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Volumn 14, Issue 10, 2016, Pages 551-560

Assessing data quality in citizen science

Author keywords

[No Author keywords available]

Indexed keywords

ASSESSMENT METHOD; DATA QUALITY; DATA SET; KNOWLEDGE; PROJECT DESIGN; RESOURCE MANAGEMENT; TRAINING;

EID: 84999633667     PISSN: 15409295     EISSN: 15409309     Source Type: Journal    
DOI: 10.1002/fee.1436     Document Type: Article
Times cited : (555)

References (65)
  • 2
    • 34347232309 scopus 로고    scopus 로고
    • Did You Feel It?” intensity data: a surprisingly good measure of earthquake ground motion
    • Atkinson GM and Wald DJ. 2007. “Did You Feel It?” intensity data: a surprisingly good measure of earthquake ground motion. Seismol Res Lett 78: 362–68.
    • (2007) Seismol Res Lett , vol.78 , pp. 362-368
    • Atkinson, G.M.1    Wald, D.J.2
  • 3
    • 70350170072 scopus 로고    scopus 로고
    • In the eye of the beholder: bias and stochastic variation in cover estimates
    • Bergstedt J, Westerberg L, and Milberg P. 2009. In the eye of the beholder: bias and stochastic variation in cover estimates. Plant Ecol 204: 271–83.
    • (2009) Plant Ecol , vol.204 , pp. 271-283
    • Bergstedt, J.1    Westerberg, L.2    Milberg, P.3
  • 4
    • 84899787240 scopus 로고    scopus 로고
    • Statistical solutions for error and bias in global citizen science datasets
    • Bird TJ, Bates AE, Lefcheck JS, et al. 2014. Statistical solutions for error and bias in global citizen science datasets. Biol Conserv 173: 144–54.
    • (2014) Biol Conserv , vol.173 , pp. 144-154
    • Bird, T.J.1    Bates, A.E.2    Lefcheck, J.S.3
  • 5
    • 0030513967 scopus 로고    scopus 로고
    • The use of volunteer initiatives in conducting urban forest resource inventories
    • Bloniarz DV and Ryan HDP III. 1996. The use of volunteer initiatives in conducting urban forest resource inventories. J Arboric 22: 75–82.
    • (1996) J Arboric , vol.22 , pp. 75-82
    • Bloniarz, D.V.1    Ryan, H.D.P.2
  • 6
    • 84896948855 scopus 로고    scopus 로고
    • Next steps for citizen science
    • Bonney R, Shirk JL, Phillips TB, et al. 2014. Next steps for citizen science. Science 343: 1436–37.
    • (2014) Science , vol.343 , pp. 1436-1437
    • Bonney, R.1    Shirk, J.L.2    Phillips, T.B.3
  • 7
    • 84864558589 scopus 로고    scopus 로고
    • Data validation in citizen science: a case study from Project FeederWatch
    • Bonter DN and Cooper CB. 2012. Data validation in citizen science: a case study from Project FeederWatch. Front Ecol Environ 10: 305–07.
    • (2012) Front Ecol Environ , vol.10 , pp. 305-307
    • Bonter, D.N.1    Cooper, C.B.2
  • 9
    • 84999813567 scopus 로고    scopus 로고
    • In Proceedings of the First International Conference on Gameful Design, ResearchApplications; 2–4 Oct 2013., Stratford, Canada, ACM
    • Bowser A, Hansen D, He Y, et al. 2013. Using gamification to inspire new citizen science volunteers. In: Proceedings of the First International Conference on Gameful Design, Research, and Applications; 2–4 Oct 2013. Stratford, Canada: ACM.
    • (2013) Using gamification to inspire new citizen science volunteers
    • Bowser, A.1    Hansen, D.2    He, Y.3
  • 10
    • 84952942084 scopus 로고    scopus 로고
    • Privacy in participatory research: advancing policy to support human computation
    • Bowser-Livermore A and Wiggins A. 2015. Privacy in participatory research: advancing policy to support human computation. Hum Comput 2: 19–44.
    • (2015) Hum Comput , vol.2 , pp. 19-44
    • Bowser-Livermore, A.1    Wiggins, A.2
  • 11
    • 41649089302 scopus 로고    scopus 로고
    • Citizen science: can volunteers do real research?
    • Cohn JP. 2008. Citizen science: can volunteers do real research? BioScience 58: 192–97.
