Results 121 to 130 of about 1,361 (159)
Classification of psychosis spectrum disorders using graph convolutional networks with structurally constrained functional connectomes. [PDF]
Lewis M +4 more
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Vibration of effects resulting from treatment selection in mixed-treatment comparisons: a multiverse analysis on network meta-analyses of antidepressants in major depressive disorder. [PDF]
Vinatier C +3 more
europepmc +1 more source
Marital status and risk of cardiovascular disease - a multi-analyst study in epidemiology. [PDF]
Kowall B +29 more
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Quantum Collapse and Computation in an Everett Multiverse. [PDF]
Tamburini F, Licata I.
europepmc +1 more source
Metric comparison of connectome-based lesion-symptom mapping in post-stroke aphasia. [PDF]
Ding J +4 more
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CHI '13 Extended Abstracts on Human Factors in Computing Systems, 2013
Crowd-powered systems implement crowd algorithms to improve crowd work through techniques like redundancy, iteration, and task decomposition. Existing approaches require substantial programming to package tasks for the crowd and apply crowd algorithms.
Kaushik Ravichandran, Santosh Pande
+4 more sources
Crowd-powered systems implement crowd algorithms to improve crowd work through techniques like redundancy, iteration, and task decomposition. Existing approaches require substantial programming to package tasks for the crowd and apply crowd algorithms.
Kaushik Ravichandran, Santosh Pande
+4 more sources
Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data Mining, 2021
Data analyses are based on a series of "decision points" including data filtering, feature operationalization and selection, model specification, and parametric assumptions. "Multiverse Analysis" research has shown that a lack of exploration of these decisions can lead to non-robust conclusions based on highly sensitive decision points.
Mike A. Merrill, Ge Zhang, Tim Althoff
openaire +1 more source
Data analyses are based on a series of "decision points" including data filtering, feature operationalization and selection, model specification, and parametric assumptions. "Multiverse Analysis" research has shown that a lack of exploration of these decisions can lead to non-robust conclusions based on highly sensitive decision points.
Mike A. Merrill, Ge Zhang, Tim Althoff
openaire +1 more source

