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Recovering lost and absent information in temporal networks



James P. Bagrow , Sune Lehmann

* 19 pages, 5 figures, 1 table, plus supporting information 

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Efficient crowdsourcing of crowd-generated microtasks



Abigail Hotaling , James P. Bagrow

* 19 pages, 5 figures 

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UAFS: Uncertainty-Aware Feature Selection for Problems with Missing Data



Andrew J. Becker , James P. Bagrow

* 26 pages, 5 figures, 4 table 

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Accurate inference of crowdsourcing properties when using efficient allocation strategies



Abigail Hotaling , James P. Bagrow

* 21 pages, 7 figures, 1 table 

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Inferring the size of the causal universe: features and fusion of causal attribution networks



Daniel Berenberg , James P. Bagrow

* 15 pages, 4 figures, 2 tables 

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Neural language representations predict outcomes of scientific research



James P. Bagrow , Daniel Berenberg , Joshua Bongard

* 8 pages, 3 figures, plus supporting material 

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Crowd ideation of supervised learning problems



James P. Bagrow

* 25 pages (double-spaced), 8 figures 

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Crowdsourcing Predictors of Residential Electric Energy Usage



Mark D. Wagy , Josh C. Bongard , James P. Bagrow , Paul D. H. Hines

* IEEE Systems Journal, 2018 
* 11 pages, 7 figures 

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Autocompletion interfaces make crowd workers slower, but their use promotes response diversity



Xipei Liu , James P. Bagrow

* 12 pages, 6 figures 

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Zipf's law is a consequence of coherent language production



Jake Ryland Williams , James P. Bagrow , Andrew J. Reagan , Sharon E. Alajajian , Christopher M. Danforth , Peter Sheridan Dodds

* 5 pages, 4 figures 

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