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1. CrowdSenSys@SenSys 2017: Delft, The Netherlands

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M. Rasit Eskicioglu:
Proceedings of the First ACM Workshop on Mobile Crowdsensing Systems and Applications, CrowdSenSys@SenSys 2017, Delft, The Netherlands, November 5, 2017. ACM 2017, ISBN 978-1-4503-5555-1

Applications

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  - conf/sensys/KaurSB17
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Amanpreet Kaur, Savina Singla, Divya Bansal:
Quantifying Personal Exposure to Spatio-Temporally Distributed Air Pollutants using Mobile Sensors. 1-6
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Emanuel Lima, Ana Aguiar, Paulo Carvalho:
Offloading Surrogates Characterization via Mobile Crowdsensing. 7-12
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Xirui Fan, Jing Wu, Chengnian Long, Yanmin Zhu:
Accurate and Low-cost Mobile Indoor Localization with 2-D Magnetic Fingerprints. 13-18

Design & Systems

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Garvita Bajaj, Pushpendra Singh:
Mew: A Plug-n-Play Framework for Task Allocation in Mobile Crowdsensing. 19-24
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Jason T. Jacques, Per Ola Kristensson:
Design Strategies for Efficient Access to Mobile Device Users via Amazon Mechanical Turk. 25-30
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Mai ElSherief, Morgan Vigil-Hayes, Ramya Raghavendra, Elizabeth M. Belding:
Whom to Query?: Spatially-Blind Participatory Crowdsensing under Budget Constraints. 31-37

Data Quality

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João G. P. Rodrigues, João P. Pereira, Ana Aguiar:
Impact of Crowdsourced Data Quality on Travel Pattern Estimation. 38-43
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Qiang Xu, Rong Zheng, Ezzeldin Tahoun:
Detecting Location Fraud in Indoor Mobile Crowdsensing. 44-49
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Heng Zhang, Saurabh Bagchi, He Wang:
Integrity of Data in a Mobile Crowdsensing Campaign: A Case Study. 50-55

Security & Privacy

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Aarathi Prasad, Xiaohui Liang, David Kotz:
SPICE: Secure Proximity-based Infrastructure for Close Encounters. 56-61
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Lars Huning, Jan Bauer, Nils Aschenbruck:
A Privacy Preserving Mobile Crowdsensing Architecture for a Smart Farming Application. 62-67
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Chris Xiaoxuan Lu, Bowen Du, Xuan Kan, Hongkai Wen, Andrew Markham, Niki Trigoni:
VeriNet: User Verification on Smartwatches via Behavior Biometrics. 68-73

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