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Special Sessions

Special sessions are very small and specialized events to be held during the conference as a set of oral and poster presentations that are highly specialized in some particular theme or consisting of the works of some particular international project. The goal of special sessions (minimum 4 papers; maximum 9) is to provide a focused discussion on innovative topics. All accepted papers will be published in a special section of the conference proceedings book, under an ISBN reference, and on digital support. All papers presented at the conference venue will be available at the SCITEPRESS Digital Library. SCITEPRESS is a member of CrossRef and every paper is given a DOI (Digital Object Identifier). The proceedings are submitted for indexation by Thomson Reuters Conference Proceedings Citation Index (ISI), DBLP, EI (Elsevier Engineering Village Index) and Scopus.


Special session proposals are accepted until:

May 3, 2019


If you wish to propose a new Special Session please kindly fill out and submit this Expression of Interest form.

SPECIAL SESSIONS LIST

ECAHA 2019Special Session on Evolutionary Computational Approaches for Healthcare Applications
Chair(s): Khalifa Djemal

Special Session on Evolutionary Computational Approaches for Healthcare Applications - ECAHA 2019

Paper Submission: July 9, 2019
Authors Notification: July 23, 2019
Camera Ready and Registration: July 31, 2019


Chair

Khalifa Djemal
University of Evry Val d'Essonne
France
 
Scope

Evolutionary algorithms whose principle is inspired by the theory of evolution to solve various problems. These bioinspired computational methods, which the idea is to evolve a set of solutions to a given problem, in order to find the best results. The vast majority of these methods are recently used to solve optimization problems applied for recognition and classification in different domains where developed either in real or virtual environment. The objective of this special session is the development and use of these computational intelligence methods in healthcare domain.


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