Skip to search formSkip to main content
You are currently offline. Some features of the site may not work correctly.

Learning Disorders

Known as: academic skills disorder, Learning differences, Learning Disorders [Disease/Finding] 
Conditions characterized by a significant discrepancy between an individual's perceived level of intellect and their ability to acquire new language… Expand
National Institutes of Health

Related topics

Related topics

33 relations
ATTENTION IMPAIRMENTAgraphiaAphasiaAttention deficit hyperactivity disorder
Expand

Narrower (9)

Developmental reading disorderGiacheti SyndromeIntellectual disability, borderlineLanguage Disorders
Expand

Broader (1)

Mental disorders

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
Review
2019
Review
2019
Continual Lifelong Learning with Neural Networks: A Review
Humans and animals have the ability to continually acquire, fine-tune, and transfer knowledge and skills throughout their… Expand
  • figure 1
  • figure 2
  • figure 3
  • figure 4
  • figure 5
Is this relevant?
Review
2019
Review
2019
Multimodal Machine Learning: A Survey and Taxonomy
Our experience of the world is multimodal - we see objects, hear sounds, feel texture, smell odors, and taste flavors. Modality… Expand
  • table 1
  • figure 1
  • table 2
  • figure 2
  • table 3
Is this relevant?
Review
2018
Review
2018
Machine learning in cardiovascular medicine: are we there yet?
Artificial intelligence (AI) broadly refers to analytical algorithms that iteratively learn from data, allowing computers to find… Expand
  • figure 1
  • figure 2
  • figure 3
  • figure 4
Is this relevant?
Review
2018
Review
2018
Machine learning at the energy and intensity frontiers of particle physics
Our knowledge of the fundamental particles of nature and their interactions is summarized by the standard model of particle… Expand
  • figure 1
  • figure 2
  • table 1
  • figure 3
  • figure 4
Is this relevant?
Review
2018
Review
2018
Supervised Machine Learning for Population Genetics: A New Paradigm
As population genomic datasets grow in size, researchers are faced with the daunting task of making sense of a flood of… Expand
  • figure I
  • figure I
  • figure I
Is this relevant?
Review
2018
Review
2018
Radiomics in Brain Tumor: Image Assessment, Quantitative Feature Descriptors, and Machine-Learning Approaches.
Radiomics describes a broad set of computational methods that extract quantitative features from radiographic images. The… Expand
  • figure 1
  • figure 2
  • figure 3
Is this relevant?
Review
2018
Review
2018
Geographic object-based image analysis (GEOBIA): emerging trends and future opportunities
Over the last two decades (since ca. 2000), Geographic Object-Based Image Analysis (GEOBIA) has emerged as a new paradigm to… Expand
  • figure 1
  • figure 2
  • figure 3
  • figure 4
  • figure 5
Is this relevant?
Review
2017
Review
2017
Optical coherence tomography angiography
Optical coherence tomography (OCT) was one of the biggest advances in ophthalmic imaging. Building on that platform, OCT… Expand
  • figure 78
Is this relevant?
Review
2017
Review
2017
First Principles Neural Network Potentials for Reactive Simulations of Large Molecular and Condensed Systems.
Modern simulation techniques have reached a level of maturity which allows a wide range of problems in chemistry and materials… Expand
Is this relevant?
Review
2017
Review
2017
Promoting Positive Youth Development Through School-Based Social and Emotional Learning Interventions: A Meta-Analysis of Follow-Up Effects.
This meta-analysis reviewed 82 school-based, universal social and emotional learning (SEL) interventions involving 97,406… Expand
  • table 1
  • figure 1
  • table 2
  • table 3
Is this relevant?
By clicking accept or continuing to use the site, you agree to the terms outlined in our Privacy Policy, Terms of Service, and Dataset License
ACCEPT & CONTINUE