A Novel Hybrid Classifiers based Model for mining in Neuro-imaging

ACM International Conference Proceeding Series

Volumn 22-23-March-2016, Issue , 2016, Pages

  Alvi, A B N ^a   Qamar, Usman ^a   Muzaffar, Abdul Wahab ^a   Butt, Wasi Haider ^a  

^a NATIONAL UNIVERSITY OF SCIENCES AND TECHNOLOGY   (Pakistan)

Author keywords

Ensemble learning methods; Epilepsy detection; Hybrid classifiers; Neuro imaging

Indexed keywords

BIG DATA; CLOUD COMPUTING; DATA MINING; DIAGNOSIS; EXTRACTION; FEATURE EXTRACTION; IMAGE PROCESSING; IMAGING SYSTEMS; INTERNET; INTERNET OF THINGS; LEARNING SYSTEMS; MAGNETIC LEVITATION VEHICLES; MAGNETIC RESONANCE IMAGING; NEUROIMAGING; NEUROLOGY;

CLASSIFICATION ACCURACY; DETECTION AND DIAGNOSIS; ENSEMBLE LEARNING; EPILEPSY DETECTION; FEATURE SELECTION METHODS; FUNCTIONAL CONNECTIVITY; HYBRID CLASSIFIER; RESTING-STATE FUNCTIONAL MAGNETIC RESONANCE IMAGING;

CLASSIFICATION (OF INFORMATION);

EID: 84976504557     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/2896387.2896398     Document Type: Conference Paper

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