The field of fairness in machine learning has yet to settle on definitions. At a high level, there are (at least) two approaches: individual, and statistical definitions of fairness. Statistical definitions of fairness ask that some statistic of the classifier (like error rate or false positive rate) be equalized across some set of groups. While...
Creator:
Roth, Aaron (University of Pennsylvania)
Created:
2019-06-20
Contributed By:
University of Minnesota, Institute for Mathematics and its Applications.
Predictive modeling of physical processes in heterogeneous media requires innovations in mathematical and computational thinking. While multiscale approaches have been successful in modeling the effects of fine scales to macroscopic response, a significant grant challenge remains in understanding the effects of topological uncertainties in chara...
Creator:
Zabaras, Nicholas J. (Cornell University)
Created:
2013-12-16
Contributed By:
University of Minnesota, Institute for Mathematics and its Applications.
There is tremendous growth in agriculture big data such as high-resolution remote sensing data for global agricultural monitoring, weather prediction for crop insurance, and precision agricultural maps from soil-quality to yield. Thus, there is growing interest in leveraging this big data for smart agriculture to enable farmers to optimize farm ...
Creator:
Shekhar, Shashi (University of Minnesota, Twin Cities)
Created:
2017-10-26
Contributed By:
University of Minnesota, Institute for Mathematics and its Applications.
There is a several decade history demonstrating that electrical polarization of neurons can modulate neuronal firing, and that such polarization can suppress (or excite) spiking activity and seizures. In recent years, we uncovered a unification in the computational biophysics of spikes, seizures, and spreading depression (Wei et al J Neurosci 34...
Creator:
Schiff, Steven (The Pennsylvania State University)
Created:
2018-02-12
Contributed By:
University of Minnesota, Institute for Mathematics and its Applications.
Dynamical underpinnings of the effects of transient eddy forcing on large-scale circulation are explored by considering effectsof spatially localized oscillatory forcing on wind-driven double gyres. The outcome is in terms of understanding what arethe key eddy forcing parameters and locations.
Creator:
Berloff, Pavel (Imperial College London)
Created:
2013-03-15
Contributed By:
University of Minnesota, Institute for Mathematics and its Applications.
