Deception detection with machine learning: A systematic review and statistical analysis

AS Constâncio, DF Tsunoda, HFN Silva, JM Silveira… - Plos one, 2023 - journals.plos.org
Several studies applying Machine Learning to deception detection have been published in
the last decade. A rich and complex set of settings, approaches, theories, and results is now …

A face emotion recognition method using convolutional neural network and image edge computing

H Zhang, A Jolfaei, M Alazab - IEEE Access, 2019 - ieeexplore.ieee.org
To avoid the complex process of explicit feature extraction in traditional facial expression
recognition, a face expression recognition method based on a convolutional neural network …

Automatic facial expression recognition system using deep network-based data fusion

A Majumder, L Behera… - IEEE transactions on …, 2016 - ieeexplore.ieee.org
This paper presents a novel automatic facial expressions recognition system (AFERS) using
the deep network framework. The proposed AFERS consists of four steps: 1) geometric …

[KİTAP][B] Textbook of evolutionary psychiatry and psychosomatic medicine: The origins of psychopathology

M Brüne - 2015 - books.google.com
Psychiatry and Psychosomatic Medicine are concerned with medical conditions affecting
brain, mind and behaviour in manifold ways. Traditional approaches have focused on a …