ESANN 2011 - ESANN 2011 Special Session: "Seeing is believing: The importance of visualization in real-world machine learning applications"

ESANN 2011 Special Session:
"Seeing is believing: The importance of visualization in real-world
machine learning applications"

European Symposium on Artificial Neural Networks, Computational
Intelligence and Machine Learning

27-29 April 2011, Bruges, Belgium

http://www.dice.ucl.ac.be/esann

AIMS & SCOPE

Data visualization is crucial in many real-world problems dealing with
knowledge extraction. Adequate and intuitive data visualization
techniques may provide much insight about the information underlying a
given data set.

Visualization processes are usually unproblematic when data sets
consist of only a reduced number of attributes, but the scenario may
become much more difficult when dealing with high-dimensional data.
These are becoming increasingly common in real-world applications.
Straightforward visualization can also be non-trivial for structured
data such as large trees, graphs or time series.

Lately, much research in the machine learning and computational
intelligence fields has been devoted to the development of high-
dimensional and structured data visualization techniques. Dynamic and/
or interactive visualization methods are also becoming more readily
available.

This session aims to respond to the need for such techniques in real-
world application areas for which visualization is paramount. A
particular emphasis will be put on medical applications, but the
submission of results from other fields is encouraged, especially if
research addresses the challenges outlined above, concerning data
dimensionality or complexity issues.

The theme should appeal both to scientists interested in the
development of novel data visualization methods and to those mainly
interested in the application of such techniques to specific real
problems.

Session organizers:
Dr. Alfredo Vellido (Technical University of Catalonia, Spain),
Dr. José D. Martín (University of Valencia, Spain),
Prof. Paulo J. G. Lisboa (Liverpool John Moores University, U.K.)
Prof. Fabrice Rossi (Télécom ParisTech, France).

Important dates:
Deadline for submission: November, 24th
Notification of acceptance: January, 18th
Camera-ready paper: February, 21st