89 Result(s)
within
English
Artificial Intelligence
Data Mining and Knowledge Discovery
Dong-**ng Wang
Conference Paper
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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
A Dynamic Decision-Making Method Based on Ensemble Methods for Complex Unbalanced Data
Class imbalance has been proven to seriously hinder the precision of many standard learning algorithms. To solve this problem, a number of methods have been proposed, for example, the distance-based balancing ...
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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
Similarity-Aware Deep Attentive Model for Clickbait Detection
Clickbait is a type of web content advertisements designed to entice readers into clicking accompanying links. Usually, such links will lead to articles that are either misleading or non-informative, making th...
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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
Chinese Governmental Named Entity Recognition
Named entity recognition (NER) is a fundamental task in natural language processing and there is a lot of interest on vertical NER such as medical NER, short text NER etc. In this paper, we study the problem o...
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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
Sea Ice Change Detection from SAR Images Based on Canonical Correlation Analysis and Contractive Autoencoders
In this paper, we proposed a novel sea ice change detection method for Synthetic Aperture Radar (SAR) images based on Canonical Correlation Analysis (CCA) and Contractive Autoencoders (SCAEs). To alleviate the...
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Chapter and Conference Paper
Automatic 3D Garment Fitting Based on Skeleton Driving
In this paper, we propose an automated 3D garment fitting method. The proposed method can automatically position a 3D garment model onto a human model without any user manual intervention. Given a garment mode...
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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
Shortest Paths in HSI Space for Color Texture Classification
Color texture representation is an important step in the task of texture classification. Shortest paths was used to extract color texture features from RGB and HSV color spaces. In this paper, we propose to us...
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Chapter and Conference Paper
Automatic Accurate Infant Cerebellar Tissue Segmentation with Densely Connected Convolutional Network
The human cerebellum has been recognized as a key brain structure for motor control and cognitive function regulation. Investigation of brain functional development in the early life has recently been focusing...
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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
Using Crowdsourcing for Fine-Grained Entity Type Completion in Knowledge Bases
Recent years have witnessed the proliferation of large-scale Knowledge Bases (KBs). However, many entities in KBs have incomplete type information, and some are totally untyped. Even worse, fine-grained types (e....
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Chapter and Conference Paper
ExtTra: Short-Term Traffic Flow Prediction Based on Extremely Randomized Trees
Short-term traffic flow prediction is an important task for intelligent transportation systems. Conventional time series based approaches such as ARIMA can hardly reflect the inter-dependence of related roads....
