[图书][B] Social sensing: building reliable systems on unreliable data
Increasingly, human beings are sensors engaging directly with the mobile Internet.
Individuals can now share real-time experiences at an unprecedented scale. Social …
Individuals can now share real-time experiences at an unprecedented scale. Social …
Internet-of-Things and information fusion: Trust perspective survey
The advent of Internet-of-Things (IoT) is creating an ecosystem of smart applications and
services enabled by a multitude of sensors. The real value of these IoT smart applications …
services enabled by a multitude of sensors. The real value of these IoT smart applications …
Trust estimation and fusion of uncertain information by exploiting consistency
Agents may cooperate by communicating their opinions about various phenomena. These
opinions are then fused by agents and used for informed decision-making. However, fusing …
opinions are then fused by agents and used for informed decision-making. However, fusing …
Using Toulmin's Argumentation Model to Enhance Trust in Analytics-Based Advice Giving Systems
E Rubin, I Benbasat - ACM Transactions on Management Information …, 2023 - dl.acm.org
Ecommerce websites increasingly provide predictive analytics-based advice (PAA), such as
advice about future potential price reductions. Establishing consumer-trust in these advice …
advice about future potential price reductions. Establishing consumer-trust in these advice …
Partial observable update for subjective logic and its application for trust estimation
Subjective Logic (SL) is a type of probabilistic logic, which is suitable for reasoning about
situations with uncertainty and incomplete knowledge. In recent years, SL has drawn a …
situations with uncertainty and incomplete knowledge. In recent years, SL has drawn a …
Crowdsourcing with multi-dimensional trust
We consider a typical crowdsourcing task that aggregates input from multiple workers as a
problem in information fusion. To cope with the issue of noisy and sometimes malicious …
problem in information fusion. To cope with the issue of noisy and sometimes malicious …
Reasoning with streamed uncertain information from unreliable sources
Humans or intelligent software agents are increasingly faced with the challenge of making
decisions based on large volumes of streaming information from diverse sources. Decision …
decisions based on large volumes of streaming information from diverse sources. Decision …
Uncertainty characterization and fusion of information from unreliable sources
Intelligent systems collect information from various sources to support their decision-making.
However, misleading information may lead to wrong decisions with significant losses …
However, misleading information may lead to wrong decisions with significant losses …
Crowdsourcing with multi-dimensional trust and active learning
We consider a typical crowdsourcing task that aggregates input from multiple workers as a
problem in information fusion. To cope with the issue of noisy and sometimes malicious …
problem in information fusion. To cope with the issue of noisy and sometimes malicious …
Fusion of subjective opinions through behavior estimation
G Ayci - 2016 - acikbilim.yok.gov.tr
Information is significantly important in almost all decision-making process. A decision-
maker agent collects information from diverse sources. Thus, it should correctly fuse …
maker agent collects information from diverse sources. Thus, it should correctly fuse …