*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.boubc...@ai.univ-paris8.fr
<mailto:larbi.boubc...@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.boubc...@ai.univ-paris8.fr
http://www.ai.univ-paris8.fr/~boubchir/
_____________________________________________________
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