Combining machine translation and automated scoring in international large-scale assessments
Large-scale Assessments in EducationBackground Artificial intelligence (AI) is rapidly changing communication and technology-driven content creation and is also being used more frequently in education.
Ji Yoon Jung +2 more
doaj +2 more sources
Home sleep apnea testing: comparison of manual and automated scoring across international sleep centers. [PDF]
Sleep Breath, 2019 Magalang UJ +12 more
europepmc +4 more sources
Sleep scoring made easy—Semi-automated sleep analysis software and manual rescoring tools for basic sleep research in mice [PDF]
MethodsX, 2015 Studying sleep behavior in animal models demands clear separation of vigilance states. Pure manual scoring is time-consuming and commercial scoring software is costly.
M. Kreuzer +5 more
doaj +2 more sources
A Systematic Quality Scoring Analysis to Assess Automated Cardiovascular Magnetic Resonance Segmentation Algorithms [PDF]
Frontiers in Cardiovascular Medicine, 2022 BackgroundThe quantitative measures used to assess the performance of automated methods often do not reflect the clinical acceptability of contouring. A quality-based assessment of automated cardiac magnetic resonance (CMR) segmentation more relevant to ...
Elisa Rauseo +29 more
doaj +3 more sources
Supervised and unsupervised machine learning for automated scoring of sleep-wake and cataplexy in a mouse model of narcolepsy. [PDF]
Sleep, 2020 Despite commercial availability of software to facilitate sleep-wake scoring of electroencephalography (EEG) and electromyography (EMG) in animals, automated scoring of rodent models of abnormal sleep, such as narcolepsy with cataplexy, has remained ...
Exarchos I +6 more
europepmc +2 more sources
Modeling and Analyzing Scorer Preferences in Short-Answer Math Questions [PDF]
arXiv, 2023 Automated scoring of student responses to open-ended questions, including short-answer questions, has great potential to scale to a large number of responses. Recent approaches for automated scoring rely on supervised learning, i.e., training classifiers or fine-tuning language models on a small number of responses with human-provided score labels ...
Heffernan, Neil +2 more
arxiv +2 more sources
Automated Scoring of Tablet-Administered Expressive Language Tests [PDF]
Frontiers in Psychology, 2021 Speech and language impairments are common pediatric conditions, with as many as 10% of children experiencing one or both at some point during development.
Robert Gale +6 more
doaj +2 more sources
Her2 Challenge Contest: A Detailed Assessment of Automated Her2 Scoring Algorithms in Whole Slide Images of Breast Cancer Tissues [PDF]
, 2017 Evaluating expression of the Human epidermal growth factor receptor 2 (Her2) by visual examination of immunohistochemistry (IHC) on invasive breast cancer (BCa) is a key part of the diagnostic assessment of BCa due to its recognised importance as a predictive and prognostic marker in clinical practice.
Berseth, Matt +21 more
arxiv +9 more sources
Deep learning enables automated scoring of liver fibrosis stages. [PDF]
Sci Rep, 2018 Current liver fibrosis scoring by computer-assisted image analytics is not fully automated as it requires manual preprocessing (segmentation and feature extraction) typically based on domain knowledge in liver pathology.
Yu Y +13 more
europepmc +2 more sources
Automated Essay Scoring Using Transformer Models [PDF]
Psych, 2021 Automated essay scoring (AES) is gaining increasing attention in the education sector as it significantly reduces the burden of manual scoring and allows ad hoc feedback for learners.
Sabrina Ludwig +4 more
doaj +3 more sources