Crowdsourcing without a crowd : Reliable online species identification using Bayesian models to minimize crowd size
| Data(s) |
18/05/2016
18/05/2016
01/05/2016
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| Resumo |
Acknowledgment This research is supported by an award made by the RCUK Digital Economy program to the University of Aberdeen’s dot.rural Digital Economy Hub (ref. EP/G066051/1). Peer reviewed Publisher PDF |
| Identificador |
Siddharthan , A , Lambin , C , Robinson , A-M , Sharma , N , Comont , R , O'Mahony , E , Mellish , C & Van Der Wal , R 2016 , ' Crowdsourcing without a crowd : Reliable online species identification using Bayesian models to minimize crowd size ' ACM Transactions on Intelligent Systems and Technology , vol 7 , no. 4 , 45 . , 10.1145/2776896 2157-6904 PURE: 50916326 PURE UUID: 5d7ecf58-4e65-4c89-b09f-f40f6224dff3 |
| Idioma(s) |
eng |
| Relação |
ACM Transactions on Intelligent Systems and Technology |
| Palavras-Chave | #crowdsourcing #citizen science #consensus model #Bayesian reasoning #bumblebee identification #biological recording #QA75 Electronic computers. Computer science #Engineering and Physical Sciences Research Council (EPSRC) #EP/G066051/1 #QA75 |
| Tipo |
Journal article |
| Contribuinte(s) |
University of Aberdeen, Natural & Computing Sciences, Computing Science University of Aberdeen, School of Biological Sciences, Biological Sciences University of Aberdeen, COPS Miscellaneous, COPS Administration |