    • (2008) BioScience , vol.58 , pp. 192-197
    • Cohn, J.P.1
  • 12
    • 79954646838 scopus 로고    scopus 로고
    • A review of citizen science and community-based environmental monitoring: issues and opportunities
    • Conrad CC and Hilchey KG. 2011. A review of citizen science and community-based environmental monitoring: issues and opportunities. Environ Monit Assess 176: 273–91.
    • (2011) Environ Monit Assess , vol.176 , pp. 273-291
    • Conrad, C.C.1    Hilchey, K.G.2
  • 13
    • 0018596256 scopus 로고
    • A design for estimating visibility bias in aerial surveys
    • Cook RD and Jacobson JO. 1979. A design for estimating visibility bias in aerial surveys. Biometrics 35: 735.
    • (1979) Biometrics , vol.35 , pp. 735
    • Cook, R.D.1    Jacobson, J.O.2
  • 14
    • 84906968877 scopus 로고    scopus 로고
    • The invisible prevalence of citizen science in global research: migratory birds and climate change
    • Cooper CB, Shirk J, and Zuckerberg B. 2014. The invisible prevalence of citizen science in global research: migratory birds and climate change. PLoS ONE 9: e106508.
    • (2014) PLoS ONE , vol.9
    • Cooper, C.B.1    Shirk, J.2    Zuckerberg, B.3
  • 15
    • 84881601030 scopus 로고    scopus 로고
    • Weekend bias in citizen science data reporting: implications for phenology studies
    • Courter JR, Johnson RJ, Stuyck CM, et al. 2013. Weekend bias in citizen science data reporting: implications for phenology studies. Int J Biometeorol 57: 715–20.
    • (2013) Int J Biometeorol , vol.57 , pp. 715-720
    • Courter, J.R.1    Johnson, R.J.2    Stuyck, C.M.3
  • 16
    • 84862994724 scopus 로고    scopus 로고
    • Expert variability provides perspective on the strengths and weaknesses of citizen-driven intertidal monitoring program
    • Cox TE, Philippoff J, Baumgartner E, and Smith CM. 2012. Expert variability provides perspective on the strengths and weaknesses of citizen-driven intertidal monitoring program. Ecol Appl 22: 1201–12.
    • (2012) Ecol Appl , vol.22 , pp. 1201-1212
    • Cox, T.E.1    Philippoff, J.2    Baumgartner, E.3    Smith, C.M.4
  • 17
    • 77956882882 scopus 로고    scopus 로고
    • Improving and integrating data on invasive species collected by citizen scientists
    • Crall AW, Newman GJ, Jarnevich CS, et al. 2010. Improving and integrating data on invasive species collected by citizen scientists. Biol Invasions 12: 3419–28.
    • (2010) Biol Invasions , vol.12 , pp. 3419-3428
    • Crall, A.W.1    Newman, G.J.2    Jarnevich, C.S.3
  • 18
    • 84856953738 scopus 로고    scopus 로고
    • Assessing citizen science data quality: an invasive species case study
    • Crall AW, Newman GJ, Stohlgren TJ, et al. 2011. Assessing citizen science data quality: an invasive species case study. Conserv Lett 4: 433–42.
    • (2011) Conserv Lett , vol.4 , pp. 433-442
    • Crall, A.W.1    Newman, G.J.2    Stohlgren, T.J.3
  • 19
    • 84897001773 scopus 로고    scopus 로고
    • A multicountry assessment of tropical resource monitoring by local communities
    • Danielsen F, Jensen PM, Burgess ND, et al. 2014. A multicountry assessment of tropical resource monitoring by local communities. BioScience 64: 236–51.
    • (2014) BioScience , vol.64 , pp. 236-251
    • Danielsen, F.1    Jensen, P.M.2    Burgess, N.D.3
  • 20
    • 38349126692 scopus 로고    scopus 로고
    • Marine invasive species: validation of citizen science and implications for national monitoring networks
    • Delaney DG, Sperling CD, Adams CS, and Leung B. 2008. Marine invasive species: validation of citizen science and implications for national monitoring networks. Biol Invasions 10: 117–28.
    • (2008) Biol Invasions , vol.10 , pp. 117-128
    • Delaney, D.G.1    Sperling, C.D.2    Adams, C.S.3    Leung, B.4
  • 21
    • 84864559854 scopus 로고    scopus 로고
    • The current state of citizen science as a tool for ecological research and public engagement
    • Dickinson JL, Shirk J, Bonter D, et al. 2012. The current state of citizen science as a tool for ecological research and public engagement. Front Ecol Environ 10: 291–97.
