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\lfoot{CoDaWork2019, Terrassa (Spain)}  % Proceedings CoDaWork 2019. Leave this as it is
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\begin{document}
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\begin{center}
\textbf{\large Title: Instructions for authors - CoDaWork2019}

\bigskip
\textbf{A.N. Other}$^{1}$\textbf{, U.T. Cobley}$^{2}$\textbf{, and S.F. Adams}$^{3}$ \\
{\small
$^{1}$Bloggs University, Biggleswade, UK; \textit{an.other@email.com} \\
$^{2}$Institute of Mathematical Geology, St.Petersburg, Russia \\
$^{3}$PB Petroleum, Houtson, Texas, USA}
\end{center}

%\bigskip
{
\begin{abstract}
\normalsize
Write an informative abstract (200-400 words, recommended 300). It may be complemented with keywords and references. Abstract, keywords and references cannot exceed 1 page. Figures and Tables are not allowed. Equations are not recommended.

Fill in the authors details (name and affiliation) and the running header (\emph{lhead}). The abstract paragraph should be indented about 0.25~inches on both left and right-hand margins. The bibliography should follow the {\it Chicago style}. Cite in this way: Pearl et al. (1986) or within parenthesis (Pearl et al. 1986) only one author for brevity. See below for examples.

Submit the abstract in "pdf" format. LaTex and Word files will be not processed.

Important information if you choose the MsWord template: You must install the LM roman font. For this matter you should follow these steps:
\begin{itemize}
\item Copy the font files in the template folder.
\item Check that your MsWord program is not open.
\item Install the fonts one by one: Right-click on the file, select install and follow the process.
\item Open MsWord as usual. Check that you have the LM Roman font. Otherwise, restart Windows.
\item Edit the file normally and generate the pdf file for submission.
\end{itemize}

An abstract of 300 words with keywords and these three references fills the 1 page limit.

\medskip

{\bf Key words: } Include some informative key words separated by commas. \par

\end{abstract}


\textbf{References, if any}\\[-1.5ex]
%If you use BibTex, use (see the LaTeX file):
%\bibliographystyle{chicago}
%\bibliography{name-of-your-BibTex-file}

\hangindent=0.5cm \hangafter=1 %
Ghahramani, Z. (1997).
\newblock Learning dynamic Bayesian networks.
\newblock In C.~Giles and M.~Gori (Eds.), {\em Adaptive Processing of Sequences and Data Structures}, Lecture Notes in Artificial Intelligence, pp.\ 168--197. Berlin: Springer Verlag.

\hangindent=0.5cm \hangafter=1 %
Pearl, J. and L. P. Smith (1986).
\newblock Fusion propagation and structuring in belief networks.
\newblock {\em Artificial Intelligence\/}~{\em 29\/}(3), pp. 241--288.

\hangindent=0.5cm \hangafter=1 %
Whittaker, J. (1990).
\newblock {\em Graphical models in applied multivariate statistics}.
\newblock Chichester: Wiley.

%If you use BibTex, use (see the LaTeX file):
%\bibliographystyle{chicago}
%\bibliography{name-of-your-BibTex-file}





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