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Some of the next articles are maybe not open access.

Siri, Siri, in my hand: Who’s the fairest in the land? On the interpretations, illustrations, and implications of artificial intelligence

Business Horizons, 2019
Artificial intelligence (AI)—defined as a system’s ability to correctly interpret external data, to learn from such data, and to use those learnings to achieve specific goals and tasks through flexible adaptation—is a topic in nearly every boardroom and ...
Andreas M Kaplan, Michael Haenlein
exaly   +2 more sources

Bias in random forest variable importance measures: Illustrations, sources and a solution

open access: yesBMC Bioinformatics, 2007
BackgroundVariable importance measures for random forests have been receiving increased attention as a means of variable selection in many classification tasks in bioinformatics and related scientific fields, for instance to select a subset of genetic ...
Carolin Strobl   +2 more
exaly   +2 more sources

Consequences of relying on statistical significance: Some illustrations

European Journal of Clinical Investigation, 2018
Ben Van Calster   +2 more
exaly   +2 more sources

Aligning Text and Document Illustrations: Towards Visually Explainable Digital Humanities

International Conference on Pattern Recognition, 2018
While several approaches to bring vision and language together are emerging, none of them has yet addressed the digital humanities domain, which, nevertheless, is a rich source of visual and textual data.
L. Baraldi   +3 more
semanticscholar   +1 more source

Early Illustrations of Geste Antagoniste in Cervical and Generalized Dystonia

Tremor and Other Hyperkinetic Movements, 2015
Background Geste antagoniste, or sensory trick, is a voluntary maneuver that temporarily reduces the severity of dystonic postures or movements. We present a historical review of early reports and illustrations of geste antagoniste.
E. Broussolle   +5 more
semanticscholar   +1 more source

Illustration Motifs for Effective Medical Volume Illustration

IEEE Computer Graphics and Applications, 2005
The enormous amount of 3D data generated by modern scientific experiments, simulations, and scanners exacerbates the tasks of effectively exploring, analyzing, and communicating the essential information from these data sets. The expanding field of biomedicine creates data sets that challenge current techniques to effectively communicate information ...
Nikolai, Svakhine   +2 more
openaire   +2 more sources

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