35 Result(s)
within
English
Artificial Intelligence
Data Mining and Knowledge Discovery
Database Management
Information Storage and Retrieval
Yi**ang Chen
Conference Paper
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Chapter and Conference Paper
Artificial Intelligences on Automated Context-Brain Recognition with Mobile Detection Devices
In the past few decades, lots of studies were proposed on investigations of brain circuits for physical health, mental health, educational learning, controlling system and so on. However, very few studies conc...
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Chapter and Conference Paper
NTDA: Noise-Tolerant Data Augmentation for Document-Level Event Argument Extraction
Event argument extraction (EAE), aiming at identifying event arguments over multiple sentences, mainly faces data sparsity problem. Cross-domain data augmentation can leverage annotated data to augment trainin...
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Chapter and Conference Paper
Effects of Fairness and Explanation on Trust in Ethical AI
AI ethics has been a much discussed topic in recent years. Fairness and explainability are two important ethical principles for trustworthy AI. In this paper, the impact of AI explainability and fairness on us...
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Chapter and Conference Paper
Incorporating Ranking Context for End-to-End BERT Re-ranking
Ranking context has been shown crucial for the performance of learning to rank. Its use for the BERT-based re-rankers, however, has not been fully explored. In this work, an end-to-end BERT-based ranking model...
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Chapter and Conference Paper
On Robustness and Bias Analysis of BERT-Based Relation Extraction
Fine-tuning pre-trained models have achieved impressive performance on standard natural language processing benchmarks. However, the resultant model generalizability remains poorly understood. We do not know, ...
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Chapter and Conference Paper
Towards Nested and Fine-Grained Open Information Extraction
Open Information Extraction is a crucial task in natural language processing with wide applications. Existing efforts only work on extracting simple flat triplets that are not minimized, which neglect triplets...
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Chapter and Conference Paper
Distributed Differential Evolution for Anonymity-Driven Vertical Fragmentation in Outsourced Data Storage
Vertical fragmentation is a promising technique for outsourced data storage. It can protect data privacy while conserving original data without any transformation. Previous vertical fragmentation approaches ne...
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Chapter and Conference Paper
Unsupervised Entity Alignment Using Attribute Triples and Relation Triples
Entity alignment aims to find entities referring to the same real-world object across different knowledge graphs (KGs). Most existing works utilize the relations between entities contained in the relation trip...
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Chapter and Conference Paper
What Decides the Dropout in MOOCs?
Based on the datasets from the MOOCs of Peking University running on the Coursera platform, we extract 19 major features of tune in after analyzing the log structure. To begin with, we focus on the characteris...
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Chapter and Conference Paper
Exploiting Geographical Location for Team Formation in Social Coding Sites
Social coding sites (SCSs) such as GitHub and BitBucket are collaborative platforms where developers from different background (e.g., culture, language, location, skills) form a team to contribute to a shared ...
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Chapter and Conference Paper
Discovering Both Explicit and Implicit Similarities for Cross-Domain Recommendation
Recommender System has become one of the most important techniques for businesses today. Improving its performance requires a thorough understanding of latent similarities among users and items. This issue is ...
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Chapter and Conference Paper
Adaptive One-Class Support Vector Machine for Damage Detection in Structural Health Monitoring
Machine learning algorithms have been employed extensively in the area of structural health monitoring to compare new measurements with baselines to detect any structural change. One-class support vector machi...
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Chapter and Conference Paper
Exploring Celebrities on Inferring User Geolocation in Twitter
Location information of social media users provides crucial context to monitor real-time events such as natural disasters, terrorism and epidemics. Since only a small amount of social media data are geotagged,...
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Chapter and Conference Paper
Incorporating Heterogeneous Information for Mashup Discovery with Consistent Regularization
With the development of service oriented computing, web mashups which provide composite services are increasing rapidly in recent years, posing a challenge for the searching of appropriate mashups for a given ...
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Chapter and Conference Paper
TrafficWatch: Real-Time Traffic Incident Detection and Monitoring Using Social Media
Social media has become a valuable source of real-time information. Transport Management Centre (TMC) in Australian state government of New South Wales has been collaborating with us to develop TrafficWatch, a...
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Chapter and Conference Paper
WebBrain: Joint Neural Learning of Large-Scale Commonsense Knowledge
Despite the emergence and growth of numerous large knowledge graphs, many basic and important facts about our everyday world are not readily available on the Web. To address this, we present WebBrain, a new ap...
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Chapter and Conference Paper
Social Group Based Video Recommendation Addressing the Cold-Start Problem
Video recommendation has become an essential part of online video services. Cold start, a problem relatively common in the practical online video recommendation service, occurs when the user who needs video re...
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Chapter and Conference Paper
Image Representation Optimization Based on Locally Aggregated Descriptors
Aggregating local descriptors into super vectors achives excellent performance in image classification and retrieval tasks. Vector of locally aggregated descriptors(VLAD), which indexes images to compact represen...
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Chapter and Conference Paper
Who Will Be Affected by Supermarket Health Programs? Tracking Customer Behavior Changes via Preference Modeling
As obesity has become a worldwide problem, a number of health programs have been designed to encourage participants to maintain a healthier lifestyle. The stakeholders often desire to know how effective the pr...
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Chapter and Conference Paper
Interrelationships of Service Orchestrations
Despite topic models have been successfully used to reveal hidden orchestration patterns from service logs, the potential uses of their interrelationships have yet to be explored. In particular, the popularity...
