The Gap on Gap: Tackling the Problem of Differing Data Distributions in Bias-Measuring DatasetsVid KocijanOana-Maria CamburuThomas LukasiewiczNational Conference on Artificial Intelligence
Preparing participants for psychedelic experiences is crucial for ensuring these experiences are safe and, potentially beneficial. However, there is currently no validated measure to assess the extent to which participants are well-prepared for such expe
Cerebral blood flow (CBF) is crucial for brain health. Speckle contrast optical spectroscopy (SCOS) is a technique that has been recently developed to measure CBF, but the use of SCOS to measure human brain function at large source-detector separations w
The revisions have normally been upwards, and their cumulative effect is to leave a gap of almost 16% between this series and the preceding series for the overlap year of 1959-60. Other countries have also made retrospective revisions to their official historical estimates, creating a large gap...
The output of the ATC module may be annotated malware download paths (AMP) 140. The AMPs 140 may be continuously updated as new malware downloads are witnessed in the live traffic 130 and may therefore be used to aid the study of recent attack trends. Furthermore, the AMP datasets may ...
Note that no GDP estimates are included from the year 1978; this is not due to a gap in the data, but rather to a delay between publications of the Economic Trends Annual Supplement. How are the Calculations Made?One can be sure that the formulas, equations and programs used to compute ...
We demonstrate that an evaluation measure derived from information-retrieval research can take advantage of not only the rank ordering of word pairs but also the strength of associations, as with the degrees of relevance represented by human annotators in test datasets. Therefore, a measure such as...
Using 3D sensing for plant phenotyping has risen within the last years. This review provides an overview on 3D traits for the demands of plant phenotyping considering different measuring techniques, derived traits and use-cases of biological applications
Transfer learning, using CNNs pre-trained on large datasets as fixed feature extractors, has been shown to be advantageous to training from scratch especially in scenarios where the target task has access to fewer labelled samples54. Deep-learning-based assignment to deciles The assignment of each...
(We do this to avoid confusion with the widely-used bacterial 16S gene, which is homologous to our 12S marker, rather than our 16S.) After bioinformatic processing of our sequence data, we estimated multispecies site-occupancy models for the LSU and SSU datasets using parameter-expanded data ...