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mirkobunse/README.md

I'm Researching Machine Learning

My work is mostly concerned with applications in astro-particle physics, a field that is characterized by extreme class imbalances, by a domain-specific post-processing of predictions, and by the fact that all training data is simulated while the learned models must be valid in practice. My current focuses are the aggregation of predictions in terms of ordinal quantification (a.k.a. unfolding), learning under class-conditional label noise, and the smart control of simulations through active class selection.

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  1. critdd critdd Public

    Critical difference diagrams with Python and Tikz

    Python 22 3

  2. qunfold qunfold Public

    A unified implementation of quantification and unfolding algorithms

    Python 3 3

  3. CherenkovDeconvolution.jl CherenkovDeconvolution.jl Public

    Deconvolution algorithms popular in Cherenkov astronomy

    Julia 7 2

  4. AcsCertificates.jl AcsCertificates.jl Public

    Supplementary material for papers at ECML-PKDD 2021 and IAL 2021

    Julia 1

  5. alpication alpication Public

    A LaTeX class for job applications

    TeX 1

  6. julia-knn-tutorial julia-knn-tutorial Public

    In this tutorial you will implement a k-NN classifier in the Julia programming language

    Jupyter Notebook 1