 | 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
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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 .
To participate & receive updates, please indicate your interest by
sending an informal email to isf05@neural-forecasting.com 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 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
isf05@neural-forecasting.com
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