This important study presents a new method for longitudinally tracking cells in two-photon imaging data that addresses the specific challenges of imaging neurons in the developing cortex. It provides ...

Existing outlier-aware quantization/hardware co-design methods split the sparse outliers from the normal values with dedicated encoding schemes. However, such separation produces a non-uniform data ...

It would be nice to have a plot config option for box plots to not show outliers. If there are a lot of them then it can make the report sluggish / large ...

The task of outlier detection is to identify data objects that are markedly different from or inconsistent with the normal set of data. Most existing solutions typically build a model using the normal ...

Boeing 787 Dreamliner Black Box Recovered, Data Under Scrutiny To Provide Insights Into Fatal Air India Crash ...