Invited session on
Intelligent Techniques for Biology and Chemistry

KES'2003
Seventh International Conference on Knowledge-Based Intelligent Information & Engineering Systems
3, 4 & 5 September 2003
University of Oxford, United Kingdom
Conference Web page: http://www.brighton.ac.uk/kes/kes2003/

Download the call for papers

Organizers of the invited session:

Dr. Daniel NEAGU
University of Bradford
Department of Computing
E-mail address: D.Neagu@bradford.ac.uk
Web address: http://www.scm.brad.ac.uk/html/c_staff_profile.php3?usercode=dneagu

and

Dr. Vasile PALADE
Oxford University
Computing Laboratory
E-mail address: Vasile.Palade@comlab.ox.ac.uk
Web address: http://web.comlab.ox.ac.uk/oucl/people/vasile.palade.html

International Programme Committee:

Objectives

In the last few years, new improved experimental techniques and tools have made possible to collect large quantities of biological and chemical data. There is a critical need for innovative knowledge discovery tools to sift through vast volumes of heterogeneous biological/ chemical data, to analyze these data and express them into new knowledge. The analysis and interpretation of this data range from traditional approaches (statistics, inductive logic) towards more general computational intelligence systems applied to process biological and chemical data: knowledge-based approaches (rule-based inference systems), connectionist systems, knowledge-based information extraction and data mining.
The objective of this invited session is to bring together scientists engaged in artificial intelligence, bioinformatics and chemoinformatics research. The principal challenge the invited session will try to deal with is the communication difficulties that can exist yet between experts in biology, chemistry and experts in computational intelligence. Consequently, it will provide a forum for identifying important contributions and opportunities for research on the application of artificial intelligence to biology and chemistry.

Topics of interest of the session include (but are not limited to) the followings:

Relevant intelligent techniques:

Biology areas of interest:

Chemistry areas of interest:

Instructions for Authors

Only electronic copies of the papers in Microsoft Word, PDF or Postscript forms are acceptable for review purposes and must be sent to the session chairs. However, please note that you would be required to send hard copy of the final version of your paper.
Papers must correspond to the requirements detailed in the Instructions to Authors placed on the Conference Web Site: http://www.hotwolf.f9.co.uk/kes/kes2003/#submission
All papers must be presented by one of the authors, who must pay the Registration Fee.

Registration

The amount of the Registration Fee will be published on the Conference Web Site (http://www.hotwolf.f9.co.uk/kes/kes2003/#registration). For guidance, last years registration fee was about £325 (early standard registration) and £220 student registration. The organizers expect the fee this year to be in the same range. The organizers also expect to be able to offer an attractive price on the Fee combined with the cost of accommodation at St Anne's College, University of Oxford.
Instructions for Registration and a web-based Registration system will also be available on the Conference Web Site.

Publication

The Conference Proceedings will be published by Lecture Notes in Artificial Intelligence (LNAI), Springer.

Extended versions of selected papers will be considered for publication in the International Journal of Knowledge-Based Intelligent Engineering Systems and Journal of Intelligent and Fuzzy Systems published by IOS Press.

Dates: