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Bash comment generation via data augmentation and semantic-aware CodeBERT
Understanding Bash code is challenging for developers due to its syntax flexibility and unique features. Bash lacks sufficient training data compared...
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Toward Sociotechnical AI: Map** Vulnerabilities for Machine Learning in Context
This paper provides an empirical and conceptual account on seeing machine learning models as part of a sociotechnical system to identify relevant...
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Aspect-level sentiment classification with fused local and global context
Sentiment analysis aims to determine the sentiment orientation of a text piece (sentence or document), but many practical applications require more...
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Tailoring responsible research and innovation to the translational context: the case of AI-supported exergaming
We discuss the implementation of Responsible Research and Innovation (RRI) within a project for the development of an AI-supported exergame for...
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Exploiting comments information to improve legal public opinion news abstractive summarization
Automatically generating a brief summary for legal-related public opinion news (LPO-news, which contains legal words or phrases) plays an important...
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Somebody is watching me? Analyzing privacy preferences in using visual AAL technology considering human-, technology-, and context-related factors
Changing age structures, increasing demands for care, and personnel shortages require innovative approaches to enable support for older and frail...
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A Unified Surface Geometric Framework for Feature-Aware Denoising, Hole Filling and Context-Aware Completion
Technologies for 3D data acquisition and 3D printing have enormously developed in the past few years, and, consequently, the demand for 3D virtual...
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Moving Beyond Benchmarks and Competitions: Towards Addressing Social Media Challenges in an Educational Context
Natural language processing and other areas of artificial intelligence have seen staggering progress in recent years, yet much of this is reported...
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Keyword-labeled self-admitted technical debt and static code analysis have significant relationship but limited overlap
Technical debt presents sub-optimal choices made in development, which are beneficial in the short term but not in the long run. Consciously admitted...
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Models and the Data Context
In this chapter, you are going to examine the data context and the creation of models, as well as look in a bit more detail about how these objects...
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Edge data based trailer inception probabilistic matrix factorization for context-aware movie recommendation
The rapid growth of edge data generated by mobile devices and applications deployed at the edge of the network has exacerbated the problem of...
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Training on Social Media Cybersecurity Skills in the Healthcare Context
In the last decades, social media has experienced exponential growth due to its popularity and advantages in communication, connection, and...
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KRec-C2: A Knowledge Graph Enhanced Recommendation with Context Awareness and Contrastive Learning
Knowledge graph (KG) has been widely utilized in recommendation system to its rich semantic information. There are two main challenges in real-world...
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VisDmk: visual analysis of massive emotional danmaku in online videos
Danmaku, a real-time comment function covering the top of the video, appears from the right of the video like a bullet and slides out horizontally...
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AI for hiring in context: a perspective on overcoming the unique challenges of employment research to mitigate disparate impact
Commentators interested in the societal implications of automated decision-making often overlook how decisions are made in the technology’s absence....
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Behind the Scenes: Exploring Context and Audience Engagement Behaviors in YouTube Vlogs
Famous video bloggers (vloggers) on YouTube can develop large audiences, which can be related to the gaining of audience engagement (AE), manifested...
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Relevant Cybersecurity: Curriculum Guidance for the South African Context
Cybersecurity is vital to most organisations, and it is important that Higher Education institutions ensure the relevance of degrees to meet industry...
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Context Correlation for Automated Dynamic Android App Analysis to Improve Impact Rating of Privacy and Security Flaws
Privacy and security flaws in apps are commonly detected by static and dynamic analysis approaches. However, the realistic impact rating for detected...
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Using a Data-Driven Context Model to Support the Elicitation of Context-Aware Functionalities – A Controlled Experiment
Background: Context modeling to support the elicitation of context-aware functionalities has been overlooked due to its high complexity. To help...