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This paper introduces Experiversum, a lakehouse-based ecosystem that supports the curation, documentation and reproducibility of exploratory experiments. Experiversum enables structured research through iterative data cycles, while…

Reproducing cognitive development, group interaction, and long-term evolution in virtual classrooms remains a core challenge for educational AI, as real classrooms integrate open-ended cognition, dynamic social interaction, affective…

Computer Vision and Pattern Recognition · Computer Science 2025-10-08 Yiping Ma , Shiyu Hu , Buyuan Zhu , Yipei Wang , Yaxuan Kang , Shiqing Liu , Kang Hao Cheong

Digitalization and virtualization are extremely active and important approaches in a large scope of activities (marketing, selling, enterprise management, logistics). Tourism management is also highly concerned by this evolution. In this…

Human-Computer Interaction · Computer Science 2024-11-11 Bertrand David , René Chalon

With the emerging developments of the Metaverse, a virtual world where people can interact, socialize, play, and conduct their business, it has become critical to ensure that the underlying systems are transparent, secure, and trustworthy.…

Machine Learning · Computer Science 2023-06-21 Dev Gurung , Shiva Raj Pokhrel , Gang Li

The use of statistical software in academia and enterprises has been evolving over the last years. More often than not, students, professors, workers, and users, in general, have all had, at some point, exposure to statistical software.…

Applications · Statistics 2019-08-21 Rui Portocarrero Sarmento , Vera Costa

The metaverse, enormous virtual-physical cyberspace, has brought unprecedented opportunities for artists to blend every corner of our physical surroundings with digital creativity. This article conducts a comprehensive survey on…

Computers and Society · Computer Science 2021-11-29 Lik-Hang Lee , Zijun Lin , Rui Hu , Zhengya Gong , Abhishek Kumar , Tangyao Li , Sijia Li , Pan Hui

This paper presents a conceptual insight into the Design of the Metaverse to facilitate educational transformation in selected developing nations within the Global South regions, e.g., India. These regions are often afflicted with…

Human-Computer Interaction · Computer Science 2024-01-02 Anmol Srivastava

Despite rapid growth in the data science workforce, people of color, women, those with disabilities, and others remain underrepresented in, underserved by, and sometimes excluded from the field. This pattern prevents equal opportunity for…

Other Statistics · Statistics 2024-07-23 Mine Dogucu , Alicia A. Johnson , Miles Ott

This article describes the use of metadata and standards in the Social Impact Data Commons to expose official statisticians to an innovative project built on actionable and evaluable metadata, which produces a FAIR data system. We begin by…

Computers and Society · Computer Science 2025-11-25 Joanna Schroeder , Alan Wang , Kathryn Linehan , Joel Thurston , Aaron Schroeder

A new generation of educational mathematics software is being shaped in ThEdu and other academic communities on the side of computer mathematics. Respective concepts and technologies have been clarified to an extent, which calls for…

History and Overview · Mathematics 2019-04-19 Walther Neuper

The recent Facebook rebranding to Meta has drawn renewed attention to the metaverse. Technology giants, amongst others, are increasingly embracing the vision and opportunities of a hybrid social experience that mixes physical and virtual…

Human-Computer Interaction · Computer Science 2023-09-25 Liming Xu , Dave Towey , Andrew P. French , Steve Benford

Meta-learning, or learning to learn, is a machine learning approach that utilizes prior learning experiences to expedite the learning process on unseen tasks. As a data-driven approach, meta-learning requires meta-features that represent…

Machine Learning · Computer Science 2021-01-12 Hadi S. Jomaa , Lars Schmidt-Thieme , Josif Grabocka

Statistical inference, a central tool of science, revolves around the study and the usage of statistical estimators: functions that map finite samples to predictions about unknown distribution parameters. In the frequentist framework,…

Machine Learning · Computer Science 2025-12-15 Maxime Peyrard , Kyunghyun Cho

Supporting real-time interactions between human controllers and remote devices remains a challenging goal in the Metaverse due to the stringent requirements on computing workload, communication throughput, and round-trip latency. In this…

Robotics · Computer Science 2024-07-24 Kan Chen , Zhen Meng , Xiangmin Xu , Changyang She , Philip G. Zhao

Transformer-based models for transfer learning have the potential to achieve high prediction accuracies on text-based supervised learning tasks with relatively few training data instances. These models are thus likely to benefit social…

Computation and Language · Computer Science 2022-09-01 Sandra Wankmüller

Metaverse over wireless networks is an emerging use case of the sixth generation (6G) wireless systems, posing unprecedented challenges in terms of its multi-modal data transmissions with stringent latency and reliability requirements.…

Networking and Internet Architecture · Computer Science 2022-12-15 Jihong Park , Jinho Choi , Seong-Lyun Kim , Mehdi Bennis

The success of NLP systems often relies on the availability of large, high-quality datasets. However, not all samples in these datasets are equally valuable for learning, as some may be redundant or noisy. Several methods for characterizing…

Computation and Language · Computer Science 2023-06-13 Jaehyung Kim , Yekyung Kim , Karin de Langis , Jinwoo Shin , Dongyeop Kang

The Metaverse is a concept that proposes to immerse users into real-time rendered 3D content virtual worlds delivered through Extended Reality (XR) devices like Augmented and Mixed Reality (AR/MR) smart glasses and Virtual Reality (VR)…

Emerging Technologies · Computer Science 2024-07-23 Tiago M. Fernández-Caramés , Paula Fraga-Lamas

The use of simulation-based methods for introducing inference is growing in popularity for the Stat 101 course, due in part to increasing evidence of the methods ability to improve students' statistical thinking. This impact comes from…

Other Statistics · Statistics 2015-08-04 Nathan Tintle , Beth Chance , George Cobb , Soma Roy , Todd Swanson , Jill VanderStoep

Working with complex data is one of the important updates to the 2014 ASA Curriculum Guidelines for Undergraduate Programs in Statistical Science. Infusing 'authentic data experiences' within courses allow students opportunities to learn…

Other Statistics · Statistics 2015-08-03 Scott D. Grimshaw