Please accept the organisers' apologies if you receive multiple copies
of this CFP. Also, please forward this CfP to colleagues and relevant
lists!
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CALL FOR PAPERS
Special Track on "Forecasting with Artificial Neural Networks"
- Forecasting competition
- General research track on forecasting with neural networks
- Tutorial on Forecasting with neural networks
http://www.neural-forecasting.com/conferences/isf05/isf05_cfp.htm
25th International Symposium on Forecasting 2005, June 12-15, 2005
Hyatt Regency Hotel, San Antonio, Texas, USA
http://www.isf2005.org <http://www.isf2005.org/>
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Dear Researchers and Practitioners!
You are invited to submit an abstract related to the theory and practice
of forecasting with artificial neural networks to the special track at
the 2005 International Symposium of Forecasting.
All accepted and presented abstracts will be invited to submit full
papers to be considered for publication. Please find instructions below
or visit our website www.neural-forecasting.com
<http://www.neural-forecasting.com/> .
To participate & receive updates, please indicate your interest by
sending an informal email to [log in to unmask] with "ISF2005
info" in the subject line.
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General CfP
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We invite abstracts related to the theory and practice of forecasting
with neural networks, describing new techniques, methods and models and
novel applications.
We also encourage submissions from practitioners documenting successful
AND unsuccessful novel applications of NN in practice. A list of topics
of interest is included below:.
Methods (include but are not limited to):
- artificial neural networks (all paradigms)
- feedforward & recurrent
- single methods & ensembles
- support vector machines & regression
- NN related & hybrid soft computing methods
Applications (include but are not limited to):
- business forecasting & demand planning
- time series prediction & analysis
- predictive classification & data mining
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Forecasting Competition CfP
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In addition to the general track, we invite submissions to a
"forecasting competition" to derive principles of neural forecasting.
We challenge research and practitioner teams to forecast two univariate
time series - one being the well known airline passenger dataset, the
other an unknown dataset - to evaluate progress in forecasting practices
and established principles.
Additional information, the datasets and the questionnaires will be
available on the website
http://www.neural-forecasting.com/conferences/isf05/isf05_cfp.htm from
January 2005.
Abstracts, presentations and papers should document valid and reliable
experiments, documenting implicit and explicit design decisions,
iterative manual calculations within and outside the framework of neural
network modelling (e.g. preliminary visual or autocorrelation analysis
etc.) and informal knowledge acquired through experience. A detailed
questionnaire to document modelling decisions will be circulated to
compare different modelling approaches in a preliminary framework. Each
approach will be presented with a focus on the modelling process instead
of the out-of-sample performance. The session presentations will be
followed by a round table / panel discussion of experts from research,
practice and leading neural network software providers for reflection.
The forecasting competition's objective is not to determine a dominant
modelling process or method (requiring a multiple time series, multiple
origin etc. forecasting competition), but to highlight and document
implicit as well as explicit decisions and undocumented knowledge
guiding the heuristic modelling process, analysing similarities between
different approaches of researchers in order to derive robust practices
and determine common pitfalls. The selection of only two datasets seeks
to limit the initial effort in simulation and documentation for research
and practitioner teams prior to writing a full paper, while establishing
consistency of the modelling process across different datasets. We hope
to engage the community to discuss and develop "forecasting principles"
for NN modelling, valuable for consecutive research and future
forecasting competitions.
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Submission of Abstracts / Papers
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Prospective authors are invited to submit their abstract (limit of 200
words, no mathematics, no references, a blank line between paragraphs)
electronically on the conference website www.isf2005.org
<http://www.isf2005.org/> following the guidelines posted there.
The review process will contain at least two independent reviewers. For
the forecasting competition, the abstract should describe the NN model
and modelling process applied. Full submissions will be encouraged after
the conference.
All submissions must be received by February 28th 2005.
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Conference Information
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The 25th International Symposium, organised annually by the
International Institute of Forecasting, is the premier conference for
researchers and practitioners in forecasting.
Last years conference in Sydney attracted over 360 international
researchers and practitioners, presenting over 260 papers.
The 2005 event is composed of 26 (planned) major session - attendees
will have full access to all sessions & tracks.
The conferences will be held in the Hyatt Regency San Antonio. Located
on the banks of San Antonio's renowned Riverwalk, across from the Alamo,
with stunning views of old San Antonio,
this 650 room premier convention hotel features a 16 story garden atrium
built over an extension of the San Antonio River, which flows through
the lobby.
San Antonio, Texas, is the eighth largest city in the USA attracting
over 20 million visitors per year. Offering historical sites, Texas-size
entertainment (Sea World, 6 Flags), culture and sports the city is
attractive for everyone.
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Important Dates
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February 28th, 2004 Abstracts due
March 31st, 2005 Notification of acceptance
June 21-24, 2005 25th International Symposium on Forecasting
2005
July 2005 Post-conference proceedings &
publications
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Contact Information
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Track Chair
Sven F. Crone
Lancaster University
Dept. of Management Science
Centre for Forecasting
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