Overview
The 34th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN 2026) is set to take place from April 22 to 24, 2026, in Bruges, Belgium, and online. This event serves as a significant platform for researchers and practitioners in the fields of machine learning, artificial neural networks, and computational intelligence.
Background & Relevance
ESANN has been a cornerstone event in the AI and machine learning community since its inception in 1993. The symposium addresses a wide range of topics, including mathematical foundations, algorithms, and practical applications of machine learning and neural networks. The importance of this conference lies in its ability to foster collaboration and innovation among researchers, making it a vital event for those involved in AI research.
Key Details
- Conference Dates: April 22-24, 2026
- Location: Bruges, Belgium (hybrid format)
- Submission Deadline: November 19, 2025
- Website: ESANN 2026
- Special Sessions Topics:
- Neuro Symbolic AI and Complex Data
- Reliable Counterfactuals for Machine Learning Models
- Comprehensive Evaluation Strategies for Impactful Machine Learning
- Learning and Reasoning on Knowledge and Heterogeneous Graphs
- Reliability, Safety, and Robustness of AI Applications
- Efficient and Resilient Machine Learning for Industrial Applications
Eligibility & Participation
The call for papers is open to researchers, practitioners, and students interested in contributing to the fields of machine learning and artificial intelligence. Participants are encouraged to submit their work for consideration, regardless of their geographical location, as both in-person and online participation options are available.
Submission or Application Guidelines
To submit a paper, authors should follow these steps:
1. Prepare your manuscript according to the conference guidelines.
2. Submit your paper through the conference website before the deadline of November 19, 2025.
3. Ensure that your submission aligns with the topics of interest outlined in the call for papers.
Additional Context / Real-World Relevance
The ESANN conference not only highlights advancements in machine learning and neural networks but also emphasizes the real-world applications of these technologies. As AI continues to evolve, discussions around reliability, safety, and efficiency become increasingly crucial, making this symposium a timely event for addressing contemporary challenges in the field.
Conclusion
ESANN 2026 offers a unique opportunity for researchers and practitioners to engage with cutting-edge developments in artificial intelligence and machine learning. Interested individuals are encouraged to submit their papers and participate in this prestigious event, whether in person in the historic city of Bruges or online.
Category: CFP & Deadlines
Tags: machine learning, neural networks, computational intelligence, esann, artificial intelligence, data science, statistical processing, hybrid conference
