Author image not provided
 Goran Radanovic

Authors:
Add personal information
  Affiliation history
Bibliometrics: publication history
Average citations per article2.88
Citation Count23
Publication count8
Publication years2013-2017
Available for download4
Average downloads per article113.75
Downloads (cumulative)455
Downloads (12 Months)150
Downloads (6 Weeks)15
SEARCH
ROLE
Arrow RightAuthor only


AUTHOR'S COLLEAGUES
See all colleagues of this author




BOOKMARK & SHARE


8 results found Export Results: bibtexendnoteacmrefcsv

Result 1 – 8 of 8
Sort by:

1
September 2017
Bibliometrics:
Citation Count: 0

Intelligent systems often depend on data provided by information agents, for example, sensor data or crowdsourced human computation. Providing accurate and relevant data requires costly effort that agents may not always be willing to provide. Thus, it becomes important not only to verify the correctness of data, but also to ...

2
May 2016 AAMAS '16: Proceedings of the 2016 International Conference on Autonomous Agents & Multiagent Systems
Publisher: International Foundation for Autonomous Agents and Multiagent Systems
Bibliometrics:
Citation Count: 0
Downloads (6 Weeks): 0,   Downloads (12 Months): 14,   Downloads (Overall): 38

Full text available: PDFPDF
We consider a community of private sensors that collect measurements of a physical phenomenon, such as air pollution, and report it to a center. The center should be able to prevent low quality reports from degrading the quality of the aggregated information, as there are numerous reasons for operators to ...
Keywords: online learning, reputation systems, community sensing

3 published by ACM
March 2016 ACM Transactions on Intelligent Systems and Technology (TIST) - Special Issue on Crowd in Intelligent Systems, Research Note/Short Paper and Regular Papers: Volume 7 Issue 4, July 2016
Publisher: ACM
Bibliometrics:
Citation Count: 5
Downloads (6 Weeks): 15,   Downloads (12 Months): 113,   Downloads (Overall): 269

Full text available: PDFPDF
Crowdsourcing is widely proposed as a method to solve a large variety of judgment tasks, such as classifying website content, peer grading in online courses, or collecting real-world data. As the data reported by workers cannot be verified, there is a tendency to report random data without actually solving the ...
Keywords: Crowdsourcing, mechanism design, peer prediction

4 published by ACM
September 2015 UbiComp/ISWC'15 Adjunct: Adjunct Proceedings of the 2015 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2015 ACM International Symposium on Wearable Computers
Publisher: ACM
Bibliometrics:
Citation Count: 0
Downloads (6 Weeks): 0,   Downloads (12 Months): 6,   Downloads (Overall): 48

Full text available: PDFPDF
We consider a participatory sensing scenario where a group of private sensors observes the same phenomenon, such as air pollution. We design a novel payment mechanism that incentivizes participation and honest behavior using the peer prediction approach, i.e. by comparing sensors reports. As it is the case with other peer ...
Keywords: participatory sensing, game theory, mechanisms design

5
May 2015 AAMAS '15: Proceedings of the 2015 International Conference on Autonomous Agents and Multiagent Systems
Publisher: International Foundation for Autonomous Agents and Multiagent Systems
Bibliometrics:
Citation Count: 9
Downloads (6 Weeks): 0,   Downloads (12 Months): 17,   Downloads (Overall): 100

Full text available: PDFPDF
We consider a participatory sensing scenario where a group of private sensors observes the same phenomenon, such as air pollution. Since sensors need to be installed and maintained, owners of sensors are inclined to provide inaccurate or random data. We design a novel payment mechanism that incentivizes honest behavior by ...
Keywords: game theory, mechanism design, participatory sensing

6
January 2015 AAAI'15: Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence
Publisher: AAAI Press
Bibliometrics:
Citation Count: 2

The modern web critically depends on aggregation of information from self-interested agents, for example opinion polls, product ratings, or crowdsourcing. We consider a setting where multiple objects (questions, products, tasks) are evaluated by a group of agents. We first construct a minimal peer prediction mechanism that elicits honest evaluations from ...

7
July 2014 AAAI'14: Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence
Publisher: AAAI Press
Bibliometrics:
Citation Count: 1

We consider settings where a collective intelligence is formed by aggregating information contributed from many independent agents, such as product reviews, community sensing, or opinion polls. We propose a novel mechanism that elicits both private signals and beliefs. The mechanism extends the previous versions of the Bayesian Truth Serum (the ...

8
July 2013 AAAI'13: Proceedings of the Twenty-Seventh AAAI Conference on Artificial Intelligence
Publisher: AAAI Press
Bibliometrics:
Citation Count: 4

Several mechanisms have been proposed for incentivizing truthful reports of a private signals owned by rational agents, among them the peer prediction method and the Bayesian truth serum. The robust Bayesian truth serum (RBTS) for small populations and binary signals is particularly interesting since it does not require a common ...



The ACM Digital Library is published by the Association for Computing Machinery. Copyright © 2018 ACM, Inc.
Terms of Usage   Privacy Policy   Code of Ethics   Contact Us