Connectionists: Call for papers Workshop @ ICANN 2017

[Antonino Staiano]

Neural Networks meet Natural and Environmental Sciences

(Chairs: Antonino Staiano, University of Naples Parthenope - Italy,
Giovanni Burgio, University of Bologna, Italy)



Nowadays, human being’s main worries are about the earth’s health. Although
the technological development brought, undoubtedly, countless benefits to
our life, likewise it has been accompanied by several troubles for earth
planet, which are now threatening its future and our life.

Ordinarily, natural and environmental scientists have to cope with complex
decision making processes for assessing the potential impacts or risks
associated to a given specific threaten at hand, in order to study and
implement the necessary initiative to deal with and resolve the problem.
That happens, just to name a few cases: when simulating the export of
nutrients from river basins; to forecast salinity; to forecast ozone
levels; to predict air pollution and the functional characteristics of
ecosystems; to model algal growth and transport in rivers; to assess the
risk of mortality of sensible species associated to the deliberate release
of genetically modified organisms or plants in the environment; and to
analyse the degradation of pesticides in soils used in agriculture through
the analysis of physical and chemical parameters.

However, very often scientists base their work on statistical tools or
simple mathematical models incapable to capture the inherent complexities
and the interactions of several independent variables.

Here is where Neural Networks and more in general, machine learning, come
into play. Machine learning techniques, for their nature, possess
potentially apt characteristics to address that application domain.
Therefore, the aim of the workshop is to outline the state-of-the-art of
using neural networks, machine learning and the more general field of
computational intelligence to real-world environmental and natural science
domains, at the same time stimulating the discussion presenting new or
little explored case studies to encourage more and more interdisciplinary
collaborations in a so fascinating and fundamental application domain.

Researchers and practitioners in both computer science and natural and
environmental science are solicited to submit papers to present their
experiences on the topic or on potentially new application domains where
computational intelligence methods could be applied.The topics include but
are not limited to Statistical and probabilistic models, Neural networks,
Fuzzy systems, Rough sets, Neuro-fuzzy systems and Neuro-Fuzzy-Rough
systems, Evolutionary algorithms, Kernel Methods, Ensemble learning,
Ecology, Atmosphere and climate change, Ecosystem dynamics, Entomology,
marine environment, water (marine, fluvial and lake) pollution, air
pollution, pesticide and genetically modified organisms risk assessment.


Types of Contributions

http://www.icann2017.org/index.php/contributors/submission/


The ICANN 2017 proceedings will be published in the Springer Lecture Notes
in Computer Science (LNCS) series, indexed as peer-reviewed publication in
the Web of Science.


All scientific communications presented at ICANN 2017 will be reviewed and
scientifically evaluated by a panel of experts. The conference will feature
two categories of communications:

– oral communications (15′ + 5′)
– poster communications (on display all the time and 2 hours’ presentation)

Full paper submission
Authors willing to present original contributions as a full paper must
submit a manuscript of maximum 8 pages of length. Manuscripts will be
reviewed to international standards by, at least, three referees. Accepted
papers of contributing authors will be published in Springer-Verlag Lecture
Notes in Computer Science (LNCS) series.

Short paper (extended abstract) submission (NEW!)
As a new possibility at ICANN, authors willing to present a contribution
for oral communications or posters without submitting a full manuscript
must submit a 1-page short paper (extended abstract) that will also be
refereed by, at least, three referees. The short papers will be published
in the proceedings.

During the submission process, make sure to select the kind of contribution
you want to submit. To summarise, the following options are available:

short paper submission with oral contribution
full paper submission with oral contribution
short paper submission and poster (no talk)
full paper submission and poster (no talk)

Notice that the choice between poster and oral presentation is only a
request. The program committee reserves the right to change the format of a
contribution if necessary.

In case of full paper submission, the maximum length is 8 pages (with
references included; the number of pages should always be even). In case of
short paper submission, the maximum length is one page. In both cases,
please typeset your text with LaTeX using the class and the template
provided below.
At the time of submission, you should only upload the PDF version of your
manuscript. In case of acceptance, you will have to upload the camera-ready
version of your paper, including the LaTeX sources.

To submit a paper, please select *S03: Machine Learning and ANN
applications to Ecology * in the submission system (
http://www.icann2017.org/)

THE DEADLINE TO SUMBIT A PAPER IS VERY CLOSE:

MAY 3, 2017



Antonino Staiano, PhD
Assistant Professor
Dept. Science and Technology
University of Naples Parthenope, Italy
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