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Call for Papers - MAES@ICPR2020</font><font size="-1"><br>
<br>
<font face="Courier New, Courier, monospace"> ---=====
Apologies for multiple posting =====---</font><br>
<font face="Courier New, Courier, monospace"> Please
distribute this call to interested parties</font><br>
<font face="Courier New, Courier, monospace">__________________________________________________________________</font><br>
<br>
<font face="Courier New, Courier, monospace"> Machine Learning
Advances Environmental Science (MAES@ICPR2020)</font><br>
<br>
<font face="Courier New, Courier, monospace">
workshop at the</font><br>
<font face="Courier New, Courier, monospace"> 25th International
Conference on Pattern Recognition (ICPR2020)</font><br>
<font face="Courier New, Courier, monospace"> Milan,
Italy, September 13-18, 2020</font><br>
<br>
<font face="Courier New, Courier, monospace"> >>> <a
class="moz-txt-link-freetext"
href="https://sites.google.com/view/maes-icpr2020/"
moz-do-not-send="true">https://sites.google.com/view/maes-icpr2020/</a>
<<<</font><br>
<br>
<font face="Courier New, Courier, monospace">__________________________________________________________________</font><br>
<br>
<br>
<font face="Courier New, Courier, monospace"> === Important Dates
===</font><br>
<br>
<font face="Courier New, Courier, monospace"> June 15th 2020 -
workshop submission deadline</font><br>
<font face="Courier New, Courier, monospace"> July 15th 2020 -
author notification</font><br>
<font face="Courier New, Courier, monospace"> July 30th 2020 -
camera-ready submission</font><br>
<font face="Courier New, Courier, monospace"> August 15th 2020 -
finalized workshop program</font><br>
<br>
<br>
<font face="Courier New, Courier, monospace"> === Aim & Scope
===</font><br>
<br>
<font face="Courier New, Courier, monospace">Environmental data
are growing steadily in volume, complexity and diversity to Big
Data mainly driven by advanced sensor technology. Machine
learning can offer superior techniques for unravelling
complexity, knowledge discovery and predictability of Big Data
environmental science.</font><br>
<br>
<font face="Courier New, Courier, monospace">The aim of the
workshop is to provide a state-of-the-art survey of
environmental research topics that can benefit from Machine
Learning methods and techniques. To this purpose the workshop
welcomes papers on successful environmental applications of
machine learning and pattern recognition techniques to diverse
domains of Environmental Research, for instance, recognition of
biodiversity in thermal, photo and acoustic images, natural
hazards analysis and prediction, environmental remote sensing,
estimation of environmental risks, prediction of the
concentrations of pollutants in geographical areas,
environmental threshold analysis and predictive modelling,
estimation of Genetical Modified Organisms (GMO) effects on
non-target species.</font><br>
<br>
<font face="Courier New, Courier, monospace">The workshop will be
the place to make an analysis of the advances of Machine
Learning for the Environmental Science and should indicate the
open problems in environmental research that still have not
properly benefited from Machine Learning.</font><br>
<br>
<font face="Courier New, Courier, monospace">Extended papers of
this workshop will be published as a special issue in the
journal of Environmental Modelling and Software, Elsevier.</font><br>
<br>
<br>
<font face="Courier New, Courier, monospace"> === Organizers ===</font><br>
<br>
<font face="Courier New, Courier, monospace"> Francesco Camastra,
Universita' degli Studi di Napoli Parthenope, Italy</font><br>
<font face="Courier New, Courier, monospace"> Friedrich Recknagel,
University of Adelaide, Australia</font><br>
<font face="Courier New, Courier, monospace"> Antonino Staiano,
Universita' degli Studi di Napoli Parthenope, Italy</font><br>
<br>
<font face="Courier New, Courier, monospace">_________________________________________________________</font><br>
<br>
<font face="Courier New, Courier, monospace"> Contacts: <a
class="moz-txt-link-abbreviated"
href="mailto:antonino.staiano@uniparthenope.it"
moz-do-not-send="true">antonino.staiano@uniparthenope.it</a></font><br>
<font face="Courier New, Courier, monospace"> <a
class="moz-txt-link-abbreviated"
href="mailto:francesco.camastra@uniparthenope.it"
moz-do-not-send="true">francesco.camastra@uniparthenope.it</a></font><br>
<br>
<font face="Courier New, Courier, monospace"> Workshop: <a
class="moz-txt-link-freetext"
href="https://sites.google.com/view/maes-icpr2020/"
moz-do-not-send="true">https://sites.google.com/view/maes-icpr2020/</a></font><br>
<font face="Courier New, Courier, monospace"> ICPR2020: <a
class="moz-txt-link-freetext"
href="https://www.micc.unifi.it/icpr2020/"
moz-do-not-send="true">https://www.micc.unifi.it/icpr2020/</a></font><br>
<br>
</font>
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