Results 251 to 260 of about 104,763 (297)

Intelligent automated essay scoring under uncertainty using type 2 neutrosophic ontologies. [PDF]

Sci Rep
Darwish SM, Bagi NA, El-Shoafy NA.
europepmc   +1 more source

Clinical evaluation of an automated Alberta Stroke Program Early Computed Tomography Score (ASPECTS)-scoring system. [PDF]

Quant Imaging Med Surg
Bagcilar Ö, Rau A, Rau S, Schlunk F, Giesler P, Russe MF, Reisert M, Urbach H, Kellner E.   +8 more
europepmc   +1 more source

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Automated Summary Scoring with ReaderBench

2021
Text summarization is an effective reading comprehension strategy. However, summary evaluation is complex and must account for various factors including the summary and the reference text. This study examines a corpus of approximately 3,000 summaries based on 87 reference texts, with each summary being manually scored on a 4-point Likert scale. Machine
Robert-Mihai Botarleanu, Mihai Dascalu, Laura K. Allen, Scott Andrew Crossley, Danielle S. McNamara   +4 more
openaire   +1 more source

Automated Scoring of Sleep and Associated Events

2022
Conventionally, sleep and associated events are scored visually by trained technologists according to the rules summarized in the American Academy of Sleep Medicine Manual. Since its first publication in 2007, the manual was continuously updated; the most recent version as of this writing was published in 2020.
Peter, Anderer, Marco, Ross, Andreas, Cerny, Edmund, Shaw   +3 more
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Development of an automated tool to score the Headache Screening Questionnaire: Agreement between automated and manual scoring

Musculoskeletal Science and Practice, 2022
Migraines and tension-type headaches (TTH) are primary headaches that can be screened with the Headache Screening Questionnaire (HSQ). However, the HSQ scoring algorithms rely on manual calculation, which is laborious and carries a risk of human error.To develop an automated tool to calculate the output of the HSQ scoring algorithm and to determine the
Hedwig Aleida van der Meer, Luiz Augusto Brusaca, Ana Beatriz de Oliveira, Caroline Margina Speksnijder, Leticia Bojikian Calixtre   +4 more
openaire   +3 more sources

An Unsupervised Automated Essay Scoring System

IEEE Intelligent Systems, 2010
The proposed automated essay-scoring system uses an unsupervised-learning approach based on a voting algorithm. Experiments show that this approach works well compared to supervised-learning approaches.
Yen-Yu Chen, Chien-Liang Liu, Chia-Hoang Lee, Tao-Hsing Chang   +3 more
openaire   +1 more source

Feature selection for automated speech scoring

Proceedings of the Tenth Workshop on Innovative Use of NLP for Building Educational Applications, 2015
Automated scoring systems used for the evaluation of spoken or written responses in language assessments need to balance good empirical performance with the interpretability of the scoring models. We compare several methods of feature selection for such scoring systems and show that the use of shrinkage methods such as Lasso regression makes it ...
Anastassia Loukina, Klaus Zechner, Lei Chen 0004, Michael Heilman   +3 more
openaire   +1 more source

Automated System for Balance Error Scoring

Proceedings of the International Conference on Biomedical Electronics and Devices, 2014
The Balance Error Scoring System (BESS) test is a commonly used tool for assessing static postural stability after concussion that quantifies compensatory arm, eye and trunk movements. However, since it is scored by clinician observation, it is potentially susceptible to biased and inaccurate test scores.
Paarth Dave, Iyad Obeid, Carole A. Tucker   +2 more
openaire   +1 more source