1). The false-positive rates (FPRs) in non-MPXV skin lesions of the seven dermatological repositories and databases varied between 3.4% and 22.0% (Extended Data Fig. 2). Variation in algorithm performance by image characteristics We evaluated the performance of the MPXV-CNN in regard to the...
In GLIF models, the mechanisms are separated by time scale: GLIF models aim to represent the slow linear sub-threshold behavior of a neuron and recreate the spike times, not the shape of the action potential caused by fast, non-linear ion channels. Thus, none of the fast, non-linear proc...
the passenger emotional state, e.g., emotional valence and arousal level (which can be represented as a vector). This system, through the acquisition of the appropriate physiological metrics and use of a software algorithm loaded in a physical processor, can classify the occupant's emotional ...
In contrast to the more common two-class models that have two training sets (e.g., positives and negatives), one-class methods have only a single training set and try to identify sites unlike the training set. In our OCC methods, the algorithm tries to identify a region, R, of the ...
In our OCC methods, the algorithm tries to identify a region, R, of the annotation space that contains a specified, large propor- tion (e.g. 95 % or 99 %) of the non-SVs. Sites that have annotations falling outside R are classified as SVs. In es- sence, these are outliers ...