Research graph
References from NEUROCOG-DysNet: a multi-scale cognitive feature engineering framework with stacking ensemble for improved dyslexia screening. Local targets link to admitted publications; unresolved targets remain external evidence.
A comprehensive review of machine learning approaches for dyslexia diagnosis
10.1007/s11042-022-13939-0 · 2023 · External reference
Deep learning-driven dyslexia detection model using multi-modality data
10.7717/peerj-cs.2077 · 2024 · External reference
Deep learning applications for dyslexia prediction
10.3390/app13052804 · 2023 · External reference
Exploring and identifying key factors in predicting dyslexia in children: advanced machine learning algorithms from screening to diagnosis
10.1002/cpp.70077 · 2025 · External reference
Random forests
10.1023/a:1010933404324 · 2001 · External reference
Smote: synthetic minority over-sampling technique
10.1613/jair.953 · 2002 · External reference
“Xgboost: a scalable tree boosting system,”
10.1145/2939672.2939785 · 2016 · External reference
Comparing the areas under two or more correlated receiver operating characteristic curves: a nonparametric approach
10.2307/2531595 · 1988 · External reference
Smote for learning from imbalanced data: progress and challenges, marking the 15-year anniversary
10.1613/jair.1.11192 · 2018 · External reference
Greedy function approximation: a gradient boosting machine
10.1214/aos/1013203451 · 2001 · External reference
Extremely randomized trees
10.1007/s10994-006-6226-1 · 2006 · External reference
Diagnosing dyslexia in early school-aged children using the lstm network and eye tracking technology
10.3390/app14178004 · 2024 · External reference
10.1007/978-0-387-84858-7
10.1007/978-0-387-84858-7 · 2009 · External reference
Learning from imbalanced data
10.1109/tkde.2008.239 · 2009 · External reference
10.1002/9781118548387
10.1002/9781118548387 · 2013 · External reference
A systematic review of research dimensions towards dyslexia screening using machine learning
10.1007/s40031-023-00853-8 · 2023 · External reference
Integrating oversampling and ensemble-based machine learning techniques for an imbalanced dataset in dyslexia screening tests
10.1016/j.icte.2022.02.011 · 2022 · External reference
“LightGBM: a highly efficient gradient boosting decision tree,”
2017 · External reference
Developmental dyslexia: emotional impact and consequences
10.1080/19404158.2018.1479975 · 2018 · External reference
“A unified approach to interpreting model predictions,”
2017 · External reference
A definition of dyslexia
10.1007/s11881-003-0001-9 · 2003 · External reference
The use of cognitive tests in the assessment of dyslexia
10.3390/jintelligence11050079 · 2023 · External reference
Note on the sampling error of the difference between correlated proportions or percentages
10.1007/bf02295996 · 1947 · External reference
Unresolved reference
External reference
Developmental dyslexia
10.1016/s0140-6736(12)60198-6 · 2012 · External reference
Developmental profiles of reading fluency and reading comprehension from grades 1 to 9 and their early identification
10.1037/dev0000976 · 2021 · External reference
Developmental profiles of arithmetic fluency skills from grades 1 to 9 and their early identification
10.1037/dev0001622 · 2023 · External reference
“Screening risk of dyslexia through a web-game using language-independent content and machine learning,”
10.1145/3371300.3383342 · 2020 · External reference
Unresolved reference
2020 · External reference
“Dytective: towards detecting dyslexia across languages using an online game,”
10.1145/2899475.2899491 · 2016 · External reference
10.1145/2939672.2939778
10.1145/2939672.2939778 · 2016 · External reference
Dyslexia
10.1056/nejm199801293380507 · 1998 · External reference
Annual research review: the nature and classification of reading disorders-a commentary on proposals for DSM-5
10.1111/j.1469-7610.2011.02495.x · 2012 · External reference
Advance machine learning methods for dyslexia biomarker detection: a review of implementation details and challenges
10.1109/access.2021.3062709 · 2021 · External reference
Eye-tracking image encoding: autoencoders for the crossing of language boundaries in developmental dyslexia detection
10.1109/access.2023.3234438 · 2023 · External reference
Decision curve analysis: a novel method for evaluating prediction models
10.1177/0272989x06295361 · 2006 · External reference
Stacked generalization
10.1016/s0893-6080(05)80023-1 · 1992 · External reference
Artificial intelligence in dyslexia research and education: a scoping review
10.1109/access.2025.3526189 · 2025 · External reference
Index for rating diagnostic tests
10.1002/1097-0142(1950)3:1<32::aid-cncr2820030106>3.0.co;2-3 · 1950 · External reference
Using machine learning to develop a stacking ensemble learning model for the ct radiomics classification of brain metastases
10.1038/s41598-024-80210-x · 2024 · External reference
A machine learning-based classification model to support university students with dyslexia with personalized tools and strategies
10.1038/s41598-023-50879-7 · 2024 · External reference
