Jul 10, 2020 · This article proposes unsupervised truth-finding algorithms that combine consideration of multi-modal content features with analysis of ...
This paper develops an unsupervised truth-finding approach with multi-modal data to improve the estimation accuracy of the existing methods in social sensing.
This paper proposes unsupervised truth-finding algorithms that combine consideration of multi-modal content features with analysis of propagation patterns ...
Unsupervised Fact-finding with Multi-modal Data in Social Sensing · ControlVAE: Controllable Variational Autoencoder · SenseGAN: Enabling deep learning for ...
Dive into the research topics of 'Truth Discovery with Multi-Modal Data in Social Sensing'. Together they form a unique fingerprint. Sort by; Weight ...
Sep 1, 2021 · Abstract. This article proposes unsupervised truth-finding algorithms that combine consideration of multi-modal content features with analysis ...
Unsupervised Fact-finding with Multi-modal Data in Social Sensing. July 2019. July ... Truth Discovery With Multi-Modal Data in Social Sensing. Article. Jul 2020.
In particular, we develop a multi-layer neural network model that solves the truth discovery problem in social sensing without any assumption on the prior ...
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Nov 23, 2021 · In this survey, we provide a comprehensive overview of disinformation and truth discovery in social sensing under a unified perspective, ...
In this paper, we consider the truth discovery problem in social sensing, in which an agent may receive another agent's observation (known as an information ...