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Found 4 papers, 3 papers with code
Developing A Visual-Interactive Interface for Electronic Health Record Labeling: An Explainable Machine Learning Approach
Labeling a large number of electronic health records is expensive and time consuming, and having a labeling assistant tool can significantly reduce medical experts' workload.
Dirichlet Mechanism for Differentially Private KL Divergence Minimization
Given an empirical distribution $f(x)$ of sensitive data $x$, we consider the task of minimizing $F(y) = D_{\text{KL}} (f(x)\Vert y)$ over a probability simplex, while protecting the privacy of $x$.
Short-term daily precipitation forecasting with seasonally-integrated autoencoder
On the other hand, deep learning models are good at learning nonlinear interactions, but they are not designed to deal with the seasonality in time series.
Universal consistency of Wasserstein $k$-NN classifier: Negative and Positive Results
We show that the $k$-NN classifier is not universally consistent on the space of measures supported in $(0, 1)$.
