Results 51 to 60 of about 316,553 (187)
Improving Performance of Automated Essay Scoring by using back-translation essays and adjusted scores [PDF]
arXiv, 2022 Automated essay scoring plays an important role in judging students' language abilities in education. Traditional approaches use handcrafted features to score and are time-consuming and complicated. Recently, neural network approaches have improved performance without any feature engineering. Unlike other natural language processing tasks, only a small
arxiv
The micronucleus assay as a biological dosimeter of in vivo ionising radiation exposure [PDF]
, 2010 Biological dosimetry, based on the analysis of micronuclei (MN) in the cytokinesis-block micronucleus (CBMN) assay can be used as an alternative method for scoring dicentric chromosomes in the field of radiation protection.
Fenech, Michel +2 more
core +2 more sources
Validation Study on Automated Sleep Stage Scoring Using a Deep Learning Algorithm
Medicina, 2022 Background and Objectives: Polysomnography is manually scored by sleep experts. However, manual scoring is a time-consuming and labor-intensive task.
Jae Hoon Cho +5 more
doaj +1 more source
Review of feedback in Automated Essay Scoring [PDF]
arXiv, 2023 The first automated essay scoring system was developed 50 years ago. Automated essay scoring systems are developing into systems with richer functions than the previous simple scoring systems. Its purpose is not only to score essays but also as a learning tool to improve the writing skill of users.
arxiv
Development of an automated scoring system for plant comet assay
Frontiers in Genetics, 2015 In plants, an increasing interest for the Comet Assay was shown in the last decade and this versatile technique appears to be promising to detect the genotoxic effect of pollutants and to monitor the environment.
Bertrand Pourrut, Charles Homsy
doaj +1 more source
Digital assessment of mathematics: Opportunities, issues and criteria
Mesure et Évaluation en Éducation, 2018 Digital assessment of mathematics is becoming widespread, but still comes with limitations and constraints. A central question is how to design digital tests that assess mathematical knowledge in a valid way.
Paul Drijvers
doaj +1 more source
Haematologica, 2014 The cellular microenvironment in follicular lymphoma is of biological and clinical importance. Studies on the clinical significance of non-malignant cell populations have generated conflicting results, which may partly be influenced by poor ...
Birgitta Sander +21 more
doaj +1 more source
Diagnostics, 2021 Automated artificial intelligence (AI) systems enable the integration of different types of data from various sources for clinical decision-making. The aim of this study is to propose a pipeline to develop a fully automated clinician-friendly AI-enabled ...
Mogana Darshini Ganggayah +6 more
doaj +1 more source
The Effectiveness of a Dynamic Loss Function in Neural Network Based Automated Essay Scoring [PDF]
arXiv, 2023 Neural networks and in particular the attention mechanism have brought significant advances to the field of Automated Essay Scoring. Many of these systems use a regression-based model which may be prone to underfitting when the model only predicts the mean of the training data. In this paper, we present a dynamic loss function that creates an incentive
arxiv
Signal Amplification of FISH for Automated Detection Using Image Cytometry
Analytical Cellular Pathology, 1997 The purpose of this study was to improve the detection of FISH signals, in order that spot counting by a fully automated image cytometer be comparable to that obtained visually under the microscope.
Khuong Truong +6 more
doaj +1 more source