Name
Title | ||
|---|---|---|
Detecting Deceptive Behavior via Integration of Discriminative Features From Multiple Modalities. |
Abstract | ||
|---|---|---|
Deception detection has received an increasing amount of attention in recent years, due to the significant growth of digital media, as well as increased ethical and security concerns. Earlier approaches to deception detection were mainly focused on law enforcement applications and relied on polygraph tests, which had proved to falsely accuse the innocent and free the guilty in multiple cases. In t... |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1109/TIFS.2016.2639344 | IEEE Transactions on Information Forensics and Security |
Keywords | Field | DocType |
Feature extraction,Physiology,Face,Pragmatics,Sensors,Cameras,Visualization | Computer vision,Deception,Visualization,Computer science,Polygraph,Decision tree model,Feature extraction,Artificial intelligence,Digital media,Discriminative model,Pattern recognition (psychology) | Journal |
Volume | Issue | ISSN |
12 | 5 | 1556-6013 |
Citations | PageRank | References |
7 | 0.50 | 14 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Mohamed Abouelenien | 1 | 56 | 7.37 |
| Verónica Pérez-Rosas | 2 | 154 | 11.74 |
| Rada Mihalcea | 3 | 6460 | 445.54 |
| Mihai G. Burzo | 4 | 38 | 4.54 |