[图书][B] Social sensing: building reliable systems on unreliable data

D Wang, T Abdelzaher, L Kaplan - 2015 - books.google.com
Increasingly, human beings are sensors engaging directly with the mobile Internet.
Individuals can now share real-time experiences at an unprecedented scale. Social …

Internet-of-Things and information fusion: Trust perspective survey

F Azzedin, M Ghaleb - Sensors, 2019 - mdpi.com
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 …

Trust estimation and fusion of uncertain information by exploiting consistency

L Kaplan, M Şensoy, G de Mel - 17th International Conference …, 2014 - ieeexplore.ieee.org
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 …

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 …

Partial observable update for subjective logic and its application for trust estimation

L Kaplan, M Şensoy, S Chakraborty, G de Mel - Information Fusion, 2015 - Elsevier
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 …

Crowdsourcing with multi-dimensional trust

X Liu, H He, JS Baras - 2015 18th International Conference on …, 2015 - ieeexplore.ieee.org
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 …

Reasoning with streamed uncertain information from unreliable sources

S Arunkumar, M Sensoy, M Srivatsa… - Expert Systems with …, 2015 - Elsevier
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 …

Uncertainty characterization and fusion of information from unreliable sources

L Kaplan, M Şensoy - Information Quality in Information Fusion and …, 2019 - Springer
Intelligent systems collect information from various sources to support their decision-making.
However, misleading information may lead to wrong decisions with significant losses …

Crowdsourcing with multi-dimensional trust and active learning

X Liu, JS Baras - 2017 IEEE 56th Annual Conference on …, 2017 - ieeexplore.ieee.org
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 …

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 …