A Novel Approach for Lie Detection Based on F-Score and Extreme Learning Machine

PLoS ONE

Volumn 8, Issue 6, 2013, Pages

  Gao, Junfeng ^a,d   Wang, Zhao ^b   Yang, Yong ^c   Zhang, Wenjia ^a   Tao, Chunyi ^a   Guan, Jinan ^a   Rao, Nini ^d  

^a SOUTH CENTRAL UNIVERSITY FOR NATIONALITIES   (China)

^b Case Western Reserve University   (United States)

^c JIANGXI UNIVERSITY OF FINANCE AND ECONOMICS   (China)

^d UNIVERSITY OF ELECTRONIC SCIENCE AND TECHNOLOGY OF CHINA   (China)

Author keywords

[No Author keywords available]

Indexed keywords

ARTICLE; CLASSIFIER; ELECTRODE; ELECTROENCEPHALOGRAM; EVENT RELATED POTENTIAL; F SCORE; FORENSIC MEDICINE; FUNCTIONAL MAGNETIC RESONANCE IMAGING; HUMAN; MACHINE LEARNING; PRINCIPAL COMPONENT ANALYSIS; SCORING SYSTEM; SENSITIVITY AND SPECIFICITY; SUPPORT VECTOR MACHINE; ALGORITHM; ARTIFICIAL INTELLIGENCE; ELECTROENCEPHALOGRAPHY; FEMALE; GUILT; MALE; THEORETICAL MODEL; YOUNG ADULT;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; ELECTROENCEPHALOGRAPHY; FEMALE; GUILT; HUMANS; LIE DETECTION; MALE; MODELS, THEORETICAL; PRINCIPAL COMPONENT ANALYSIS; YOUNG ADULT;

EID: 84878633736     PISSN: None     EISSN: 19326203     Source Type: Journal    
DOI: 10.1371/journal.pone.0064704     Document Type: Article

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