Multi-modal, multi-measure, and multi-class discrimination of ADHD with hierarchical feature extraction and extreme learning machine using structural and functional brain MRI;Corrigendum: Multi-modal, Multi-measure, and Multi-class Discrimination of ADHD with Hierarchical Feature Extraction and Extreme Learning Machine Using Structural and Functional Brain MRI (Front. Hum. Neurosci., (2017), 11, (157), 10.3389/fnhum.2017.00157)

Frontiers in Human Neuroscience

Volumn 11, Issue , 2017, Pages

  Qureshi, Muhammad Naveed Iqbal ^a   Oh, Jooyoung ^a   Min, Beomjun ^b   Jo, Hang Joon ^c   Lee, Boreom ^a  

^a Gwangju Institute of Science and Technology (GIST)   (South Korea)

^b Seoul National University Hospital   (South Korea)

^c MAYO CLINIC ROCHESTER   (United States)

Author keywords

ADHD 200; ANOVA; extreme learning machine; global functional connectivity; hierarchical feature extraction; machine learning; neuroimaging; revised recursive feature elimination; Neuroimaging; Machine learning; Extreme learning machine; Revised recursive feature elimination; Hierarchical feature extraction; Global functional connectivity

Indexed keywords

ERRATUM;

EID: 85117915632     PISSN: None     EISSN: 16625161     Source Type: Journal    
DOI: 10.3389/fnhum.2017.00157     Document Type: Article

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