    • (2012) Front Ecol Environ , vol.10 , pp. 291-297
    • Dickinson, J.L.1    Shirk, J.2    Bonter, D.3
  • 22
    • 78149402921 scopus 로고    scopus 로고
    • Citizen science as an ecological research tool: challenges and benefits
    • Dickinson JL, Zuckerberg B, and Bonter DN. 2010. Citizen science as an ecological research tool: challenges and benefits. Annu Rev Ecol Evol Syst 41: 149–72.
    • (2010) Annu Rev Ecol Evol Syst , vol.41 , pp. 149-172
    • Dickinson, J.L.1    Zuckerberg, B.2    Bonter, D.N.3
  • 23
    • 70349335465 scopus 로고    scopus 로고
    • Observer bias and the detection of low-density populations
    • Elkinton J, Ellison A, Preisser E, and Fitzpatrick M. 2009. Observer bias and the detection of low-density populations. Ecol Appl 19: 1673–79.
    • (2009) Ecol Appl , vol.19 , pp. 1673-1679
    • Elkinton, J.1    Ellison, A.2    Preisser, E.3    Fitzpatrick, M.4
  • 24
    • 85019301825 scopus 로고    scopus 로고
    • Volunteer biological monitoring: can it accurately assess the ecological condition of streams?
    • Engel SR and Voshell JRJ. 2002. Volunteer biological monitoring: can it accurately assess the ecological condition of streams? Am Entomol 48: 164–77.
    • (2002) Am Entomol , vol.48 , pp. 164-177
    • Engel, S.R.1    Voshell, J.R.J.2
  • 27
    • 33846813439 scopus 로고    scopus 로고
    • The reliability of citizen science: a case study of Oregon white oak stand surveys
    • Galloway AWE, Tudor MT, and Vander Haegen WM. 2006. The reliability of citizen science: a case study of Oregon white oak stand surveys. Wildl Soc Bull 34: 1425–29.
    • (2006) Wildl Soc Bull , vol.34 , pp. 1425-1429
    • Galloway, A.W.E.1    Tudor, M.T.2    Vander Haegen, W.M.3
  • 28
    • 84868358507 scopus 로고    scopus 로고
    • Lessons from lady beetles: accuracy of monitoring data from US and UK citizen-science programs
    • Gardiner MM, Allee LL, Brown PM, et al. 2012. Lessons from lady beetles: accuracy of monitoring data from US and UK citizen-science programs. Front Ecol Environ 10: 471–76.
    • (2012) Front Ecol Environ , vol.10 , pp. 471-476
    • Gardiner, M.M.1    Allee, L.L.2    Brown, P.M.3
  • 29
    • 84999876345 scopus 로고    scopus 로고
    • In Proceedings of the Twenty-Seventh Conference on Innovative Applications of Artificial Intelligence; 25–29 Jan 2015., Austin, TX, AAAI
    • Hines G, Swanson A, Kosmala M, and Lintott C. 2015. Aggregating user input in ecology citizen science projects. In: Proceedings of the Twenty-Seventh Conference on Innovative Applications of Artificial Intelligence; 25–29 Jan 2015. Austin, TX: AAAI.
    • (2015) Aggregating user input in ecology citizen science projects
    • Hines, G.1    Swanson, A.2    Kosmala, M.3    Lintott, C.4
  • 30
    • 84856100225 scopus 로고    scopus 로고
    • Data-intensive science applied to broad-scale citizen science
    • Hochachka WM, Fink D, Hutchinson RA, et al. 2012. Data-intensive science applied to broad-scale citizen science. Trends Ecol Evol 27: 130–37.
    • (2012) Trends Ecol Evol , vol.27 , pp. 130-137
    • Hochachka, W.M.1    Fink, D.2    Hutchinson, R.A.3
  • 31
    • 77953321472 scopus 로고    scopus 로고
    • Method learning caused a first-time observer effect in a newly started breeding bird survey
    • Jiguet F. 2009. Method learning caused a first-time observer effect in a newly started breeding bird survey. Bird Study 56: 253–58.
