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python3 gentopic.py
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#python3 gentopic.py
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lualatex --shell-escape slides
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lualatex --shell-escape slides
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biber slides
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biber slides
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lualatex --shell-escape slides
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lualatex --shell-escape slides
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print("really?")
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exit()
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import os
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import os
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import json
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import json
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[0] Config.pm:311> INFO - This is Biber 2.16
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[0] Config.pm:314> INFO - Logfile is 'slides.blg'
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[51] biber:340> INFO - === Fr Apr 1, 2022, 13:45:40
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[52] biber:340> INFO - === Mo Apr 4, 2022, 10:53:33
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[61] Biber.pm:415> INFO - Reading 'slides.bcf'
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[64] Biber.pm:415> INFO - Reading 'slides.bcf'
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[111] Biber.pm:952> INFO - Found 0 citekeys in bib section 0
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[119] Utils.pm:395> WARN - The file 'slides.bcf' does not contain any citations!
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[125] bbl.pm:654> INFO - Writing 'slides.bbl' with encoding 'UTF-8'
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[122] bbl.pm:757> INFO - Output to slides.bbl
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[126] bbl.pm:757> INFO - Output to slides.bbl
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[122] Biber.pm:128> INFO - WARNINGS: 1
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[126] Biber.pm:128> INFO - WARNINGS: 1
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This is LuaHBTeX, Version 1.13.2 (TeX Live 2021/Arch Linux) (format=lualatex 2022.2.18) 1 APR 2022 13:45
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This is LuaHBTeX, Version 1.13.2 (TeX Live 2021/Arch Linux) (format=lualatex 2022.2.18) 4 APR 2022 10:53
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system commands enabled.
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system commands enabled.
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**slides
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**slides
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(./slides.tex
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(./slides.tex
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terns).
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> {german/localnumeral} => {polyglossia@C@localnumeral}
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> {german/Localnumeral} => {polyglossia@C@localnumeral}.
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> {german/Localnumeral} => {polyglossia@C@localnumeral}.
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File: german.lbx 2020/12/31 v3.16 biblatex localization (PK/MW)
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(polyglossia) loader loadhyph-de-1996.tex
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<./illustrations/chiara.png>]) (./topics/bin.tex
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<./illustrations/bin.png>]) (./topics/benedikt.tex
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\begin{frame}
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\begin{frame}
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\frametitle{Topic 1: Shapley Values}
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\frametitle{Topic 1: Shapley Values}
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\Large \textbf{Shapley Values for Feature Selection: The Good, the Bad, and the Axioms} (Fryer, Strümke, Nguyen, et al., 2020)\\
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%\Large \\
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\LARGE \textbf{Chapter:} 9.2,9.5 and 9.6 \textbf{Supervisor:} Chiara Balestra (chiara.balestra@cs.uni-dortmund.de)\\
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\LARGE \textbf{Chapter:} 9.2,9.5 and 9.6 + 2/3 papers \\
