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Found 10 papers, 3 papers with code
Rethinking Software Engineering in the Foundation Model Era: A Curated Catalogue of Challenges in the Development of Trustworthy FMware
Finally, we (i) show how the unique properties of FMArts enabled us to design and develop a complex FMware for a large customer in a timely manner and (ii) discuss the lessons that we learned in doing so.
A First Look at Information Highlighting in Stack Overflow Answers
For training recommendation models, we choose CNN and BERT models for each type of formatting (i. e., Bold, Italic, Code, and Heading) using the information highlighting dataset we collected from SO answers.
eTOP: Early Termination of Pipelines for Faster Training of AutoML Systems
Recent advancements in software and hardware technologies have enabled the use of AI/ML models in everyday applications has significantly improved the quality of service rendered.
Ontology-aware Network for Zero-shot Sketch-based Image Retrieval
Zero-Shot Sketch-Based Image Retrieval (ZSSBIR) is an emerging task.
Metropolis Theorem and Its Applications in Single Image Detail Enhancement
Traditional image detail enhancement is local filter-based or global filter-based.
CitySpec with Shield: A Secure Intelligent Assistant for Requirement Formalization
The evaluation results on real-world city requirements show that CitySpec increases the sentence-level accuracy of requirement specification from 59. 02% to 86. 64%, and has strong adaptability to a new city and a new domain (e. g., the F1 score for requirements in Seattle increases from 77. 6% to 93. 75% with online learning).
An Intelligent Assistant for Converting City Requirements to Formal Specification
In this paper, we present CitySpec, an intelligent assistant system for requirement specification in smart cities.
CitySpec: An Intelligent Assistant System for Requirement Specification in Smart Cities
An increasing number of monitoring systems have been developed in smart cities to ensure that real-time operations of a city satisfy safety and performance requirements.
Mixed Reality Depth Contour Occlusion Using Binocular Similarity Matching and Three-dimensional Contour Optimisation
To evaluate the effectiveness of the algorithm, we demonstrate a time con-sumption statistical analysis for each stage of the DCO algorithm execution.
Visualizing Trends of Key Roles in News Articles
There are tons of news articles generated every day reflecting the activities of key roles such as people, organizations and political parties.
