\begin{thebibliography}{8}
\providecommand{\natexlab}[1]{#1}
\providecommand{\url}[1]{\texttt{#1}}
\expandafter\ifx\csname urlstyle\endcsname\relax
  \providecommand{\doi}[1]{doi: #1}\else
  \providecommand{\doi}{doi: \begingroup \urlstyle{rm}\Url}\fi

\bibitem[Awichi and M{\"u}ller(2013)]{Awichi2013IMPROVINGSP}
Richard~O. Awichi and Werner~G. M{\"u}ller.
\newblock Improving ssa predictions by inverse distance weighting.
\newblock 2013.

\bibitem[Berrocal et~al.(2007)Berrocal, Raftery, and Gneiting]{berrocal2006}
Veronica~J. Berrocal, Adrian~E. Raftery, and Tilmann Gneiting.
\newblock Combining spatial statistical and ensemble information in
  probabilistic weather forecasts.
\newblock \emph{Monthly Weather Review}, 135\penalty0 (4):\penalty0 1386--1402,
  2007.
\newblock \doi{10.1175/MWR3341.1}.
\newblock URL \url{https://doi.org/10.1175/MWR3341.1}.

\bibitem[Cortez et~al.(2009)Cortez, Cerdeira, Almeida, Matos, and
  Reis]{winedataset}
Paulo Cortez, Ant{\'o}nio Cerdeira, Fernando Almeida, Telmo Matos, and Jos{\'e}
  Reis.
\newblock Modeling wine preferences by data mining from physicochemical
  properties.
\newblock \emph{Decis. Support Syst.}, 47:\penalty0 547--553, 2009.

\bibitem[Dietterich(2000)]{thomas2000}
Thomas~G. Dietterich.
\newblock Ensemble methods in machine learning.
\newblock In \emph{Multiple Classifier Systems}, pages 1--15, Berlin,
  Heidelberg, 2000. Springer Berlin Heidelberg.
\newblock ISBN 978-3-540-45014-6.

\bibitem[Dua and Graff(2017)]{uci}
Dheeru Dua and Casey Graff.
\newblock {UCI} machine learning repository, 2017.
\newblock URL \url{http://archive.ics.uci.edu/ml}.

\bibitem[Mendes-Moreira et~al.(2012)Mendes-Moreira, Soares, Jorge, and
  Sousa]{moreira2012}
Jo\~{a}o Mendes-Moreira, Carlos Soares, Al\'{\i}pio~M\'{a}rio Jorge, and Jorge
  Freire~De Sousa.
\newblock Ensemble approaches for regression: A survey.
\newblock \emph{ACM Comput. Surv.}, 45\penalty0 (1), December 2012.
\newblock ISSN 0360-0300.
\newblock \doi{10.1145/2379776.2379786}.
\newblock URL \url{https://doi.org/10.1145/2379776.2379786}.

\bibitem[Pedregosa et~al.(2011)Pedregosa, Varoquaux, Gramfort, Michel, Thirion,
  Grisel, Blondel, Prettenhofer, Weiss, Dubourg, Vanderplas, Passos,
  Cournapeau, Brucher, Perrot, and Duchesnay]{scikit-learn}
F.~Pedregosa, G.~Varoquaux, A.~Gramfort, V.~Michel, B.~Thirion, O.~Grisel,
  M.~Blondel, P.~Prettenhofer, R.~Weiss, V.~Dubourg, J.~Vanderplas, A.~Passos,
  D.~Cournapeau, M.~Brucher, M.~Perrot, and E.~Duchesnay.
\newblock {Scikit-learn: Machine Learning in Python }.
\newblock \emph{Journal of Machine Learning Research}, 12:\penalty0 2825--2830,
  2011.

\bibitem[{Virtanen} et~al.(2020){Virtanen}, {Gommers}, {Oliphant}, {Haberland},
  {Reddy}, {Cournapeau}, {Burovski}, {Peterson}, {Weckesser}, {Bright}, {van
  der Walt}, {Brett}, {Wilson}, {Jarrod Millman}, {Mayorov}, {Nelson}, {Jones},
  {Kern}, {Larson}, {Carey}, {Polat}, {Feng}, {Moore}, {Vand erPlas},
  {Laxalde}, {Perktold}, {Cimrman}, {Henriksen}, {Quintero}, {Harris},
  {Archibald}, {Ribeiro}, {Pedregosa}, {van Mulbregt}, and
  {Contributors}]{2020SciPy-NMeth}
Pauli {Virtanen}, Ralf {Gommers}, Travis~E. {Oliphant}, Matt {Haberland}, Tyler
  {Reddy}, David {Cournapeau}, Evgeni {Burovski}, Pearu {Peterson}, Warren
  {Weckesser}, Jonathan {Bright}, St{\'e}fan~J. {van der Walt}, Matthew
  {Brett}, Joshua {Wilson}, K.~{Jarrod Millman}, Nikolay {Mayorov}, Andrew
  R.~J. {Nelson}, Eric {Jones}, Robert {Kern}, Eric {Larson}, CJ~{Carey},
  {\.I}lhan {Polat}, Yu~{Feng}, Eric~W. {Moore}, Jake {Vand erPlas}, Denis
  {Laxalde}, Josef {Perktold}, Robert {Cimrman}, Ian {Henriksen}, E.~A.
  {Quintero}, Charles~R {Harris}, Anne~M. {Archibald}, Ant{\^o}nio~H.
  {Ribeiro}, Fabian {Pedregosa}, Paul {van Mulbregt}, and SciPy 1.~0
  {Contributors}.
\newblock {SciPy 1.0: Fundamental Algorithms for Scientific Computing in
  Python}.
\newblock \emph{Nature Methods}, 17:\penalty0 261--272, 2020.
\newblock \doi{https://doi.org/10.1038/s41592-019-0686-2}.

\end{thebibliography}
