3,677 Result(s)
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Chapter and Conference Paper
Balanced and Explainable Social Media Analysis for Public Health with Large Language Models
As social media becomes increasingly popular, more and more public health activities emerge, which is worth noting for pandemic monitoring and government decision-making. Current techniques for public health a...
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Chapter and Conference Paper
Why Query Plans Are Different: An Automatic Detection and Inference System
Preventing plan regression has always been a demanding task. SQL tuning advisor, e.g., index advisor, and optimizer testing tool are two common solutions. The former is proposed for database users to avoid a s...
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Chapter and Conference Paper
Efficient Maximum Relative Fair Clique Computation in Attributed Graphs
Cohesive subgraph mining is a fundamental problem in attributed graph analysis. However, the existing models on attributed graphs ignore the fairness of attributes. In this paper, we propose a novel model, cal...
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Chapter and Conference Paper
Discovering Densest Subgraph over Heterogeneous Information Networks
Densest Subgraph Discovery (DSD) is a fundamental and challenging problem in the field of graph mining in recent years. The DSD aims to determine, given a graph G, the subgraph with the maximum density according ...
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Chapter and Conference Paper
Automatic Short Answer Grading in College Mathematics Using In-Context Meta-learning: An Evaluation of the Transferability of Findings
Mathematics teachers use open-ended (OE) problems to inspire creativity, facilitate learning by self-explanation, and encourage transfer learning. While these types of problems are pedagogically valuable, stud...
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Chapter and Conference Paper
Intelligent Decision Making for Tanker Air Control Conflict Deployment
Flight conflict, as the highest level of safety in air traffic control operation, has always been the focus of air control work. The research of air traffic control conflict deployment intelligence technology ...
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Chapter and Conference Paper
Eliminating Contextual Bias in Aspect-Based Sentiment Analysis
Pretrained language models (LMs) have made remarkable achievements in aspect-based sentiment analysis (ABSA). However, it is discovered that these models may struggle in some particular cases (e.g., to detect ...
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Chapter and Conference Paper
A First Step in Using Machine Learning Methods to Enhance Interaction Analysis for Embodied Learning Environments
Investigating children’s embodied learning in mixed-reality environments, where they collaboratively simulate scientific processes, requires analyzing complex multimodal data to interpret their learning and co...
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Chapter and Conference Paper
Nonmonotone Submodular Maximization Under Routing Constraints
In machine learning and big data, the optimization objectives based on set-cover, entropy, diversity, influence, feature selection, etc. are commonly modeled as submodular functions. Submodular (function) maxi...
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Chapter and Conference Paper
A Phrase-Level Attention Enhanced CRF for Keyphrase Extraction
Since sequence labeling-based methods take into account the dependencies between neighbouring labels, they have been widely used for keyphrase prediction. Existing methods mainly focus on the word-level sequen...
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Chapter and Conference Paper
Generalized Properties of Generalized Fuzzy Sets GFScom and Its Application
Negative information plays an essential role in knowledge representation and commonsense inference. We further continually develop the theory of a generalized fuzzy set with contradictory, opposite and medium ...
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Chapter and Conference Paper
Maximum Fairness-Aware (k, r)-Core Identification in Large Graphs
Cohesive subgraph mining is a fundamental problem in attributed graph analysis. The k-core model has been widely used in many studies to measure the cohesiveness of subgraphs. However, none of them considers the ...
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Chapter and Conference Paper
ChatGPT for Education Research: Exploring the Potential of Large Language Models for Qualitative Codebook Development
In qualitative data analysis, codebooks offer a systematic framework for establishing shared interpretations of themes and patterns. While the utility of codebooks is well-established in educational research, ...
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Chapter and Conference Paper
RIGHT: Retrieval-Augmented Generation for Mainstream Hashtag Recommendation
Automatic mainstream hashtag recommendation aims to accurately provide users with concise and popular topical hashtags before publication. Generally, mainstream hashtag recommendation faces challenges in the c...
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Chapter and Conference Paper
WebSAM-Adapter: Adapting Segment Anything Model for Web Page Segmentation
With the advancement of internet technology, web page segmentation, which aims to divide web pages into semantically coherent units, has become increasingly crucial for web-related applications. Conventional p...
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Chapter and Conference Paper
IFGNN: An Individual Fairness Awareness Model for Missing Sensitive Information Graphs
Graph neural networks (GNNs) provide an approach for analyzing complicated graph data for node, edge, and graph-level prediction tasks. However, due to societal discrimination in real-world applications, the l...
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Chapter and Conference Paper
Discovering Graph Differential Dependencies
Graph differential dependencies (GDDs) are a novel class of integrity constraints in property graphs for capturing and expressing the semantics of difference in graph data. They are more expressive, and subsume o...
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Chapter and Conference Paper
Balanced Hop-Constrained Path Enumeration in Signed Directed Graphs
Hop-constrained path enumeration, which aims to output all the paths from two distinct vertices within the given hops, is one of the fundamental tasks in graph analysis. Previous works about this problem mainl...
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Chapter and Conference Paper
Construction of a Sanitizable Signature and Its Application in Blockchain
A sanitizable signature allows the signer delegate partial signing rights to a trusted sanitizer, who can change certain fields of the original message, while the authenticity of other data in the message is s...
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Chapter and Conference Paper
Ethical AIED and AIED Ethics: Toward Synergy Between AIED Research and Ethical Frameworks
Ethical issues matter for artificial intelligence in education (AIED). Simultaneously, there is a gap between fundamental ethical critiques of AIED research goals and research practices doing ethical good. Thi...
