1 code implementation • 17 Feb 2023 • Juniper Lovato, Philip Mueller, Parisa Suchdev, Peter S. Dodds
In this study, we examine a large textual dataset of privacy policies from 1997-2019 in order to investigate the data collection activities of data brokers and data processors.
1 code implementation • 9 Jun 2021 • Jane L. Adams, Todd F. Deluca, Christopher M. Danforth, Peter S. Dodds, Yuhang Zheng, Konstantinos Anastasakis, Boyoon Choi, Allison Min, Michael M. Bessey
Data scientists across disciplines are increasingly in need of exploratory analysis tools for data sets with a high volume of features of mixed data type (quantitative continuous and discrete categorical).
no code implementations • 20 Apr 2016 • Thomas C. McAndrew, Joshua C. Bongard, Christopher M. Danforth, Peter S. Dodds, Paul D. H. Hines, James P. Bagrow
Identifying and communicating relationships between causes and effects is important for understanding our world, but is affected by language structure, cognitive and emotional biases, and the properties of the communication medium.
no code implementations • 8 Sep 2015 • Nicholas Allgaier, Tobias Banaschewski, Gareth Barker, Arun L. W. Bokde, Josh C. Bongard, Uli Bromberg, Christian Büchel, Anna Cattrell, Patricia J. Conrod, Christopher M. Danforth, Sylvane Desrivières, Peter S. Dodds, Herta Flor, Vincent Frouin, Jürgen Gallinat, Penny 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 Whelan, Gunter Schumann, Hugh Garavan, IMAGEN Consortium
In the present study, we introduce just such a method, called nonlinear functional mapping (NFM), and demonstrate its application in the analysis of resting state fMRI from a 242-subject subset of the IMAGEN project, a European study of adolescents that includes longitudinal phenotypic, behavioral, genetic, and neuroimaging data.