A survey on active learning: State-of-the-art, practical challenges and research directions
Despite the availability and ease of collecting a large amount of free, unlabeled data, the
expensive and time-consuming labeling process is still an obstacle to labeling a sufficient …
expensive and time-consuming labeling process is still an obstacle to labeling a sufficient …
Learning in virtual reality: Effects on performance, emotion and engagement
Recent advances in virtual reality (VR) technology allow for potential learning and education
applications. For this study, 99 participants were assigned to one of three learning …
applications. For this study, 99 participants were assigned to one of three learning …
A comparative survey of deep active learning
X Zhan, Q Wang, K Huang, H ** the cell: virtual reality escape rooms in biology education
Individuals' conceptual knowledge of contemporary biological issues influences ethical
attitudes and life decisions around health, as evidenced by the recent worldwide debate on …
attitudes and life decisions around health, as evidenced by the recent worldwide debate on …
A systematic review of VR/AR applications in vocational education: models, affects, and performances
Y Liu, Q Zhan, W Zhao - Interactive Learning Environments, 2024 - Taylor & Francis
This paper presents a systematic review of the application models, affects, and performance
outcomes of VR/AR in vocational education. The analysis is based on journal articles …
outcomes of VR/AR in vocational education. The analysis is based on journal articles …
Towards exploring the limitations of active learning: An empirical study
Deep neural networks (DNNs) are increasingly deployed as integral parts of software
systems. However, due to the complex interconnections among hidden layers and massive …
systems. However, due to the complex interconnections among hidden layers and massive …
From weakly supervised learning to biquality learning: an introduction
The field of Weakly Supervised Learning (WSL) has recently seen a surge of popularity, with
numerous papers addressing different types of “supervision deficiencies”. In WSL use cases …
numerous papers addressing different types of “supervision deficiencies”. In WSL use cases …
Active learning via adaptive weighted uncertainty sampling applied to additive manufacturing
The acquisition of large amounts of high-dimensional data is becoming prevalent in additive
manufacturing, arising from sensor integration in such processes. Although supervised …
manufacturing, arising from sensor integration in such processes. Although supervised …
DRE: density-based data selection with entropy for adversarial-robust deep learning models
Active learning helps software developers reduce the labeling cost when building high-
quality machine learning models. A core component of active learning is the acquisition …
quality machine learning models. A core component of active learning is the acquisition …
Active machine learning adversarial attack detection in the user feedback process
Modern Information and Communication Technology (ICT)-based applications utilize current
technological advancements for purposes of streaming data, as a way of adapting to the …
technological advancements for purposes of streaming data, as a way of adapting to the …