    • (2009) Bird Study , vol.56 , pp. 253-258
    • Jiguet, F.1
  • 32
    • 84869384799 scopus 로고    scopus 로고
    • The changing significance and definition of the biological voucher
    • In, Williams S, Hawks C, (Eds)., Washington, DC, Society for the Preservation of Natural History Collections
    • Kageyama M, Monk RR, Bradley RD, et al. 2007. The changing significance and definition of the biological voucher. In: Williams S and Hawks C (Eds). Museum studies: perspectives and innovations. Washington, DC: Society for the Preservation of Natural History Collections.
    • (2007) Museum studies: perspectives and innovations
    • Kageyama, M.1    Monk, R.R.2    Bradley, R.D.3
  • 33
    • 84899442104 scopus 로고    scopus 로고
    • In Proceedings of the 11th International Conference on Autonomous Agents and Multiagent Systems; 4–8 Jun 2012., Valencia, Spain, International Foundation for Autonomous Agents and Multiagent Systems
    • Kamar E, Hacker S, and Horvitz E. 2012. Combining human and machine intelligence in large-scale crowdsourcing. In: Proceedings of the 11th International Conference on Autonomous Agents and Multiagent Systems; 4–8 Jun 2012. Valencia, Spain: International Foundation for Autonomous Agents and Multiagent Systems.
    • (2012) Combining human and machine intelligence in large-scale crowdsourcing
    • Kamar, E.1    Hacker, S.2    Horvitz, E.3
  • 34
    • 84949032880 scopus 로고    scopus 로고
    • Can observation skills of citizen scientists be estimated using species accumulation curves?
    • Kelling S, Johnston A, Hochachka WM, et al. 2015. Can observation skills of citizen scientists be estimated using species accumulation curves? PLoS ONE 10: e0139600.
    • (2015) PLoS ONE , vol.10
    • Kelling, S.1    Johnston, A.2    Hochachka, W.M.3
  • 35
    • 0030474210 scopus 로고    scopus 로고
    • First-time observer effects in the North American Breeding Bird Survey
    • Kendall WL, Peterjohn BG, and Sauer JR. 1996. First-time observer effects in the North American Breeding Bird Survey. The Auk 113: 823–29.
    • (1996) The Auk , vol.113 , pp. 823-829
    • Kendall, W.L.1    Peterjohn, B.G.2    Sauer, J.R.3
  • 36
    • 0000137591 scopus 로고
    • Accuracy and precision of aerial moose censusing
    • LeResche RE and Rausch RA. 1974. Accuracy and precision of aerial moose censusing. J Wildl Manag 38: 175–82.
    • (1974) J Wildl Manag , vol.38 , pp. 175-182
    • LeResche, R.E.1    Rausch, R.A.2
  • 37
    • 84942910159 scopus 로고    scopus 로고
    • Investing in citizen science can improve natural resource management and environmental protection
    • McKinley DC, Miller-Rushing AJ, Ballard HL, et al. 2015. Investing in citizen science can improve natural resource management and environmental protection. Issues in Ecology 19: 1–27.
    • (2015) Issues in Ecology , vol.19 , pp. 1-27
    • McKinley, D.C.1    Miller-Rushing, A.J.2    Ballard, H.L.3
  • 38
    • 84952714841 scopus 로고    scopus 로고
    • Volunteer-run cameras as distributed sensors for macrosystem mammal research
    • McShea WJ, Forrester T, Costello R, et al. 2015. Volunteer-run cameras as distributed sensors for macrosystem mammal research. Landsc Ecol 31: 55–66.
    • (2015) Landsc Ecol , vol.31 , pp. 55-66
    • McShea, W.J.1    Forrester, T.2    Costello, R.3
  • 39
    • 84856119548 scopus 로고    scopus 로고
    • Ecoinformatics: supporting ecology as a data-intensive science
    • Michener WK and Jones MB. 2012. Ecoinformatics: supporting ecology as a data-intensive science. Trends Ecol Evol 27: 85–93.
    • (2012) Trends Ecol Evol , vol.27 , pp. 85-93
    • Michener, W.K.1    Jones, M.B.2
  • 41
    • 84864536422 scopus 로고    scopus 로고
    • The future of citizen science: emerging technologies and shifting paradigms
    • Newman G, Wiggins A, Crall A, et al. 2012. The future of citizen science: emerging technologies and shifting paradigms. Front Ecol Environ 10: 298–304.
