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Large language models (LLMs) have been widely adopted for synthetic data generation, significantly reducing annotation costs. However, most existing studies treat synthesis as a set of isolated tasks and overlook a more fundamental…

Artificial Intelligence · Computer Science 2026-05-29 Zhenlin Hu , Yan Wang , Zhen Bi , Zihao Xue , Bingyu Zhu , Longtao Huang , Xiongtao Zhang , Zeyu Yang , Zhixuan Chu , Jungang Lou

In recent years, the task of mining important information from social media posts during crises has become a focus of research for the purposes of assisting emergency response (ES). The TREC Incident Streams (IS) track is a research…

Computation and Language · Computer Science 2021-12-08 Congcong Wang , David Lillis

Machine learning algorithms have become indispensable in today's world. They support and accelerate the way we make decisions based on the data at hand. This acceleration means that data structures that were valid at one moment could no…

Machine Learning · Computer Science 2025-02-11 Cedric Kulbach , Lucas Cazzonelli , Hoang-Anh Ngo , Minh-Huong Le-Nguyen , Albert Bifet

How to get insights from relational data streams in a timely manner is a hot research topic. Data streams can present unique challenges, such as distribution drifts, outliers, emerging classes, and changing features, which have recently…

Machine Learning · Computer Science 2023-12-18 Yiqun Diao , Yutong Yang , Qinbin Li , Bingsheng He , Mian Lu

The pandemic has shattered the traditional enclosures of learning. The post-pandemic university (PPU) will no longer be contained within the 4 walls of a lecture theatre, and finish once students have left the premises. The use of online…

Computers and Society · Computer Science 2021-12-14 Abhishek Gupta , Connor Wright

The students following Engineering disciplines should not only acquire the conceptual understanding of the concepts but also the processors and attitudes. There are two recognizable learning environments for students, namely, classroom…

Computers and Society · Computer Science 2021-07-07 W. D. Kularatne , Lasanthika H. Dissawa , T. M. S. S. K. Ekanayake , Janaka B. Ekanayake

In era of ever-expanding data and knowledge, we lack a centralized system that maps all the faculties to their research works. This problem has not been addressed in the past and it becomes challenging for students to connect with the right…

Distributed, Parallel, and Cluster Computing · Computer Science 2017-06-27 Noopur Gupta , Rakesh K. Lenka , Rabindra K. Barik , Harishchandra Dubey

The large-scale online management systems (e.g. Moodle), online web forums (e.g. Piazza), and online homework systems (e.g. WebAssign) have been widely used in the blended courses recently. Instructors can use these systems to deliver class…

Social and Information Networks · Computer Science 2017-10-02 Niki Gitinabard , Linting Xue , Collin F. Lynch , Sarah Heckman , Tiffany Barnes

Digital fabrication courses that relied on physical makerspaces were severely disrupted by COVID-19. As universities shut down in Spring 2020, instructors developed new models for digital fabrication at a distance. Through interviews with…

Human-Computer Interaction · Computer Science 2021-04-13 Gabrielle Benabdallah , Samuelle Bourgault , Nadya Peek , Jennifer Jacobs

This article addresses the logistics of implementing projects in an undergraduate mathematics class and is intended both for new instructors and for instructors who have had negative experiences implementing projects in the past. Project…

History and Overview · Mathematics 2017-01-06 R. Corban Harwood

Undergraduate research experiences hold many potential benefits. Students can learn about new areas opening up previously unknown paths in academia and industry. The hands-on experience often provides a deeper understanding of what science,…

Other Statistics · Statistics 2023-03-24 Audrey E Hendricks

Serverless computing has emerged as a compelling paradigm for the development and deployment of a wide range of event based cloud applications. At the same time, cloud providers and enterprise companies are heavily adopting machine learning…

Distributed, Parallel, and Cluster Computing · Computer Science 2018-02-13 Vatche Ishakian , Vinod Muthusamy , Aleksander Slominski

The excessive amounts of data generated by devices and Internet-based sources at a regular basis constitute, big data. This data can be processed and analyzed to develop useful applications for specific domains. Several mathematical and…

Distributed, Parallel, and Cluster Computing · Computer Science 2017-12-15 Samiya Khan , Kashish Ara Shakil , Mansaf Alam

Online and offline analytics have been traditionally treated separately in software architecture design, and there is no existing general architecture that can support both. Our objective is to go beyond and introduce a scalable and…

Software Engineering · Computer Science 2019-07-22 Sheik Hoque , Andriy Miranskyy

Implementing big data storage at scale is a complex and arduous task that requires an advanced infrastructure. With the rise of public cloud computing, various big data management services can be readily leveraged. As a critical part of…

Distributed, Parallel, and Cluster Computing · Computer Science 2022-03-23 Saurabh Deochake , Vrushali Channapattan , Gary Steelman

This paper is a report of the Workshop on Simulations for Information Access (Sim4IA) workshop at SIGIR 2024. The workshop had two keynotes, a panel discussion, nine lightning talks, and two breakout sessions. Key takeaways were user…

We study network response to queries that require computation of remotely located data and seek to characterize the performance limits in terms of maximum sustainable query rate that can be satisfied. The available resources include (i) a…

Networking and Internet Architecture · Computer Science 2016-11-17 Apostolos Destounis , Georgios S. Paschos , Iordanis Koutsopoulos

In 2020, due to the COVID-19 pandemic, educational activities had to be done remotely as a way to avoid the spread of the disease. What happened was not exactly a shift to an online learning model but a transition to a new approach called…

Computers and Society · Computer Science 2021-05-14 Kiev Gama , Carlos Zimmerle , Pedro Rossi

Can we make undergraduate engineering education easier and more fun? This research aims to see if we can answer the ambitious question! The digital game-based learning (DGBL) has been found to increase the efficacy of learning when applied…

Computers and Society · Computer Science 2021-06-29 Seungmo Kim

Recently, multiple applications of machine learning have been introduced. They include various possibilities arising when image analysis methods are applied to, broadly understood, video streams. In this context, a novel tool, developed for…

Artificial Intelligence · Computer Science 2025-01-07 Anna Wróblewska , Marcel Witas , Kinga Frańczak , Arkadiusz Kniaź , Siew Ann Cheong , Tan Seng Chee , Janusz Hołyst , Marcin Paprzycki
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