67 Result(s)
within
English
Artificial Intelligence
Data Mining and Knowledge Discovery
Database Management
Yi**ang Chen
Conference Paper
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Chapter and Conference Paper
MA-TREX: Mutli-agent Trajectory-Ranked Reward Extrapolation via Inverse Reinforcement Learning
Trajectory-ranked reward extrapolation (T-REX) provides a general framework to infer users’ intentions from sub-optimal demonstrations. However, it becomes inflexible when encountering multi-agent scenarios, d...
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Chapter and Conference Paper
Fine-Tuned Transformer Model for Sentiment Analysis
Sentiment analysis is one of important natural language processing (NLP) tasks. The transformer-based language models have become new baseline in sentiment analysis tasks in recent years. These models trained ...
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Chapter and Conference Paper
End-to-End Multi-task Learning for Allusion Detection in Ancient Chinese Poems
Much efforts have been devoted to research about ancient Chinese poems. However, tasks around allusions, a fundamental element of ancient Chinese poetry, has received little attention. To mitigate this gap, we...
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Chapter and Conference Paper
Using EDA-Based Local Search to Improve the Performance of NSGA-II for Multiobjective Semantic Web Service Composition
Service-oriented computing is a computing paradigm that creates reusable modules over the Internet, often known as Web services
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Chapter and Conference Paper
Anomaly Subsequence Detection with Dynamic Local Density for Time Series
Anomaly subsequence detection is to detect inconsistent data, which...
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Chapter and Conference Paper
Composing Distributed Data-Intensive Web Services Using Distance-Guided Memetic Algorithm
Web services are fundamental elements of distributed computing and ...
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Chapter and Conference Paper
Physiological Indicators for User Trust in Machine Learning with Influence Enhanced Fact-Checking
Trustworthy Machine Learning (ML) is one of significant challenges of “black-box” ML for its wide impact on practical applications. This paper investigates the effects of presentation of influence of training ...
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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
A Multi-objective Optimization Algorithm Based on Preference Three-Way Decomposition
Most of refining processes were optimized using single objective approach, but practically such complex processes must be optimized with several objectives. Inspired by the theory of three-way decisions, a mul...
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Chapter and Conference Paper
Partially Observable Reinforcement Learning for Sustainable Active Surveillance
Active surveillance is the most effective strategy in the applications of infectious disease prevention, road network optimization, crime reconnaissance, etc. However, the incomplete data collected from partia...
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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...
