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Interactive visualization is a common tool for exploring large open-data repositories, where users quickly explore datasets across diverse domains. When it comes to large-scale spatial data, many existing tools rely on server-side rendering…

Databases · Computer Science 2026-03-12 Tarlan Bahadori , Ahmed Eldawy

This paper presents LAGOON -- an open source platform for understanding the complex ecosystems of Open Source Software (OSS) communities. The platform currently utilizes spatiotemporal graphs to store and investigate the artifacts produced…

Social and Information Networks · Computer Science 2022-01-28 Sourya Dey , Walt Woods

Background. Within the software industry, it is commonly estimated that software professionals invest a substantial portion of their work hours in the process of understanding existing systems. In this context, an ineffective technical…

Software Engineering · Computer Science 2024-01-19 Fernando Padoan , Ronnie de Souza Santos , Rodrigo Pessoa Medeiros

Competitive programming remains a very popular activity that combines both software engineering and education. In order to prepare and to practice, contestants use extensive archives of problems from past contents available on various…

Software Engineering · Computer Science 2023-01-12 Artyom Lobanov , Egor Bogomolov , Yaroslav Golubev , Mikhail Mirzayanov , Timofey Bryksin

Cloud computing is a Technology that has come out in the last decade and that is transforming the IT industry in huge. The Cloud computing is playing a vital role as a backbone component of the Internet of Things (IoT). In a Cloud Computing…

Software Engineering · Computer Science 2019-05-28 Dhanamma Jagli , Seema Purohit , N. Subhash Chandra

Maintenance is a dominant component of software cost, and localizing reported defects is a significant component of maintenance. We propose a scalable approach that leverages the natural language present in both defect reports and source…

Software Engineering · Computer Science 2012-11-14 Zachary P. Fry , Westley Weimer

Supernovae classes have been defined phenomenologically, based on spectral features and time series data, since the specific details of the physics of the different explosions remain unrevealed. However, the number of these classes is…

Solar and Stellar Astrophysics · Physics 2022-02-17 William Davison , David Parkinson , Brad E. Tucker

Reference sets contain known content that are used to identify relevant or filter irrelevant content. Application profiles are a type of reference set that contain digital artifacts associated with application software. An application…

Software Engineering · Computer Science 2021-03-08 Thomas Laurenson , Stephen MacDonell , Hank Wolfe

This article describes the capabilities of a universal software platform for visualizing class F curves and developing specialized applications for CAD systems based on Microsoft Excel VBA, the software complex FairCurveModeler, and…

Large-scale annotation of image segmentation datasets is often prohibitively expensive, as it usually requires a huge number of worker hours to obtain high-quality results. Abundant and reliable data has been, however, crucial for the…

Computer Vision and Pattern Recognition · Computer Science 2019-03-12 Philipe A. Dias , Zhou Shen , Amy Tabb , Henry Medeiros

The increasing ubiquity of smartphones and resurgence of VR/AR techniques, it is expected that our everyday environment may soon be decorating with objects connecting with virtual elements. Alerting to the presence of these objects is…

Computer Vision and Pattern Recognition · Computer Science 2025-08-18 Liming Xu , Dave Towey , Andrew P. French , Steve Benford

Per-pixel masks of semantic objects are very useful in many applications, which, however, are tedious to be annotated. In this paper, we propose a human-agent collaborative annotation approach that can efficiently generate per-pixel masks…

Computer Vision and Pattern Recognition · Computer Science 2018-06-28 Lishi Zhang , Chenghan Fu , Jia Li

The variety, abundance, and structured nature of hashtags make them an interesting data source for training vision models. For instance, hashtags have the potential to significantly reduce the problem of manual supervision and annotation…

Computer Vision and Pattern Recognition · Computer Science 2017-11-28 Andreas Veit , Maximilian Nickel , Serge Belongie , Laurens van der Maaten

This paper presents Tree Notation, a new simple, universal syntax. Language designers can invent new programming languages, called Tree Languages, on top of Tree Notation. Tree Languages have a number of advantages over traditional…

Programming Languages · Computer Science 2017-10-25 Breck Yunits

The challenge of labeling large example datasets for computer vision continues to limit the availability and scope of image repositories. This research provides a new method for automated data collection, curation, labeling, and iterative…

Machine Learning · Computer Science 2023-01-20 Grant Rosario , David Noever , Matt Ciolino

Many aesthetic models in computer vision suffer from two shortcomings: 1) the low descriptiveness and interpretability of those hand-crafted aesthetic criteria (i.e., nonindicative of region-level aesthetics), and 2) the difficulty of…

Computer Vision and Pattern Recognition · Computer Science 2019-08-09 Yanxiang Chen , Yuxing Hu , Luming Zhang , Ping Li , Chao Zhang

Cloud computing offers the potential to help scientists to process massive number of computing resources often required in machine learning application such as computer vision problems. This proposal would like to show that which benefits…

Computer Vision and Pattern Recognition · Computer Science 2013-02-07 Yu Zhou

Context: Modern software development increasingly relies on software testing for an ever more frequent delivery of high quality software. This puts high demands on the quality of the central artifacts in software testing, test suites and…

Software Engineering · Computer Science 2024-02-16 Huynh Khanh Vi Tran , Michael Unterkalmsteiner , Jürgen Börstler , Nauman bin Ali

Web application providers have been migrating their applications to cloud data centers, attracted by the emerging cloud computing paradigm. One of the appealing features of the cloud is elasticity. It allows cloud users to acquire or…

Distributed, Parallel, and Cluster Computing · Computer Science 2017-09-15 Chenhao Qu , Rodrigo N. Calheiros , Rajkumar Buyya

Digital Engineering, the digital transformation of engineering to leverage digital technologies, is coming globally. This paper explores digital systems engineering, which aims at developing theory, methods, models, and tools to support the…