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Disruption of Epistemic Trust in Borderline Personality Disorder: A Possible Adaptation to Avoid Making Costly Mistakes. [PDF]
Kurt Y.
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2024 5th International Conference on Information Science, Parallel and Distributed Systems (ISPDS), 2023
Deception detection is gaining increasing interest due to ethical and security concerns. This paper explores the application of convolutional neural networks for the purpose of multimodal deception detection.
Panfeng Li+2 more
semanticscholar +1 more source
Deception detection is gaining increasing interest due to ethical and security concerns. This paper explores the application of convolutional neural networks for the purpose of multimodal deception detection.
Panfeng Li+2 more
semanticscholar +1 more source
IEEE Transactions on Smart Grid, 2023
With the rapid development of the information and communication technology in DC microgrids (DCmGs), the threat of deception attacks has been widely recognized.
Mengxiang Liu+5 more
semanticscholar +1 more source
With the rapid development of the information and communication technology in DC microgrids (DCmGs), the threat of deception attacks has been widely recognized.
Mengxiang Liu+5 more
semanticscholar +1 more source
Multimodal Deception Detection Using Real-Life Trial Data
IEEE Transactions on Affective Computing, 2022Hearings of witnesses and defendants play a crucial role when reaching court trial decisions. Given the high-stakes nature of trial outcomes, developing computational models that assist the decision-making process is an important research venue.
Umut Mehmet Sen+5 more
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IEEE Transactions on Circuits and Systems Part 1: Regular Papers, 2023
This paper focuses on the problem of distributed fault detection and leader-following output consensus for heterogeneous multiagent systems subject to deception attacks.
Shanglin Li, Yangzhou Chen, P. X. Liu
semanticscholar +1 more source
This paper focuses on the problem of distributed fault detection and leader-following output consensus for heterogeneous multiagent systems subject to deception attacks.
Shanglin Li, Yangzhou Chen, P. X. Liu
semanticscholar +1 more source
Concurrent Cyber Deception Attack Detection of Consensus Control in Isolated AC Microgrids
IEEE transactions on industry applications, 2023The sparse communication network exposes the AC microgrid (MG) with higher risk under malicious cyber attacks. Intrusion detection of malicious cyber attacks becomes a critical issue in operations of isolated AC MGs. In this work, a general framework for
Lin-Yu Lu+3 more
semanticscholar +1 more source
, 2022
There are a lot of different ways one can classify a document, including whether there is some degree of deception in a text. Of course, why people deceive is a multi-faceted issue ...
Norah E. Dunbar
semanticscholar +1 more source
There are a lot of different ways one can classify a document, including whether there is some degree of deception in a text. Of course, why people deceive is a multi-faceted issue ...
Norah E. Dunbar
semanticscholar +1 more source
Multimodal Political Deception Detection
IEEE Multimedia, 2021Political statements are carefully crafted to garner public support for a particular ideology. These statements are often biased and sometimes misleading.
Manvi Kamboj+4 more
semanticscholar +1 more source
Clinical Neuropsychologist, 2020
Objective: The present study, adhering to Preferred Reporting Items for Systematic review and Meta-Analyses (PRISMA) guidelines, is the first systematic review and meta-analysis of the Test of Memory Malingering (TOMM) to examine traditional and ...
Phillip K Martin+6 more
semanticscholar +1 more source
Objective: The present study, adhering to Preferred Reporting Items for Systematic review and Meta-Analyses (PRISMA) guidelines, is the first systematic review and meta-analysis of the Test of Memory Malingering (TOMM) to examine traditional and ...
Phillip K Martin+6 more
semanticscholar +1 more source