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A Novel Approach for Lie Detection Based on F-Score and Extreme Learning Machine
13 references·0 citing·38 second hop
A Novel Approach for Lie Detection Based on F-Score and Extreme Learning Machine (2013)A Novel Approach for Lie Detection Based …Sales forecasting system based on Gray extreme learning machine with Taguchi method in retail industry (2010)Sales forecasting system base…Using support vector machine with a hybrid feature selection method to the stock trend prediction (2009)Using support vector machine …Combination of feature selection approaches with SVM in credit scoring (2009)Combination of feature select…The Complex Trial Protocol (CTP): A new, countermeasure‐resistant, accurate, P300‐based method for detection of concealed information (2008)The Complex Trial Protocol (C…A new approach for EEG feature extraction in P300-based lie detection (2008)A new approach for EEG featur…The P300 is sensitive to concealed face recognition (2007)The P300 is sensitive to conc…Application of wrapper approach and composite classifier to the stock trend prediction (2007)Application of wrapper approa…Telling truth from lie in individual subjects with fast event‐related fMRI (2005)Telling truth from lie in ind…Neural correlates of telling lies (2005)Neural correlates of telling …Classifying spatial patterns of brain activity with machine learning methods: Application to lie detection (2005)Classifying spatial patterns …Handbook of polygraph testing. (2002)Handbook of polygraph testing.P300 Scalp amplitude distribution as an index of deception in a simulated cognitive deficit model (1999)P300 Scalp amplitude distribu…The Truth Will Out: Interrogative Polygraphy (“Lie Detection”) With Event‐Related Brain Potentials (1991)The Truth Will Out: Interroga…Interacting Minds--A Biological Basis (1999)Movement and Mind: A Functional Imaging Study of Perception and Interpretation of Complex Intentional Movement Patterns (2000)Behavioural and functional anatomical correlates of deception in humans (2001)Decoding mental states from brain activity in humans (2006)Neural Correlates of True Memory, False Memory, and Deception (2008)Investigating socio-cognitive processes in deception: A quantitative meta-analysis of neuroimaging studies (2014)Genetic algorithms approach to feature discretization in artificial neural networks for the prediction of stock price index (2000)Financial time series forecasting using support vector machines (2003)Evaluating multiple classifiers for stock price direction prediction (2015)Stock prediction using deep learning (2016)Technical analysis and sentiment embeddings for market trend prediction (2019)A survey of credit and behavioural scoring: forecasting financial risk of lending to consumers (2000)Neural network credit scoring models (2000)Credit scoring with a data mining approach based on support vector machines (2006)A hybrid data mining model of feature selection algorithms and ensemble learning classifiers for credit scoring (2015)A new hybrid ensemble credit scoring model based on classifiers consensus system approach (2016)An Empirical Comparison of Machine-Learning Methods on Bank Client Credit Assessments (2019)Brain Activity during Simulated Deception: An Event-Related Functional Magnetic Resonance Study (2002)The Contributions of Prefrontal Cortex and Executive Control to Deception: Evidence from Activation Likelihood Estimate Meta-analyses (2008)Lying takes time: A meta-analysis on reaction time measures of deception. (2017)The GSR in the detection of guilt. (1959)Annual Review of Psychology (1960)The validity of psychophysiological detection of information with the Guilty Knowledge Test: A meta-analytic review. (2003)Neural Correlates of Different Types of Deception: An fMRI Investigation (2003)The Current and Future Status of the Concealed Information Test for Field Use (2012)Memory detection with the C oncealed I nformation T est: A meta analysis of skin conductance, respiration, heart rate, and P300 data (2014)Classification of EEG Data using k-Nearest Neighbor approach for Concealed Information Test (2018)Detecting Lies and Deceit: The Psychology of Lying and the Implications for Professional Practice (2000)Detecting lies and deceit: the psychology of lying and the implications for professional practice (2001)Rethinking Interdisciplinarity across the Social Sciences and Neurosciences (2015)Efficient Analytic Approximation of American Option Values (1987)Application of support vector machines in financial time series forecasting (2001)A comparative survey of artificial intelligence applications in finance: artificial neural networks, expert system and hybrid intelligent systems (2010)Computational Intelligence and Financial Markets: A Survey and Future Directions (2016)Simple, effective countermeasures to P300‐based tests of detection of concealed information (2004)Lying in the scanner: Covert countermeasures disrupt deception detection by functional magnetic resonance imaging (2010)Deception detection with behavioral, autonomic, and neural measures: Conceptual and methodological considerations that warrant modesty (2016)Emerging Neurotechnologies for Lie-Detection: Promises and Perils (2010)
this work references cited by second hop

References

  • 1991The Truth Will Out: Interrogative Polygraphy (“Lie Detection”) With Event‐Related Brain Potentials560 cited
  • 2005Classifying spatial patterns of brain activity with machine learning methods: Application to lie detection470 cited
  • 2005Telling truth from lie in individual subjects with fast event‐related fMRI366 cited
  • 2009Using support vector machine with a hybrid feature selection method to the stock trend prediction302 cited
  • 2002Handbook of polygraph testing.255 cited
  • 2008The Complex Trial Protocol (CTP): A new, countermeasure‐resistant, accurate, P300‐based method for detection of concealed information235 cited
  • 2008A new approach for EEG feature extraction in P300-based lie detection226 cited
  • 2009Combination of feature selection approaches with SVM in credit scoring202 cited
  • 2007Application of wrapper approach and composite classifier to the stock trend prediction167 cited
  • 2005Neural correlates of telling lies166 cited
  • 2007The P300 is sensitive to concealed face recognition128 cited
  • 2010Sales forecasting system based on Gray extreme learning machine with Taguchi method in retail industry117 cited
  • 1999P300 Scalp amplitude distribution as an index of deception in a simulated cognitive deficit model68 cited

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