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IBICA (SS) 2015 : IBICA 2015 6th International Conference on Innovations in Bio-Inspired Computing and Applications (IBICA 2015) Koci - India


When Dec 16, 2015 - Dec 18, 2015
Where Kochi India
Submission Deadline Aug 21, 2015
Notification Due Sep 15, 2015
Final Version Due Jan 25, 2017

Call For Papers

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CALL FOR PAPERS: 6th International Conference on Innovations in Bio-Inspired Computing and Applications (IBICA 2015) Koci - India
December 16 - 18, 2015.
Koci - India

- Online submission of full papers and special session papers. August 21, 2015
- Acceptance/rejection notification: September 15, 2015
- Camera ready and registration: September 30, 2015

SPECIAL SESSION: Nature Inspired Methodologies for Feature Reduction and Function Approximation
Computational Intelligence (CI) has played significant role various in 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 helps 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 feature selection and function approximation in real world application problems.

This session will include (but is not limited to) the usage of nature inspired methodologies for:

Feature selection:
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

Biomedical engineering
Speech recognition and speech production
Communications and computer networks
Data mining and knowledge discovery
Power system applications
Financial engineering applications
Manufacturing and industrial applications
Clinical applications
Big data applications

Paper format and author instructions:
Papers must be formatted according to Springer format (Latex/word) available at:

Varun Kumar Ojha, IT4Innovations, VŠB Technical University of Ostrava, Czech Republic.

Ajith Abraham, IT4Innovations, VŠB Technical University of Ostrava, Czech Republic.

Vaclav Snasel, IT4Innovations, VŠB Technical University of Ostrava, Czech Republic.

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