16 Result(s)
within
**jia Wu
Artificial Intelligence
Information Systems Applications (incl. Internet)
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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
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
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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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
Towards Effective Gait Recognition Based on Comprehensive Temporal Information Combination
In this paper, we propose a novel deep learning based framework to ...
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Chapter and Conference Paper
Modeling and Analysis of the Latency-Based Congestion Control Algorithm DX
Nowadays, low latency has become one of the primary goals of congestion control in data center networks. To achieve low latency, many congestion control algorithms have been proposed, wherein DX is the first ...
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Chapter and Conference Paper
Classifying DNA Methylation Imbalance Data in Cancer Risk Prediction Using SMOTE and Tomek Link Methods
Recent study shows that DNA methylation (DM) as a better biomarker and help in improving the dichotomous outcome (tumor/normal) based on several features. Over the past years, rapid advances in next-generation...
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Chapter and Conference Paper
Shortcut Sequence Tagging
Deep stacked RNNs are usually hard to train. Recent studies have shown that shortcut connections across different RNN layers bring substantially faster convergence. However, shortcuts increase the computationa...
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Chapter and Conference Paper
A Brain Network Inspired Algorithm: Pre-trained Extreme Learning Machine
Extreme learning machine (ELM) is a promising learning method for training “generalized” single hidden layer feedforward neural networks (SLFNs), which has attracted significant interest recently for its fast ...
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Chapter and Conference Paper
Erratum to: A Brain Network Inspired Algorithm: Pre-trained Extreme Learning Machine
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Chapter and Conference Paper
Mining Top-k Minimal Redundancy Frequent Patterns over Uncertain Databases
Frequent pattern mining from uncertain data has been paid closed attention due to most of the real life databases contain data with uncertainty. Several approaches have been proposed for mining high significan...
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Chapter and Conference Paper
Handwritten Character Recognition Based on Weighted Integral Image and Probability Model
A system of the off-line handwritten character recognition based on weighted integral image and probability model is built in this paper, which is divided into image preprocessing and character recognition. Th...
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Chapter and Conference Paper
Parallel OWL Reasoning: Merge Classification
Our research is motivated by the ubiquitous availability of multiprocessor computers and the observation that available Web Ontology Language (OWL) reasoners only make use of a single processor. This becomes rath...
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Chapter and Conference Paper
Integration and Development of On-Site Grain Yield Monitoring System Based on IPC
Variable Rate Technology (VRT) is the goal of precision agriculture. In ordet to realize VRT, it is necessary to measure yield accurately and build yield map in real time. A grain yield monitoring system based...
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Chapter and Conference Paper
A Depression Detection Model Based on Sentiment Analysis in Micro-blog Social Network
Datasets originating from social networks are valuable to many fields such as sociology and psychology. But the supports from technical perspective are far from enough, and specific approaches are urgently in ...
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Chapter and Conference Paper
Resilient Subclass Discriminant Analysis with Application to Prelens Tear Film Interferometry
The study of tear film thickness and breakup has important implications for understanding tear physiology and dynamics. We have developed a complete end-to-end automated system for robust and accurate measurem...
