Results 31 to 40 of about 1,005,096 (149)

In order to develop an automated facial scoring system several steps were required: Image preprocessing, face normalization, color transformation, heat map calculation, morphological erosion and anomaly scoring.

, 2023
In order to develop an automated facial scoring system several steps were required: Image preprocessing, face normalization, color transformation, heat map calculation, morphological erosion and anomaly scoring.
Abdullah Hayajneh (15218971), Mitchell A. Stotland (15220174), Erchin Serpedin (3706543), Mohammad Shaqfeh (16747461)   +3 more
core   +1 more source

Automated Essay Scoring in Australian Schools: Key Issues and Recommendations White Paper [PDF]

, 2022
This white paper outlines critical issues associated with the use of Automated Essay Scoring (AES) technology in the Australian education system. The key insights presented in this paper emerged from a collaborative, multi-stakeholder workshop held in ...
Knight, Simon, Thompson, Greg, Gulson, Kalervo N., Rutkowski, Leslie, Rutkowski, David, Hogan, Anna, Zhang, Vincent, Kitto, Kirsty, Swist, Teresa, Zhang, V, Rutkowski, D, Swist, T, Kitto, K, Thompson, G, Rutkowski, L, Hogan, A, Kalervo, G, Knight, S   +17 more
core   +1 more source

Automated versus human scoring of the Rey-Osterrieth Complex Figure Test: a rapid review

Frontiers in Psychiatry
IntroductionDespite digital advances in healthcare, clinical neuropsychology has been slow to adopt automated assessment tools. Automated scoring of the Rey-Osterrieth Complex Figure Test (ROCFT) could enhance efficiency and consistency in evaluating ...
Sander Lindholm Andersen, Astri J. Lundervold, Eivind Haga Ronold, Eivind Haga Ronold, Eivind Haga Ronold   +4 more
doaj   +1 more source

Automated Sleep Stage Scoring Using k-Nearest Neighbors Classifier

, 2020
kNNSS is a Matlab package for automated sleep stage scoring using the k-nearest neighbors algorithm. Compared to other automated sleep scoring packages its main advantage is simplicity and the use of physiologically relevant, human-interpretable ...
Stephen Morairty, Michael Schwartz, Tamás Kiss, Thomas S. Kilduff, Dmitri Volfson, Derek L. Buhl   +5 more
core   +1 more source

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, Kazumasa Horie, Hiroaki Shiokawa, Hiromasa Funato, Masashi Yanagisawa, Hiroyuki Kitagawa   +5 more
doaj   +1 more source

Combining machine translation and automated scoring in international large-scale assessments

Large-scale Assessments in Education
Background Artificial intelligence (AI) is rapidly changing communication and technology-driven content creation and is also being used more frequently in education.
Ji Yoon Jung, Lillian Tyack, Matthias von Davier   +2 more
doaj   +1 more source

Automated Scoring of Sleep in the Neonatal Lamb [PDF]

Sleep, 1995
The study of sleep is an important and rapidly expanding area of research that generates large bodies of data. Manual scoring of sleep states from polygraph recordings is a laborious and often subjective task. Even when care is taken, the opportunity for disagreement between investigators and between laboratories remains great. To avoid this difficulty
D A, Grant, T L, Davidson, J E, Fewell
openaire   +2 more sources

AI-Based Automated Scoring Layer Using Large Language Models and Semantic Analysis

Applied Sciences
Automated scoring of open-ended questions is an important research direction in educational technology and artificial intelligence, as manual grading is time-consuming and often subject to inter-rater variation.
Anastasia Vangelova, Veska Gancheva
doaj   +1 more source

A Systematic Quality Scoring Analysis to Assess Automated Cardiovascular Magnetic Resonance Segmentation Algorithms

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, Elisa Rauseo, Muhammad Omer, Alborz Amir-Khalili, Alireza Sojoudi, Thu-Thao Le, Stuart Alexander Cook, Stuart Alexander Cook, Derek John Hausenloy, Derek John Hausenloy, Derek John Hausenloy, Derek John Hausenloy, Derek John Hausenloy, Briana Ang, Desiree-Faye Toh, Jennifer Bryant, Calvin Woon Loong Chin, Jose Miguel Paiva, Kenneth Fung, Kenneth Fung, Jackie Cooper, Mohammed Yunus Khanji, Mohammed Yunus Khanji, Mohammed Yunus Khanji, Nay Aung, Nay Aung, Steffen Erhard Petersen, Steffen Erhard Petersen, Steffen Erhard Petersen, Steffen Erhard Petersen   +29 more
doaj   +1 more source

AccuSleep interface for automated sleep scoring.

, 2019
After a small number of epochs are manually scored (Fig 5), the software uses SS-ANN and mixture z-scoring to perform automated sleep scoring on all recordings from a given subject simultaneously. Green check marks indicate valid user inputs.
Zeke Barger (8124335), Yang Dan (10920), Charles G. Frye (8124338), Danqian Liu (8124341), Kristofer E. Bouchard (7388195)   +4 more
core   +1 more source