Nicholas A. Allgaier

According to our database, Nicholas A. Allgaier authored at least 3 papers between 2013 and 2021.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2021

Brain Predictability toolbox: a Python library for neuroimaging-based machine learning.

Sage Hahn, Dekang Yuan, Wesley K. Thompson, Max M. Owens, Nicholas A. Allgaier, Hugh Garavan

Bioinform., 2021

2015

Nonlinear functional mapping of the human brain.

Nicholas A. Allgaier, Tobias Banaschewski, Gareth J. Barker, Arun L. W. Bokde, Josh C. Bongard, Uli Bromberg, Christian Büchel, Anna Cattrell, Patricia J. Conrod, Christopher M. Danforth, Sylvane Desrivières, Peter Sheridan Dodds, Herta Flor, Vincent Frouin, Jürgen Gallinat, Penny A. Gowland, Andreas Heinz, Bernd Ittermann, Scott Mackey, Jean-Luc Martinot, Kevin Murphy, Frauke Nees, Dimitri Papadopoulos-Orfanos, Luise Poustka, Michael N. Smolka, Henrik Walter, Robert A. Whelan, Gunter Schümann, Hugh Garavan

CoRR, 2015

2013

A Deterministic and Symbolic Regression Hybrid Applied to Resting-State fMRI Data.

Ilknur Icke, Nicholas A. Allgaier, Christopher M. Danforth, Robert A. Whelan, Hugh P. Garavan, Joshua Clifford Bongard

Proceedings of the Genetic Programming Theory and Practice XI [GPTP 2013, 2013