9 citations · 12 across the 3 of their papers we have counts for
3 papers
Brain Predictability toolbox: a Python library for neuroimaging based machine learning
Sage Hahn, Dekang Yuan, Wesley Thompson +3
Summary Brain Predictability toolbox (BPt) represents a unified framework of machine learning (ML) tools designed to work with both tabulated data (in particular brain, psychiatric…
Nonlinear functional mapping of the human brain
Nicholas Allgaier, Tobias Banaschewski, Gareth Barker +27
The field of neuroimaging has truly become data rich, and novel analytical methods capable of gleaning meaningful information from large stores of imaging data are in high demand.…
Empirical correction of a toy climate model
Nicholas A. Allgaier, Kameron D. Harris, Christopher M. Danforth
Improving the accuracy of forecast models for physical systems such as the atmosphere is a crucial ongoing effort. Errors in state estimation for these often highly nonlinear syste…