Results 251 to 260 of about 3,091,272 (307)

From mechanism to phenotype: What fits in a basket trial. [PDF]

Epilepsia
Valente KD.
europepmc   +1 more source

Capturing the Hostile Attribution Bias Through Conditional Reasoning Tasks: The Hostile Reasoning Test as an Indirect Measure of Aggressiveness

European Journal of Social Psychology, EarlyView.
ABSTRACT The hostile attribution bias is considered a central component of aggressiveness. It is thought to be a rather impulsive mechanism which justifies (reactive) aggressive behaviour as logical and reasonable. Therefore, reasoning tasks may provide an unobtrusive means to make the hostile attribution bias accessible to measurement.
Paul Bacher, Manuel Becker, Fabian Hölzenbein, Hannes Krahl, Karl Christoph Klauer, Sarah Teige‐Mocigemba   +5 more
wiley   +1 more source

Sensor wide association studies in digital medicine. [PDF]

NPJ Digit Med
Steckhan N, Broghammer F, Powell D.
europepmc   +1 more source

The role of artificial intelligence in diagnostics: A new frontier for laboratory medicine in Africa. [PDF]

Afr J Lab Med
Maruta T.
europepmc   +1 more source

Lightweight Security-by-Design for TinyML Models in Constrained Embedded Environments. [PDF]

Sensors (Basel)
Alanazi HA, Alshammari KR.
europepmc   +1 more source

Improving randomized controlled trial analysis via data-adaptive borrowing. [PDF]

Biometrika
Gao C, Yang S, Shan M, Ye W, Lipkovich I, Faries D.   +5 more
europepmc   +1 more source

Utility-based optimization of Fujikawa's basket trial design - Pre-specified protocol of a comparison study. [PDF]

PLoS One
Sauer LD, Ritz A, Kieser M.
europepmc   +1 more source

Transfer learning by borrowing examples for multiclass object detection [PDF]

, 2012
Despite the recent trend of increasingly large datasets for object detection, there still exist many classes with few training examples. To overcome this lack of training data for certain classes, we propose a novel way of augmenting the training data for each class by borrowing and transforming examples from other classes.
Joseph J. Lim, Ruslan Salakhutdinov, Antonio B. Torralba   +2 more
core   +4 more sources