Zobrazeno 1 - 10
of 20
pro vyhledávání: '"V. S. Subrahmanian"'
Autor:
Youdinghuan Chen, Chongyang Gao, Daveed Gartenstein-Ross, Kevin T. Greene, Karin Kalif, Sarit Kraus, Francesco Parisi, Chiara Pulice, Anja Subasic, V. S. Subrahmanian
Publikováno v:
IEEE Transactions on Computational Social Systems. :1-13
Autor:
Daniele Bellutta, V. S. Subrahmanian, Daveed Gartenstein-Ross, Anja Subasic, Youdinghuan Chen, Chiara Pulice
Publikováno v:
IEEE Transactions on Computational Social Systems. 7:1423-1434
We propose and investigate 14 hypotheses linking changes in the intensity of relationships between two factions in the Al-Qaeda/ISIS ( AQ/ISIS ) (ecosystem to future changes in other relationships involving one of those two factions. Using a novel 28
Autor:
V. S. Subrahmanian, Anshul Sawant, Edoardo Serra, Sarit Kraus, Haipeng Chen, MohammadTaghi Hajiaghayi, Yanhai Xiong
Publikováno v:
IEEE Transactions on Computational Social Systems. 7:42-57
Although most game theory models assume that payoff matrices are provided as input, getting payoff matrices in strategic games (e.g., corporate negotiations and counter-terrorism operations) has proven difficult. To tackle this challenge, we propose
Publikováno v:
IEEE Transactions on Computational Social Systems. 5:1096-1108
It has been reported that embedded URLs and multimodal content (images, video, and sound recordings) in tweets are increasingly used to seduce users into a “wrong click,” leading to malware infection. In this paper, we predict whether a tweet is
Autor:
Brad Walls, Bradley Dorn, Judee K. Burgoon, Saiying Ge, Xinran Wang, V. S. Subrahmanian, Matt Giles, Jay F. Nunamaker, Norah E. Dunbar, Xunyu Chen
Publikováno v:
Terrorism, Security, and Computation ISBN: 9783030543822
The majority of deception research to date has focused on deception in the context of dyadic communication. Among this body of research are efforts to identify what signals can be used to discriminate deceivers from non-deceivers. The general form of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::17863acde16f38b5f7fde9b6c573f788
https://doi.org/10.1007/978-3-030-54383-9_4
https://doi.org/10.1007/978-3-030-54383-9_4
Autor:
V. S. Subrahmanian, Maksim Bolonkin, Dimitris N. Metaxas, Judee K. Burgoon, Norah E. Dunbar, Chongyang Bai, Lezi Wang
Publikováno v:
Terrorism, Security, and Computation ISBN: 9783030543822
BMVC
BMVC
In this study, we address a cross-domain problem of applying computer vision approaches to reason about human facial behavior when people play The Resistance game. To capture the facial behaviors, we first collect several hours of video where the par
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::507e4c2ba33e1382566362657644aa36
https://doi.org/10.1007/978-3-030-54383-9_7
https://doi.org/10.1007/978-3-030-54383-9_7
Autor:
Jure Leskovec, Miriam J. Metzger, Jay F. Nunamaker, Srijan Kumar, V. S. Subrahmanian, Chongyang Bai
Publikováno v:
IJCAI
Visual focus of attention in multi-person discussions is a crucial nonverbal indicator in tasks such as inter-personal relation inference, speech transcription, and deception detection. However, predicting the focus of attention remains a challenge b
The problem of understanding the reasons behind why different machine learning classifiers make specific predictions is a difficult one, mainly because the inner workings of the algorithms underlying such tools are not amenable to the direct extracti
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::147aaa4c989c37fcd2a13b748db8baf8
https://ieeexplore.ieee.org/document/8668423
https://ieeexplore.ieee.org/document/8668423
Autor:
V. S. Subrahmanian, Judee K. Burgoon, Chongyang Bai, Norah E. Dunbar, Chao Chen, Maksim Bolonkin, Bharat Singh, Zhe Wu
Publikováno v:
ICME
Most work on automated deception detection (ADD) in video has two restrictions: (i) it focuses on a video of one person, and (ii) it focuses on a single act of deception in a one or two minute video. In this paper, we propose a new ADD framework whic
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::acd6c6993068df851bd2c47290313d5f
Autor:
V. S. Subrahmanian, Vadim Kagan
Publikováno v:
SocialSens@IoTDI
Understanding and anticipating the evolution of activity on social media requires insight into social network dynamics and diffusion mechanisms. M3I (Multi-stage, Multimodal, Machine Intelligence) is a platform for modeling online social phenomena th