Results 71 to 80 of about 1,005,096 (149)

Bridging AI and Clinical Practice: Integrating Automated Sleep Scoring Algorithm with Uncertainty-Guided Physician Review [PDF]

open access: yes
Michal Bechny,1,2 Giuliana Monachino,1,2 Luigi Fiorillo,2 Julia van der Meer,3 Markus H Schmidt,3,4 Claudio LA Bassetti,3 Athina Tzovara,1,3 Francesca D Faraci2 1Institute of Computer Science, University of Bern, Bern, Switzerland; 2Institute of Digital ...
Bechny M   +7 more
core  

Large Language Model and Traditional Machine Learning Scoring of Evolutionary Explanations: Benefits and Drawbacks

open access: yesEducation Sciences
Few studies have compared Large Language Models (LLMs) to traditional Machine Learning (ML)-based automated scoring methods in terms of accuracy, ethics, and economics.
Yunlong Pan, Ross H. Nehm
doaj   +1 more source

Development and validation of SARA: an AI-assisted reading assessment tool for primary school children in low-resource Spanish-speaking contexts

open access: yesFrontiers in Education
Low reading achievement is a persistent challenge in Latin American education, particularly in the Dominican Republic, where most primary school students perform below minimum proficiency levels.
Daniel Cubilla-Bonnetier   +3 more
doaj   +1 more source

A Structured Retrieval Augmented Large Language Model Framework for Automated Engineering Technical Bid Evaluation

open access: yesBuildings
In the construction sector, technical bid evaluation is crucial for maintaining equity, evaluating contractor capabilities, and allocating resources efficiently.
Guozong Zhang, Hongli Zhang, Qianmai Luo
doaj   +1 more source

Human Essay Scoring Versus Automated Essay Scoring: A Comparative Study

open access: yes, 2017
<p>Language instructors have been giving preference to the different writing tests designed to score the written material of students differently in order to identify whether the students have the writing skills as per the requirements. Most of the
Dr. Beata Lewis Sevcikova
core   +1 more source

Best of both worlds: combining LLMs and traditional ML for automated scoring of an open-response situational judgment test

open access: yesFrontiers in Education
IntroductionThis study presents a novel dual-architecture automated scoring system combining large language models (LLMs) with traditional machine learning (ML) regression techniques.
Cole Walsh, Susha Suresh, Rodica Ivan
doaj   +1 more source

Deep Active Multi-Task Learning for Precise Automated Coronary Artery Calcium Scoring

open access: yes
DEEP ACTIVE MULTI-TASK LEARNING FOR PRECISE AUTOMATED CORONARY ARTERY CALCIUM SCORING Deep Active Multi-Task Learning for Precise Automated Coronary Artery Calcium Scoring / Föllmer, Bernhard (Rights reserved) (-
Föllmer, Bernhard
core  

Automated Scoring of Scientific Creativity in German

open access: yes
Automated scoring is a current hot topic in creativity research. However, most research has focused on the English language and popular verbal creative thinking tasks, such as the alternate uses task. Therefore, in this study, we present a large language
Roger Beaty   +3 more
core   +4 more sources

Scoring German Alternate Uses Items Applying Large Language Models

open access: yesJournal of Intelligence
The alternate uses task (AUT) is the most popular measure when it comes to the assessment of creative potential. Since their implementation, AUT responses have been rated by humans, which is a laborious task and requires considerable resources.
Janika Saretzki   +6 more
doaj   +1 more source

Automated interpretation of PD-L1 CPS based on multi-AI models integration strategy in gastric cancer

open access: yesFrontiers in Immunology
IntroductionProgrammed cell death ligand-1 (PD-L1) combined positive score (CPS) evaluation plays a pivotal role in predicting immunotherapy efficacy for gastric cancer.
Ting Han   +11 more
doaj   +1 more source

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