[visionlist] [CFP] Final deadline extension - 6 May - Modern Machine Learning methods for robust and real-time BCI - ESANN 2024

[Jaime Andres Riascos Salas]

Sorry for cross-posting.

CALL FOR PAPERS CFP – SPECIAL SESSION 

MODERN MACHINE LEARNING METHODS FOR ROBUST AND REAL-TIME BRAIN-COMPUTER
INTERFACES (BCI) 

FINAL EXTENSION - Paper Submission Deadline: 6 MAY 2024  

EUROPEAN SYMPOSIUM ON ARTIFICIAL NEURAL NETWORKS, 

COMPUTATIONAL INTELLIGENCE AND MACHINE LEARNING (ESANN 2024) 

OCTOBER 9-11, 2024 

Bruges, Belgium. 

Online and on-site 

http://www.esann.org [1] 

Are you planning to participate? A short additional extension is possible,
please contact the special session organizer: jariascos at correo.iue.edu.co 

THE EUROPEAN SYMPOSIUM ON ARTIFICIAL NEURAL NETWORKS, COMPUTATIONAL INTELLIGENCE
AND MACHINE LEARNING (ESANN) is a leading annual conference dedicated to
cutting-edge research and applications within these fields. Since 1993, ESANN
has provided a vital platform for researchers from academia, industry, and
government to share their latest findings, foster interdisciplinary
collaborations, and network with others in the field. The conference covers core
topics like artificial neural networks, computational intelligence, and machine
learning, and explores wide-ranging applications in areas such as
bioinformatics, engineering, and finance. The 32nd edition of ESANN (ESANN 2024)
will take place in Bruges, Belgium in hybrid mode (both in-person and online
participation), from Wednesday 9 to Friday 11 October 2024. Bruges (also called
the "Venice of the North") is one of the most beautiful medieval towns in
Europe. Bruges is situated about 100 km. from Brussels and can very easily be
reached by train from Brussels' main stations. Bruges is unique in Europe: a
living city of human proportions where you can wander to your heart's content in
virtually unspoiled surroundings. 

Inside ESANN 2024, the special session "MODERN MACHINE LEARNING METHODS FOR
ROBUST AND REAL-TIME BRAIN-COMPUTER INTERFACES (BCI)” aims to spotlight and
consolidate the latest advancements, innovations, challenges, and prospects in
modern machine learning algorithms for BCI, which are both accurate and fast
enough for real-time use, and ideally assessed for real-time use. BCIs are
communication and control systems that enable users to interact with computers
using brain activity only. They are very promising for various applications,
such as assistive technologies, rehabilitation, or mental state monitoring, but
suffer from a lack of robustness. Their robustness mostly relies on advances in
machine learning and signal processing. Simple models offer a quick response to
real-time constraints but often without high accuracies. In contrast, artificial
neural networks and more elaborate models compromise speedy responses for
reaching sometimes higher accuracies. Thus, ideally, there is a need for a
trade-off in complexity in signal processing and machine learning stages to
obtain the best combination, i.e., both high accuracy and speed. 

Therefore, we aim to foster interdisciplinary collaborations and pave the way
for future breakthroughs in this field. We invite authors to submit original
research articles, reviews, and case studies on the next topics: 

1. Signal Processing and Feature Extraction: 

 I. Novel methods for preprocessing EEG signals 

 II. Feature extraction techniques for real-time BCI applications 

2. Classification Algorithms: 

 I. Advanced machine learning algorithms for BCI signal classification 

 II. Deep learning approaches in BCI research 

3. Real-time BCI Systems: 

 I. Development of real-time BCI systems 

 II. Applications and challenges in deploying BCI systems in real-time. 

Prospective authors are invited to contribute to the conference by
electronically submitting papers through the ESANN portal following the
instructions provided at https://www.esann.org/node/6 [2] and choosing our
session's title as Target Session on the paper submission form. Papers must not
exceed 6 pages, including figures and references. All papers will be submitted
to a single-blind peer-review process. LaTeX and Word-style files are available.
They must be used for generating the PDF file (see author guidelines at
https://www.esann.org/author_guidelines [3]). 

Accepted papers will be presented as either talks or posters (in-person or
online), to favor interaction with the ESANN attendees. There is no difference
in quality between talks and posters; all papers will be published in the
conference proceedings. At least one author must register for the conference and
pay the registration fee. We ask prospective authors to send us an e-mail with
the tentative title of their contribution to the special session as soon as
possible. 

IMPORTANT DATES: 

FINAL EXTENSION - Paper submission deadline: 2 MAY 2024   6 MAY 2024 

Notification of acceptance: 16 JUNE 2024 

The ESANN 2023 conference: 9-11 OCTOBER 2024 

SPECIAL SESSION ORGANZERS: 

Fabien Lotte (Inria, France) 

Marta Molinas (NTNU, Norway) 

Jaime A Riascos (Potsdam University - Institution University of Envigado,
Germany - Colombia) 

Bests regards! 

-- 
Jaime A. Riascos Salas

 

Links:
------
[1] http://www.esann.org/
[2] https://www.esann.org/node/6
[3] https://www.esann.org/author_guidelines
-------------- next part --------------
An HTML attachment was scrubbed...
URL: <http://visionscience.com/pipermail/visionlist_visionscience.com/attachments/20240503/ebb30f49/attachment.html>