Download Special Session on “Application of Nature Inspired Algorithms for

Special Session on “Application of Nature Inspired Algorithms for Feature
Selection and Function Approximation”
Important Dates
Last Date of Paper Submission
28th June, 2016
Notification of Acceptance
28th August, 2016
Camera Ready Copy
28th September, 2016
Publication
All accepted and registered
papers of this special session will
be published in Springer
Advances in Intelligent Systems
and Computing (AISC) series.
[Now indexed by: ISI Web of Science
Proceedings,
DBLP,
Ulrich's,
EICompendex,
SCOPUS, Zentralblatt Math, MetaPress
and Springerlink]
http://www.springer.com/series/11156
Submission Guidelines
1. Prospective authors are invited
to submit original research work
that falls within the scope of the
session. All submissions will be
thoroughly peer-reviewed by
experts based on originality,
significance and clarity.
2. Only papers presenting novel
research results or successful
innovative applications will be
considered for publication in the
conference proceedings.
3. Kindly ensure that your paper
is formatted as per Springer
AISC Template (not exceeding 8
pages written in A4 size).
Registration
Please visit conference webpage
for registration and other details:
http://ic3t.mictech.ac.in/index.ph
p/registration
Session Chair(s):
Dr. Sujata Dash,
Affiliation: North Orissa University, Baripada,Odisha, India
E-Mail: [email protected],
Mobile No: 8599001215
Theme of Session:
Computational Intelligence (CI) has played a significant role in
various industrial applications such as pharmaceutical, medical,
chemical, etc. Data generated or collected for modeling is a
crucial aspect apart from the conventional experimental work
carried-out in the industry. Often collected data need to be
analyzed. In this case, CI tools help in understanding and
modeling collected data. For several applications, critical
variables involved in the experimental process need to be
determined. Hence, feature selection methods helps discovering
these critical variables. This session is devoted to novel
research featuring feature selection and function approximation
in real world application problems.
Topics of Interest:
We invite original (un-published) research contributions based on the
above mentioned theme including following topics but not limited to:
Dimensionality reduction
• Feature weighting
• Feature ranking
• Subset selection
• Feature extraction/construction
• Feature selection methodology
• Integration with data mining algorithms
• Data streams and time series
• Selection in extremely high-dimensional domains
• Real-world case studies and applications
Function Approximation
• Neural networks
• Fuzzy neural networks
• Support vector machines and kernel methods
• Mixture models, ensemble learning, and other meta-learning or committee
algorithms
• Hybrid learning methods
• Deep learning
• Brain-inspired cognitive architectures
• Collective intelligence
• Self-configuring systems
• Hybrid intelligent systems
Paper Submission Process:
Please submit your paper (in word/pdf format) at
email:
with ‘Name of Special Session: ’ mentioned in the subject line.
Program Committee:
Prof. Ajit Abraham, MIR Labs, USA
Prof. B.K. Tripathy, VIT, Chennai
Prof P.K.Mohanty, New Brunswick University, Canada
Prof. Atta Ur Rehman, BIT University, Pakistan
Prof. Tarini Charan Panda, Ravenshaw University
Dr. H.N. Kalia, U.N. College, Mayurbhanj,
For any further queries related to this special session, please contact the session
chairs at:
E-mail ID: [email protected]
Mobile No.:+91-8599001215