conversation system to enhance the quality of the conversation. This paper design an online conversation quality preference assessment m...
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Chapter and Conference Paper
Design and Simulation of Heading Controller for Unmanned Boat Based on Fuzzy Neural PID
The combination of intelligent algorithms and heading control of unmanned vehicles can improve its motion control performance, but most of them are currently in the experimental simulation stage, which cannot ...
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Chapter and Conference Paper
Fast Nearest Convolution for Real-Time Efficient Image Super-Resolution
Deep learning-based single image super-resolution (SISR) approaches have drawn much attention and achieved remarkable success on modern advanced GPUs. However, most state-of-the-art methods require a huge numb...
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Chapter and Conference Paper
DeepParking: Deep Learning-Based Planning Method for Autonomous Parking
Planning methods for parking are an important topic in the realm of autonomous driving. To achieve successful parking, complicated maneuvers are required to be reasonably performed in a very limited space. Mor...
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Chapter and Conference Paper
A Novel Tactile Palm for Robotic Object Manipulation
Tactile sensing is of great importance during human hand usage such as object exploration, gras** and manipulation. Different types of tactile sensors have been designed during the past decades, which are ma...
