An ensemble-based Machine learning technique for dyslexia detection during a visual continuous performance task-Reference-Cited by-同舟云学术

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An ensemble-based Machine learning technique for dyslexia detection during a visual continuous performance task

Published:2023-09 Issue: Volume:86 Page:105224
ISSN:1746-8094
Container-title:Biomedical Signal Processing and Control
language:en
Short-container-title:Biomedical Signal Processing and Control

Author:

Zaree Mona,Mohebbi Maryam^ORCID,Rostami Reza

Publisher

Elsevier BV

Subject

Health Informatics,Signal Processing,Biomedical Engineering

Reference60 articles.

1. The prevalence of dyslexia: A new approach to its estimation;Wagner;J. Learn. Disabil.,2020

2. Predictive model for dyslexia from fixations and saccadic eye movement events;Prabha;Comput. Methods Programs Biomed.,2020

3. Machine learning based evaluation of reading and writing difficulties;Iwabuchi,2017

4. Dyslexia: clinical characteristics;Billard;Archives de pediatrie: organe officiel de la Societe francaise de pediatrie,2010

5. Developmental dyslexia: predicting individual risk;Thompson;J. Child Psychol. Psychiatry,2015

Cited by 3 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Deep learning-driven dyslexia detection model using multi-modality data;PeerJ Computer Science;2024-06-14

2. Assessing the effectiveness of spatial PCA on SVM-based decoding of EEG data;NeuroImage;2024-06

3. Early detection of dyslexia based on EEG with novel predictor extraction and selection;Discover Artificial Intelligence;2023-10-19

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