Search
Now showing items 1-2 of 2
Using In-Situ Statistics and a Spatially-Aware Kernel for Longitudinal Neuroimaging Analysis
(2013-06-13)
This paper introduces a framework for analyzing longitudinal neuroimaging datasets. We address the problem of detecting subtle, short-term changes in neural structure that are indicative of cognitive decline and correlate ...
To Join or Not to Join? Thinking Twice about Joins before Feature Selection
(2015-11-27)
Closer integration of machine learning (ML) with data processing is a booming area in both the data management industry and academia. Almost all ML toolkits assume that the input is a single table, but many datasets are ...


