*** 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
_______________________________________________________________________
Machine Learning Advances Environmental Science (MAES@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@uniparthenope.it
francesco.camastra@uniparthenope.it
Workshop: https://sites.google.com/view/maes-icpr2020/
ICPR2020: https://www.micc.unifi.it/icpr2020/
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