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*** Apologies for cross-posting ***<br>
<br>
Dear colleagues,<br>
We cordially invite you to submit an article to the special session
on "<b>Towards interpretable Machine Learning applications in
biomedicine and health</b>" of the IEEE BHI’2014.<br>
<br>
CALL FOR PAPERS<br>
<br>
Special session: Towards interpretable Machine Learning applications
in biomedicine and health<br>
<br>
<b>IEEE-EMBS International Conference on Biomedical and Health
Informatics 2014 (IEEE BHI’2014)</b><b><br>
</b> <br>
Valencia, Spain 1-4 June 2014<br>
Web site: <a class="moz-txt-link-freetext" href="http://bhi.embs.org/2014">http://bhi.embs.org/2014</a><br>
================================ <br>
<br>
Important Dates<br>
Deadline for paper submission: 9th December 2013 <br>
(Unofficially, the deadline will be extended at least one week)<br>
Notification of acceptance: 23rd January 2014.<br>
Deadline for camera-ready papers: 13th February 2014.<br>
<br>
Session goal<br>
===========<br>
The practical use of machine learning and computational intelligence
algorithms in biomedicine and health is sometimes hampered by the
limited interpretability of the analytical models, without which it
is difficult to validate against domain expertise and to explain the
extracted knowledge to the user. Model interpretability, which is a
problem that extends to all machine learning fields (classification,
prediction, clustering, etc.), is paramount in those application
domains.<br>
This special session expects to make contributions on interpretable
Machine Learning models: both basic methodology for the
interpretation of efficient non-linear models and practical
applications in biomedicine and health are welcome.<br>
<br>
Topics of Interest<br>
Topics of interest include, but are not restricted to:<br>
• Interpretation of non-linear models, including SVMs and other
kernel methods.<br>
• Deep learning.<br>
• Inductive learning, including rule generation from data and
interpretation of random forests and tree bagging.<br>
• Graphical models and structure finding.<br>
• Manifolds for nonlinear dimensionality reduction.<br>
• Data visualization.<br>
• Practical applications in biomedicine and health to extract
knowledge from Machine Learning models.<br>
<br>
Session format and submission<br>
The session will take place during the IEEE BHI 2014 Conference.
Only papers in English will be accepted. All the papers will go
through the normal conference reviewing process. Final papers are
limited to 4 pages and must follow the conference instructions as
described in the conference website
(<a class="moz-txt-link-freetext" href="http://bhi.embs.org/2014/authors/">http://bhi.embs.org/2014/authors/</a>). The session will consist of a
limited number of paper presentations. A separate submission
procedure has been established for this special session. To submit a
paper to this session, a special code is required for paper upload.<br>
<br>
<b>To submit a paper</b> for this special session<br>
- Click Submit a contribution to BHI 2014 at
<a class="moz-txt-link-freetext" href="https://embs.papercept.net/conferences/scripts/start.pl">https://embs.papercept.net/conferences/scripts/start.pl</a><br>
- Click Submit of the "Special Session Paper" row<br>
- Enter Code <b>7g259</b> and complete the rest of the form with
the information of your contribution<br>
<br>
Looking forward to seeing you in Valencia!<br>
<br>
José D. Martín, Universitat de València (Spain)<br>
Alfredo Vellido, Universitat Politècnica de Catalunya (Spain)<br>
Paulo J. G. Lisboa, Liverpool John Moores University (UK)<br>
<br>
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