%0 Conference Paper %1 conf/mass/SailhanIT17 %A Sailhan, Françoise %A Issarny, Valérie %A Tavares-Nascimiento, Otto %B MASS %D 2017 %I IEEE Computer Society %K %P 435-443 %T Opportunistic Multiparty Calibration for Robust Participatory Sensing. %U http://dblp.uni-trier.de/db/conf/mass/mass2017.html#SailhanIT17 %@ 978-1-5386-2324-4

@inproceedings{conf/mass/SailhanIT17, added-at = {2023-12-12T22:40:20.000+0100}, author = {Sailhan, Françoise and Issarny, Valérie and Tavares-Nascimiento, Otto}, biburl = {https://www.bibsonomy.org/bibtex/22a7125b8585f0e02761452705105fec5/admin}, booktitle = {MASS}, crossref = {conf/mass/2017}, ee = {http://doi.ieeecomputersociety.org/10.1109/MASS.2017.56}, interhash = {4cc8b0ebedfa66fa0994c948a2ef4a8c}, intrahash = {2a7125b8585f0e02761452705105fec5}, isbn = {978-1-5386-2324-4}, keywords = {}, pages = {435-443}, publisher = {IEEE Computer Society}, timestamp = {2023-12-12T22:40:20.000+0100}, title = {Opportunistic Multiparty Calibration for Robust Participatory Sensing.}, url = {http://dblp.uni-trier.de/db/conf/mass/mass2017.html#SailhanIT17}, year = 2017 }