<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN">
<html><body style='font-family: Verdana,Geneva,sans-serif'>
<p align="center"><strong>CALL FOR PAPERS CFP – Special Session</strong></p>
<p align="center"><strong>Modern Machine Learning Methods for robust and real-time Brain-Computer Interfaces (BCI)</strong></p>
<p align="center">Paper Submission Deadline: <strong>2 May 2024 </strong></p>
<p align="center"><strong>European Symposium on Artificial Neural Networks,</strong></p>
<p align="center"><strong>Computational Intelligence and Machine Learning (ESANN 2024)</strong></p>
<p align="center"><strong>October 9-11, 2024</strong></p>
<p align="center">Bruges, Belgium.</p>
<p align="center">Online and on-site</p>
<p align="center"><span><a href="http://www.esann.org/">http://www.esann.org</a></span> </p>
<p>Contact Special Session: <a href="mailto:jariascos@correo.iue.edu.co">jariascos@correo.iue.edu.co</a> </p>
<p><strong>The European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN)</strong> 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 (<strong>ESANN 2024</strong>) 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.</p>
<p>Inside ESANN 2024, the special session “<strong>Modern Machine Learning Methods for robust and real-time Brain-Computer Interfaces (BCI)”</strong> 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.</p>
<p>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 following topics:</p>
<p>1. Signal Processing and Feature Extraction:</p>
<p> I. Novel methods for preprocessing EEG signals</p>
<p> II. Feature extraction techniques for real-time BCI applications</p>
<p>2. Classification Algorithms:</p>
<p> I. Advanced machine learning algorithms for BCI signal classification</p>
<p> II. Deep learning approaches in BCI research</p>
<p>3. Real-time BCI Systems:</p>
<p> I. Development of real-time BCI systems</p>
<p> II. Applications and challenges in deploying BCI systems in real-time.</p>
<p>Prospective authors are invited to contribute to the conference by electronically submitting papers through the ESANN portal following the instructions provided at <a href="https://www.esann.org/node/6">https://www.esann.org/node/6</a> 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 <a href="https://www.esann.org/author_guidelines">https://www.esann.org/author_guidelines</a>).</p>
<p>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.</p>
<p><strong>IMPORTANT DATES:</strong></p>
<p>Paper submission deadline: <strong>2 May 2024</strong></p>
<p>Notification of acceptance: <strong>16 June 2024</strong></p>
<p>The ESANN 2023 conference: <strong>9-11 October 2024</strong></p>
<p> </p>
<p>SPECIAL SESSION ORGANISERS:</p>
<p>Fabien Lotte (Inria, France)</p>
<p>Marta Molinas (NTNU, Norway)</p>
<p>Jaime A Riascos (Potsdam University - Institution University of Envigado, Germany - Colombia)</p>
<p> </p>
<p>Bests regards!</p>
<p> </p>
<p> </p>
</body></html>