Overview
The 28th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN 2020) is set to take place in Bruges, Belgium, from April 22 to April 24, 2020. This event serves as a prominent platform for researchers and practitioners in the fields of machine learning and computational intelligence to share their latest findings and innovations.
Background & Relevance
ESANN has established itself as a significant event since its inception in 1993, fostering discussions around advancements in artificial neural networks and computational intelligence. The conference covers a wide array of topics, including mathematical foundations, algorithms, and practical applications, making it a vital gathering for those involved in these rapidly evolving fields.
Key Details
- Conference Dates: April 22-24, 2020
- Location: Bruges, Belgium
- Submission Deadline: November 18, 2019
- Special Sessions Topics:
- Learning from partially labeled data
- Machine Learning applied to Computer Networks
- Tensor Decompositions in Deep Learning
- Language processing in the era of deep learning
- Machine learning in the pharmaceutical industry
- Quantum Machine Learning
- Frontiers in Reservoir Computing
- Website: ESANN 2020
Eligibility & Participation
The conference invites submissions from researchers, practitioners, and students who are working in the fields of machine learning, artificial neural networks, and computational intelligence. It aims to bring together a diverse group of participants to foster collaboration and innovation.
Submission or Application Guidelines
Interested participants should prepare their papers in accordance with the guidelines provided on the ESANN website. Submissions must be made by the specified deadline to be considered for presentation at the conference.
Additional Context / Real-World Relevance
The significance of ESANN lies in its ability to bridge the gap between theoretical research and practical applications. By focusing on various aspects of machine learning and computational intelligence, the conference contributes to the ongoing dialogue in these fields, addressing challenges and exploring new frontiers.
Conclusion
Researchers and practitioners are encouraged to submit their work to ESANN 2020 and participate in this esteemed conference. This is a valuable opportunity to share insights, network with peers, and contribute to the advancement of knowledge in machine learning and computational intelligence.
Category: CFP & Deadlines
Tags: machine learning, artificial neural networks, computational intelligence, deep learning, quantum machine learning, language processing, pharmaceutical industry, reservoir computing, tensor decompositions, computer networks