    • (2012) Front Ecol Environ , vol.10 , pp. 298-304
    • Newman, G.1    Wiggins, A.2    Crall, A.3
  • 42
    • 0842280653 scopus 로고    scopus 로고
    • Estimating cover of benthic organisms from underwater video images: variability associated with multiple observers
    • Ninio R, Delean J, Osborne K, and Sweatman H. 2003. Estimating cover of benthic organisms from underwater video images: variability associated with multiple observers. Mar Ecol-Prog Ser 265: 107–16.
    • (2003) Mar Ecol-Prog Ser , vol.265 , pp. 107-116
    • Ninio, R.1    Delean, J.2    Osborne, K.3    Sweatman, H.4
  • 44
    • 18644385519 scopus 로고    scopus 로고
    • Temporal and geographic variation in monarch densities: citizen scientists document monarch population patterns
    • In, Oberhauser KS, Solensky MJ, (Eds)., Ithaca, NY, Cornell University Press
    • Prysby MD and Oberhauser KS. 2004. Temporal and geographic variation in monarch densities: citizen scientists document monarch population patterns. In: Oberhauser KS and Solensky MJ (Eds). Monarch butterfly biology & conservation. Ithaca, NY: Cornell University Press.
    • (2004) Monarch butterfly biology & conservation
    • Prysby, M.D.1    Oberhauser, K.S.2
  • 45
    • 84942296552 scopus 로고    scopus 로고
    • A framework for addressing ethical issues in citizen science
    • Resnik DB, Elliott KC, and Miller AK. 2015. A framework for addressing ethical issues in citizen science. Environ Sci Policy 54: 475–81.
    • (2015) Environ Sci Policy , vol.54 , pp. 475-481
    • Resnik, D.B.1    Elliott, K.C.2    Miller, A.K.3
  • 46
    • 84890825438 scopus 로고    scopus 로고
    • Citizen science as seen by scientists: methodological, epistemological and ethical dimensions
    • Riesch H and Potter C. 2014. Citizen science as seen by scientists: methodological, epistemological and ethical dimensions. Public Underst Sci 23: 107–20.
    • (2014) Public Underst Sci , vol.23 , pp. 107-120
    • Riesch, H.1    Potter, C.2
  • 47
    • 84949295485 scopus 로고    scopus 로고
    • Lilac and honeysuckle phenology data 1956–2014
    • Rosemartin AH, Denny EG, Weltzin JF, et al. 2015. Lilac and honeysuckle phenology data 1956–2014. Sci Data 2: 150038.
    • (2015) Sci Data , vol.2 , pp. 150038
    • Rosemartin, A.H.1    Denny, E.G.2    Weltzin, J.F.3
  • 48
    • 84908343383 scopus 로고    scopus 로고
    • The North American Breeding Bird Survey 1966–2011: summary analysis and species accounts
    • Sauer JR, Link WA, Fallon JE, et al. 2013. The North American Breeding Bird Survey 1966–2011: summary analysis and species accounts. North Am Fauna 79: 1–32.
    • (2013) North Am Fauna , vol.79 , pp. 1-32
    • Sauer, J.R.1    Link, W.A.2    Fallon, J.E.3
  • 49
    • 84864237609 scopus 로고    scopus 로고
    • Planet hunters: assessing the Kepler inventory of short-period planets
    • Schwamb ME, Lintott CJ, Fischer DA, et al. 2012. Planet hunters: assessing the Kepler inventory of short-period planets. Astrophys J 754: 129.
    • (2012) Astrophys J , vol.754 , pp. 129
    • Schwamb, M.E.1    Lintott, C.J.2    Fischer, D.A.3
  • 51
    • 84939825806 scopus 로고    scopus 로고
    • Rise of the citizen scientist
    • Show H. 2015. Rise of the citizen scientist. Nature 524: 265.
    • (2015) Nature , vol.524 , pp. 265
    • Show, H.1
  • 52
    • 68949137010 scopus 로고    scopus 로고
    • A new dawn for citizen science
    • Silvertown J. 2009. A new dawn for citizen science. Trends Ecol Evol 24: 467–71.
    • (2009) Trends Ecol Evol , vol.24 , pp. 467-471
    • Silvertown, J.1
  • 53
    • 84888224221 scopus 로고    scopus 로고
    • The eBird enterprise: an integrated approach to development and application of citizen science
    • Sullivan BL, Aycrigg JL, Barry JH, et al. 2014. The eBird enterprise: an integrated approach to development and application of citizen science. Biol Conserv 169: 31–40.
