2007 MLBB Call For
Paper
Background
The
dramatic growth of medical and biological data has created an unprecedented
opportunity for machine learning in the pattern recognition and machine
learning community. Many medical and biological problems involve challenging
approaches to pattern discovery and learning. Increasingly, intelligent systems have
been designed to solve problems in biology and medicine. This workshop is
devoted to introducing new machine learning problems and attracting newly
developed machine learning methods in biomedicine and bioinformatics. The goal of the workshop is to foster
new research collaborations between the biomedicine/bioinformatics community
and the machine learning community.
Topics
We
encourage the submissions of papers on novel machine learning approaches in the
biomedicine and bioinformatics domains, and machine learning methods for
general applications including (but not limited to):
-Biomedical
decision support systems
-Expert
systems
-Medical
informatics
-Medical
(business/financial) intelligence
-Patient
(customer) relationship management
-Electronic medical record (EMR) data mining
-Bioimage mining
-Text mining
-Disease/cancer classification
-Microarray data analysis
-Protein structure prediction and protein fold recognition
-Protein interaction and function prediction
-Motif discovery
-Prediction of sub-cellular localization for proteins
-Sequence analysis and alignment
-Protein interactions and molecular networks
Audience
-Medical informaticians
-Bioinformaticians
-Computer
scientists
-Electrical
engineers
-Statisticians
-Molecular
biologists
-Other
researchers and developers
Important Dates
Submission
deadline: June
15, 2007
Notification of
acceptance: September
1, 2007
Final papers
due: October
1, 2007
Workshop: December
13-15, 2007
Submissions
Papers submitted for this workshop should be submitted by June 15, 2007, at the regular paper submission website (http://www.cs.csubak.edu/~icmla/icmla07/). Papers should not exceed a
maximum of 6 pages (including abstract, body, tables, figures, and
references), and should be submitted as a pdf in
2-column IEEE format. LaTeX document class files
for 2-column format can be found on the IEEE Author Tools web page here.
Proceedings
Accepted papers
will be published in the conference proceedings, as a hardcopy. All accepted papers
must be presented by one of the authors to be published in the conference
proceedings.
A selected
number of accepted papers will be invited for publication, in an expanded and
revised form, in a special issue of International Journal of Data Mining and Bioinformatics.