74 Result(s)
within
**jia Wu
Artificial Intelligence
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Chapter and Conference Paper
Improved AODV Routing Protocol Based on Multi-objective Simulated Annealing Algorithm
Ad Hoc network is a kind of common wireless mobile communication network. Unlike cellular mobile networks and wireless local area networks, Ad Hoc networks do not require preset base stations and are suitable ...
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Chapter and Conference Paper
PD-SRS: Personalized Diversity for a Fair Session-Based Recommendation System
Session-based Recommender Systems (SRSs), which aim to recommend users’ next action based on their current and historical sessions, play a significant role in many real-world online services. The existing sess...
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Chapter and Conference Paper
KIR: A Knowledge-Enhanced Interpretable Recommendation Method
Recommendation System (RS) is of great significance for screening adequate information and improving the efficiency of information acquisition. The existing recommendation methods can improve the accuracy of t...
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Chapter and Conference Paper
Data Analytics Research in Nonprofit Organisations: A Bibliometric Analysis
Profitable organisations that applied data analytics have obtained a double-digit improvement in reducing costs, predicting demands, and enhancing decision-making. However, in nonprofit organisations (NPOs), a...
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Chapter and Conference Paper
Spine-Rib Segmentation and Labeling via Hierarchical Matching and Rib-Guided Registration
Accurate segmentation and labeling of spine-rib are of great importance for clinical spine and rib diagnosis and treatment. In clinical applications, the spine-rib segmentation and labeling are often challengi...
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Chapter and Conference Paper
CorLab-Net: Anatomical Dependency-Aware Point-Cloud Learning for Automatic Labeling of Coronary Arteries
Automatic coronary artery labeling is essential yet challenging step in coronary artery disease diagnosis for clinician. Previous methods typically overlooked rich relationships with heart chamber and also mor...
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Chapter and Conference Paper
VertNet: Accurate Vertebra Localization and Identification Network from CT Images
Accurate localization and identification of vertebrae from CT images is a fundamental step in clinical spine diagnosis and treatment. Previous methods have made various attempts in this task; however, they fai...
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Chapter and Conference Paper
Fast Rational Lanczos Method for the Toeplitz Symmetric Positive Semidefinite Matrix Functions
In this paper, we use the rational Lanczos method to approximate Toeplitz matrix functions, in which the matrices are symmetric positive semidefinite (SPSD). In order to reduce the computational cost, we use t...
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Chapter and Conference Paper
Multi-scale Segmentation Network for Rib Fracture Classification from CT Images
As the most common thoracic trauma, rib fracture classification is essential for clinical evaluation and treatment planning. However, it is challenging for manual identification and classification, due to the ...
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Chapter and Conference Paper
Hierarchical Phenoty** and Graph Modeling of Spatial Architecture in Lymphoid Neoplasms
The cells and their spatial patterns in the tumor microenvironment (TME) play a key role in tumor evolution, and yet the latter remains an understudied topic in computational pathology. This study, to the best...
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Chapter and Conference Paper
EN-DIVINE: An Enhanced Generative Adversarial Imitation Learning Framework for Knowledge Graph Reasoning
Knowledge Graphs (KGs) are often incomplete and sparse. Knowledge graph reasoning aims at completing the KG by predicting missing paths between entities. The reinforcement learning (RL) based method is one of...
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Chapter and Conference Paper
Predicting Symptoms from Multiphasic MRI via Multi-instance Attention Learning for Hepatocellular Carcinoma Grading
Liver cancer is the third leading cause of cancer death in the world, where the hepatocellular carcinoma (HCC) is the most common case in primary liver cancer. In general diagnosis, accurate prediction of HCC...
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Chapter and Conference Paper
Synthetic-to-Real Unsupervised Domain Adaptation for Scene Text Detection in the Wild
Deep learning-based scene text detection can achieve preferable performance, powered with sufficient labeled training data. However, manual labeling is time consuming and laborious. At the extreme, the corresp...
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Article
An efficient data packet iteration and transmission algorithm in opportunistic social networks
Effective data transmission is a key technology in researching opportunistic networks. Increased data packet transmission among nodes can easily cause the death of nodes, especially in social networks environm...
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Chapter and Conference Paper
Graph Convolutional Network Based Point Cloud for Head and Neck Vessel Labeling
Vessel segmentation and anatomical labeling are of great significance for vascular disease analysis. Because vessels in 3D images are the tree-like tubular structures with diverse shapes and sizes, and direct ...
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Chapter and Conference Paper
ReInCre: Enhancing Collaborative Filtering Recommendations by Incorporating User Rating Credibility
We present ReInCre (Demo video available at https://youtu.be/MyFczz7Vefo) as a solution demo for incorporating user rating credibility in Collaborative Filtering (CF) approach to enhance the recommendation per...
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Article
Open AccessFramework of Computational Intelligence-Enhanced Knowledge Base Construction: Methodology and A Case of Gene-Related Cardiovascular Disease
Knowledge base construction (KBC) aims to populate knowledge bases with high-quality information from unstructured data but how to effectively conduct KBC from scientific documents with limited preknowledge is...
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Chapter and Conference Paper
GroExpert: A Novel Group-Aware Experts Identification Approach in Crowdsourcing
Measuring workers’ abilities is a way to address the long standing problem of quality control in crowdsourcing. The approaches for measuring worker ability reported in recent work can be classified into two gr...
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Chapter and Conference Paper
Multi-Task Convolutional Neural Network for Joint Bone Age Assessment and Ossification Center Detection from Hand Radiograph
Bone age assessment is a common clinical procedure to diagnose endocrine and metabolic disorders in children. Recently, a variety of convolutional neural network based approaches have been developed to automat...
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Chapter and Conference Paper
Towards Effective Gait Recognition Based on Comprehensive Temporal Information Combination
In this paper, we propose a novel deep learning based framework to ...
