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A Deep Learning Approach for Multimodal Deception Detection

A Deep Learning Approach for Multimodal Deception Detection

1 March 2018
Gangeshwar Krishnamurthy
Navonil Majumder
Soujanya Poria
Min Zhang
ArXivPDFHTML

Papers citing "A Deep Learning Approach for Multimodal Deception Detection"

6 / 6 papers shown
Title
Can lies be faked? Comparing low-stakes and high-stakes deception video
  datasets from a Machine Learning perspective
Can lies be faked? Comparing low-stakes and high-stakes deception video datasets from a Machine Learning perspective
M. Camara
Adriana Postal
Tomas Henrique Maul
Gustavo Henrique Paetzold
19
7
0
23 Nov 2022
Machine Learning-based Lie Detector applied to a Novel Annotated Game
  Dataset
Machine Learning-based Lie Detector applied to a Novel Annotated Game Dataset
Nuria Rodriguez-Diaz
Decky Aspandi
Federico Sukno
Xavier Binefa
30
6
0
26 Apr 2021
Introducing Representations of Facial Affect in Automated Multimodal
  Deception Detection
Introducing Representations of Facial Affect in Automated Multimodal Deception Detection
Leena Mathur
Maja J. Matarić
CVBM
19
37
0
31 Aug 2020
Are You for Real? Detecting Identity Fraud via Dialogue Interactions
Are You for Real? Detecting Identity Fraud via Dialogue Interactions
Weikang Wang
Jiajun Zhang
Q. Li
Chengqing Zong
Zhifei Li
21
17
0
19 Aug 2019
Face-Focused Cross-Stream Network for Deception Detection in Videos
Face-Focused Cross-Stream Network for Deception Detection in Videos
Mingyu Ding
An Zhao
Zhiwu Lu
Tao Xiang
Ji-Rong Wen
CVBM
19
52
0
11 Dec 2018
Convolutional Neural Networks for Sentence Classification
Convolutional Neural Networks for Sentence Classification
Yoon Kim
AILaw
VLM
312
13,377
0
25 Aug 2014
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