    • (2014) Biol Conserv , vol.169 , pp. 31-40
    • Sullivan, B.L.1    Aycrigg, J.L.2    Barry, J.H.3
  • 54
    • 84964474236 scopus 로고    scopus 로고
    • A generalized approach for producing, quantifying, and validating citizen science data from wildlife images: citizen science data quality
    • Swanson A, Kosmala M, Lintott C, and Packer C. 2016. A generalized approach for producing, quantifying, and validating citizen science data from wildlife images: citizen science data quality. Conserv Biol 30: 520–31.
    • (2016) Conserv Biol , vol.30 , pp. 520-531
    • Swanson, A.1    Kosmala, M.2    Lintott, C.3    Packer, C.4
  • 55
    • 84949114840 scopus 로고    scopus 로고
    • Global change and local solutions: tapping the unrealized potential of citizen science for biodiversity research
    • Theobald EJ, Ettinger AK, Burgess HK, et al. 2015. Global change and local solutions: tapping the unrealized potential of citizen science for biodiversity research. Biol Conserv 181: 236–44.
    • (2015) Biol Conserv , vol.181 , pp. 236-244
    • Theobald, E.J.1    Ettinger, A.K.2    Burgess, H.K.3
  • 56
    • 84964721035 scopus 로고    scopus 로고
    • The role of automated feedback in training and retaining biological recorders for citizen science: automated feedback for citizen science
    • van der Wal R, Sharma N, Mellish C, et al. 2016. The role of automated feedback in training and retaining biological recorders for citizen science: automated feedback for citizen science. Conserv Biol 30: 550–61.
    • (2016) Conserv Biol , vol.30 , pp. 550-561
    • van der Wal, R.1    Sharma, N.2    Mellish, C.3
  • 57
    • 30344481645 scopus 로고    scopus 로고
    • Modeling anuran detection and site occupancy on North American Amphibian Monitoring Program (NAAMP) routes in Maryland
    • Weir LA, Royle JA, Nanjappa P, and Jung RE. 2005. Modeling anuran detection and site occupancy on North American Amphibian Monitoring Program (NAAMP) routes in Maryland. J Herpetol 39: 627–39.
    • (2005) J Herpetol , vol.39 , pp. 627-639
    • Weir, L.A.1    Royle, J.A.2    Nanjappa, P.3    Jung, R.E.4
  • 60
    • 84874928440 scopus 로고    scopus 로고
    • In Proceedings of the 16th ACM Conference on Computer-Supported Cooperative Work and Social Computing; 23–27 Feb 2013., San Antonio, TX, ACM
    • Wiggins A. 2013. Free as in puppies: compensating for ICT constraints in citizen science. In: Proceedings of the 16th ACM Conference on Computer-Supported Cooperative Work and Social Computing; 23–27 Feb 2013. San Antonio, TX: ACM.
    • (2013) Free as in puppies: compensating for ICT constraints in citizen science
    • Wiggins, A.1
  • 61
    • 84923163249 scopus 로고    scopus 로고
    • Surveying the citizen science landscape
    • Wiggins A and Crowston K. 2015. Surveying the citizen science landscape. First Monday 20: 1.
    • (2015) First Monday , vol.20 , pp. 1
    • Wiggins, A.1    Crowston, K.2
  • 62
    • 84963625787 scopus 로고    scopus 로고
    • In Proceedings of the 19th ACM Conference on Computer-Supported Cooperative Work and Social Computing; 27 Feb–2 Mar 2016., San Francisco, CA, ACM
    • Wiggins A and He Y. 2016. Community-based data validation practices in citizen science. In: Proceedings of the 19th ACM Conference on Computer-Supported Cooperative Work and Social Computing; 27 Feb–2 Mar 2016. San Francisco, CA: ACM.
    • (2016) Community-based data validation practices in citizen science
    • Wiggins, A.1    He, Y.2
  • 64
    • 84887090067 scopus 로고    scopus 로고
    • A survey of multiple classifier systems as hybrid systems
    • Woz´niak M, Graña M, and Corchado E. 2014. A survey of multiple classifier systems as hybrid systems. Inf Fusion 16: 3–17.
    • (2014) Inf Fusion , vol.16 , pp. 3-17
    • Woz´niak, M.1    Graña, M.2    Corchado, E.3


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