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Airport security: Intent to deceive?
2 references·8 citing·40 second hop
Airport security: Intent to deceive? (2010)Airport security: Intent to deceive?A Few Can Catch a Liar (1999)A Few Can Catch a LiarWho can catch a liar? (1991)Who can catch a liar?ME-PLAN: A deep prototypical learning with local attention network for dynamic micro-expression recognition (2022)ME-PLAN: A deep prototypical …Airport operations and security screening: An examination of social justice (2020)Airport operations and securi…A Novel Apex-Time Network for Cross-Dataset Micro-Expression Recognition (2019)A Novel Apex-Time Network for…SMEConvNet: A Convolutional Neural Network for Spotting Spontaneous Facial Micro-Expression From Long Videos (2018)SMEConvNet: A Convolutional N…Finding a needle in a haystack: Toward a psychologically informed method for aviation security screening. (2014)Finding a needle in a haystac…The Machine Knows What You Are Hiding: An Automatic Micro-expression Recognition System (2011)The Machine Knows What You Ar…Intelligence gathering post-9/11. (2011)Intelligence gathering post-9…Crocodile tears: Facial, verbal and body language behaviours associated with genuine and fabricated remorse. (2011)Crocodile tears: Facial, verb…The expression of the emotions in man and animals. (1872)Developing criteria for establishing interrater reliability of specific items: applications to assessment of adaptive behavior. (1981)Cues to deception. (2003)So you're sorry? The role of remorse in criminal law. (2014)Does “lie to me” lie to you? An evaluation of facial clues to high-stakes deception (2016)Microexpressions Differentiate Truths From Lies About Future Malicious Intent (2018)Dual-Processing Accounts of Reasoning, Judgment, and Social Cognition (2007)Thinking, Fast and Slow (2011)Ecological Validity and Deception Detection Research Design (2017)Nonverbal Leakage and Clues to Deception † (1969)Measuring facial movement (1976)Verbal and Nonverbal Communication of Deception (1981)Cultural group selection, coevolutionary processes and large-scale cooperation (2003)Darwin, Deception, and Facial Expression (2003)Customer Reactions to Emotional Labor: the Roles of Employee Acting Strategies and Customer Detection Accuracy (2009)Journal of Experimental Research in Personality (1965)Facial Action Coding System (1978)Telling Lies: Clues to Deceit in the Marketplace, Politics, and Marriage (1985)Detecting Deceit via Analysis of Verbal and Nonverbal Behavior (2000)Detecting True Lies: Police Officers' Ability to Detect Suspects' Lies. (2004)CASME II: An Improved Spontaneous Micro-Expression Database and the Baseline Evaluation (2014)Going deeper in facial expression recognition using deep neural networks (2016)Spotting Macro-and Micro-expression Intervals in Long Video Sequences (2020)An Overview of Facial Micro-Expression Analysis: Data, Methodology and Challenge (2022)Facial Micro-Expressions: An Overview (2023)The Extended Cohn-Kanade Dataset (CK+): A complete dataset for action unit and emotion-specified expression (2010)SAMM: A Spontaneous Micro-Facial Movement Dataset (2016)Extended Local Binary Patterns for Efficient and Robust Spontaneous Facial Micro-Expression Recognition (2019)Inceptr: micro-expression recognition integrating inception-CBAM and vision transformer (2023)Procedural Justice: A Psychological Analysis (1975)A Paradigm for Developing Better Measures of Marketing Constructs (1979)On the dimensionality of organizational justice: A construct validation of a measure. (2001)The Social Psychology of False Confessions: Compliance, Internalization, and Confabulation (1996)Police-induced confessions: Risk factors and recommendations. (2009)Comprehensive database for facial expression analysis (2002)Web-Based Database for Facial Expression Analysis (2005)Image Based Facial Micro-Expression Recognition Using Deep Learning on Small Datasets (2017)Micro-expression recognition: an updated review of current trends, challenges and solutions (2018)Dual-ATME: Dual-Branch Attention Network for Micro-Expression Recognition (2023)Towards facial micro-expression detection and classification using modified multimodal ensemble learning approach (2024)
this work references cited by second hop

References

  • 1991Who can catch a liar?839 cited
  • 1999A Few Can Catch a Liar389 cited

Cited by

  • 2011The Machine Knows What You Are Hiding: An Automatic Micro-expression Recognition System104 cited
  • 2018SMEConvNet: A Convolutional Neural Network for Spotting Spontaneous Facial Micro-Expression From Long Videos94 cited
  • 2011Crocodile tears: Facial, verbal and body language behaviours associated with genuine and fabricated remorse.87 cited
  • 2022ME-PLAN: A deep prototypical learning with local attention network for dynamic micro-expression recognition80 cited
  • 2019A Novel Apex-Time Network for Cross-Dataset Micro-Expression Recognition73 cited
  • 2014Finding a needle in a haystack: Toward a psychologically informed method for aviation security screening.70 cited
  • 2011Intelligence gathering post-9/11.59 cited
  • 2020Airport operations and security screening: An examination of social justice15 cited

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