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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 SESSIONS LIST

ECAHA 2018Special Session on Evolutionary Computational Approaches for Healthcare Applications
Chair(s): Khalifa Djemal

DLAIDI 2018Special Session on Deep Learning based Approaches for Image Data Interpretation
Chair(s): Wadii Boulila

Special Session on Evolutionary Computational Approaches for Healthcare Applications - ECAHA 2018

Paper Submission: July 16, 2018 (expired)
Authors Notification: July 23, 2018
Camera Ready and Registration: July 31, 2018


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. The objective of this special session is the development and use of these computational intelligence methods in healthcare domain. 


Special Session on Deep Learning based Approaches for Image Data Interpretation - DLAIDI 2018

Paper Submission: July 16, 2018 (expired)
Authors Notification: July 23, 2018
Camera Ready and Registration: July 31, 2018


Chair

Wadii Boulila
National School of Computer Sciences
Tunisia
 
Scope

Image data is used in many fields such as remote sensing, medical, face recognition, movement detection, etc. 
In all of these fields, several operations and tasks are needed to be able to understand the content of images.  Tasks of analysis, modeling and interpretation of image data become more complex. The manual interpretation becomes a time consuming and expensive task.
Today, an extensive research has devoted to deep learning (DL). The interest in the application of
DL techniques has increased in the last decade and it has become one of the main research fields in computer science. This is due to the better feature representation and the high performance of DL architectures. 
The purpose of this track is to propose DL based approaches for image analysis and interpretation. These approaches will help users make efficient decisions in many fields related to image data.



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