Results 51 to 60 of about 155,699 (303)
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 ...
arxiv
Brazilian Review of Econometrics, 2014 This papers uses natural language processing to create the first machine-coded democracy index, which I call Automated Democracy Scores (ADS). The ADS is based on 42 million news articles from 6,043 different sources and cover all indepen- dent countries in the 1993-2012 period.
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MC-SleepNet: Large-scale Sleep Stage Scoring in Mice by Deep Neural Networks
Scientific Reports, 2019 Automated sleep stage scoring for mice is in high demand for sleep research, since manual scoring requires considerable human expertise and efforts. The existing automated scoring methods do not provide the scoring accuracy required for practical use. In
Masato Yamabe +5 more
doaj +1 more source
Explainable automated evaluation of the clock drawing task for memory impairment screening
Alzheimer’s & Dementia: Diagnosis, Assessment & Disease Monitoring, 2023 Introduction The clock drawing task (CDT) is frequently used to aid in detecting cognitive impairment, but current scoring techniques are time‐consuming and miss relevant features, justifying the creation of an automated quantitative scoring approach ...
Dakota Handzlik +5 more
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Rubric-Specific Approach to Automated Essay Scoring with Augmentation Training [PDF]
arXiv, 2023 Neural based approaches to automatic evaluation of subjective responses have shown superior performance and efficiency compared to traditional rule-based and feature engineering oriented solutions. However, it remains unclear whether the suggested neural solutions are sufficient replacements of human raters as we find recent works do not properly ...
arxiv
Automated frailty scores: towards clinical implementation
Aging, 2023 Non peer ...
Mak, Jonathan K L +2 more
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npj Digital Medicine, 2021 Machine learning has the potential to change the practice of medicine, particularly in areas that require pattern recognition (e.g. radiology). Although automated classification is unlikely to be perfect, few modern machine learning tools have the ...
Dae Y. Kang +4 more
doaj +1 more source
Molecular Oncology, EarlyView.We quantified and cultured circulating tumor cells (CTCs) of 62 patients with various cancer types and generated CTC‐derived tumoroid models from two salivary gland cancer patients. Cellular liquid biopsy‐derived information enabled molecular genetic assessment of systemic disease heterogeneity and functional testing for therapy selection in both ...
Nataša Stojanović Gužvić +31 more
wiley +1 more source
AUTOMATED TOOLS FOR SUBJECT MATTER EXPERT EVALUATION OF AUTOMATED SCORING [PDF]
ETS Research Report Series, 2004 ABSTRACTAs automated scoring of complex constructed‐response examinations reaches operational status, the process of evaluating the quality of resultant scores, particularly in contrast to scores of expert human graders, becomes as complex as the data itself.
Isaac I. Bejar +2 more
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Molecular Oncology, EarlyView.The authors analyzed the spatial distributions of gene and metabolite profiles in cervical cancer through spatial transcriptomic and spatially resolved metabolomic techniques. Pivotal genes and metabolites within these cases were then identified and validated.
Lixiu Xu +3 more
wiley +1 more source