Results 31 to 40 of about 4,044,436 (277)

“What is on your mind?” Automated Scoring of Mindreading in Childhood and Early Adolescence [PDF]

International Conference on Computational Linguistics, 2020
In this paper we present the first work on the automated scoring of mindreading ability in middle childhood and early adolescence. We create MIND-CA, a new corpus of 11,311 question-answer pairs in English from 1,066 children aged from 7 to 14.
Venelin Kovatchev, Phillip Smith, Mark G. Lee, Imogen Elizabeth Grumley Traynor, Irene Luque Aguilera, R. Devine   +5 more
semanticscholar   +1 more source

Sleep scoring made easy—Semi-automated sleep analysis software and manual rescoring tools for basic sleep research in mice

MethodsX, 2015
Studying sleep behavior in animal models demands clear separation of vigilance states. Pure manual scoring is time-consuming and commercial scoring software is costly.
M. Kreuzer, S. Polta, J. Gapp, C. Schuler, E.F. Kochs, T. Fenzl   +5 more
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

PMAES: Prompt-mapping Contrastive Learning for Cross-prompt Automated Essay Scoring

Annual Meeting of the Association for Computational Linguistics, 2023
Current cross-prompt automated essay scoring (AES) is a challenging task due to the large discrepancies between different prompts, such as different genres and expressions.
Yuan Chen, Xia Li
semanticscholar   +1 more source

The reliability of immunohistochemical analysis of the tumor microenvironment in follicular lymphoma: a validation study from the Lunenburg Lymphoma Biomarker Consortium

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, Daphne de Jong, Andreas Rosenwald, Wanling Xie, Olga Balagué, Maria Calaminici, Joaquim Carreras, Philippe Gaulard, John Gribben, Anton Hagenbeek, Marie José Kersten, Thierry Jo Molina, Abigail Lee, Santiago Montes-Moreno, German Ott, John Raemaekers, Gilles Salles, Laurie Sehn, Christoph Thorns, Björn E. Wahlin, Randy D. Gascoyne, Edie Weller   +21 more
doaj   +1 more source

What the New Measure of Thinking in School Students Has to Offer to Contemporary Education

Вопросы образования, 2021
For the pedagogical principle of assigning comprehensible and adequate tasks to be implemented, allowance should be made for students’ individual levels of logical reasoning, which requires diagnostic measures for objective and quick assessment.
Irina Uglanova, Irina Pogozhina
doaj   +1 more source

Using PRMSE to evaluate automated scoring systems in the presence of label noise

Workshop on Innovative Use of NLP for Building Educational Applications, 2020
The effect of noisy labels on the performance of NLP systems has been studied extensively for system training. In this paper, we focus on the effect that noisy labels have on system evaluation.
Anastassia Loukina, Nitin Madnani, Aoife Cahill, Lili Yao, Matthew S. Johnson, Brian Riordan, D. McCaffrey   +6 more
semanticscholar   +1 more source

Acoustilytix™: A Web-Based Automated Ultrasonic Vocalization Scoring Platform

Brain Sciences, 2021
Ultrasonic vocalizations (USVs) are known to reflect emotional processing, brain neurochemistry, and brain function. Collecting and processing USV data is manual, time-intensive, and costly, creating a significant bottleneck by limiting researchers ...
Catherine B. Ashley, Ryan D. Snyder, James E. Shepherd, Catalina Cervantes, Nitish Mittal, Sheila Fleming, Jaxon Bailey, Maisie D. Nievera, Sharmin Islam Souleimanova, Bill Nyaoga, Lauren Lichtenfeld, Alicia R. Chen, W. Todd Maddox, Christine L. Duvauchelle   +13 more
doaj   +1 more source

DIPSS and DIPSS Plus risk scoring in myelofibrosis utilizing automated, electronic health record-integrated decision system

ESMO Real World Data and Digital Oncology
Background: Automated risk scoring could reduce human errors and enhance consistency. The aim of the study was to investigate whether automation of myelofibrosis Dynamic Prognostic Scoring System (DIPSS) and DIPSS Plus scores could improve their ...
A. Mervaala-Muroke, M. Lehto, K. Porkka, O. Brück   +3 more
doaj   +1 more source

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