Connectionists: CFP UPDATE due to COVID-19 - MAES at ICPR2020 workshop - submission postponed to October 10th, 2020

[Fabio Bellavia]

                      MAES2020 workshop at ICPR2020
          *** UPDATES in relation to COVID-19 (Coronavirus) ***


       \\\ SUBMISSION DEADLINE POSTPONED TO OCTOBER 10TH, 2020 ///


            ---===== Apologies for multiple posting =====---
           Please distribute this call to interested parties
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    Machine Learning Advances Environmental Science (MAES at ICPR2020)

                            workshop at the
    25th International Conference on Pattern Recognition (ICPR2020)
                   Milan, Italy, January 10-15, 2021

          >>> https://sites.google.com/view/maes-icpr2020/ <<<

_______________________________________________________________________


=== UPDATES in relation to COVID-19 (Coronavirus) ===

Given the COVID-19 situation in Italy and all over the globe, the ICPR 
2020 Chairs have decided to shift the Conference schedule, including 
MAES, to January 2021.

MAES submission deadline has been postponed as well to October 10th, 2020.


  === Aim & Scope ===

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.

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.

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.

Extended papers of this workshop will be published as a special issue in 
the journal of Environmental Modelling and Software, Elsevier.


  === Important Dates ===

-  October  10th, 2020 - workshop submission deadline
-  November 10th, 2020 - author notification
-  November 15th, 2020 - camera-ready submission
-  December  1st, 2020 - finalized workshop program


  === Organizers ===

   Francesco Camastra, Universita' di Napoli Parthenope, Italy
  Friedrich Recknagel, University of Adelaide, Australia
     Antonino Staiano, Universita' di Napoli Parthenope, Italy


  == Publicity chair ==

       Fabio Bellavia, Universita' di Palermo, Italy

_______________________________________________________________________

  Contacts: antonino.staiano at uniparthenope.it
            francesco.camastra at uniparthenope.it

  Workshop: https://sites.google.com/view/maes-icpr2020/
  ICPR2020: https://www.micc.unifi.it/icpr2020/