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\textbf{Supervisor:} Chiara Balestra (chiara.balestra@cs.uni-dortmund.de)\\
|
||||||
|
|
||||||
%\begin{center}
|
%\begin{center}
|
||||||
%\includegraphics[height=3cm]{illustrations/chiara.png}
|
%\includegraphics[height=3cm]{illustrations/chiara.png}
|
||||||
%\end{center}
|
%\end{center}
|
||||||
|
|
||||||
\begin{columns}
|
\begin{columns}
|
||||||
\begin{column}{.575\textwidth}
|
%\begin{column}{.3\textwidth}
|
||||||
\begin{center}
|
% \begin{center}
|
||||||
\includegraphics[height=3cm]{illustrations/chiara.png}
|
% \includegraphics[height=3cm]{illustrations/chiara.png}
|
||||||
\end{center}
|
% \end{center}
|
||||||
\end{column}
|
%\end{column}
|
||||||
\begin{column}{.375\textwidth}
|
\begin{column}{0.475\textwidth}
|
||||||
\begin{itemize}
|
Focus either on Computer Science
|
||||||
\item Use game theory to explain the output of a model
|
\begin{itemize}
|
||||||
\item You could either focus on cs theory or on medical application
|
\item \small\textbf{Shapley Values for Feature Selection: The Good, the Bad, and the Axioms} (Fryer et al. 2020)
|
||||||
\end{itemize}
|
\item \textbf{Explaining Models by Propagating Shapley Values of Local Components} (Chen et al. 2020)
|
||||||
|
\item \textbf{GraphSVX: Shapley Value Explanations for Graph Neural Networks} (Duval et al. 2021)
|
||||||
|
\end{itemize}
|
||||||
|
\end{column}
|
||||||
|
\begin{column}{0.475\textwidth}
|
||||||
|
Or on Medical Application
|
||||||
|
\begin{itemize}
|
||||||
|
\item \small\textbf{Identifying mortality factors from Machine Learning using Shapley values – a case of COVID19} (Smith et al. 2021)
|
||||||
|
\item \textbf{Explaining multivariate molecular diagnostic tests via Shapley values} (Roder et al. 2021)
|
||||||
|
\end{itemize}
|
||||||
|
\end{column}
|
||||||
|
|
||||||
\end{column}
|
|
||||||
\end{columns}
|
\end{columns}
|
||||||
|
|
||||||
|
|
||||||
|
|
|
@ -0,0 +1,42 @@
|
||||||
|
\begin{frame}
|
||||||
|
\frametitle{Topic 1: Shapley Values}
|
||||||
|
|
||||||
|
%\Large \\
|
||||||
|
\LARGE \textbf{Chapter:} 9.2,9.5 and 9.6 + 2/3 papers \\
|
||||||
|
\textbf{Supervisor:} Chiara Balestra (chiara.balestra@cs.uni-dortmund.de)\\
|
||||||
|
|
||||||
|
%\begin{center}
|
||||||
|
%\includegraphics[height=3cm]{illustrations/chiara.png}
|
||||||
|
%\end{center}
|
||||||
|
|
||||||
|
\begin{columns}
|
||||||
|
\begin{column}{.575\textwidth}
|
||||||
|
\begin{center}
|
||||||
|
\includegraphics[height=3cm]{illustrations/chiara.png}
|
||||||
|
\end{center}
|
||||||
|
\end{column}
|
||||||
|
\begin{column}{.375\textwidth}
|
||||||
|
\begin{itemize}
|
||||||
|
\item Use game theory to explain the output of a model
|
||||||
|
\begin{enumerate}
|
||||||
|
\item on cs theory
|
||||||
|
\begin{itemize}
|
||||||
|
\item \textbf{Shapley Values for Feature Selection: The Good, the Bad, and the Axioms} (Fryer et al. 2020)
|
||||||
|
\item \textbf{Explaining Models by Propagating Shapley Values of Local Components} (Chen et al. 2020)
|
||||||
|
\item \textbf{GraphSVX: Shapley Value Explanations for Graph Neural Networks} (Duval et al. 2021)
|
||||||
|
\end{itemize}
|
||||||
|
\item on medical application
|
||||||
|
\begin{itemize}
|
||||||
|
\item \textbf{Identifying mortality factors from Machine Learning using Shapley values – a case of COVID19} (Smith et al. 2021)
|
||||||
|
\item \textbf{Explaining multivariate molecular diagnostic tests via Shapley values} (Roder et al. 2021)
|
||||||
|
\end{itemize}
|
||||||
|
\end{enumerate}
|
||||||
|
|
||||||
|
\end{itemize}
|
||||||
|
|
||||||
|
\end{column}
|
||||||
|
\end{columns}
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
\end{frame}
|
|
@ -0,0 +1,28 @@
|
||||||
|
\begin{frame}
|
||||||
|
\frametitle{Topic 1: Shapley Values}
|
||||||
|
|
||||||
|
\Large \textbf{Shapley Values for Feature Selection: The Good, the Bad, and the Axioms} (Fryer, Strümke, Nguyen, et al., 2020)\\
|
||||||
|
\LARGE \textbf{Chapter:} 9.2,9.5 and 9.6 \textbf{Supervisor:} Chiara Balestra (chiara.balestra@cs.uni-dortmund.de)\\
|
||||||
|
|
||||||
|
%\begin{center}
|
||||||
|
%\includegraphics[height=3cm]{illustrations/chiara.png}
|
||||||
|
%\end{center}
|
||||||
|
|
||||||
|
\begin{columns}
|
||||||
|
\begin{column}{.575\textwidth}
|
||||||
|
\begin{center}
|
||||||
|
\includegraphics[height=3cm]{illustrations/chiara.png}
|
||||||
|
\end{center}
|
||||||
|
\end{column}
|
||||||
|
\begin{column}{.375\textwidth}
|
||||||
|
\begin{itemize}
|
||||||
|
\item Use game theory to explain the output of a model
|
||||||
|
\item You could either focus on cs theory or on medical application
|
||||||
|
\end{itemize}
|
||||||
|
|
||||||
|
\end{column}
|
||||||
|
\end{columns}
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
\end{frame}
|
Loading…
Reference in New Issue