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84856170135
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A survey of crowdsourcing systems
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Boston(USA), Oct.
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M.-C. Yuen, I. King, K.-S. Leung, "A Survey of Crowdsourcing Systems, " IEEE PASSAT-SOCIALCOM, Boston (USA), Oct. 2011.
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IEEE PASSAT-SOCIALCOM
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Yuen, M.-C.1
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84874886217
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The future of crowd work
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New York(USA)
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A. Kittur, J. V. Nickerson, M. Bernstein, E. Gerber, A. Shaw, J. Zimmerman, M. Lease, J. Horton, "The future of crowd work, " ACM CSCW '13, New York (USA), 2013.
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ACM CSCW '13
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Kittur, A.1
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3
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Applying the dynamics of evolution to achieve reliability in master-worker computing
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E. Christoforou, A. Fernandez Anta, C. Georgiou, M. A. Mosteiro, A. Sanchez, "Applying the dynamics of evolution to achieve reliability in master-worker computing, " Concurrency and Computation: Practice and Experience vol. 25, n. 17, pp. 2363-2380, 2013.
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Concurrency and Computation: Practice and Experience
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Algorithmic mechanisms for internet-based master-worker computing with untrusted and selfish workers
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Atlanta(USA)
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A. Fernandez Anta, C. Georgiou, M. A. Mosteiro, "Algorithmic mechanisms for internet-based master-worker computing with untrusted and selfish workers, " IEEE IPDPS 2010, Atlanta (USA), 2010.
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IEEE IPDPS 2010
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Fernandez Anta, A.1
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Mosteiro, M.A.3
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Reliable internet-based master-worker computing in the presence of malicious workers
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Parallel Processing Letters
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Fernandez Anta, A.1
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Truthful incentives in crowdsourcing tasks using regret minimization mechanisms
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Rio de Janeiro(Brazil)
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A. Singla, A. Krause, "Truthful incentives in crowdsourcing tasks using regret minimization mechanisms, " WWW '13, Rio de Janeiro (Brazil), 2013.
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(2013)
WWW '13
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Singla, A.1
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Incentives for truthful reporting in crowdsourcing
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Valencia(Spain)
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E. Kamar, E. Horvitz, "Incentives for truthful reporting in crowdsourcing, " AAMAS '12, Valencia (Spain), 2012.
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AAMAS '12
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Kamar, E.1
Horvitz, E.2
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Efficiently learning the accuracy of labeling sources for selective sampling
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New York(USA)
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P. Donmez, J. G. Carbonell, J. Schneider, "Efficiently learning the accuracy of labeling sources for selective sampling, " ACM KDD '09, New York (USA), 2009.
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ACM KDD '09
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Donmez, P.1
Carbonell, J.G.2
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9
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Active learning from multiple noisy labelers with varied costs
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Sydney(Australia)
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Y. Zheng, S. Scott, K. Deng, "Active learning from multiple noisy labelers with varied costs, " IEEE ICDM 2010, Sydney (Australia), 2010.
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(2010)
IEEE ICDM 2010
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Zheng, Y.1
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10
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84856118112
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Budget-optimal crowdsourcing using low-rank matrix approximations
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28-30 Sept.
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D. R. Karger, S. Oh, D. Shah, "Budget-optimal Crowdsourcing Using Low-rank Matrix Approximations, " 2011 49th Annual Allerton Conference on Communication, Control, and Computing (Allerton), pp. 284, 291, 28-30 Sept. 2011.
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2011 49th Annual Allerton Conference on Communication, Control, and Computing(Allerton)
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Karger, D.R.1
Oh, S.2
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11
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Budget-optimal task allocation for reliable crowdsourcing systems
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D. R. Karger, S. Oh, D. Shah, "Budget-Optimal Task Allocation for Reliable Crowdsourcing Systems, " Operations Research vol. 62, no. 1, pp. 1-24, 2014.
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Operations Research
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Karger, D.R.1
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Efficient crowdsourcing for multi-class labeling
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Pittsburgh(USA)
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D. R. Karger, S. Oh, D. Shah, "Efficient crowdsourcing for multi-class labeling, " ACM SIGMETRICS, Pittsburgh (USA), 2013.
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ACM SIGMETRICS
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Karger, D.R.1
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Who moderates the moderators?: Crowdsourcing abuse detection in user-generated content
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New York(USA)
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A. Ghosh, S. Kale, P. McAfee, "Who moderates the moderators?: crowdsourcing abuse detection in user-generated content, " ACM EC '11, New York (USA).
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ACM EC '11
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Ghosh, A.1
Kale, S.2
McAfee, P.3
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Maximizing a monotone submodular function subject to a matroid constraint
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G. Calinescu, C. Chekuri, M. Pl, J. Vondrk, "Maximizing a Monotone Submodular Function Subject to a Matroid Constraint, " SIAM Journal on Computing, vol. 40, n. 6, pp. 1740-1766, 2011.
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SIAM Journal on Computing
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Calinescu, G.1
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Pl, M.3
Vondrk, J.4
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17
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84954569006
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Technical Report
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Technical Report http: //arxiv. org/pdf/1411. 7960v1. pdf
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