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DSD/sds/detectors_evaluation/images/complexity.png
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DSD/sds/detectors_evaluation/main.tex
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\documentclass[aspectratio=169,10pt]{beamer}
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\usetheme[progressbar=head,numbering=fraction,sectionpage=none]{metropolis}
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\usepackage{graphicx}
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\usepackage{ulem}
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\usepackage{xcolor}
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\usepackage[scale=2]{ccicons}
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\usepackage{pgfplots}
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\usepgfplotslibrary{dateplot}
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\usepackage{hyperref}
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\usepackage{xspace}
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\newcommand{\themename}{\textbf{\textsc{metropolis}}\xspace}
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\title{State Detection and Segmentation (SDS)}
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\subtitle{May the best detector win.}
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\date{}
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\author{Arthur Grisel-Davy}
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\institute{University of Waterloo - EET2 Project}
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\begin{document}
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\maketitle
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\begin{frame}{Goal}
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\begin{center}
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Detect the state of the machine at any point in time.
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\includegraphics[width=0.9\textwidth]{images/trace.pdf}
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\end{center}
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\end{frame}
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\begin{frame}{Training Data}
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\begin{center}
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Proto Examples:
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\includegraphics[width=\textwidth]{images/protos.pdf}
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\end{center}
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\begin{itemize}
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\item Not exacts examples.
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\item Various lengths.
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\item Tile any trace completely.
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\end{itemize}
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\end{frame}
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\begin{frame}{Evaluation Ground}
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\begin{itemize}
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\item Synthetically generated input trace \& protos.
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\item Trace start at randomly selected sample.
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\item Score: global accuracy $\left(\dfrac{TP+TN}{TP+TN+FP+FN}\right)$
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\end{itemize}
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\end{frame}
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\begin{frame}{Simplest Detector}
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Label each sample with the closest proto example.
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\begin{center}
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\includegraphics[width=0.7\textwidth]{images/simplest.pdf}
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\end{center}
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\end{frame}
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\begin{frame}{Scoreboard}
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\begin{table}
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\begin{tabular}{l|c}
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\textbf{Detector} & Simplest\\
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\textbf{Score} & 0.32\\
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\end{tabular}
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\end{table}
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\end{frame}
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\begin{frame}{Confident Detector}
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The complete length of the closest proto example is assigned the label.
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\begin{center}
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\includegraphics[width=0.7\textwidth]{images/confident.pdf}
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\end{center}
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\end{frame}
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\begin{frame}{Scoreboard}
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\begin{table}
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\begin{tabular}{l|c|c}
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\textbf{Detector} & Simplest & Confident\\
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\textbf{Score} & 0.32 & 0.69 \\
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\end{tabular}
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\end{table}
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\end{frame}
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\begin{frame}{Cautious Detector}
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The complete length of the closest proto example is assigned the label, but still moves by 1 sample.
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\begin{center}
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\includegraphics[width=0.7\textwidth]{images/cautious.pdf}
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\end{center}
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\end{frame}
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\begin{frame}{Scoreboard}
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\begin{table}
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\begin{tabular}{l|c|c|c}
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\textbf{Detector} & Simplest & Confident & Cautious\\
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\textbf{Score} & 0.32 & 0.69 & 0.39\\
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\end{tabular}
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\end{table}
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\end{frame}
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\begin{frame}{Let's be smart}
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\begin{itemize}
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\item \sout{Respect Causality} $\rightarrow$ Use all data available.
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\item Proto example represent the whole trace.
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\item Try to place each example as best as possible independently.
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\end{itemize}
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\end{frame}
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\begin{frame}{Generous label Activation}
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\begin{center}
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\includegraphics[width=\textwidth]{images/overlap.pdf}
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\end{center}
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\end{frame}
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\begin{frame}{Generous label Activation}
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\begin{center}
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\includegraphics[width=\textwidth]{images/overlap_explained.pdf}
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\end{center}
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\end{frame}
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\begin{frame}{Inter-protos Distances}
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\begin{itemize}
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\item Minimize overlaps.
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\item Resolve overlap conflicts.
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\end{itemize}
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$\rightarrow$ Compute inter-protos distances.
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\end{frame}
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\begin{frame}{Inter-protos Distances}
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\begin{center}
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\includegraphics[width=\textwidth]{images/inter_distances.pdf}
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\end{center}
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! Hyper-parameter: threshold placement coefficient (default=1)
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\end{frame}
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\begin{frame}{Detection}
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\begin{center}
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\includegraphics[height=0.9\textheight]{images/detection.pdf}
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\end{center}
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\end{frame}
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\begin{frame}{Detection}
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\begin{center}
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\includegraphics[height=0.9\textheight]{images/detection_0.7.pdf}
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\end{center}
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\end{frame}
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\begin{frame}{Detection}
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\begin{center}
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\includegraphics[height=0.9\textheight]{images/detection_0.5.pdf}
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\end{center}
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\end{frame}
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\begin{frame}{Scoreboard}
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\begin{table}
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\begin{tabular}{l|c|c|c|c}
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\textbf{Detector} & Simplest & Confident & Cautious & Inter-distances\\
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\textbf{Score} & 0.32 & 0.69 & 0.39 & 0.91 - 0.99\\
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\end{tabular}
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\end{table}
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\end{frame}
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\begin{frame}{Future Work}
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\begin{itemize}
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\item Generate real data.
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\item Evaluate impact of imperfect protos.
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\item Evaluate possibility of incomplete proto dictionary.
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\item Evaluate possibility of automatic threshold optimization.
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\end{itemize}
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\end{frame}
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\begin{frame}{Real Data}
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\begin{center}
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\includegraphics[width=\textwidth]{images/real_labeled_data_1.pdf}
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\end{center}
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\end{frame}
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\begin{frame}{Real Data (ASUS)}
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\begin{center}
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\includegraphics[width=\textwidth]{images/detection_real_asus_1_1.pdf}
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\end{center}
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\end{frame}
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\begin{frame}{Real Data (LINKSYS)}
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\begin{center}
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\includegraphics[width=\textwidth]{images/detection_real_linksys_1_1.pdf}
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\end{center}
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\end{frame}
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\begin{frame}{Increasing Complexity}
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\begin{center}
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\includegraphics[width=\textwidth]{images/complexity.png}
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\end{center}
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\end{frame}
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\begin{frame}{NUC Windows Machine}
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\begin{center}
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\includegraphics[width=\textwidth]{images/detection_real_NUC1_1_1.pdf}
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\end{center}
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\end{frame}
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\begin{frame}{NUC Windows Machine}
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\begin{enumerate}
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\item Remove Shutdown Patterns.
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\end{enumerate}
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\end{frame}
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\begin{frame}{NUC Windows Machine}
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\begin{center}
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\includegraphics[width=\textwidth]{images/detection_real_NUC1_2_1.pdf}
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\end{center}
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\end{frame}
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\begin{frame}{NUC Windows Machine}
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\begin{enumerate}
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\item Remove Shutdown Patterns.
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\item Separate BIOS and OS states.
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\end{enumerate}
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\end{frame}
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\begin{frame}{NUC Windows Machine}
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\begin{center}
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\includegraphics[width=\textwidth]{images/detection_real_NUC1_3_0.9.pdf}
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\end{center}
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\end{frame}
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\begin{frame}{Current state}
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\begin{itemize}
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\item State detection not satisfactory on Windows machines.
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\item Confusion between Activity and Reboot.
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\item Likely very performant on PLCs data.
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\end{itemize}
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\end{frame}
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\end{document}
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