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Found 7 papers, 1 papers with code
Identifying Medication Abuse and Adverse Effects from Tweets: University of Michigan at #SMM4H 2020
The team from the University of Michigan participated in three tasks in the Social Media Mining for Health Applications (#SMM4H) 2020 shared tasks – on detecting mentions of adverse effects (Task 2), extracting and normalizing them (Task 3), and detecting mentions of medication abuse (Task 4).
Global Results for the Inhomogeneous Muskat Problem
The inhomogeneous Muskat problem models the dynamics of an interface between two fluids of differing characteristics inside a non-uniform porous medium.
Analysis of PDEs
The Price is (Probably) Right: Learning Market Equilibria from Samples
Equilibrium computation in markets usually considers settings where player valuation functions are known.
Model Explanations with Differential Privacy
The drawback is that model explanations can leak information about the training data and the explanation data used to generate them, thus undermining data privacy.
High Dimensional Model Explanations: an Axiomatic Approach
We propose a new axiomatization for a generalization of the Banzhaf index; our method can also be thought of as an approximation of a black-box model by a higher-order polynomial.
On fiber diameters of continuous maps
We present a surprisingly short proof that for any continuous map $f : \mathbb{R}^n \rightarrow \mathbb{R}^m$, if $n>m$, then there exists no bound on the diameter of fibers of $f$.
Metric Geometry Algebraic Topology Classical Analysis and ODEs
