32 Result(s)
within
Conference Paper
Dong-**ng Wang
English
Artificial Intelligence
Computer Communication Networks
Data Mining and Knowledge Discovery
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Chapter and Conference Paper
Efficient Dual-Process Cognitive Recommender Balancing Accuracy and Diversity
In this paper, we propose a dual-process cognitive recommendation system for sequential recommendations. The framework includes an intuitive representation module (System 1) and an inference module (System 2)....
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Chapter and Conference Paper
PhotoStylist: Altering the Style of Photos Based on the Connotations of Texts
The need to modify a photo to reflect the connotations of a text can arise due to multifarious reasons (e.g., a musician might modify a photo in the album cover to better reflect the connotations in her song l...
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Chapter and Conference Paper
AA-LSTM: An Adversarial Autoencoder Joint Model for Prediction of Equipment Remaining Useful Life
Remaining Useful Life (RUL) prediction of equipment can estimate the time when equipment reaches the safe operating limit, which is essential for strategy formulation to reduce the possibility of loss due to u...
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Chapter and Conference Paper
Link Prediction of Heterogeneous Information Networks Based on Frequent Subgraph Evolution
The problem of link prediction in heterogeneous information networks has been widely studied in recent years. It is essential to grasp the evolution law for both static information networks and dynamic informa...
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Chapter and Conference Paper
GLAD-PAW: Graph-Based Log Anomaly Detection by Position Aware Weighted Graph Attention Network
Anomaly detection is a crucial and challenging subject that has been studied within diverse research areas. In this work, we focus on log data (especially computer system logs) which is a valuable source to in...
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Chapter and Conference Paper
Deep Attributed Network Embedding Based on the PPMI
The attributed network embedding aims to learn the latent low-dimensional representations of nodes, while preserving the neighborhood relationship of nodes in the network topology as well as the similarities o...
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Chapter and Conference Paper
Joint Deep Recurrent Network Embedding and Edge Flow Estimation
The two most important tasks of network analysis are network embedding and edge flow estimation. The network embedding task seeks to represent each node as a continuous vector, and the edge flow estimation see...
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Chapter and Conference Paper
Automatic Detection of Solar Radio Spectrum Based on Codebook Model
Space weather can affect human production and life, and solar radio burst will seriously affect space weather. Automatic detection of solar radio bursts in real time has a positive effect on space weather warn...
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Chapter and Conference Paper
Combating Uncertainty with Novel Losses for Automatic Left Atrium Segmentation
Segmenting left atrium in MR volume holds great potentials in promoting the treatment of atrial fibrillation. However, the varying anatomies, artifacts and low contrasts among tissues hinder the advance of bot...
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Chapter and Conference Paper
Urban Data Acquisition Routing Approach for Vehicular Sensor Networks
Vehicular sensor networks have emerged as a new wireless sensor network paradigm that is envisioned to revolutionize the human driving experiences and traffic control systems. Like conventional sensor networks...
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Chapter and Conference Paper
Multi-view Spectral Clustering via Multi-view Weighted Consensus and Matrix-Decomposition Based Discretization
In recent years, multi-view clustering has been widely used in many areas. As an important category of multi-view clustering, multi-view spectral clustering has recently shown promising advantages in partition...
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Chapter and Conference Paper
Research on Auto-Generating Test-Paper Model Based on Spatial-Temporal Clustering Analysis
In the process of auto-generating test-paper, the category and the difficulty of the title plays a key role in the quality of generating test-paper. It will produce low quality questions and hard to popularize...
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Chapter and Conference Paper
Low-Rank and Sparse Cross-Domain Recommendation Algorithm
In this paper, we propose a novel Cross-Domain Collaborative Filtering (CDCF) algorithm termed Low-rank and Sparse Cross-Domain (LSCD) recommendation algorithm. Different from most of the CDCF algorithms which...
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Chapter and Conference Paper
Volume-Based Analysis of 6-Month-Old Infant Brain MRI for Autism Biomarker Identification and Early Diagnosis
Autism spectrum disorder (ASD) is mainly diagnosed by the observation of core behavioral symptoms. Due to the absence of early biomarkers to detect infants either with or at-risk of ASD during the first postnatal...
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Chapter and Conference Paper
Multi-information Fusion Based Mobile Attendance Scheme with Face Recognition
There are some problems in traditional classroom attendances, such as complex interaction, masquerading, waste of time and information out of sync. A novel class attendance scheme is proposed based on face rec...
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Chapter and Conference Paper
The Wide and Deep Flexible Neural Tree and Its Ensemble in Predicting Long Non-coding RNA Subcellular Localization
The long non-coding RNA (lncRNA) is a hot research topic among researchers in the field of biology. Recent studies have illustrated that the subcellular localizations carry salient information to understand t...
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Chapter and Conference Paper
A Semantic Context Model for Automatic Image Annotation
How to retrieve a required image from tens of thousands of images is challenging task. In this paper, we proposed a novel semantic context model for automatic annotation with context and spatial information. ...
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Chapter and Conference Paper
Identifying Transportation Modes Using Gradient Boosting Decision Tree
Identifying the transportation modes could be applicable to many applications including personalized recommendation, transportation planning. The existing studies had not fully considered the impact of geogra...
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Chapter and Conference Paper
Attributed Network Embedding with Micro-meso Structure
Recently, network embedding has received a large amount of attention in network analysis. Although some network embedding methods have been developed from different perspectives, on one hand, most of the exist...
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Chapter and Conference Paper
LWMC: A Locally Weighted Meta-Clustering Algorithm for Ensemble Clustering
The last decade has witnessed a rapid development of the ensemble clustering technique. Despite the great progress that has been made, there are still some challenging problems in the ensemble clustering resea...
