Connectionists: CFP: IJCNN Special Issue on "Artificial Intelligence and Advanced Machine Learning for Biomedical Signal Processing"

[Larbi Boubchir]

*IJCNN Special Issue on*

*Artificial Intelligence and Advanced Machine Learning for Biomedical 
Signal Processing*

*IEEE International Joint Conference on Neural Networks (IJCNN) *

July 19-24, 2020, Glasgow, Scotland (UK)

*Scope and Aim*

Biomedical signal processing involves the analysis and treatment of the 
physiological electrical activities measured using sensors placed on a 
living thing, in order to provide useful information on which decisions 
can be made. Recently, Artificial Intelligence (AI) and Machine Learning 
(ML) have received a great attention to solve difficult and complex 
problems related to biosignals analysis and processing; where the 
traditional signal processing and conventional machine learning 
techniques have shown their limitations to solve such problems. Indeed, 
the recent advances in this area have brought an impressive progress to 
solve several practical and difficult problems in many fields including 
medicine, e-health, healthcare, neuroscience, brain-computer interface 
(BCI), neurofeedback, robotics, robotic exoskeletons and biometrics, 
etc. In this context, the advanced learning techniques such as deep 
learning, reinforcement learning, deep reinforcement learning, 
statistical learning have shown their effectiveness to resolve various 
problems of detection, classification, clustering, segmentation, 
control, diagnosis, etc.; and thus becomes useful solutions to be 
investigated more for other open problems.

The aim of this special issue is to bring together researchers and 
scientists in the fields of biomedical signal processing, AI and ML, to 
present and discuss the recent advances on learning methods and 
intelligent approaches for biomedical signal and image processing.

*Topics*

The main topics that are of interest to this session include, but are 
not limited to:

  * AI for biomedical signal processing and analysis
  * ML for biomedical signal processing and analysis
  * Advanced ML for biomedical data processing (e.g. deep learning,
    reinforcement learning, deep reinforcement learning, statistical
    learning…)
  * Biomedical data processing in Big Data
  * Advanced biomedical signal and image processing methods with
    application in medicine, e-health, healthcare, neuroscience, BCI,
    neurofeedback, robotics, robotic exoskeletons, biometrics, etc.
  * Related applications

*Important Dates*

  * Paper Submissions: *January 15, 2020*
  * Paper Acceptance Notifications: *March 15, 2020*
  * Camera Ready Submission of Accepted Papers: *April 15, 2020*
  * Conference: *July 19-24, 2020*

*Submission Guidelines*

  * This special session will be held in 2020 International Joint
    Conference on Neural Networks-IJCNN (wcci2020.org/ijcnn-sessions/
    <http://wcci2020.org/ijcnn-sessions/>), as part of 2020 IEEE World
    Congress on Computational Intelligence (https://wcci2020.org
    <https://wcci2020.org/>) (Glasgow, Scotland, United Kingdom, July
    19-24, 2020).
  * All papers should be prepared according to the IJCNN 2020 policy and
    should be submitted electronically using the conference website
    (https://wcci2020.org/).
  * To submit your paper to this special session, you will choose our
    special session *“S59. Artificial Intelligence and Advanced Machine
    Learning for Biomedical Signal Processing”*on the submission page
    https://ieee-cis.org/conferences/ijcnn2020/upload.php
  * All papers accepted and presented at IEEE IJCNN/WCCI 2020 will be
    included in the conference proceedings published by IEEE Explore,
    which are typically indexed by EI.

*Journal Special Issue*

A selection of accepted papers will be invited for publication in a 
special issue of a SCOPUS indexed journal (to be announced).

*Organizers*

*Larbi Boubchir *(Lead Organizer)

/Associate Professor, LIASD research Lab., Department of Computer 
Science, University of Paris 8, France /

*Boubaker Daachi *(Co-organizer)

/Full Professor, LIASD research Lab., Department of Computer Science, 
University of Paris 8, France /

*Contact and information*

Web page : http://www.ai.univ-paris8.fr/~boubchir/SS/ss-ijcnn2020.html

Larbi Boubchir : larbi.boubchir at ai.univ-paris8.fr 
<mailto:larbi.boubchir at ai.univ-paris8.fr>

-- 
_____________________________________________________
Larbi Boubchir, PhD, SMIEEE
Associate Professor-HDR

LIASD - University of Paris 8
2 rue de la Liberté, 93526 Saint-Denis, France
Tel. (+33) 1 49 40 67 95
Email. larbi.boubchir at ai.univ-paris8.fr
http://www.ai.univ-paris8.fr/~boubchir/
_____________________________________________________
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