Connectionists: IEEE BHI'14: Special session CFP "Towards interpretable Machine Learning applications in biomedicine and health"

[Alfredo Vellido]

*** Apologies for cross-posting ***

Dear colleagues,
We cordially invite you to submit an article to the special session on 
"*Towards interpretable Machine Learning applications in biomedicine and 
health*" of the IEEE BHI'2014.

CALL FOR PAPERS

Special session: Towards interpretable Machine Learning applications in 
biomedicine and health

*IEEE-EMBS International Conference on Biomedical and Health Informatics 
2014 (IEEE BHI'2014)**
*
Valencia, Spain 1-4 June 2014
Web site: http://bhi.embs.org/2014
================================

Important Dates
Deadline for paper submission: 9th December 2013
(Unofficially, the deadline will be extended at least one week)
Notification of acceptance: 23rd January 2014.
Deadline for camera-ready papers: 13th February 2014.

Session goal
===========
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.
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.

Topics of Interest
Topics of interest include, but are not restricted to:
.    Interpretation of non-linear models, including SVMs and other 
kernel methods.
.    Deep learning.
.    Inductive learning, including rule generation from data and 
interpretation of random forests and tree bagging.
.    Graphical models and structure finding.
.    Manifolds for nonlinear dimensionality reduction.
.    Data visualization.
.    Practical applications in biomedicine and health to extract 
knowledge from Machine Learning models.

Session format and submission
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 (http://bhi.embs.org/2014/authors/). 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.

*To submit a paper* for this special session
- Click Submit a contribution to BHI 2014 at 
https://embs.papercept.net/conferences/scripts/start.pl
- Click Submit of the "Special Session Paper" row
- Enter Code *7g259* and complete the rest of the form with the 
information of your contribution

Looking forward to seeing you in Valencia!

José D. Martín, Universitat de València (Spain)
Alfredo Vellido, Universitat Politècnica de Catalunya (Spain)
Paulo J. G. Lisboa, Liverpool John Moores University (UK)

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